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An international team, headed by the University of Geneva (UNIGE), has created a quantum material that allows the fabric of the space inhabited by electrons to be curved on demand.

The advent of cutting-edge information and communication technologies presents scientists and industry with new hurdles to overcome. To address these challenges, designing new quantum materials, which derive their remarkable characteristics from the principles of quantum physics, is the most promising approach.

A global collaboration headed by the University of Geneva (UNIGE) and featuring researchers from the universities of Salerno, Utrecht, and Delft, has developed a material that allows for the control of electron dynamics by curving the fabric of space in which they evolve. This advancement holds promise for future electronic devices, particularly in the field of optoelectronics. The findings were published in the journal Nature Materials.

Remark: This article is from The Conversation “En Anglais” written by Victor DOS SANTOS PAULINO & Nonthapat PULSIRI (V&N) — Experts from Toulouse Business School and The SIRIUS Chair (France)

When talking about space, one might think about the stars one sees at night or a good sci-fi film. But space is also crowded with satellites, spacecrafts and astronauts, whose missions can last anywhere from several days to months. Meanwhile, 8,216 unmanned satellites revolve around Earth’s orbits to improve our daily lives. Communication satellites contribute to enhancing Internet access in regions deprived of infrastructure (so-called “white areas”); meteorology satellites have become essential for weather forecasts, while navigation satellites (including GPS) are crucial for current and future transportation needs such as automatic driving vehicles.

Researchers have developed a new method for creating realistic 3D holographic projections that are three orders of magnitude better than the current state-of-the-art technology. Previous attempts to improve the resolution of holograms have run into three basic roadblocks. However, this new ultrahigh-density method shows that two of those have now been solved, dramatically improving the overall quality, resolution, and appearance of holographic projections.

“Our new method overcomes two long-existing bottlenecks in current digital holographic techniques — low axial resolution and high interplane crosstalk — that prevent fine depth control of the hologram and thus limit the quality of the 3D display,” said Lei Gong, who led a research team from the University of Science and Technology of China. “Our approach could also improve holography-based optical encryption by allowing more data to be encrypted in the hologram.”

Limitations of Current Methods for Generating Holograms.

Researchers in New York developed a virtual reality maze for mice in an attempt to demystify a question that’s been plaguing neuroscientists for decades: How are long-term memories stored?

What they found surprised them. After forming in the hippocampus, a curved structure that lies deep within the brain, the mice’s memories were actually rooted through what’s called the anterior thalamus, an area of the brain that scientists haven’t typically associated with memory processing at all.

“The thalamus being a clear winner here was very interesting for us, and unexpected,” said Priya Rajasethupathy, an associate professor at Rockefeller University and one of the coauthors of a peer-reviewed study published in the journal Cell this week. The thalamus “has often been thought of as a sensory relay, not very cognitive, not very important in memory.”

On Wednesday, Meta announced an AI model called the Segment Anything Model (SAM) that can identify individual objects in images and videos, even those not encountered during training, reports Reuters.

According to a blog post from Meta, SAM is an image segmentation model that can respond to text prompts or user clicks to isolate specific objects within an image. Image segmentation is a process in computer vision that involves dividing an image into multiple segments or regions, each representing a specific object or area of interest.

It seems some countries in Europe might ban ChatGPT due to privacy reasons.


Italy isn’t the only country reckoning with the rapid pace of AI progression and its implications for society. Other governments are coming up with their own rules for AI, which, whether or not they mention generative AI, will undoubtedly touch on it. Generative AI refers to a set of AI technologies that generate new content based on prompts from users. It is more advanced than previous iterations of AI, thanks in no small part to new large language models, which are trained on vast quantities of data.

There have long been calls for AI to face regulation. But the pace at which the technology has progressed is such that it is proving difficult for governments to keep up. Computers can now create realistic art, write entire essays, or even generate lines of code, in a matter of seconds.

“We have got to be very careful that we don’t create a world where humans are somehow subservient to a greater machine future,” Sophie Hackford, a futurist and global technology innovation advisor for American farming equipment maker John Deere, told CNBC’s “Squawk Box Europe” Monday.