An analysis of Tesla’s patent applications shows a slower pace of innovation in the last 2 years and a shift toward AI hardware and software as Elon Musk is betting the house on autonomous driving and ...

To make large language models (LLMs) more accurate when answering harder questions, researchers can let the model spend more time thinking about potential solutions. But common approaches that give ...

Post Doc Fellow: AI and Data Systems in Nuclear/Particle Physics, Stellenbosch University In most industries, maintenance is a waiting game. Things are fixed when they break. But in the 21st century, ...

(via Sabine Hossenfelder) If you’ve used current AI models, you know that they can’t reason like a human. “But so what?,” you might say, “they’ll get there eventually.” I don’t think so. Today I have ...

Abstract: The sparsity-regularized linear inverse problem has been widely used in many fields, such as remote sensing imaging, image processing and analysis, seismic deconvolution, compressed sensing, ...

Every couple of months, it feels like there's an announcement about the next frontier of LLMs and how we're inches away from artificial general intelligence (AGI). However, what strikes me is that ...

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OpenAI on Thursday unveiled its highly anticipated GPT-5, a powerful multi-modal AI model featuring major advancements in problem-solving and coding. The new flagship model was announced during a ...

Google DeepMind, Alphabet Inc.’s artificial intelligence research arm, today announced the rollout of Gemini 2.5 Deep Think, a new creative problem-solving AI model. The company stated the model is ...

Abstract: Genome rearrangement has been an active area of research in computational comparative genomics for the last three decades. While initially mostly an interesting algorithmic endeavor, now the ...