Abstract: Online sequential extreme learning machine (OS-ELM) and its variants provide a promising way to solve data stream problems, but most of them do not take the timeliness of the problems into ...

A research team led by Kyung Mun Min and Seonghwan Choi of Materials Processing Research Division (Korea Institute of ...

Agentic AI moves beyond chatbots into systems that plan, use tools, and act. Learn key terms, architectures, risks, ...

Cursor Origin git platform launched at Compile alongside a 1.5-trillion-parameter model in training and a new iOS app, as ...

Marc-Uwe Kling wishes readers could dismiss his latest novel as absurd. The Berlin-based author would prefer that the world ...

Ronit Chaodhary, a 21-year-old undergraduate at Newton School of Technology, co-authored the paper “RETROSPECT: ...

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Every LangChain pipeline your team hardcodes starts breaking the moment the query distribution shifts — and it always shifts. That bottleneck is what Sakana AI set out to eliminate. Researchers at ...

SYNTH WEEK 2026: In the late ‘60s, music technology was expensive, unwieldy and mostly out of reach. Synths were the size of refrigerators and access was limited to well-funded studios and successful ...

The deep learning revolution has a curious blind spot: the spreadsheet. While Large Language Models (LLMs) have mastered the nuances of human prose and image generators have conquered the digital ...

Long-term fairness in sequential decision-making is critical yet challenging, as decisions at each time step influence future opportunities and outcomes, potentially exacerbating existing disparities ...