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Today’s robots perform safety checks at industrial plants, conduct quality control in manufacturing, and are even starting to keep hospital patients company.

But soon — perhaps very soon — these increasingly humanlike machines will handle more sophisticated tasks, freeing up people while raising complex questions about the roles of artificial intelligence that are gaining attention.

At a panel hosted by the American Association of Retired Persons at this week’s Consumer Electronics Show (CES), experts described the next five years as a period where robots transition primarily from industrial sites to service settings, helping to address a worsening health care labor crunch.

In today’s AI news, this year coding might go from one of the most sought-after skills on the job market to one that can be fully automated. Mark Zuckerberg said that Meta and some of the biggest companies in the tech industry are already working toward this on an episode of the Joe Rogan Experience on Friday.

In other advancements, NovaSky, a team of researchers based out of UC Berkeley’s Sky Computing Lab, released Sky-T1-32B-Preview, a reasoning model that’s competitive with an earlier version of OpenAI’s o1. “Remarkably, Sky-T1-32B-Preview was trained for less than $450,” the team wrote in a blog post, “demonstrating that it is possible to replicate high-level reasoning capabilities affordably and efficiently.”

And, no company has capitalized on the AI revolution more dramatically than Nvidia. The world’s leading high-performance GPU maker has used its ballooning fortunes to significantly increase investments in all sorts of startups but particularly in AI startups.

Meanwhile, Sir Keir Starmer has green-lit a plan to use the immigration system to recruit a new wave of AI experts and loosen up data mining regulations to help Britain lead the world in the new technology. The recruitment of thousands of new AI experts by the government and private sector is part of a 50-point plan to transform Britain with the new technology.

In videos, newly deployed at Lawrence Livermore National Laboratory, El Capitan — the National Nuclear Security Administration’s (NNSA) first exascale supercomputer, is setting new benchmarks in computing power. At 2.79 exaFLOPs of peak performance El Capitan’s unprecedented capabilities are already impacting scientific computing and making the previously unimaginable a reality.

The rapid evolution of artificial intelligence is transforming cybersecurity, offering unprecedented opportunities to defend against increasingly complex and automated threats. AI is no longer a support tool—it’s emerging as a central pillar of modern security strategies. From detecting anomalies and automating threat responses to augmenting security teams, AI is enabling defenders to act faster, scale their operations, and outpace attackers. However, as the technology advances, significant challenges remain, from adversarial AI to the cultural inertia of legacy systems.

Tomer Weingarten, CEO of SentinelOne, and Richard Stiennon, research analyst with IT-Harvest and author of Security Yearbook 2024, both highlight the potential—and limitations—of AI in cybersecurity. “It’s very early days for AI in security,” says Stiennon. “I have found 84 startups with various AI agents or which hope to deploy guardrails to protect companies from mishandling of data by users of AI. It’s way too early to say that any of them are having an impact on the ecosystem. That said, the future is clear. AI will be part of every cyber defense position.”

Weingarten echoes this sentiment, noting that AI’s role is rapidly expanding but far from mature. “AI is no longer just about supporting cybersecurity—it’s fundamentally changing how we secure systems, anticipate threats, and automate responses,” he explains.

We crafted our first rodent car from a plastic cereal container. After trial and error, my colleagues and I found that rats could learn to drive forward by grasping a small wire that acted like a gas pedal. Before long, they were steering with surprising precision to reach a Froot Loop treat.

As expected, rats housed in enriched environments – complete with toys, space and companions – learned to drive faster than those in standard cages. This finding supported the idea that complex environments enhance neuroplasticity: the brain’s ability to change across the lifespan in response to environmental demands.

After we published our research, the story of driving rats went viral in the media. The project continues in my lab with new, improved rat-operated vehicles, or ROVs, designed by robotics professor John McManus and his students. These upgraded electrical ROVs – featuring rat-proof wiring, indestructible tires and ergonomic driving levers – are akin to a rodent version of Tesla’s Cybertruck.

Might Artificial Intelligence be the ideal lab assistant? Stefan Harrer delves into the revolutionary role of generative AI in science. He reveals how AI agents are not just tools but transformative partners for scientists enabling them to achieve breakthroughs in biology and beyond, heralding a new era of scientific discovery and innovation. This inspiring talk highlights the potential for AI to redefine the boundaries of the scientific method and our understanding of life. Dr Stefan Harrer is the Director of AI for Science at CSIRO, Australia’s national science agency. He is on a mission to revolutionise scientific discovery by harnessing the power of AI agents. In senior leadership roles at IBM Research, he led groundbreaking work on AI-driven epilepsy management and developed the world’s first AI-powered wearable for seizure prediction. An inventor with 73 granted patents, a passionate advocate for ethical AI, and a mentor and advisor to startups and governments, Stefan inspires the next frontier of AI innovation and use. This talk was given at a TEDx event using the TED conference format but independently organized by a local community.

The latest AI News. Learn about LLMs, Gen AI and get ready for the rollout of AGI. Wes Roth covers the latest happenings in the world of OpenAI, Google, Anthropic, NVIDIA and Open Source AI.

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