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AWS presents three serverless patterns for invoking Amazon Bedrock AgentCore agents asynchronously from AWS Step Functions. Task-token callbacks, direct service integrations, and durable functions help eliminate idle compute costs while agents process requests.
British AI-chip startup Fractile is reportedly in advanced talks to raise funds at a $6.5 billion pre-money valuation. The proposed valuation is more than six times its level three months ago, following a chip-supply deal with Anthropic.
Ornith-1.5 launches open models in 397B, 35B, and 9B parameter sizes. The models feature self-improving task and scaffold generation and report strong performance on coding and reasoning benchmarks.
Cerebras launched the CS-4, its first system to combine three wafer-scale processors in a single rack. The inference-focused machine is shipping this quarter, with Cerebras claiming up to 30 times the speed of GPU-based systems for frontier models.
AntLing has released six official Ling-3.0 base checkpoints spanning two model sizes and three training stages. The MIT-licensed, ungated repositories are intended for continued pretraining, fine-tuning, and research rather than direct chat use.
Stecon Group Pcl plans to bid for three data-center construction projects valued at a combined 49.8 billion baht, or about $1.5 billion. The company expects Thailand’s accelerating technology investment to drive further growth.
AI for Science is moving from computational assistance to physical experimentation as robots enter national-level laboratories. 源络科技 is presented as a company helping bring AI for Science into a more automated laboratory 3.0 stage.
The article reports that three-quarters of organizations found AI-related layoffs cost more than they saved. It argues that leaders should focus on using AI to augment employees and generate measurable operational value instead of simply cutting headcount.
The article examines three strategic questions that companies must answer before AI becomes a sustainable business: where they are positioned, whom they should work with, and how to generate recurring profits. It frames AI adoption as a business execution challenge beyond simply deploying models.
The FDA has cleared Aletta, an independent robot that automates venous blood collection in outpatient settings. It uses near-infrared imaging and Doppler ultrasound to locate veins, while trained staff must initiate and supervise the procedure; one operator can monitor up to three robots.