China Considers Export Curbs on Top AI Models
China is exploring restrictions on foreign access to its most advanced AI models, with talks involving Alibaba, ByteDance, and Z.ai, raising concerns for Europe.
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China is exploring restrictions on foreign access to its most advanced AI models, with talks involving Alibaba, ByteDance, and Z.ai, raising concerns for Europe.
Anthropic has expanded access to its Claude Cowork AI agent to mobile and web platforms, starting with Max rs users.
Cohere has released an open-source Arabic speech-to-text model, claiming it is the most accurate available, with human ratings showing superior performance over Whisper Large V3.
Microsoft is replacing OpenAI and Anthropic models in Copilot products with its own MAI models, reducing spending on third-party AI.
Chinese startup DeepSeek aims to reduce reliance on Huawei and Nvidia by building its own data center chips for inference tasks.
AMD outlines how occupancy on its MI355X GPU is determined by four resource limiters, with matrix cores maintaining near peak utilization even at lower occupancy levels.
AWS Finance teams cut data preparation time by hundreds of hours using Amazon Quick, reducing customer analysis from 6 hours to 10 minutes per customer.
AWS announced a new AI-powered support companion that streamlines incident investigation, reducing time per case by 30–45 minutes. The tool integrates multiple AWS services through Amazon Bedrock AgentCore.
Amazon SageMaker AI now supports model monitoring with MLflow, enabling detection of data and model drift in production environments.
Amazon Bedrock AgentCore enables a serverless image editing application that processes user requests in seconds, using three Stability AI models and no custom orchestration code.
Amazon Quick Sight now lets analysts generate SQL through natural language, enabling complex multi-dataset queries without pre-joining data. The feature supports up to 12 datasets and allows for flexible joins like outer joins and cross-grain comparisons.
Amazon Quick Sight now supports runtime joins across multiple datasets, reducing upfront data preparation and improving analysis flexibility. The feature enables logical relationships between datasets, allowing precise joins at query time.