Samsung unveils “Ballie” SPY MACHINE that rolls around your home spying on everything while controlling your electronic devices


In a race with Amazon to the bottom, Samsung has unveiled a new spy machine robot called “Ballie” that rolls around people’s homes watching and listening to everything they do while controlling all their electronic devices.

First unveiled back in 2020, Ballie’s latest hypothetical design is roughly the size of a bowling ball on wheels – previously it was only about the size of a tennis ball. The spying device also now contains a built-in projector that can display a virtual work call, a yoga program, or whatever else the user wants projected on a wall or ceiling – the video below shows what Ballie looks like and what it does:

4. AI Robot companion called ‘Ballie’ by Samsung pic.twitter.com/dPV9dn9hsl

— Rowan Cheung (@rowancheung) January 9, 2024

(Related: Previously, Amazon’s Echo device was considered to be the ultimate spy machine to listen to and record everything users do and say.)

Does the world really need another in-home spying device?

At the recent CES 2024 event, Samsung showed off the Ballie in a demo, though attendees were not allowed any one-on-one time with the spherical robot device. In the demo, Ballie’s movements were “obviously tightly scripted and controlled,” to quote Engadget‘s Nathan Ingraham.

Ingraham says the demo “at the very least … gave us an idea of how the company envisions Ballie being used.” In other words, Ballie’s real-life use cases are still all hypothetical as the device is still under development.

An actor at CES 2024 asked Ballie to start a workout routine for him, which prompted the machine to project a workout video on the wall for immediate use, along with music to go along with it.

“Sure, you could just use your TV for that, but when one of the exercises called for laying down, Ballie shot the video to the ceiling so the actor could continue following along,” Ingraham explains.

In another demo example, Ballie displayed a visual representation of the air quality of a home to which it was connected via an air purifier. Ballie displayed not only particulate statistics but also a warning that the filter in the air purifier needed changing.

“The idea here is to show that Ballie can talk to all your smart home devices and display info from them, even if they don’t have a dedicated display,” Ingraham says.

Much like a smartphone, Ballie is also able to display a user’s calendar, place phone calls and even show video footage of, say, the inside of one’s “smart” Samsung refrigerator or the front stoop in the pathway of a “smart” doorbell.

“It’s cute, and it was fun to see Ballie confidently rolling around the floor of the demo area, but I can’t help but think that it’s solving exactly zero real world problems either,” Ingraham further notes.

According to Samsung, the first working Ballie devices will be on sale towards the end of the year, but not everyone, including Ingraham, is convinced it will actually materialize.

“I’m not fully convinced, as we’ve seen a lot of similar projects die in the wind, but I am definitely rooting for the little robot,” he writes.

Reports indicate that the latest iteration of Ballie presented at CES 2024 contains a spatial LiDAR sensor and a 1080p projector, the latter of which has two lenses and allows the robot to project movies, video calls and “greetings” on its surrounding surfaces.

A video shown during the device’s keynote depicted Ballie greeting a user who just returned home from work or an errand by projecting the word “Welcome” on the wall.

Robots push the boundaries of interventional radiology


Long confined to surgery, robots are making their first steps in interventional radiology. Those devices could help improve accuracy in tumour targeting during needle insertion and help less experienced radiologists perform ablations, a leading French interventional radiologist showed at the Spectrum conference in Miami.

Photo

Robots have gone a long way ever since they were first introduced to the field of neurosurgery in 1985. Many devices are available today, and some have the potential to boost interventional procedures, according to Thierry De Baère, professor of medicine at Paris Saclay University and Head of Interventional Radiology at Gustave Roussy Cancer Centre in France. 

For over a year, his team has worked with the Epione robot system from French manufacturer Quantum Surgical, which has shown promising early clinical results in more than 100 patients for ablation procedures and other needle guided procedure at Gustave Roussy. The team has used the robot for various types of procedures including cryoablation, RFA and MWA in the liver and kidney, as defined by the device’s CE mark. But the French group also used the robot off-label in bone reconstruction and lung thermal ablation. Their experience has been very positive, De Baère explained. ‘The robot is giving you the needle trajectory and placing the needle on track,’ he said. ‘The robotic system of needle insertion is safe, highly feasible and requires only a few needle adjustments. It provides efficient thermal ablation.’ 

Steps for robotic needle insertion include image acquisition, needle trajectory planning, robot placement, needle insertion and image verification. ‘You align the centre of the ablation to the centre of the tumour, then you’re all set and ready to send the robot,’ he said. ‘You send the arm to the location established in the treatment planning. And all you have to do is to push the needle in a single step from the skin to the target, which is something that we’re not used to.’ After the insertion, radiologists can see where the needles are and correct the position if needed. 

An interesting possibility with the system is how it can expedite needle insertion in procedures where multiple needles are required, De Baère explained. ‘Tumour ablation in the kidney can be complex and time consuming if we have to stick many needles,’ he said. ‘With the robot, insertion of one additional needle was below one minute in most of our patients, and below two minutes for the rest. Once we decide our trajectory, we can go faster with the device.’

Low hanging fruits

There are several areas where the system could help advance interventional radiology, he went on. ‘The robot increases the degree of freedom for needle insertion in any plane. This could offer more stable guidance and accuracy at the time of placing the needle tip at the centre of the target,’ he said. 

A second benefit concerns dose reduction. ‘As interventional radiologists we get a lot of radiation when we are working and dose matters to both patients and physicians,’ he said. ‘With a robot, it’s obvious that you can decrease radiation to physicians because they are no longer inside the room.’ 

One more thing De Baère hopes to achieve with the robot is more homogeneity in axial and oblique plane needle insertion. ‘In oblique plane puncture, you don’t see the whole plane during the entire needle placement,’ he said. ‘With the robot, there should be no variation, as it gives you angle free trajectory, offering a new way to approach the tumour.’ 

Last but not least, there is a short learning curve for the system and beginners can start working very fast with the equipment. ‘Everybody can do the same. For a beginner it’s great,’ said De Baère, who compared the performance of three experts with ten years’ experience with that of a novice without prior experience in sticking needles. ‘In just a few days, the beginner was doing as good as we have done for the past 20 years,’ he said. 

Another significant benefit with the robot is its respiratory monitoring function. ‘It’s better to work under apnea, because the target is moving with the breathing, so you need to monitor that. If you cannot reproduce your breath hold, you might get the wrong target,’ he said. 

Future development will need to take into account footprint, comparison of set-up time vs. manual adjustment. 

Robots push the boundaries of interventional radiology


Long confined to surgery, robots are making their first steps in interventional radiology. Those devices could help improve accuracy in tumour targeting during needle insertion and help less experienced radiologists perform ablations, a leading French interventional radiologist showed at the Spectrum conference in Miami.

Photo

Robots have gone a long way ever since they were first introduced to the field of neurosurgery in 1985. Many devices are available today, and some have the potential to boost interventional procedures, according to Thierry De Baère, professor of medicine at Paris Saclay University and Head of Interventional Radiology at Gustave Roussy Cancer Centre in France. 

For over a year, his team has worked with the Epione robot system from French manufacturer Quantum Surgical, which has shown promising early clinical results in more than 100 patients for ablation procedures and other needle guided procedure at Gustave Roussy. The team has used the robot for various types of procedures including cryoablation, RFA and MWA in the liver and kidney, as defined by the device’s CE mark. But the French group also used the robot off-label in bone reconstruction and lung thermal ablation. Their experience has been very positive, De Baère explained. ‘The robot is giving you the needle trajectory and placing the needle on track,’ he said. ‘The robotic system of needle insertion is safe, highly feasible and requires only a few needle adjustments. It provides efficient thermal ablation.’ 

Steps for robotic needle insertion include image acquisition, needle trajectory planning, robot placement, needle insertion and image verification. ‘You align the centre of the ablation to the centre of the tumour, then you’re all set and ready to send the robot,’ he said. ‘You send the arm to the location established in the treatment planning. And all you have to do is to push the needle in a single step from the skin to the target, which is something that we’re not used to.’ After the insertion, radiologists can see where the needles are and correct the position if needed. 

An interesting possibility with the system is how it can expedite needle insertion in procedures where multiple needles are required, De Baère explained. ‘Tumour ablation in the kidney can be complex and time consuming if we have to stick many needles,’ he said. ‘With the robot, insertion of one additional needle was below one minute in most of our patients, and below two minutes for the rest. Once we decide our trajectory, we can go faster with the device.’

Low hanging fruits

There are several areas where the system could help advance interventional radiology, he went on. ‘The robot increases the degree of freedom for needle insertion in any plane. This could offer more stable guidance and accuracy at the time of placing the needle tip at the centre of the target,’ he said. 

A second benefit concerns dose reduction. ‘As interventional radiologists we get a lot of radiation when we are working and dose matters to both patients and physicians,’ he said. ‘With a robot, it’s obvious that you can decrease radiation to physicians because they are no longer inside the room.’ 

One more thing De Baère hopes to achieve with the robot is more homogeneity in axial and oblique plane needle insertion. ‘In oblique plane puncture, you don’t see the whole plane during the entire needle placement,’ he said. ‘With the robot, there should be no variation, as it gives you angle free trajectory, offering a new way to approach the tumour.’ 

Last but not least, there is a short learning curve for the system and beginners can start working very fast with the equipment. ‘Everybody can do the same. For a beginner it’s great,’ said De Baère, who compared the performance of three experts with ten years’ experience with that of a novice without prior experience in sticking needles. ‘In just a few days, the beginner was doing as good as we have done for the past 20 years,’ he said. 

Another significant benefit with the robot is its respiratory monitoring function. ‘It’s better to work under apnea, because the target is moving with the breathing, so you need to monitor that. If you cannot reproduce your breath hold, you might get the wrong target,’ he said. 

Future development will need to take into account footprint, comparison of set-up time vs. manual adjustment.

What is going to happen to our society as AI and robots take most of our jobs?


If you haven’t lost your job yet, you should be very thankful.  Artificial intelligence and robots are taking more of our jobs with each passing day, and there will be no end to this high tech invasion.  Eventually we could get to a point where AI and robots can do virtually everything far more efficiently and far more inexpensively than humans can.  So what will happen to the vast majority of the human population when their labor is no longer needed?  Will a way be found to quietly deal with “useless eaters” that are considered to be “just taking up space”?  For years we have been warned that AI and robots would revolutionize the workforce, and now that day has officially arrived.

(Article by Michael republished from TheEconomicCollapseBlog.com)

For example, Amazon has been using various types of simple robots to perform certain tasks for years, and now highly sophisticated humanoid robots are being deployed right alongside normal human workers…

Amazon recently began testing a new robot in its warehouse operations — meet Digit, a humanoid bipedal robot with a turquoise torso and smiley eyes.

Designed by Agility Robotics, which Amazon has invested in as part of its Industrial Innovation Fund, Digit is only the latest of a string of warehouse robots the company has introduced over the last several years. However, most of the other warehouse robots have been cart-shaped or robotic arms, not humanoid like Digit.

Digit costs about $10 to $12 an hour to operate right now, based on its price and lifespan, but the company predicts that cost to drop to $2 to $3 an hour plus overhead software costs as production ramps up, Agility Robotics CEO Damion Shelton told Bloomberg.

How are we supposed to compete with that?

No human worker is going to work for “$2 to $3 an hour”.

Plus, robots don’t need breaks, they don’t get sick, they don’t complain and they don’t steal from the company.

So this trend is only going to accelerate during the years ahead.

Even now, there is a McDonald’s restaurant <a href="https://robots.news/that is almost entirely run by robots…

You may be thinking that robots won’t be taking your job any time soon because you have a white collar job that requires a high level of intelligence.

Well, if you are a white collar worker there is a good chance that your current job will one day be made “obsolete” by artificial intelligence.

In fact, Goldman Sachs is projecting that AI could take as many as 300 million full-time jobs during the years ahead, and most of them will be white collar jobs…

As many as 300 million full-time jobs around the world could be automated in some way by the newest wave of artificial intelligence that has spawned platforms like ChatGPT, according to Goldman Sachs economists.

They predicted in a report Sunday that 18% of work globally could be computerized, with the effects felt more deeply in advanced economies than emerging markets.

That’s partly because white-collar workers are seen to be more at risk than manual laborers. Administrative workers and lawyers are expected to be most affected, the economists said, compared to the “little effect” seen on physically demanding or outdoor occupations, such as construction and repair work.

So how are you going to make a living when AI and robots do almost everything better and cheaper than you can?

Vast number of jobs will be lost during the years ahead.

Why Personal Robots Are the Sci-Fi Pipe Dream We Just Can’t Quit


ST QUENTIN, FRANCE - NOVEMBER 25:  Honda Motors demonstrates its ASIMO robot during the 'Robonumeriq...

Sci-fi tropes find their way into tech all the time.

There are holograms (looking at you, Humane), personal AI assistants (not HAL, thank God), flying cars (sort of), creepy AI, and the list goes on.

But if there’s one trope that has really endured, both in the world of sci-fi and consumer tech, it’s robots — especially the domestic kind. Robots that do your chores; robots that drive you to work; robots that watch your kids and then try to murder your family. You know what I’m talking about. You’ve heard this story before.

Clearly, in the back of lots of inventors and big tech companies’ minds — Amazon, Tesla, and Ford to name a few — it all comes back to robots, too. That’s why, with the help of their expertise and unparalleled capital, we now live in a world where there’s a robot in every home so that you never have to do another chore ever again — wait a second…

Robot Versus Reality

Sorry if I spoiled it for you, but as you may or may not have noticed, we do not live in the proffered sci-fi utopia (or dystopia for that matter) where at-home robots are picking up our trash or our clothes or even existing physically in time and space as we hoped they would.

And as much as I’d love to say, “Well, the technology just isn’t there,” our dearth of at-home robots isn’t for lack of effort. Big tech companies have taken plenty of stabs at this point. I’m talking big, big tech, too — like Jeff Bezos big.

Amazon astro robot
Amazon’s Astro never really made it to market despite being a highlight of the company’s annual hardware dump.Amazon

Remember Astro? Yeah, me either — or barely at least. As a refresher, Astro was announced in 2021 as part of Amazon’s giant gadget fiesta and was billed as a do-it-all at-home robot that could bring you drinks, tell you the weather, show you security cam footage, even emote at you, which is either cute or creepy depending on your level of trust with Amazon’s technology.

It was (like lots of current robo-butler offerings) a smart home hub on wheels with a nice little digital face for emoting. A cute, practical companion ready to be two-day delivered straight to your doorstep.

In theory, Asto could be useful, I guess. But Astro, however cute and eager to help, has found itself buried in the sands of time and the perennial deluge of Alexa-imbued products. Another L for home robots — and Amazon isn’t alone.

Samsung’s Ballie is presumably getting layoff drunk at the robo-bar with Astro as we speak. For the uninitiated, Ballie was an aptly named little sphere that Samsung designed to fill a similar purpose, though with a bit more companionship in mind. Some people want a little Shih Tzu afoot, nipping at their heels and begging for bacon scraps. Samsung thought other people wanted a grapefruit-sized robot ball.

As far as I know, the big difference here is that people are still buying Shih Tzus.

Samsung ballie
Not even cuteness could save Samsung’s Ballie.Samsung

And the list goes on: Astro, Ballie, Asimo, Aibo, this toilet paper-delivering robot from Charmin. You get the point. And somehow, despite a growing mass grave for felled or under-achieving at-home robots, big tech is still trying. Tesla is possibly the highest-profile example of the next big home robot push.

Optimus, as its robot is called, is less cute than its counterparts, to be sure, but probably a more perfect encapsulation of the sci-fi pipe dream. It’s a humanoid robot that stands on two legs which Telsa says could have applications in fields like home care. The results so far appear more like a toddler-like Terminator that, as far as we know, can barely walk, let alone make me a hearty soup from scratch.

While we don’t have an end to Optimus’ story just yet (this big-boy bot is still very much a work in progress), I think — if history is any indicator — that the story kind of writes itself.

I sound cynical, I know. And if you were expecting me to follow up that statement with a caveat, well, you’d have a better chance of walking into your local Walmart and picking up a robot to do your chores that isn’t a vacuum. Try it; I dare you.

Don’t get me wrong, I love the theoretical magic of robot butlers just as much as the next millennial who grew up watching Jetsons re-runs, but there’s a fatal flaw in the grand design of all this future-forward posturing. Look around your room, the answer could likely be staring you right in your robot-less face.

Too Much Tech

It’s easy to forget that we have so much tech in our homes nowadays. I’m an outlier, of course, as someone who eats and breathes this stuff, but even the average person is filled to the gills with gadgets compared to 30 years ago.

Take my mother and father’s house, for example. There’s a smart thermostat, several Alexa-equipped Echo smart speakers, smart blinds, smart TVs, smart lights, and even a smart home hub for keeping track of all that Internet of Things (IoT) excess I just listed.

BEIJING, CHINA - SEPTEMBER 02: Tesla's Optimus humanoid robot is on display during the 2023 China In...
Tesla’s Optimus does make a decent showroom fixture, I’ll give it that.VCG/Visual China Group/Getty Images

This is all real, practical stuff that exists on the cheap, inside homes across the world. And while it’s sometimes too much, it actually all makes sense. Voice assistants aren’t perfect by any means, but I’ve been shouting at a piece of plastic to turn my lights on and off for a while now, and I don’t intend to go back to the old days.

My point is that we kind of have robots already; the only difference is that they don’t have legs or wheels. Instead, they’re omnipresent in the way that a robot should be without taking up space in your physical world. Sure, they can’t grab you a beer from the fridge, but even if they could, is that really the future worth pouring billions of dollars of R&D into?

I don’t wanna completely rain on the robot parade either. Robots are still hugely important for manufacturing and could have really exciting applications in things like search and rescue or other dangerous jobs (famously, they are pretty decent at diffusing bombs). But with the advancement of AI and IoT technology being what it is, it’s worth questioning whether at-home robots are really as integral to living in the tech-filled utopia we envisioned for ourselves.

And the thing here is… I want to be wrong. I want a robot to deliver my toilet paper, or one to make my dinner; I want to free myself from the scourge of folding my own laundry or chopping my own vegetables. But I’ve seen enough CES to wear my cynic hat comfortably.

And isn’t the robot pipe dream bittersweet in a way? I’ll still be captivated each time a company like LG, for example, makes the annual obligatory run at filling our homes with robots, and I might even cheer the prospect on (quietly, in my own way). But, in my opinion, the only thing better than having a robot is knowing that you don’t even need one at all.

Researchers turn to tiny robots to fight antibiotic resistance


Antimicrobial resistance remains an urgent problem, yet new drugs are devilishly hard to find, develop, and test. And even successful breakthroughs are only a temporary fix. “Bacteria have developed resistance to all traditional antibiotics,” says microbiologist Ana Santos at Rice University in Houston, TX, and at Fundación Instituto de Investigación Sanitaria Islas Baleares in Palma, Spain. “We need to try something completely different that they don’t already know from history and haven’t been exposed to throughout their evolution.”

Nanomachines could some day offer a novel approach for treating dangerous infections from MRSA, shown here in a digitally colorized, scanning electron microscopic image in which orange-colored cellular debris surround the mustard-colored spherical bacteria. Image credit: National Institute of Allergy and Infectious Diseases.

Santos has been collaborating at Rice with chemist James Tour on such a prospect. Rather than searching for new antimicrobial compounds, their group uses what might best be described as a brute-force approach. The researchers have recently been designing tiny, spinning molecular machines, which travel to the site of an infection and drill holes in infectious pathogens, tearing the tough outer membranes apart. Without the outer membrane, the vulnerable innards spill out, and the cell dies. In lab tests, the molecular machines can puncture a wide variety of pathogens, acting as a sort of synthetic antibiotic that can even effectively kill bacterial populations resistant to antibiotics and persisters, a subpopulation of cells thought to promote resistance (1).

Such collaborative approaches between microbiologists and chemists offer a fundamentally new way to fight disease. Where antibiotics take a biological approach, nanomachines offer a decidedly mechanical one. “It’s really taking a tool from the chemistry realm and applying it to biology,” Santos says. Recent experiments by Santos and Tour—and other groups—have tested nanomachines against cell lines and in animal models of antimicrobial-resistant infections. Early findings have been promising, hinting at a range of biomedical applications. Whether they can be successfully translated into real-world, clinical settings, however, remains to be seen.

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Light-activated molecular machines (schematic of two variants; Right) drill into and destroy antibiotic-resistant bacteria. Experiments with E. coli (Left; transmission electron microscope image) suggest that the bacteria degrade after exposure to light-activated molecular drills. Image credits: (Left) Matthew Meyer (Rice University, Houston, TX). (Right) Tour Research Group (Rice University).

Small Solutions to a Big Problem

Nanomachines, or artificial molecular motors, refer to synthesized devices that typically measure less than a micrometer in size and can be controlled to complete a task. Over the last decade or so, researchers have designed minuscule contraptions that incorporate rotors, shuttles, muscle-like components, and other moving parts (24). Pioneering chemists and engineers have even synthesized tiny cars, elevators, and pumps made from a cluster of atoms. Some, including nanomachines developed by Tour at Rice, are powered by light; others get energy from chemical reactions or electrical energy. In 2005, Tour led the design of the world’s first vehicle at the nanoscale, a two-wheeled miniature marvel made from a single molecule. It was a little wider than a molecule of DNA. Its spinning wheels were made from buckyballs—60 atoms of pure carbon tightly arranged to make a hollow ball—and organic groups made up its chassis and axle (5). In 2006, Tour modified the nano vehicle to incorporate a motor based on a design by organic chemist Ben Feringa. Molecular machines even earned Feringa and others the 2016 Nobel Prize in Chemistry. But thus far, these mini bots have been a promising technology without an obvious application. Some think antibiotic resistance might fit the bill.

Already, Tour and many others have started exploring their use in medical applications. In 2017, he and his colleagues manipulated the machines to attach to living cells and, when activated by ultraviolet (UV) light, burrow into the thick lipid bilayer on the outside of the membrane (6). In lab experiments, the molecular machines effectively killed cancer cells in a way completely unlike available therapies.

“It’s a whole new domain in treatment,” Tour says. Using molecular machines, he says, is like conducting surgery with a scalpel at the cellular level: “This is a new modality where you have a mechanical action at the nanometer scale.” It’s hard to imagine how a cancer cell could develop defenses. “Can a tumor build resistance to a scalpel?” Tour asks.

That 2017 proof-of-concept caught the attention of Santos, whose work focused on antibiotic resistance. “I thought, this is amazing; this is something that could work for pathogens,” she says. “These were mechanical drilling mechanisms that do not exist in nature.”

It was an important first step, but there was a hurdle: Tour had activated the machines with high-energy UV light that, in living systems, could damage surrounding healthy tissue. And it would be difficult to get a UV light source into the body with the machine. But when Santos contacted Tour to learn more, she learned that he was working on a less destructive energy source—visible light. Tour suspected that by adjusting the makeup of the machines, such as by adding nitrogen atoms, they could create devices that could harvest enough energy from the visible spectrum to kill cells.

Santos, a microbiologist, had spent years investigating the biological damage that UV radiation inflicted on bacteria, especially pathogenic strains resistant to antibiotics. So when she heard Tour’s plans for modifying the machines, she immediately saw a way to combine their interests. Maybe, she thought, the cell-destroying machines could be harnessed against bacteria.

Bacteria vs. Machines

The two spent the next year unpacking the complexities of pathogenic cells. “Ana was constantly teaching me how rapidly they reproduce, change, and share DNA with each other,” he says. “They’re really sophisticated little things.” The researchers modified his original designs and began running calculations of how much energy they’d need to bore through bacterial membranes. “We had to modify the design of the molecule extensively, and then try to understand why this thing was working,” Tour says.

Tour came to realize just how big a challenge was posed by bacterial cells, compared to other cells he’d tested in the past. “We were blissfully unaware of how tough the cell wall really is,” he says.

Finally, by 2021, they had settled on a range of nanomachine designs that, because of the added nitrogen, could likely spin fast enough to bore into cells when activated by visible light. This new generation of machines runs on light at 405 nanometers, the violet-blue end of the visible spectrum. And in their latest report, published in Science Advances last June (7), the group described what happened when they set molecular machines on a variety of Gram-positive and Gram-negative bacteria. Gram-negative bacteria have thin cell walls surrounded by a thick membrane, whereas Gram-positive bacteria have a thick cell wall and no outer membrane. The test subjects included strains of Gram-negative Escherichia coli and Acinetobacter baumannii, as well as methicillin-resistant Staphylococcus aureus (MRSA), Gram-positive bacteria that live on the skin and can cause staph infections.

“We’ve combined principles from nanotechnology with antimicrobial design.”

— Cesar de la Fuente-Nunez

The experiment began with 19 molecular machine configurations that differed based on where the researchers had spliced in molecular groups (amines, for example, brought nitrogen atoms). Some had additional groups in the rotors; others had them in the “body” of the machine. The researchers suspected that the additional groups would help the machines harvest energy from visible light. But they needed experiments to determine where exactly to add those groups.

After testing the designs on E. coli cultures, the researchers winnowed the field down to six. (They found, for example, that slower-spinning machines didn’t burrow as deeply into the bacterial membrane and, hence, were less likely to inhibit the growth of E. coli.) In the expanded tests on multiple strains, the best-performing molecular machines killed the bacterial cells in as little as 2 minutes.

When the researchers investigated the action using RNA sequencing and advanced microscopy, they found that the successful machines had disrupted the bacterial membrane enough for material within the cell to flow out. In a follow-up experiment, they found that the puncture wound made by less powerful machines could still be useful: When they combined common antibiotics with these molecular machines, they were able to kill even stubbornly resistant strains in a matter of minutes. They also found that the molecular machines successfully eliminated the persister cells that are thought to help bacteria gain resistance.

Even after repeated exposures, the treated cell lines didn’t show any signs of developing resistance to the synthetic antibiotic, Santos says. Resistance occurs when resistant genes evolve or bacteria acquire them from other bacteria. Santos doesn’t foresee new genes stopping a mechanical, molecular drill that’s spinning at millions of times per second.

Already, they’ve tested the approach on wax moth larvae, whose similarities with the mammalian immune system make them a common model for infectious disease. The researchers inflicted the larvae with burn wounds and infected them with one of the two bacterial pathogens, A. baumannii and S. aureus. All untreated larvae died within a week of treatment, whereas treatment with nanomachines extended survival beyond a week for 25–60 percent of the animals.

Indeed, a better therapy for MRSA could be a boon for the treatment of burn victims. About three-quarters of all deaths from patients with severe burns arise from systemic bacterial infections that begin in the wound as MRSA or some other infection; some studies estimate that half of all burn victims in hospital intensive care units will have an MRSA infection (8). Because burn wounds are on the skin, Santos says, molecular machines would have plenty of visible light available.

But Tour envisions going deeper. “Right below the surface of the skin is easily accessible with visible light. Or the oral cavity, colon, and rectum,” he says. “There are lots of areas where you can easily get light without having to pierce the body.”

A Challenging Domain

Tour and Santos are not the only ones who see promise in treating resistant infections with molecular machines. At the February 2022 American Association for the Advancement of Science meeting, the winning entry for a student e-poster competition described lab experiments that tested various concentrations of fast-spinning molecular machines—like the ones developed in Tour’s lab—on large viruses and at varying durations of exposure to visible light (9). The best-performing concentration reduced the viral viability by 97%, and the research suggests that molecular motors could one day target viruses as well as bacteria (9).

A strength of these approaches could be their precision, according to recent work. Antibiotics are usually administered to an entire system, hence speeding up the selective pressures that spur drug resistance. Excessive use further increases the chances of resistance. A nanomachine approach would sidestep the pitfalls of antibiotic overuse, says microbiologist Cesar de la Fuente-Nunez at the University of Pennsylvania, in Philadelphia. “It can move through the wound and deliver the therapeutics directly to the infection site,” de la Fuente says. Together with chemist Samuel Sánchez at the Institute for Bioengineering of Catalonia in Barcelona, Spain, de la Fuente is using nanomachines as a kind of precision shuttle, but for infected wounds. “We’ve combined principles from nanotechnology with antimicrobial design,” he says. They’ve shown that nanomachines can carry an antibiotic payload directly to a pathogen known to be vulnerable (10).

Their silica-based machines can carry a payload of a potent antibiotic derived from wasp venom. The machine gets energy from an enzymatic reaction involving urease, which is laid out in a liquid trail by the researchers. It follows this trail to the infection site. (In practice, such a trail might lead the machine across the skin and to an infected wound.) The machines included hollow silica balls, filled with the antibiotic, which were capable of self-propulsion driven by the activity of urease. The researchers tested their designs on mice with skin abscesses infected with A. baumannii and found that the tiny machines could reduce the bacterial load.

While the technology naturally lends itself to skin infections, de la Fuente notes that recent results suggest a nanomachine could, in principle, deliver other kinds of payload—even chemotherapy or immunotherapy, for example. Thus far, however, progress has been limited to tests on cell lines and animal models.

To pave a path to practical applications beyond skin, researchers will have to ensure, among other things, that the machines have an accurate targeting mechanism that allows them to move deeper into the body without harming living tissue. If they were to be used, say, for preventing cancer deaths—the vast majority of which arise from metastases or cancer cells in the body—researchers would need to both train the devices to recognize cancer cells and develop a power source that could safely function in the bloodstream. The goal, whether for cancer or infections or other applications, de la Fuente says, would be to create something that could be easily ingested, readily digested, and safely cleared after it did its job.

Tour is now testing the limits of molecular machines powered by infrared light, which has less energy than visible light, but may be easier to transmit. He’s also investigating whether molecular machines might be used to kill fat cells—an application that, he says, would be “big business.” In de la Fuente’s lab, they’re looking for ways to load other small molecules on their tiny devices. He also has his sights set on a model of treating systemic sepsis; the idea is that the molecular machines would carry powerful antibiotics to the infection that set off the reaction. Santos wants to expand testing to pathogenic fungi and even parasites like the ones that cause malaria. But she remains intensely focused on antibiotic resistance. Pathogen-drilling molecular machines may still be years from clinical utility, she acknowledges, but conventional approaches are faltering. Says Santos, “We really do need to think outside the box.”

AI in Health Care: No, the Robots Are Not Taking Over


It’s common for many people to fear the unknown, and exactly how artificial intelligence might transform the health care and medical experience is no exception. 
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No, Robots Are Not Taking Over

People might be afraid, for example, that AI will remove all human interaction from health care in the future. Not true, say the experts. Doctors and other health care workers might fear the technology will replace their clinical judgment and experience. Also not true, experts say. 

The AI robots are not taking over. 

AI and machine learning remain technologies that add to human know-how. For example, AI can help track a patient over time better than a health care professional relying on memory alone, can speed up image analysis, and is very good at prediction.

But AI will never replace human intuition in medicine, experts say.

“AI is unemotional. It’s fast and very, very smart, but it does not have intuition,” says Naheed Kurji, board chair of the Alliance for Artificial Intelligence in Healthcare and CEO of Cyclica Inc. 

Machine learning, a form of artificial intelligence where a computer learns over time as it gets more and more data, could sound threatening to a person who might not fully understand the technology. That’s why education and greater awareness are essential to ease any concerns about this growing technology. 

“You need to have an understanding of human behavior and how to help people overcome their inherent fears of something new,” Kurji says. 

All this new science needs to be explained to the public, and machine learning is certainly one that deserves explanation,” says Angeli Moeller, PhD, head of data and integrations generating insights at Roche in Berlin, and board vice chair for the Alliance for Artificial Intelligence in Healthcare. 

“It’s useful to ground it in examples that the general population is familiar with and with technology that has grown,” she says. “On our smartphones, we benefit from a significant amount of machine learning – even if you just look at your Google search or your satellite navigation system.”

Moeller says it’s helpful to think of AI as an assistant to a doctor, nurse, a caregiver, or even a patient trying to understand more about a medical diagnosis, treatment plan, or prognosis. 

Also, with big data comes big responsibility. “Health care industry accountability is important,” she says. 

With than in mind, the Alliance for Artificial Intelligence in Healthcare was created in 2019 as a forum for industry players – drug companies, biotechnology firms, and database entities – to convene and address important AI questions. The group seeks to answer some fundamental questions, including: How do we ensure that we have ethical and appropriate use of artificial intelligence in health care? How do we make sure that that innovation gets to the patient as quickly as possible? 

“If you think about your personal life, a decade ago, your car didn’t have autopilot modes where it drove itself,” says Sastry Chilukuri, co-CEO of Medidata and founder and president of Acorn AI. “You didn’t really have an iPhone – which is like a computer in your hand – much less like have an Apple Watch – which is like another minicomputer on your wrist pumping out all kinds of data.”

“Our world has dramatically changed over just like the last 15 years,” he says. “It’s very interesting, I think. It’s a good time to be alive.”

Tiny Robots Could Someday Brush, Floss Your Teeth for You


Your twice-daily brushing and flossing routine could someday be automated using tiny microrobots that scrub your teeth for a customized clean, thanks to new research from the University of Pennsylvania.

Scientists used magnetic fields to assemble nanoparticles into tiny, brush-like robotic structures that precisely remove biofilms, a network of germs and other sticky substances, from the surfaces of teeth. They describe their results in a paper published in the journal ACS Nano.

The microrobots feature bristles that can extend, retract, change shape, and move horizontally, vertically, and in circles. The bristles can adapt to each person’s tooth alignment and get into hard-to-reach spaces.

“It could be perfectly aligned teeth or misaligned teeth,” says study author Hyun (Michel) Koo, DDS, founding director at the Center for Innovation & Precision Dentistry at the University of Pennsylvania. “It will work in either case because they can adapt to different surfaces, different nooks and crannies.”
While they scrub your teeth, these bristles can also help to kill germs. That’s because they’re made from “iron oxide nanoparticles,” which can activate hydrogen peroxide to help kill bacteria and degrade biofilms. Another benefit: These nanoparticles are cheaper and more plentiful than many materials used in nanotechnology, like gold and platinum.

“It’s such a basic material,” says study author Edward Steager, PhD, a research investigator at Penn Engineering. “It’s not even a necessarily fancy material.”

When Will Tiny Teeth-Brushing Robots Be Available to You?

The team is packaging the technology into a consumer-friendly prototype, which they hope to have ready within a year. But they will likely need a few more years of testing before the robots are ready for commercial use. Slideshow

Once fully developed, this technology could be a game changer for people with disabilities, older populations, or anyone who lacks the manual ability to take good care of their oral health, says Koo. These populations will likely be the first to try out the device, then others will follow.

“We started with persons with disabilities or an older geriatric population, but I think at the end of the day, we want this to become available for everyone,” says Koo.

This innovation could change the whole oral care industry, he notes.

“The whole technology of dental plaque control has not been disrupted for, say, centuries,” Koo says. “I mean, essentially, you have a bristle-on-a-stick concept, which has been used since early millennia, you know, and it’s not very effective, right? To the point that you have to actually floss and rinse to make sure that you have effective plaque control. We want to disrupt that. We want to have something that is user-friendly, plug and play.”

Dental floss has been around for a couple hundred years, but only about a third of Americans floss daily, according to the CDC. Any plaque left behind after brushing and flossing puts your mouth at risk.

“Dental plaque is the source of a number of oral diseases, from tooth decay to gum diseases,” says Koo.

With a precise, effective way to control oral disease, we can protect our overall health, he says. Indeed: Gum disease is linked to heart disease and diabetes.

“Bacteria found in the oral cavity are associated with Alzheimer’s,” Koo says. “So there’s a lot of connection between oral and general health.”

Robot uses electric charge to extract scorpion venom


scorpion venom extraction robot

The innovative scorpion-venom-extracting robot patented by Moroccan researchers. Scorpion venom, also known as golden liquid, is considered one of the most expensive venoms in the world, a gramme is worth US$ 8,000.

Speed read

  • Moroccan researchers patent robot capable of extracting scorpion poison
  • Scorpions receive a ‘harmless’ electric charge, causing them to release venom
  • Research team say investment is needed to develop it commercially

Developers of the ‘VES4’ robot from Hassan II University, Casablanca, say the innovation enables the quick and safe extraction of the poison which scientists have harnessed for new medicines to fight diseases such as malaria and cancer.

Thirty-five scorpions can be placed at one time inside the robot, which is programmed to apply an electric charge causing each of them to release one drop of the white venom, explained Omar Tannan, a member of the research team.

He stressed that the small charge does not do them any harm.

The venom drops are collected in a glass tube, said Tannan, adding: “The antenna and vibratory system operating the robot facilitates the recovery of venom beads collected in the pipes, ensuring a totally automated process.”

“Promoting this innovation will allow transferring research results to the production sector, opening doors for funding opportunities”

Anass Kettani, dissertation supervisor

The team developed the robot as part of a PhD dissertation by researcher Mo’az Mokammel five years ago. They wanted to come up with a lightweight device that could be used in or outside the laboratory and on all kinds of scorpions.

Hairy desert scorpion

A hairy desert scorpion. Moroccan researchers use a robot that extracts it’s venom without human intervention, eliminating the danger of manual extraction.

As well as making the extraction process safer, they said it will make the process much more efficient. Extracting one gallon of venom using the traditional method would normally need about 2.64 million scorpions.

Known as the golden liquid, scorpion venom is considered one of the most expensive venoms in the world, with one gramme worth US$ 8,000. Its components have a number of therapeutic applications, such as the production of antitoxins and treatments for malaria and cancer.

The team have also released a guide to scorpions in Morocco, which maps out where they can be found and classifies them by degree of toxicity.

Anass Kettani, the dissertation supervisor, said: “Promoting this innovation will allow transferring research results to the production sector, opening doors for funding opportunities”.

The patented robot can now be manufactured, he added, but will need some improvement and investment to take it from lab to market.

Tannan stressed that the machine is only a prototype and will need adjustments at production stage.

The research team have not crunched the numbers, but Abdelhaq Omani, intellectual property and valorisation director at the Moroccan Foundation for Advanced Science, Innovation and Research, said: “It wouldn’t need a high cost.”

He points out that using the robot requires knowledge of how to deal with scorpions, as well as mastering the process of placing scorpions inside the robot, but otherwise the process is entirely automated.

The robot is unique, says Omani, in the way it can adjust the amount of electric charge needed, without affecting the scorpion or leading to its death.

Scientists to use robots to look inside the hidden, never-before-seen chamber in the Great Pyramid


With the help of small robots, scientists will try to decipher what secrets are hidden inside the cavities recently discovered in the Great Pyramid of Giza. This exploration process will also see scientists irremediably damage a fraction of the Great Pyramid of Giza.

Are we on the edge of one of the most important archaeological finds of the century?

Many researchers are convinced we are about to make an unprecedented discovery inside the Pyramid, one that may shed light on the real reason the great Pyramids was built in the first place.

This is the ‘Great Void’ inside the Great Pyramid which may hide a mystery throne made of Alien material.

Using muon detectors and thermal scanning, the ScanPyramid project reported the discovery of two previously unknown cavities within the Great Pyramid in November of 2017.

The largest cavity is at least 30 meters long and is located on the giant corridor (Grand Gallery) that extends to the king’s chamber. The smaller cavity, on the other hand, is located behind the north face of the pyramid and consists of a corridor whose length is uncertain.

Now, researchers plan to carry out more tests with muon detectors and are developing robots, miniature robots, that will have the ability to look inside the cavities by means of high-resolution cameras.

Currently little or nothing is known about the cavities inside the monument.

When the Pyramid was finished, this is what it may have looked like.

“There is a big difference in whether the shape of the major cavity is horizontal or has an inclination,” said Mehdi Tayoubi, president, and co-founder of the Institute for the Preservation and Innovation of Cultural Heritage, one of the institutions involved in the ScanPyramid project.

“If the cavity is tilted, for example, it could be a corridor similar to the Grand Gallery. But if it is horizontal, then we would be faced with the presence of one or more cameras never explored before.“

“In addition, the smallest cavity, which is presumed to be a passageway, may have been connected to a larger cavity in ancient times,” he added.

 

As the new tests with muon detectors begin, another team led by Jean-Baptiste Mouret, a researcher at the French National Institute for Applied Mathematics and Computer Science, will build two robots that will perform an “invasive exploration” of the alleged secret chambers.

According to Mouret, his team will make a small perforation of 3.8 centimeters in circumference to break through and insert the robots into the cavities.

“First we will make a reconnaissance, for this we will send a robot in the form of a tube with a panoramic sweeping camera and lights. The objective is to probe what is on the other side of the wall and obtain high-resolution images.”

“If there is something promising on the other side, then we will extract the recognition robot and insert the explorer robot. For this last ingenuity, we are designing an inflatable airship that is compressed during insertion and inflated remotely once inside the chamber, “explains the French researcher.

“The airship will allow the robot to fly and take pictures more quickly and efficiently, without the need to move on the ground.”

Before the robots begin their work, scientists must gather more data on the dimensions and location of the chambers something that could take more than a year—in order to know where to drill the access hole.

Likewise, the Ministry of Antiquities must give final approval to begin the task that will irremediably damage a tiny fraction of the Great Pyramid.

“We are working hard on the design of the robot to generate as little damage as possible.

We hope to be able to convince the Ministry of Antiquities that this is the right technology for the next step. Meanwhile, we will use the time to test our robots in other places,” concludes Mouret.