Technology

EPFL Researchers Unveil FG2 at CVPR: A New AI Model That...

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Nvidia accused by critics of delaying RTX5060 reviews due to withholding...

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ChatGPT Deep research can now connect to GitHub.

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OpenAI to spend $3 billion on AI coding software Windsurf, as...

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Google Releases 76-Page Whitepaper on AI Agents: A Deep Technical Dive...

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This AI Paper Introduce WebThinker: A Deep Research Agent that Empowers...

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Technology

Statement from AI Now Co-EDs Amba Kak and Sarah Myers West...

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AI Now Co-ED Sarah Myers West Delivers Keynote Address at the...

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Technology

AI Now Statement on the UK AI Safety Institute transition to...

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As Israel uses US-made AI models in war, concerns arise about...

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US and UK refuse to sign summit declaration on AI

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AI Hardware

OpenBMB Releases MiniCPM4: Ultra-Efficient Language Models for Edge Devices with Sparse...

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The concerted effort of maintaining application resilience

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Ericsson and AWS bet on AI to create self-healing networks

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Legal & Compliance

Meta buys stake in Scale AI, raising antitrust concerns

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OpenBMB Releases MiniCPM4: Ultra-Efficient Language Models for Edge Devices with Sparse...

The Need for Efficient On-Device Language Models Large language models have become integral to AI systems, enabling tasks like multilingual translation, virtual assistance, and automated reasoning through transformer-based architectures. While highly capable, these models are typically large, requiring powerful cloud infrastructure for training and inference. This reliance leads to latency,...