Simplifying the latest STEM breakthroughs for all.
Highlights: New ProMoE framework enhances Mixture-of-Experts (MoE) routing in Diffusion Transformers. Achieves superior performance on ImageNet benchmarks using explicit routing guidance. Introduces two-step routing with conditional and prototypical routing for…
Highlights: Google researchers introduce MetricX‑25 and GemSpanEval for WMT25 Translation Evaluation Shared Task. MetricX‑25 uses an encoder‑only architecture to predict MQM and ESA quality scores with high accuracy. GemSpanEval formulates…
Highlights: SPICE introduces a new self-improving reinforcement learning framework based on corpus grounding. The system alternates between two roles: Challenger and Reasoner, to autonomously generate and solve tasks. Achieves +8.9%…
Highlights: Google submits MetricX-25 and GemSpanEval to the WMT25 Translation Evaluation Shared Task. MetricX-25 improves translation quality prediction using a refined architecture based on Gemma 3. GemSpanEval introduces a generative…
Highlights: New AI paradigm ReCode bridges the gap between high-level planning and low-level action. Developed by a research team led by Zhaoyang Yu and collaborators across multiple institutions. Introduces recursive…
Highlights: Introduces a novel Lookahead Anchoring technique for audio-driven human animation. Solves the long-standing problem of identity drift in autoregressive generation. Enables stable and expressive character motion without separate keyframe…
Highlights: Introduces Multi-Agent Evolve (MAE), a self-improving framework for large language models (LLMs). Uses a trio of agents — Proposer, Solver, and Judge — to co-evolve reasoning abilities without human…
Highlights: Researchers develop an algorithm to overcome coordinate singularities in field-aligned systems. Advances accuracy of gyrokinetic simulations in X-point tokamak configurations. Algorithm enables combined core and scrape-off layer (SOL) analysis…
Highlights: New method ‘Equivariance by Contrast (EbC)’ enables learning equivariant representations directly from unlabeled data. Developed by Tobias Schmidt, Steffen Schneider, and Matthias Bethge, and accepted at NeurIPS 2025. Achieves…
Highlights: Researchers demonstrate that a superradiant neutrino laser cannot exist due to fundamental quantum principles. Emission from fermionic systems scales linearly with the number of atoms (N) rather than quadratically…