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Flexible position encoding helps LLMs follow complex instructions and shifting states
Most languages use word position and sentence structure to extract meaning. For example, "The cat sat on the box," is not the ...
Proper classics like Citizen Kane and devastating gems like Grave of the Fireflies are among the best movies that open with ...
This study presents a valuable advance in reconstructing naturalistic speech from intracranial ECoG data using a dual-pathway model. The evidence supporting the claims of the authors is solid, ...
KernelOptimizer is an open-source tool that automates CUDA kernel optimization for PyTorch workloads using large language models (LLMs). Inspired by Stanford CRFM’s fast kernel research, it leverages ...
Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter adjustments. It started with the ...
At ELRIG 2025 Dr Barak Gilboa of Novo Nordisk unveiled a suite of AI-enabled approaches that turn brightfield microscopy from a low-contrast focusing aid into a powerful modality for high-content ...
Bell Labs is already highly recognized, but in its centennial year, the organization hoped to add more awards to burnish its ...
Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Thomas J. Brock is a CFA and CPA with more ...
Abstract: Although deep neural networks have made significant progress in semantic segmentation, speed and computational cost still can't meet the strict requirements of real-world applications. In ...
Jennifer Simonson is a business journalist with a decade of experience covering entrepreneurship and small business. Drawing on her background as a founder of multiple startups, she writes for Forbes ...
Abstract: Passive millimeter-wave (PMMW) imaging is an ideal technique for concealed object detection in non-contact security inspection scenarios, and has been widely used in railway stations and ...
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