ACM Human-Computer Interaction Conference (CHI) 2026
Evaluating Netflix Show Synopses with LLM-as-a-Judge
by Gabriela Alessio, Cameron Taylor, and Cameron R. Wolfe Introduction When members log into Netflix, one of the hardest choices is what to watch. The challenge isn’t a lack of options — there are thousands of titles — but finding the most intriguing one is complex and deeply personal. To help, we surface personalized promotional assets, especially the show synopsis — a …
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How SAP Concur automates expense reporting with agentic AI
For decades, expense automation relied on a simple premise: If the machine can read the text, it can do the work. But anyone who has ever tried to scan a crumpled, smudged, or sun-bleached receipt from their pocket knows that reading isn’t enough. When key data is missing, such as a city name or a …
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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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