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Summary: Researchers have developed an AI-powered “electronic tongue” capable of distinguishing subtle differences in liquids, such as milk freshness, soda types, and coffee blends. By analyzing sensor data through a neural network, the device achieved over 95% accuracy in identifying liquid quality, authenticity, and potential safety issues. Interestingly, when the AI was allowed to select its own analysis parameters, it outperformed human-defined settings, showing how it holistically assessed subtle data.

This technology, which uses graphene-based sensors, could revolutionize food safety assessments and potentially extend to medical diagnostics. The device’s AI insights also provide a unique view into the neural network’s decision-making process. This innovation promises practical applications across industries where quality and safety are paramount.

Two researchers whose work has led to the AI revolution won the 2024 Nobel Prize in physics. A materials physicist explains statistical mechanics, the physics field behind their discoveries.

University of Toronto professor Geoffrey Hinton has been awarded the Nobel Prize in Physics for his work in AI. Adrian Ghobrial has more.

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Continue reading “Meet Geoffrey Hinton: Winner of the 2024 Nobel Prize in Physics” »

The US Department of Justice (DoJ) has submitted a new “Proposed Remedy Framework” to correct Google’s violation of antitrust antitrust laws in the country (h/t Mishaal Rahman). This framework seeks to remedy the harm caused by Google’s search distribution and revenue sharing, generation and display for search results, advertising scale and monetization, and accumulation and use of data.

The most drastic of the proposed solutions includes preventing Google from using its products, such as Chrome, Play, and Android, to advantage Google Search and related products. Other solutions include allowing websites to opt-out of training or appearing in Google-owned AI products, such as in AI Overviews in Google Search.

Google responded to this by asserting that “DOJ’s radical and sweeping proposals risk hurting consumers, businesses, and developers.” While the company intends to respond in detail to DoJ’s final proposals, it says that the DoJ is “already signaling requests that go far beyond the specific legal issues in this case.”

Research that eliminates the guesswork in developing advanced 3D printed materials could help accelerate the development of new forms of “self-sensing” airplanes, robots, bridges and more.

Researchers at the University Medical Center Göttingen (UMG), Germany, have developed a new method that makes it possible for the first time to image the three-dimensional shape of proteins with a conventional microscope. Combined with artificial intelligence, One-step Nanoscale Expansion (ONE) microscopy enables the detection of structural changes in damaged or toxic proteins in human samples. Diseases such as Parkinson’s disease, which are based on protein misfolding, could thus be detected and treated at an early stage.

ONE microscopy was named one of the “seven technologies to watch in 2024” by the journal Nature and was recently published in the renowned journal Nature Biotechnology (“One-step nanoscale expansion microscopy reveals individual protein shapes”).

Artistic impression of the first protein structure of the GABAA receptor solved by ONE microscopy. (Image: Shaib/Rizzoli, umg/mbexc)

In fusion experiments, understanding the behavior of the plasma, especially the ion temperature and rotation velocity, is essential. These two parameters play a critical role in the stability and performance of the plasma, making them vital for advancing fusion technology. However, quickly and accurately measuring these values has been a major technical challenge in operating fusion reactors at optimal levels.

An exploration of completely autonomous AI, the implications of it, and how we are moving towards. And the spooky possibilities of it.

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To better understand new and rare astronomical phenomena, radio astronomers are adopting accelerated computing and AI on NVIDIA Holoscan and IGX platforms.