Google Cloud Summit came to London last week, and we took the opportunity to sit down with database execs Sailesh ...
Europe’s pro-competition proposals could see Google Search and Android systems opened up. The company claims there are ...
LFM2.5-230M proves that while 3-billion-parameter models like VibeThinker are solving advanced calculus, a ...
Storage-to-data-management firm expands Enterprise Data Cloud at Accelerate 2026 with OneTouch integration and artificial ...
LongCat-2.0 boasts 1.6 trillion parameters and a million-token context window, on par with DeepSeek’s latest flagship model.
Hyperscalers want their data centers online and utilities want to provide interconnections, but experts say both are still ...
Explore the salary comparison between Data Analysts and Data Scientists in Gurgaon in 2026. Learn about pay scales, career ...
The MIA attack itself, as detailed in the paper, relies on medical AIs being more certain of their predictions if the input ...
With access to many different types of data fabrics, companies big and small can use them to provide AI agents with wide ...
As AI continues to advance, infrastructure must evolve to enable access and delivery of real-time information at scale.
NUS researchers' MRAgent framework reduces LLM agent memory retrieval to 118K tokens per query — vs. 3.26M for LangMem — using step-by-step reasoning.
Meituan’s LongCat-2.0, a 1.6-trillion-parameter model, is the first of its size trained end-to-end on a 50,000-chip domestic cluster, China says, amid US export curbs.
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