Technology & AI
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Self-driving tech startup Wayve raises $1.2B from Nvidia, Uber, and three automakers.
Wayve’s self-driving technology attracted a diverse group of investors in the company’s latest $1.2 billion funding round, including three automakers,…
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Meta AI Open Sources for GCM Monitoring Better GPU Clustering to Ensure High AI Training Performance and Hardware Reliability
While techies are thinking about Llama’s latest labs, the toughest battle is being fought in the basements of data centers.…
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Coding Implementations to Simulate Effective Byzantine Fault Tolerance with Asyncio, Malicious Nodes, and Latency Analysis
In this tutorial, we use an end-to-end Practical Byzantine Fault Tolerance (PBFT) simulator using asyncio. We model a realistic distributed…
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Google’s new 1.9GW clean energy deal includes massive 100-hour battery
Google announced Tuesday that it will build a data center in Minnesota backed by 1.9 gigawatts of clean energy, including…
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Sophia Space raises $10M to accelerate creation of orbital computing systems
Artist’s impression shows the Sophia 40 TILE satellite, each tile powered by its own solar panel. (Sophia Space Illustration) Sophia…
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Alibaba Qwen Group Releases Qwen 3.5 Medium Model Series: A Production Powerhouse That Proves Small AI Models Are Intelligent
The development of large linguistic models (LLMs) has been described in pursuit of a crude scale. While the multi-billion-dollar parameter…
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OpenAI COO says ‘we haven’t really seen AI enter business processes yet’
Earlier this month, OpenAI launched a new platform called OpenAI Frontier for businesses to build and manage agents, but OpenAI…
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San Francisco startup AI Nooks is making an engineering push in Seattle
Nooks CTO and founder Nikhil Cheerla. (Photo by Nooks) Nooks is based in Seattle. The San Francisco-based startup, which builds…
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Last 4 days to save up to $680 on your Disrupt 2026 winnings
You are not entering TechCrunch Disrupt sitting in the audience. You will gain strength. If 2026 is the year of…
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The Complete Guide to Time Series ML
The success of machine learning pipelines depends on feature engineering as their key foundation. Two of the most powerful ways…
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