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One of the primary goals of the Large Hadron Collider (LHC) experiments is to look for signs of new particles, which could explain many of the unsolved mysteries in physics. Often, searches for new physics are designed to look for one specific type of new particle at a time, using theoretical predictions as a guide. But what about searching for unpredicted – and unexpected – new particles?

Sifting through the billions of collisions that occur in the LHC experiments without knowing exactly what to look for would be a mammoth task for physicists. So, instead of combing through the data and looking for anomalies, the ATLAS and CMS collaborations are letting artificial intelligence (AI) streamline the process.

The World Intellectual Property Organization – @WIPO publishes the “Patent Landscape Report on Generative AI.” https://www.wipo.int/web-publications/patent-landscape-repor…index.html.

- 54,000 GenAI-related inventions (patent families) were filed and more…


Generative AI is booming. It is a cutting-edge technology that is poised to disrupt various economic, social, and cultural sectors, and it extends far beyond simple human-like text generation using chatbots. Drawing on original analysis of patent and scientific data, the WIPO patent landscape report on Generative AI provides a snapshot of the patent situation for GenAI.

Sophisticated spacecraft often run on shockingly outdated computing systems: consider that the Perseverance rover runs on a PowerPC 750, the processor famous for running on iMacs in the late 1990s.

San Francisco-based Aethero is aiming to bring more powerful computing systems to orbit, and their first payload launches this month on SpaceX’s Transporter-11 rideshare mission. The computer, a small, stackable MVP called AetherNxN that’s built on an Nvidia Orin processor, will be getting extra protection from a new radiation shielding material that the product’s developers, Cosmic Shielding Corporation (CSC), say could help unlock a new era for computing in space.

Today, electronics in space are protected from harmful radiation in two ways. They’re physically shielded, using some combination of materials like aluminum and tantalum, and they’re radiation hardened, which generally means that they’re designed in ways that increase their tolerance to radiation exposure. The AetherNxN computer is rad-hardened, but adding CSC’s shielding “enables us to bring that AI-capable of hardware into space and have it operate under these very hostile conditions,” Aethero cofounder Edward Ge said in a recent interview.

It resembles a malevolent robot from 1980s sci-fi but West Japan Railway’s new humanoid employee was designed with nothing more sinister than a spot of painting and gardening in mind.

Starting this month, the machine with a crude head and coke-bottle eyes mounted on a truck—which can drive on rails—will be put to use for on the firm’s network.

Its operator sits in a cockpit on the truck, “seeing” through the robot’s eyes via cameras and operating its powerful limbs and hands remotely.

👉 Researchers at Tencent AI Lab Seattle have developed a way to use synthetic personalities to generate billions of data sets for training AI models.


Researchers at the Tencent AI Lab in Seattle have introduced a new method for generating synthetic data: synthetic personalities.

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The Tencent AI Lab calls them “personas” and creates substitutes for real people to generate billions of synthetic datasets for developing AI systems.