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Current AI training methods burn colossal amounts of energy to learn, but the human brain sips just 20 W. Swiss startup FinalSpark is now selling access to cyborg biocomputers, running up to four living human brain organoids wired into silicon chips.

The human brain communicates within itself and with the rest of the body mainly through electrical signals; sights, sounds and sensations are all converted into electrical pulses before our brains can perceive them. This makes brain tissue highly compatible with silicon chips, at least for as long as you can keep it alive.

For FinalSpark’s Neuroplatform, brain organoids comprising about 10,000 living neurons are grown from stem cells. These little balls, about 0.5 mm (0.02 in) in diameter, are kept in incubators at around body temperature, supplied with water and nutrients and protected from bacterial or viral contamination, and they’re wired into an electrical circuit with a series of tiny electrodes.

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Scientists have just identified the formation processes of some of the Universe’s earliest galaxies in the turbulent era of the Cosmic Dawn.

JWST observations of the early Universe around 13.3 to 13.4 billion years ago – just a few hundred million years after the Big Bang – have revealed telltale signs of gas reservoirs being actively slurped into three newly forming and growing galaxies.

“You could say that these are the first ‘direct’ images of galaxy formation that we’ve ever seen,” says astrophysicist Kasper Elm Heintz from the Niels Bohr Institute in Denmark, who led the research.

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Despite their performance, current AI models have major weaknesses: they require enormous resources and are indecipherable. Help may be on the way.

By Manon Bischoff

ChatGPT has triggered an onslaught of artificial intelligence hype. The arrival of OpenAI’s large-language-model-powered (LLM-powered) chatbot forced leading tech companies to follow suit with similar applications as quickly as possible. The race is continuing to develop a powerful AI model. Meta came out with an LLM called Llama at the beginning of 2023, and Google presented its Bard model (now called Gemini) last year as well. Other providers, such as Anthropic, have also delivered impressive AI applications.

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Scientists “took a picture” of the Big Bang by capturing the cosmic microwave background (CMB) radiation, which is like the afterglow of the Big Bang. They used satellites like the Cosmic Background Explorer (COBE) and the Planck spacecraft to measure this ancient light. These instruments detected faint microwave signals that have been traveling through space for about 13.8 billion years. By analyzing these signals, scientists created a detailed map of the early universe, showing tiny temperature fluctuations. This “picture” helps us understand the universe’s origins and how it has evolved over time. #brightside Credit: Galaxy Cluster Abell: NASA Hubble — https://flic.kr/p/2e8LH2d, CC BY 2.0 https://creativecommons.org/licenses/.…, https://commons.wikimedia.org/wiki/Fi… Cosmic Microwave: ESA and the Planck Collaboration, CC BY 4.0 https://creativecommons.org/licenses/.…, https://commons.wikimedia.org/wiki/Fi… NASA’s Goddard Space Flight Center Animation is created by Bright Side.

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After finding a mistake in the generalised quantum Stein’s lemma, researchers including CQT’s Marco Tomamichel are working through the consequences.


The proof of the generalised quantum Stein’s lemma has a gap. Image credit: Shutterstock.com/randy andy

The discovery of a flaw in the proof of a 15-year-old lemma has rocked the community of researchers who study quantum information. Results that built on the finding are also broken.

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