The Microbots Are on Their Way

A microbot alongside a paramecium. Researchers envision using the tiny crawlers to measure signals in the brain. | Credit Marc Miskin, University of Pennsylvania and Cornell University
A microbot alongside a paramecium. Researchers envision using the tiny crawlers to measure signals in the brain. | Credit Marc Miskin, University of Pennsylvania and Cornell University
TT

The Microbots Are on Their Way

A microbot alongside a paramecium. Researchers envision using the tiny crawlers to measure signals in the brain. | Credit Marc Miskin, University of Pennsylvania and Cornell University
A microbot alongside a paramecium. Researchers envision using the tiny crawlers to measure signals in the brain. | Credit Marc Miskin, University of Pennsylvania and Cornell University

Like Frankenstein, Marc Miskin’s robots initially lie motionless. Then their limbs jerk to life.

But these robots are the size of a speck of dust. Thousands fit side-by-side on a single silicon wafer similar to those used for computer chips, and, like Frankenstein coming to life, they pull themselves free and start crawling.

“We can take your favorite piece of silicon electronics, put legs on it and then build a million of them,” said Dr. Miskin, a professor of electrical and systems engineering at the University of Pennsylvania. “That's the vision.”

He imagines a wealth of uses for these microbots, which are about the size of a cell. They could crawl into cellphone batteries and clean and rejuvenate them. They might be a boon to neural scientists, burrowing into the brain to measure nerve signals. Millions of them in a petri dish could be used to test ideas in networking and communications.

The research, presented at a meeting of the American Physical Society in Boston in March, is the latest step in the vision that physicist Richard Feynman laid out in 1959 in a lecture, “There’s Plenty of Room at the Bottom,” about how information could be packed into atomic-scale structures and molecular machines could transform technology.

Over the past 50 years, Feynman’s predictions about information storage have largely come to fruition. “But the second goal — the miniaturization of machines — we’re really just getting started,” Dr. Miskin said.

The new robots take advantage of the same basic technology as computer chips. “What we’re doing is stealing from 60 years of silicon,” said Paul McEuen, a physicist at Cornell University. “It’s no big deal to make a silicon chip 100 microns on a side. What didn’t exist is basically the exoskeleton for the robot arms, the actuators.”

While working in the laboratories of Dr. McEuen and Itai Cohen, another Cornell physicist, Dr. Miskin developed a technique to put layers of platinum and titanium on a silicon wafer. When an electrical voltage is applied, the platinum contracts while the titanium remains rigid, and the flat surface bends. The bending became the motor that moves the limbs of the robots, each about a hundred atoms thick.

The idea is not new. Researchers like Kris Pister of the University of California, Berkeley, have for decades talked of “smart dust,” minuscule sensors that could report on conditions in the environment. But in developing practical versions, the smart dust became larger, more like smart gravel, in order to fit in batteries.

Dr. Miskin worked around the power conundrum by leaving out the batteries. Instead, he powers the robots by shining lasers on tiny solar panels on their backs.

“I think it’s really cool,” Dr. Pister said of the work by Dr. Miskin, Dr. McEuen and their collaborators. “They made a super-small robot you can control by shining light on it and that could have all sorts of interesting applications.”

Because the robots are made using conventional silicon technology, incorporating sensors to measure temperature or electrical pulses should be straightforward.

Dr. Miskin said his electrical engineering colleagues are often incredulous when they find out that the robots run on a fraction of a volt and consume only 10 billionths of a watt: “‘You mean you can take my thing and put legs on it?’ ‘Yeah, absolutely.' ‘And then you can have it piloted and compute and do all this other stuff?’ People get really excited.”

Challenges remain. For robots injected into the brain, lasers would not work as the power source. (Dr. Miskin said magnetic fields might be an alternative.) He wants to make other robots swim rather than crawl. (For tiny machines, swimming can be arduous as water becomes viscous, like honey.).

Still, Dr. Miskin expects that he can demonstrate practical microbots within a few years.

“It really boils down to how much innovation do you have to do?” he said. “And what I love about this project is for a lot of the functional things, the answer is none. You take the parts that exist and you put them together.”

(The New York Times)



Major Publishers Sue Meta for Copyright Infringement Over AI Training

Cars drive past a sign of Meta, the new name for the company formerly known as Facebook, at its headquarters in Menlo Park, California, US, October 28, 2021. (Reuters)
Cars drive past a sign of Meta, the new name for the company formerly known as Facebook, at its headquarters in Menlo Park, California, US, October 28, 2021. (Reuters)
TT

Major Publishers Sue Meta for Copyright Infringement Over AI Training

Cars drive past a sign of Meta, the new name for the company formerly known as Facebook, at its headquarters in Menlo Park, California, US, October 28, 2021. (Reuters)
Cars drive past a sign of Meta, the new name for the company formerly known as Facebook, at its headquarters in Menlo Park, California, US, October 28, 2021. (Reuters)

Publishers Elsevier, Cengage, Hachette, Macmillan and McGraw Hill sued Meta Platforms in Manhattan federal court on Tuesday, alleging that the tech giant misused their books and journal articles to train its artificial intelligence model Llama.

The publishers, as well as author Scott Turow, alleged in the proposed class action complaint that Meta pirated millions of their works and used them without permission to train its large language models to respond to human prompts.

“AI is powering transformative innovations, ‌productivity and creativity ‌for individuals and companies, and courts have rightly ‌found ⁠that training AI ⁠on copyrighted material can qualify as fair use," a Meta spokesperson responded in a statement on Tuesday.

"We will fight this lawsuit aggressively.”

The publishers allege that Meta pirated works ranging from textbooks to scientific articles to novels including "The Fifth Season" by N.K. Jemisin and "The Wild Robot" by Peter Brown for its ⁠AI training.

They asked the court for ‌permission to represent a larger class ‌of copyright owners and an unspecified amount of monetary damages.

"Meta’s mass-scale ‌infringement isn’t public progress, and AI will never be properly ‌realized if tech companies prioritize pirate sites over scholarship and imagination," Maria Pallante, president of the Association of American Publishers, said in a statement.

The lawsuit opens a new front in the ongoing copyright ‌battle between creators and tech companies over AI training, in which dozens of authors, news outlets, ⁠visual ⁠artists and other plaintiffs have sued companies including Meta, OpenAI and Anthropic for infringement.

All of the pending cases will likely revolve around whether AI systems make fair use of copyrighted material by using it to create new, transformative content.

The first two judges to consider the matter issued diverging rulings last year.

Amazon- and Google-backed Anthropic was the first major AI company to settle one of the cases, agreeing last year to pay a group of authors $1.5 billion to resolve a class-action lawsuit that could have cost the company billions more in damages for alleged piracy.


Microsoft, Google and xAI to Give US Govt Early Access to AI Models for Security Checks

A Google logo is seen at a company research facility in Mountain View, California, US, May 13, 2025. (Reuters)
A Google logo is seen at a company research facility in Mountain View, California, US, May 13, 2025. (Reuters)
TT

Microsoft, Google and xAI to Give US Govt Early Access to AI Models for Security Checks

A Google logo is seen at a company research facility in Mountain View, California, US, May 13, 2025. (Reuters)
A Google logo is seen at a company research facility in Mountain View, California, US, May 13, 2025. (Reuters)

Microsoft, Google and Elon Musk’s xAI agreed to give the US government early access to new artificial intelligence models for national security testing, as US officials grow alarmed by the hacking capabilities of Anthropic’s newly unveiled Mythos.

The Center for AI Standards and Innovation at the Department of Commerce said on Tuesday that the agreement would allow it to evaluate the models before deployment and conduct research to assess their capabilities and security risks.

The agreement fulfills a pledge the Trump administration made in July 2025 to partner with technology companies to vet their AI models for “national security risks."

Microsoft will work with ‌US government scientists ‌to test AI systems “in ways that probe unexpected behaviors,” ‌the company ⁠said in a statement. ⁠Together they will develop shared datasets and workflows for testing the company’s models, the company said. Microsoft signed a similar agreement with the UK’s AI Security Institute, according to the statement.

Concern is growing in Washington over the national security risks posed by powerful AI systems. By securing early access to frontier models, US officials are aiming to identify threats ranging from cyberattacks to military misuse before the tools are widely deployed.

The development ⁠of advanced AI systems including Anthropic's Mythos has in recent weeks ‌created a stir globally, including among US officials ‌and corporate America, over their ability to supercharge hackers.

"Independent, rigorous measurement science is essential to understanding ‌frontier AI and its national security implications," CAISI Director Chris Fall said in ‌a statement.

The move builds on previous agreements with OpenAI and Anthropic, established in 2024 under the Biden administration when CAISI was known as the US Artificial Intelligence Safety Institute.

Under former President Joe Biden, the institute focused on developing AI tests, definitions and voluntary safety standards. It ‌was led by Biden tech adviser Elizabeth Kelly, who has since joined Anthropic, according to her LinkedIn profile.

CAISI, which serves ⁠as the government's ⁠main hub for AI model testing, said it had already completed more than 40 evaluations, including on cutting-edge models not yet available to the public.

Developers frequently hand over versions of their models with safety guardrails stripped back so the center can probe for national security risks, the agency said.

xAI did not immediately respond to a request for comment. Google declined to comment.

Last week, the Pentagon said it had reached agreements with seven AI companies to deploy their advanced capabilities on the Defense Department's classified networks as it seeks to broaden the range of AI providers working across the military.

The Pentagon announcement did not include Anthropic, which has been embroiled in a dispute with the Pentagon over guardrails on the military's use of its AI tools.


Samsung Electronics Appoints New TV Chief amid Mounting Competition

FILE PHOTO: The logo of Samsung Electronics is seen at the company's store in Seoul, South Korea, April 15, 2025.   REUTERS/Kim Hong-Ji/File Photo
FILE PHOTO: The logo of Samsung Electronics is seen at the company's store in Seoul, South Korea, April 15, 2025. REUTERS/Kim Hong-Ji/File Photo
TT

Samsung Electronics Appoints New TV Chief amid Mounting Competition

FILE PHOTO: The logo of Samsung Electronics is seen at the company's store in Seoul, South Korea, April 15, 2025.   REUTERS/Kim Hong-Ji/File Photo
FILE PHOTO: The logo of Samsung Electronics is seen at the company's store in Seoul, South Korea, April 15, 2025. REUTERS/Kim Hong-Ji/File Photo

Samsung Electronics, the world's No. 1 TV maker, has replaced its TV head for the first time in more than two years, as it faces mounting competition from Chinese rivals at home and abroad.

Samsung said in a statement on Monday that it has appointed Lee Won-jin, who was previously head of the Global Marketing Office, ⁠as the new ⁠head of its Visual Display Business, succeeding Yong Seok-woo, who will serve as an adviser.

Samsung usually carries out its annual management reshuffle around December, and the company did not disclose the ⁠reason for the replacement.

A Samsung Electronics official told Reuters the new leader is expected to bring a fresh perspective and the change needed for the TV business, which is facing intensifying market competition.

In March, China's TCL Electronics and Japan's Sony signed binding agreements for a strategic partnership in the home entertainment field, increasing pressure on rivals.

The ⁠Nikkei ⁠newspaper previously reported Samsung was considering discontinuing sales of home appliances and TVs in China within this year in the face of competition from Chinese companies that have undercut rivals.

Samsung said last month its TV profit declined in the first quarter because of stagnating demand and rising raw-material costs. Lee had previously worked at Google before moving to Samsung in 2014.