Adaption aims big with AutoScientist, an AI tool that helps models train themselves
Adaption's AutoScientist tool automates the fine-tuning process for AI models, enabling them to adapt to specific capabilities more quickly.
Read on TechCrunch →Tower Semiconductor secures $1.3 billion in AI chip deals for 2027, anticipating strong quarterly revenue driven by AI data center demand.
Why it matters
This article highlights significant investment and demand in the semiconductor supply chain for AI infrastructure. The substantial deals secured by Tower Semiconductor indicate a growing market for specialized chips essential for powering AI data centers, suggesting a robust future for AI hardware development and deployment. This signals continued expansion and investment in the foundational technologies that enable advanced AI capabilities.
A company that makes computer chips is getting a lot of new orders, worth over a billion dollars, to build special chips for AI computers. This shows that people are investing a lot in the technology needed to run AI.
Adaption's AutoScientist tool automates the fine-tuning process for AI models, enabling them to adapt to specific capabilities more quickly.
Read on TechCrunch →Samsara uses AI to identify and track pothole deterioration from trucks, aiming to improve road maintenance efficiency.
Read on TechCrunch →Samsara uses AI to analyze connected car data for pothole detection and deterioration assessment.
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