Technology

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SEC sues Elon Musk after he allegedly cheated investors out of...

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Allstate accused of paying app makers for driver information in secret

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Nvidia data center customers are delaying Blackwell chip orders because of...

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NVIDIA, Oracle and other US AI chip manufacturers oppose new US...

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OpenAI’s agentic age begins: ChatGPT Tasks provides job scheduling, reminders, and...

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ChatGPT now handles reminders and to-dos.

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Samsung teases Bixby AI makeover

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Google tests simpler Circle to Search

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Google Photos removing the ‘Memories tab’ on Android

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Meta accused of using pirated torrents to train its AI

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Education

This AI Paper Introduces Differentiable MCMC Layers: A New AI Framework...

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Researchers at UT Austin Introduce Panda: A Foundation Model for Nonlinear...

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Education

Qwen Researchers Proposes QwenLong-L1: A Reinforcement Learning Framework for Long-Context Reasoning...

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Natural Language Processing

Meta AI Introduces Multi-SpatialMLLM: A Multi-Frame Spatial Understanding with Multi-modal Large...

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This AI Paper Introduces Differentiable MCMC Layers: A New AI Framework...

Neural networks have long been powerful tools for handling complex data-driven tasks. Still, they often struggle to make discrete decisions under strict constraints, like routing vehicles or scheduling jobs. These discrete decision problems, commonly found in operations research, are computationally intensive and difficult to integrate into the smooth, continuous...