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Are JWST's early, overmassive black holes just normal-range outliers?
Are JWST's early, overmassive black holes just normal-range outliers? Sadie Harley Scientific Editor Andrew Zinin Lead Editor Ever since the JWST revealed a population of SMBH in the early universe that were overmassive, scientists have been working hard to explain them. These black holes existed when the universe was only about 2 billion years old, during Cosmic Noon, and according to our models of black hole growth, there simply wasn't enough time for them to grow so massive.
Black hole feeding bursts may explain JWST's Little Red Dots in early universe
June 8, 2026 report Black hole feeding bursts may explain JWST's Little Red Dots in early universe Shreejaya Karantha Author Sadie Harley Scientific Editor Robert Egan Associate Editor A new theoretical study may have cracked one of the most puzzling discoveries of the James Webb Space Telescope (JWST): Little Red Dots, spotted across the early universe. The paper, posted to the arXiv preprint server on May 29, argues that these objects could be black holes caught in rare, violent bursts of...
Britain's oldest cave art may have been rediscovered in Bacon Hole cave
June 2, 2026 report Britain's oldest cave art may have been rediscovered in Bacon Hole cave Paul Arnold Author Gaby Clark Scientific Editor Robert Egan Associate Editor The oldest cave art in Britain may have been discovered, or more likely rediscovered, in a cave on the Gower Peninsula in South Wales, possibly dating back around 17,000 years. The red stripe markings on the walls of a cave called Bacon Hole were first spotted in 1912. They were hailed by their finders, Professor William...
LLM-Based Porting of Optimized C++ to CUDA Through Deoptimization and Reoptimization
arXiv:2606.06063v1 Announce Type: new Abstract: When porting high-performance computing (HPC) code from CPU to GPU, CPU-oriented optimizations may obstruct LLM-based CUDA translation. We design and evaluate a Deopt-Reopt workflow that first simplifies the input C++ code and then retranslates and reoptimizes it for CUDA, comparing it against direct translation (Direct) on twelve HPC kernels with two LLMs (gpt-oss-120b (O120) and qwen-3-235b-a22b-instruct-2507 (Q235)) in Single-shot (one pass)...
How Much Capacity Does EEG Denoising Need? Ultra-Compact Networks reveal Benchmark Saturation and Metric-Utility Gap
arXiv:2606.08594v1 Announce Type: new Abstract: Deep learning EEG denoising architectures have scaled from tens of thousands to tens of millions of parameters, yet no prior study has isolated model capacity as the experimental variable or tested whether reconstruction metrics predict downstream neural-signal utility. We address both gaps by fixing architecture, loss, data split, and training recipe while sweeping only channel width from 1.05K to 40.26K parameters in a minimal...
Spatial Artifact Coherence Determines Codec Robustness in Patch-Based rPPG
arXiv:2606.04198v1 Announce Type: new Abstract: Remote photoplethysmography (rPPG) achieves low heart-rate error on uncompressed benchmarks yet is deployed over compressed video channels in telehealth, neonatal ICU, and driver fatigue applications. No prior work identifies the physical quantity determining when spatial decomposition outperforms global-projection methods under codec compression. We propose Spatial Artifact Coherence (SAC), defined as the ratio of off-diagonal to diagonal...
Bayesian Spectral Emotion Transition Discovery from Multi-Annotator Disagreement
arXiv:2606.01906v1 Announce Type: new Abstract: Emotions evolve through the dynamics of conversation, and understanding their transition structure is foundational to applications ranging from mental-health screening to dialogue systems. However, existing studies typically compress multi-rater judgments into a single hard label by majority voting, discarding the uncertainty signal needed to understand turn-to-turn transitions. In this article, we propose Bayesian Spectral Emotion Transition...