LLMs
Can we make peer review fairer by rating reviewers like chess players? This study simulates a conference where multiple LLM agent reviewers with distinct personas evaluate papers across several rounds, guided by an Area Chair (AC). Researchers compared a baseline setup to versions that add Elo ratings (to track reviewer
AI
AI Agents vs. Memecoin Bots: Smarter Copy Trading Memecoins blew up after the $TRUMP coin craze. Copy trading made it easy to follow smart money, but it’s risky: manipulative bots, flaky KOLs, and execution lag can drain gains. Researchers built an explainable multi-agent AI that works like an asset-management
AI
Finding "the red mug on the top shelf" in a 3D scan isn’t just about matching pixels—it’s about reasoning. Key takeaways * 3D visual grounding = teaching AI to locate an object in a 3D scene from a natural-language description. * Most systems rely on huge, hand-labeled 3D
AI
AI-generated videos often look great frame by frame—but the motion between frames can jitter, drift, or break physics. A new study introduces Motive, a motion-first way to find which training clips actually drive how a model moves. Instead of focusing on static appearance, Motive uses gradient-based influence signals weighted
AI
Renovate, don’t demolish Producing facade proposals that respect existing structures usually requires painstaking as-built modeling. This research shows a faster path: turn a rough sketch and a short text prompt into a photorealistic renovation concept. * Spot changes: a vision–language model reads your sketch and words to mark where
Water
Meet WaterCopilot, an AI assistant co-created by IWMI and Microsoft Research to help manage the Limpopo River Basin. It turns scattered documents and live hydrology feeds into clear, actionable answers. * Unifies policy files, reports, and sensor data in one chat. * Answers with transparent source links you can verify. * Provides live
ReinforcementLearning
Curious how the algorithms that learn to play games can also steer quantum devices? This beginner-friendly tutorial walks you from classical reinforcement learning (RL) basics to quantum RL, showing how these ideas power practical tasks in quantum control. What makes it different: * Plain-English explanations that connect math to intuition. * Step-by-step,
Robocon2025
Teaching Basketball Robots to Know Where They Are At Robocon 2025, split-second positioning can be the difference between a swish and a miss. Naren Medarametla and Sreejon Mondal present a real-time localization framework that helps autonomous basketball robots figure out their spot on the court—using only what they see
AI
AI is shaping what we read and decide. But do large language models carry hidden political leanings? A new study proposes a transparent way to audit political bias: ask models to predict how parliaments voted, then compare those predictions to the real records. * Benchmarks: PoliBiasNL (2,701 Dutch motions; 15
OperationsResearch
Why it matters Utility crews rarely know exactly how long each job will take. This paper blends machine learning and risk-aware optimization to plan daily routes that stay on time—even when jobs run long. Using eight years of gas meter maintenance data, the author trains a gradient-boosted model (XGBoost)
BCI
EEG-based brain–computer interfaces often stumble in the real world: every person’s brain signals look different, and conditions change from moment to moment. A new approach called Backpropagation-Free Transformations (BFT) helps BCIs adapt on the fly—without costly re-training, extra data, or exposing private signals. How it works * For
AI
TL;DR Long-horizon LLM agents fail when one small error snowballs. Task-Decoupled Planning (TDP) breaks big jobs into a DAG of sub-goals, so planning and fixes stay local—making agents both sturdier and cheaper. How it works: * Supervisor decomposes the task into a directed acyclic graph of sub-goals. * Planner and