Artemis II Returns From Historic Flight Around the Moon
After traveling a greater distance from Earth than any humans before them, the astronauts of Artemis II have safely returned home.
This new chip could slash data center energy waste
A new chip design from UC San Diego could make data centers far more energy-efficient by rethinking how power is converted for GPUs. By combining vibrating piezoelectric components with a clever circuit layout, the system overcomes limitations of traditional designs. The prototype achieved impressive efficiency and delivered much more power than previous attempts. Though not …
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After Anthropic’s Mythos AI uncovers thousands of zero-day bugs, top US officials huddle with bank CEOs
The heads of America’s biggest banks met this week with Federal Reserve Chairman Jerome Powell and Treasury Secretary Scott Bessent to weigh the security implications of a new artificial intelligence system developed by Anthropic, according to reports Friday.
New changes at CivitAI
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The Roadmap to Mastering Agentic AI Design Patterns
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A Theoretical Framework for Acoustic Neighbor Embeddings
This paper provides a theoretical framework for interpreting acoustic neighbor embeddings, which are representations of the phonetic content of variable-width audio or text in a fixed-dimensional embedding space. A probabilistic interpretation of the distances between embeddings is proposed, based on a general quantitative definition of phonetic similarity between words. This provides us a framework for …
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Understanding Amazon Bedrock model lifecycle
Amazon Bedrock regularly releases new foundation model (FM) versions with better capabilities, accuracy, and safety. Understanding the model lifecycle is essential for effective planning and management of AI applications built on Amazon Bedrock. Before migrating your applications, you can test these models through the Amazon Bedrock console or API to evaluate their performance and compatibility. …
Guardrails at the gateway: Securing AI inference on GKE with Model Armor
Enterprises are rapidly moving AI workloads from experimentation to production on Google Kubernetes Engine (GKE), using its scalability to serve powerful inference endpoints. However, as these models handle increasingly sensitive data, they introduce unique AI-driven attack vectors — from prompt injection to sensitive data leakage — that traditional firewalls aren’t designed to catch. Prompt injection …
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OpenAI Backs Bill That Would Limit Liability for AI-Enabled Mass Deaths or Financial Disasters
The ChatGPT-maker testified in favor of an Illinois bill that would limit when AI labs can be held liable—even in cases where their products cause “critical harm.”
Compression technique makes AI models leaner and faster while they’re still learning
Training a large artificial intelligence model is expensive, not just in dollars, but in time, energy, and computational resources. Traditionally, obtaining a smaller, faster model either requires training a massive one first and then trimming it down, or training a small one from scratch and accepting weaker performance.