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Anthropic Commits $11.6 Billion to Akamai in Record Cloudβ9
Anthropic commits $11.6 billion to Akamai in a record cloud deal, with a warrant that could push the total to $20 billion and a bet on CPU infrastructure.
Meta Removes Contract Language That Sparked Web Scraping and AIβ8
Meta removed a clause from its commercial terms that legal experts said could let it scrape publisher sites and train AI models, after initially defending the l...
Muju Earth's Aeropod Automates Soil Aeration Without Robotics,β9
Muju Earth's Aeropod, a seed-sized device that automates soil aeration without robotics, cuts tilling costs and debuts at TechCrunch Disrupt 2026.
Designing Physical AI Systems Under Real-World Constraintsβ9
Physical AI systems must work reliably under real-world power, latency, and safety constraints. Learn how to design hardware and models together for deployment.
Metaβs Muse Is CreepyβBut Maybe Not for the Reasons You Thinkβ9
Metaβs Muse AI assistant feels creepy, but the real unease stems from how it worksβand what Meta hasnβt disclosed about its opaque inner workings.
Build and Run an Intelligent Document Processing (IDP) System inβ10
Build and run an Intelligent Document Processing (IDP) system on AWS to automate email-based identity verification and PII extraction, boosting efficiency by 90...
WindBorne Lands Up to $49M US Air Force Contract for Its AIβ9
WindBorne Systems secured a US Air Force contract worth up to $49M to supply AI-powered weather balloon data, marking its largest deal yet.
Anthropic's IPO Prospectus Reveals $8B Losses, Explosive Growthβ9
Anthropic's IPO prospectus reveals $8B losses, explosive revenue growth, and a stark warning that its AI could end humanity, raising unprecedented ethical quest...
Mistral's New 1T Parameter Model Aims to Leapfrog Closed andβ9
Mistral AI launches Mistral Large 4, a 1T parameter multimodal model trained on 4,000 GPUs, positioning it as a third way between closed and open rivals.
Fine-Grained Emotion Classification from Mobile App Reviews: Aβ9
This 2026 empirical study compares encoder-only fine-tuning with decoder-only LLM prompting for fine-grained multi-label emotion classification of mobile app re...
