Technology

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

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Anthropic

Attackers take down charter airline supporting Trump’s deportation campaigns

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News

OpenAI may introduce weekly and lifetime plans

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Microsoft and OpenAI could be renegotiating the partnership

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ChatGPT now allows you to download deep research as PDF

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Tencent Released PrimitiveAnything: A New AI Framework That Reconstructs 3D Shapes...

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LightOn AI Released GTE-ModernColBERT-v1: A Scalable Token-Level Semantic Search Model for...

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This AI Paper Introduces Effective State-Size (ESS): A Metric to Quantify...

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Technology

Dream 7B: How Diffusion-Based Reasoning Models Are Reshaping AI

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Embracing AI: Transforming Traditional Business Models

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FDA, OpenAI discussing use of AI for drug evaluation

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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,...