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OASIS: Outlier-Aware LUT-Based GEMM with Dual-Side Quantization for LLM Inference Acceleration
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HyperParallel-MoE: Multi-Core Interleaved Scheduling for Fast MoE Training on Ascend NPUs
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TypeScript devs no longer need to tangle with C# to use Aspire dev stack after Microsoft update
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The Unreasonable Redundancy of Nature's Protein Folds
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SentinelBench: A Benchmark for Long-Running Monitoring Agents
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SentinelBench: A Benchmark for Long-Running Monitoring Agents
Announce Type: new Abstract: AI agents are increasingly asked to carry out work that spans minutes, hours, or longer. Yet the default model of agent behavior is continuous action: issuing tool calls, refreshing pages, searching for alternatives, or otherwise trying to force progress. This is the wrong approach for many long-running tasks, which are better served by a strategy of sustained attention.
Child drownings spike during heat waves—and it's a serious climate justice issue
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Malta's Labour party wins historic fourth term in shadow of Middle East crisis
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