Technology

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

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News

Why ā€˜Beating China’ in AI Brings Its Own Risks

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AI means the end of internet search as we’ve known it

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Technology

An AI Teammate That Conducts Military Operations – Simulations in War...

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How optimistic are you about AI’s future?

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Technology

Edge computing’s rise will drive cloud consumption, not replace it

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Technology

OpenAI Acquires Rockset and Highlights Where Generative AI is Headed Next

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Technology

From Token to Conceptual: Meta introduces Large Concept Models in Multilingual...

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What’s next for AI in 2025

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AI Hardware

Purpose-built AI hardware: Smart strategies for scaling infrastructure

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Technology

The Rise of Agentic AI: A Look Back at 2024 and...

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Education

ZeroSearch from Alibaba Uses Reinforcement Learning and Simulated Documents to Teach...

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Understanding the Dual Nature of OpenAI

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Lightricks Unveils Lightning-Fast AI Video

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Education

Fine-tuning vs. in-context learning: New research guides better LLM customization for...

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ZeroSearch from Alibaba Uses Reinforcement Learning and Simulated Documents to Teach...

Large language models are now central to various applications, from coding to academic tutoring and automated assistants. However, a critical limitation persists in how these models are designed; they are trained on static datasets that become outdated over time. This creates a fundamental challenge because the language models cannot...