Google has launched Gemini Embedding 2, its first natively multimodal embedding model supporting text, images, video, audio, ...
Nebius Group N.V. lands a $2B Nvidia deal to scale hyperscale AI cloud with Rubin/Vera/BlueField. Click for this NBIS stock update.
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Western AI models fail spectacularly in farms and forests abroad
Big tech’s AI tools trained on Western data often can’t recognize local crops, forests, or farming conditions without adaptation to local environments.
An AI agent called Zephyrus converts plain-language questions into code to analyze real weather datasets and forecast models ...
AI weather models show promise for hurricane forecasts, but new study finds key physical limitations
Artificial intelligence is rapidly transforming weather prediction, enabling forecasts that once required hours of supercomputing time to run in just minutes. But as AI tools play an expanding role in ...
Arabian Post on MSN
Beijing restricts OpenClaw AI across state systems
Chinese authorities have begun restricting the use of OpenClaw artificial-intelligence applications on office computers within banks, government departments and state-owned enterprises, responding to ...
Perplexity takes its ‘Computer’ AI agent into the enterprise, taking aim at Microsoft and Salesforce
Perplexity announced Computer for Enterprise at its Ask 2026 developer conference, launching a multi-model AI agent with ...
The journal Nature in January published an unusual paper: A team of artificial intelligence researchers had discovered a relatively simple way of turning large language models, like OpenAI’s GPT-4o, ...
Databricks has released KARL, an RL-trained RAG agent that it says handles all six enterprise search categories at 33% lower ...
Data science and analytics are entering a phase of recalibration, where measured contribution outweighs technical ambition. Executive focus has moved ...
In today's digital age, the importance of data centers cannot be overstated. As organizations transition to cloud computing and digital services, ...
Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.
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