Technology

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

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Meta AI Open-Sources LlamaFirewall: A Security Guardrail Tool to Help Build...

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Ming-Lite-Uni: An Open-Source AI Framework Designed to Unify Text and Vision...

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ServiceNow AI Released Apriel-Nemotron-15b-Thinker: A Compact Yet Powerful Reasoning Model Optimized...

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AI That Teaches Itself: Tsinghua University’s ā€˜Absolute Zero’ Trains LLMs With...

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Trump AI chip policy to scrap Biden’s export controls

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Technology

The Unknown Tech Behind a New Generation of Edge AI Devices

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Finance and Banking

AI’s Biggest Opportunity in Finance Isn’t New Models—It’s Unlocking Old Data

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Open-Source Tools

Top 10 AI Tools for Embedded Analytics and Reporting (May 2025)

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Natural Language Processing

A new AI translation system for headphones clones multiple voices simultaneously

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Apple Developing Chips for AR, 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,...