Research & Innovation

Global: New Study Proposes Lightweight Random Forest Model for Accurate Low-Congestion Travel-Time EstimationA recent study published on arXiv on January 12, 2026 introduces a lightweight estimator designed to predict car…

Global: New Rotation-Based Technique Reduces Weight Outliers for Post-Training QuantizationA team of researchers—Advait Gadhikar, Riccardo Grazzi, and James Hensman—presented a method called OptRot that targets weight outliers in large language…

Global: Researchers develop shared latent space for LLM collaborationNew preprint outlines a high‑bandwidth communication channel for large language modelsOn January 4, 2026, a team of five authors—including Lucio M. Dery…

Global: Bayesian Neural Network Surrogates Accelerate Bridge Structural AssessmentsA recent arXiv preprint introduces a Bayesian neural network (BNN) framework designed to streamline the pre‑assessment of aging bridge infrastructure. The study,…

Global: New Framework L2CU Enhances Human‑AI Classification with Unseen Users A team of machine learning researchers announced a new framework called L2CU on Jan 3, 2026, aiming to improve cooperative…

Global: Difficulty-Adaptive Slow Thinking Model Reduces Overthinking in Chain-of-Thought ReasoningResearchers announced a new framework called Difficulty-Adaptive Slow Thinking (DAST) in March 2025 via an arXiv preprint (arXiv:2503.04472v3). The system enables…

Global: Large-Scale Stress Test Reveals Tree-Based Classifiers Achieve 99.99% Accuracy on Structured Math DataResearchers conducted an unprecedented stress test of machine‑learning systems using structured mathematical data as a benchmark. The…

Global: New Decomposition Framework for Stochastic Differential EquationsOn January 12, 2026, researcher Samuel Duffield submitted a paper to the arXiv preprint server that proposes a novel decomposition of stochastic differential…

Global: Chunked FFT Convolution Extends FPGA Sequence Lengths to 450KResearchers from the University of California, Los Angeles have demonstrated a method that allows field‑programmable gate arrays (FPGAs) with limited on‑chip…

Global: Exact Linear-System Solver Enables Linear-Time Hessian Inversion for Deep NetworksAlgorithm OverviewResearchers have unveiled an exact algorithm for solving linear systems involving the Hessian of deep neural networks, announced in…