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A group of scientists and engineers that includes researchers from The University of Texas at Austin have created a new class of materials that can absorb low energy light and transform it into higher energy light. The new material is composed of ultra-small silicon nanoparticles and organic molecules closely related to ones utilized in OLED TVs. This new composite efficiently moves electrons between its organic and inorganic components, with applications for more efficient solar panels, more accurate medical imaging and better night vision goggles.

The material is described in a new paper in Nature Chemistry.

“This process gives us a whole new way of designing materials,” said Sean Roberts, an associate professor of chemistry at UT Austin. “It allows us to take two extremely different substances, silicon and , and bond them strongly enough to create not just a mixture, but an entirely new hybrid material with properties that are completely distinct from each of the two components.”

Although I’m swearing off studies as blog fodder, it did come to my attention that Vulcan Cyber’s Voyager18 research team recently issued an advisory validating that generative AI, such as ChatGPT, would be turned into a weapon quickly, ready to attack cloud-based systems near you. Most cloud computing insiders have been waiting for this.

New ways to attack

A new breaching technique using the OpenAI language model ChatGPT has emerged; attackers are spreading malicious packages in developers’ environments. Experts are seeing ChatGPT generate URLs, references, code libraries, and functions that do not exist. According to the report, these “hallucinations” may result from old training data. Through the code-generation capabilities of ChatGPT, attackers can exploit fabricated code libraries (packages) that are maliciously distributed, also bypassing conventional methods such as typosquatting.

Highlights from the latest #nvidia keynote at Computex in Taiwan, home of TSMC and is the world’s capital of semiconductor manufacturing and chip fabrication. Topics include @NVIDIA’s insane H100 datacenter GPUs, Grace Hopper superchips, GH200 AI supercomputer, and how these chips will power generative AI technologies like #chatgpt by #openai and reshape computing as we know it.

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Editor’s note: For a more mainstream assessment of this idea, see this article by Dr. Ethan Siegel.

Sir Roger Penrose, a mathematician and physicist from the University of Oxford who shared the Nobel Prize in physics in 2020, claims our universe has gone through multiple Big Bangs, with another one coming in our future.

Penrose received the Nobel for his working out mathematical methods that proved and expanded Albert Einstein’s general theory of relativity, and for his discoveries on black holes, which showed how objects that become too dense undergo gravitational collapse into singularities – points of infinite mass.