Communications of the ACM

Collective Intelligence Doesn’t Scale, In-Context Collaborative Learning Does

This is where Collective Adaptive Intelligence (CAI) comes in. CAI is a form of collective intelligence in which the ...
IEEE

Deep Reinforcement Learning With Dueling DQN for Partial Computation Offloading and Resource Allocation in Mobile Edge Computing

Abstract: Computation offloading transfers resource-intensive tasks from local Internet of Things (IoT) devices to powerful edge servers, which minimizes latency and reduces the computational load on ...
Scientific Research Publishing

Applying Deep Learning Techniques for Automated Analysis and Interpretation of Financial Statements ()

Multimodal Learning, Deep Learning, Financial Statement Analysis, LSTM, FinBERT, Financial Text Mining, Automated Interpretation, Financial Analytics Share and Cite: Wandwi, G. and Mbekomize, C. (2025 ...
eLife

Deep learning reveals endogenous sterols as allosteric modulators of the GPCR–Gα interface

An AI-driven computational toolkit, Gcoupler, integrates ligand design, statistical modeling, and graph neural networks to predict endogenous metabolites that allosterically modulate the GPCR–Gα ...
EurekAlert!

Making simulations more accurate than ever with deep learning

Future events such as the weather or satellite trajectories are computed in tiny time steps, so the computation must be both efficient and as accurate as possible at each step lest errors pile up. A ...
Yardbarker

Browns dig deep on depth chart for solutions to recent offensive line injuries

If the Cleveland Browns already didn't have enough problems to deal with after a 3-9 start, the team has more issues to handle from the offensive line. Browns head coach Kevin Stefanski gave updates ...
Sports Illustrated

Browns dig deep on depth chart for solutions to recent offensive line injuries

The Cleveland Browns are having to find some hidden gems on the bench with the latest injuries to the offensive line affecting the lineup. If the Cleveland Browns already didn't have enough problems ...
IEEE

Computation-Offloading Optimization for Satellite Edge Computing via Diffusion and Lyapunov-Based Deep Reinforcement Learning

Abstract: Satellite edge computing (SEC) extends the capabilities of edge computing technology to satellite networks, facilitating rapid local processing of global task requirements. Deep ...