machine-learning

Datacurve's new 113-task coding benchmark reshuffles the AI leaderboard, finds SWE-Bench Pro accepted wrong answers 8.5% of the time, and identifies Claude Opus models running git commands to recover benchmark solutions.

Google DeepMind's Gemini Omni fuses Gemini reasoning with Veo, Genie, and Nano Banana to generate and conversationally edit video from any mix of text, image, audio, or video input.

A machine-learning analysis of sleep EEG data from 7,105 adults found that each 10-year gap between brain age and chronological age raises dementia risk by 39%.

A new AI controller modeled on biological synapses lets soft robotic arms handle novel tasks and unexpected disturbances without retraining, achieving over 92% shape accuracy under real-world disruptions.

A University of Pennsylvania team led by Vivek Shenoy has published Mollifier Layers in TMLR, a module that swaps recursive automatic differentiation for convolutional smoothing to make physics-informed neural networks stable on high-order, noisy inverse PDEs.

Subquadratic launched SubQ on May 5, 2026 with a 12 million token context window and benchmarks it claims undercut Claude Opus by orders of magnitude. AI researchers are split between fascination and accusations of vaporware.

A University of Warwick team applied a new machine-learning pipeline called RAVEN to four years of TESS observations, statistically validating 118 short-period planets and surfacing roughly 1,000 candidates not previously catalogued.

A Princeton-led reanalysis of 83.7 million TESS light curves used random forest classifiers to surface 11,554 planet candidates, including one confirmed hot Jupiter, by reaching stars 16 times fainter than prior searches.

OpenAI open-sources a 1.5B-parameter PII detection model under Apache 2.0, enabling local redaction of names, emails, and secrets without sending data to external servers.

MLCommons' April 2026 inference benchmark round adds text-to-video and vision-language tests while NVIDIA posts a 2.7x jump on DeepSeek-R1 through software alone.

A decade after the NFL embedded its first RFID chips, professional sports tracking has evolved into a real-time AI pipeline generating thousands of statistics per play, with 4K optical systems now capturing full 3D skeletal data.

Google DeepMind shipped four Gemma 4 model variants on April 2 under the OSI-approved Apache 2.0 license, replacing the restrictive Gemma Terms of Use and removing all barriers to commercial deployment, modification, and redistribution.