Turning uncertainty into a design tool for AI-engineered molecules

While precision seems critical for science, researchers from the U.S. Department of Energy's (DOE) Brookhaven National ...
Scientific Research Publishing

Predicting Stock Price Movements Using Deep Learning Techniques ()

Stock Price Prediction, Deep Learning, LSTM, GRU, Attention Mechanism, Financial Time Series Share and Cite: Kirui, D. (2026) ...
Communications of the ACM

Copiloting the Copilots for Automated Program Repair

Repilot synthesizes a candidate patch through the interaction between an LLM and a completion engine, which prunes away ...
Morning Overview on MSN

Generative AI designs new polymer dielectric that passes lab tests

A research team at Georgia Tech has built what it calls the first generative AI system purpose-built for polymer design, and the models have already produced a new dielectric material that held up ...
Machine Design

Reduce Encoder Cost While Gaining Functionality with 44-Turn Sensors

How to substantially reduce encoder cost while gaining functionality with 44-Turn multi-turn rotary position sensors—retaining count and position during power loss. New technology reduces encoder ...
Tom's Guide

Apple’s M-series chip 5 years later: How ditching Intel revolutionized computing — and what’s next

MacBooks We just tested the MacBook Neo vs MacBook Air M5 — which laptop should you buy?
IEEE

Encoder-Decoder Based Deep Reinforcement Learning for Multi-AUV Assisted Data Collection in UWSNs

Abstract: Reliable and timely data collection poses a significant challenge for underwater wireless sensor networks (UWSNs), primarily due to the extremely low data rate of underwater communication ...
GitHub

Ahmad-211/Neural-Machine-Translation-Urdu-to-Roman-Urdu

This project implements a state-of-the-art Neural Machine Translation (NMT) system that translates Urdu text to Roman Urdu using a sophisticated BiLSTM Encoder-Decoder architecture with Bahdanau ...