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Apple’s silicon roadmap is sweeping, with the M6, M7 and smart...

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Finance and Banking

Why your AI investments aren’t paying off

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Meta’s new AI model can translate speech from more than 100...

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Microsoft launched the Phi-4 model with fully open weights

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AI tools to enhance your job search by 2025

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Parallels brings back magic to Windows booting after seven minutes of...

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GoDaddy slapped with wet lettuce for years of lax security and...

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DJI relaxes flight restrictions and decides to trust operators that they...

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Nvidia shovels 500M into Israeli boffinry Supercomputer

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Computer Vision

Forget Nvidia: Ndea wants to build AI that keeps improving on...

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Computer Vision

Exploring novel deep learning-based models for cancer histopathology image analysis

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A Deep Technical Dive into Next-Generation Interoperability Protocols: Model Context Protocol...

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Enterprise AI Without GPU Burn: Salesforce’s xGen-small Optimizes for Context, Cost,...

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ByteDance Open-Sources DeerFlow: A Modular Multi-Agent Framework for Deep Research Automation

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Education

Microsoft Researchers Introduce ARTIST: A Reinforcement Learning Framework That Equips LLMs...

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AI Observer

A Deep Technical Dive into Next-Generation Interoperability Protocols: Model Context Protocol...

As autonomous systems increasingly rely on large language models (LLMs) for reasoning, planning, and action execution, a critical bottleneck has emerged, not in capability but in communication. While LLM agents can parse instructions and call tools, their ability to interoperate with one another in scalable, secure, and modular ways...