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Researchers from the University of California, Santa Barbara (UCSB) designed a “material-like” collective of programmable micro-robots, which can behave like a fluid or bond together to create new solid structures. The technology could lead to the development of a new sub-field of robotics.

The UCSB scientists set out to design simple robots that could work together, like a colony of ants or other collective groups. The study, recently published in Science, describes micro-robotic units that can switch from a “fluidizing” state to a more “solid” shape based on the rotational state of the robots.

The idea is ripped straight from science fiction concepts like the T-1000 from Terminator 2: Judgement Day. The researchers claim they have turned this theoretical vision into reality after studying embryonic morphogenesis, the biological process through which cells can change their shapes and turn into different tissues in the human body.

It is unclear if this is an autonomous robot, but I want one.🤖


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Michael Le Page explains how this “multi-region brain organoid” contains 80 per cent of the cell types found in a 40-day-old fetal brain.

The team behind it aims to study conditions like autism and schizophrenia — with some suggesting they could one day be used in artificial intelligence. But this all throws up major ethical issues…

Hear the full story on New Scientist Weekly, a news podcast for the insatiably curious, hosted by Rowan Hooper and Penny Sarchet.


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Tech juggernaut Nvidia continued its winning streak on Wednesday, posting record quarterly revenue of $39.3 billion, up 12% from last quarter and 78% a year ago, compared to Wall Street’s projection of $38.3 billion. Sales for the year came in at $130.5 billion, up 114% from the previous year.

The company forecast revenue for next quarter to hit $43 billion, slightly above the Street’s projections. Gross margins dipped for a second consecutive quarter, however, coming in at 73.5%, matching the guidance CFO Colette Kress offered last quarter. She said margins are expected to temporarily drop into the low 70s amid the Blackwell rollout.

Another amazing quarter from the company, said Will Rhind, founder and CEO of GraniteShares, who manages leveraged ETFs that give investors double the exposure to long or short positions on the stock. The only slight thing that I guess you could probably nitpick on is margins.

Today, the company’s data center business accounts for most of its sales as customers, including nearly all of Big Tech, race to amass as much compute power as possible. The data center division’s $35.6 billion in revenue increased 93% from the same quarter last year and beat the Street’s expected number of $34.2 billion.

Nvidia stock rose 171% in 2024, accounting for more than a fifth of the S&P 500’s overall gain. The company’s earnings are viewed as a reckoning for the whole Gen AI trade, making the chip behemoth’s financial results a momentous occasion for the entire equities landscape.

Rhind noted this latest batch of earnings comes as the market deals with increased uncertainty about issues such as tariffs and inflation. It really feels like the emphasis on this particular earnings call is more important than perhaps any of the others so far, he said.

DeepSeek, TikTok, CapCut, Shein, Temu, BYD, DJI, Huawei — Chinese technology is everywhere and in many areas the country is challenging the former high-tech powerhouses.

It’s all down to an ambitious plan China set out 10 years ago. The Made in China 2025 project vowed to turn China from the world’s factory to the world’s innovator.

And according to experts – they have largely succeeded. So how did they do it and what does it mean for the rest of the world and the future of technology dominance? Our Cyber Correspondent, Joe Tidy, explains.

00:00 Introduction.
01:18 Made in China 2025
04:07 Sanctions.
05:35 Reactions.

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Deep Nanometry (DNM) is an innovative technique combining high-speed optical detection with AI-driven noise reduction, allowing researchers to find rare nanoparticles like extracellular vesicles (EVs).

Since EVs play a role in disease detection, DNM could revolutionize early cancer diagnosis. Its applications stretch beyond healthcare, promising advances in vaccine research, and environmental science.

A Breakthrough in Nanoparticle Detection.

The biological cycle of our existence seems relatively straightforward: we’re born, we live, we die. The end.

But when you examine existence at the cellular level, things get a bit more interesting. You, me, and all of the 108 billion or so Homo sapiens who’ve ever walked the Earth have all been our own constellation of some 30 trillion cells. Each of our bodies is a collective organism of living human cells and microbes working in cooperation to create what our minds view as “life.” However, a growing number of new studies have found that, at least for some cells, death isn’t the end. Instead, it’s possibly the beginning of something new and wholly unexpected.

A growing snowball of research concerning a new class of AI-designed multicellular organisms known as “xenobots” is gaining scientific attention for their apparent autonomy. In September 2024, Peter Noble, Ph.D., a microbiologist from the University of Alabama at Birmingham, along with Alex Pozhitkov, Ph.D., a bioinformatics researcher at the City of Hope cancer center, detailed this research on the website The Conversation.