Asteroids were responsible for extinction events hundreds of millions of years ago on Earth, providing no shortage of doomsday film plots for Hollywood. But researchers focused on asteroid tracking are on a mission to locate them for today’s real-world concerns: planetary defense. The new and unexpected discovery tool applied in this research is NASA’s James
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It’s a match made in heaven — GeForce NOW and Warner Bros. Games are collaborating to bring the beloved Batman: Arkham series to the cloud as part of GeForce NOW’s fifth-anniversary celebration. Just in time for Valentine’s Day, gamers can fall in love all over again with Gotham City’s Dark Knight, streaming his epic adventures
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1 Billion Classifications
As AI models extend their capabilities to solve more sophisticated challenges, a new scaling law known as test-time scaling or inference-time scaling is…
As AI models extend their capabilities to solve more sophisticated challenges, a new scaling law known as test-time scaling or inference-time scaling is emerging. Also known as AI reasoning or long-thinking, this technique improves model performance by allocating additional computational resources during inference to evaluate multiple possible outcomes and then selecting the best one…
Just as there are widely understood empirical laws of nature — for example, what goes up must come down, or every action has an equal and opposite reaction — the field of AI was long defined by a single idea: that more compute, more training data and more parameters makes a better AI model. However,
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Model pruning and knowledge distillation are powerful cost-effective strategies for obtaining smaller language models from an initial larger sibling. …
Model pruning and knowledge distillation are powerful cost-effective strategies for obtaining smaller language models from an initial larger sibling. The How to Prune and Distill Llama-3.1 8B to an NVIDIA Llama-3.1-Minitron 4B Model post discussed the best practices of using large language models (LLMs) that combine depth, width, attention, and MLP pruning with knowledge distillation…
The rapid evolution of generative AI has created countless opportunities for innovation across industry and research. As is often the case with state-of-the-art technology, this evolution has also shifted the landscape of cybersecurity threats, creating new security requirements. Critical infrastructure cybersecurity is advancing to thwart the next wave of emerging threats in the AI era.
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