The missing data link in enterprise AI: Why agents need streaming context, not just better prompts

[ad_1] Enterprise AI agents today face a fundamental timing problem: They can't easily act on critical business events because they aren't always aware of them in real-time. The challenge is infrastructure. Most enterprise data lives in databases fed by extract-transform-load (ETL) jobs that run hourly or daily — ultimately too slow for agents that must…

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IBM's open source Granite 4.0 Nano AI models are small enough to run locally directly in your browser

[ad_1] In an industry where model size is often seen as a proxy for intelligence, IBM is charting a different course — one that values efficiency over enormity, and accessibility over abstraction. The 114-year-old tech giant's four new Granite 4.0 Nano models, released today, range from just 350 million to 1.5 billion parameters, a fraction…

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5 Advanced Feature Engineering Techniques with LLMs for Tabular Data – MachineLearningMastery.com

[ad_1] In this article, you will learn practical, advanced ways to use large language models (LLMs) to engineer features that fuse structured (tabular) data with text for stronger downstream models. Topics we will cover include: Generating semantic features from tabular contexts and combining them with numeric data. Using LLMs for context-aware imputation, enrichment, and domain-driven…

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Battlefield 6’s Season 1 patch will address weapon bloom, tweak movement, improve visibility, and change (some of) those miserable challenges

[ad_1] The Battlefield 6 honeymoon phase is nearing its end. While the game remains popular and incredibly well received, a few issues have lingered around since launch and they’re starting to turn into a problem. As has always been the plan, Battlefield Studios wanted the game’s first season to arrive shortly after launch, perhaps as…

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TDK’s Analog Reservoir AI Chip: Low-Power Real-Time Learning at the Edge

[ad_1] At CEATEC 2025 in Japan, TDK Corporation presented a prototype that may impact how artificial intelligence learns and reacts in real time. The company’s new Analog Reservoir AI Chip, developed in collaboration with Hokkaido University, brings biological-style, low-power learning to compact hardware. Although still a research-stage device, the prototype vividly demonstrated its potential through…

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