Tech Xplore

Compression technique makes AI models leaner and faster while they're still learning

Training a large artificial intelligence model is expensive, not just in dollars, but in time, energy, and computational ...
CNET

Meta Unveils New AI Model Developed by Costly, New Superintelligence Labs

The new model, known as Muse Spark, was created by Meta Superintelligence Labs, a team of expensive AI leaders and developers ...

New framework lets AI agents rewrite their own skills without retraining the underlying model

Memento-Skills lets AI agents rewrite their own skills using reinforcement learning, hitting 80% task success vs. 50% for ...
EurekAlert!

AI model boosts accuracy and reliability in predicting biochar production

Researchers have developed a powerful new artificial intelligence model that can accurately predict biochar yield and composition, helping scientists and industry optimize production while reducing ...
The Lancet

Deep learning on histopathological images to predict breast cancer recurrence risk and chemotherapy benefit: a multicentre, model development and validation study

aTaub Faculty of Computer Science, Technion-Israel Institute of Technology, Haifa, Israel bFaculty of Electrical and Computer Engineering, Technion-Israel Institute of Technology, Haifa, Israel ...
IEEE

An Adaptive deep reinforcement learning Routing Decision Algorithm – Based on ResNet-BiLSTM-ProbSparseAttention and Imitation Learning

Abstract: Wireless Sensor Networks (WSNs) have become an indispensable part of the Internet of Things (IoT). How to balance energy consumption and data transmission to further extend the overall ...
Reuters

Mystery AI model revealed to be Xiaomi's following suspicions it was DeepSeek V4

The release of DeepSeek's low-cost models DeepSeek-V3 and R1 triggered a global tech stock selloff ‌last year, causing investors to question whether U.S. AI firms needed to spend billions of dollars ...
PNAS

DeepDegradome: A structure-aware deep learning framework for PROTAC and ligand generation against protein targets

Targeted protein degradation, particularly using PROTACs, offers a promising strategy to treat diseases. However, designing effective PROTACs remains challenging due to limitations in current ...