News-Medical.Net

Flow chemistry, AI, and NMR: A next-gen approach to scalable API production

Discover how AI, flow chemistry, and NMR come together in the PiPAC project to revolutionize scalable and autonomous API ...
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 ...

Ai2's new Olmo 3.1 extends reinforcement learning training for stronger reasoning benchmarks

Ai2 updates its Olmo 3 family of models to Olmo 3.1 following additional extended RL training to boost performance.
Microsoft

Rethinking Machine Learning Collective Communication as a Multi Commodity Flow problem

Cloud operators utilize collective communication optimizers to enhance the efficiency of the single-tenant, centrally managed training clusters they manage. However, current optimizers struggle to ...
IEEE

Improving Floating Offshore Wind Farm Flow Control With Scalable Model-Based Deep Reinforcement Learning

Abstract: This paper proposes a model-based deep reinforcement learning (DRL) framework to maximize the total power output and minimize the fatigue load of a floating offshore wind farm subject to ...
Morning Overview on MSN

AI boosts spacecraft propulsion and may enable nuclear rockets

Artificial intelligence is quietly reshaping how rockets fly, how spacecraft sip propellant and how engineers think about the ...
IEEE

Distributed Traffic Signal Control Model for Accurate Policy Learning Under Dynamic Traffic Flow: A Graph Forecast-State Vector Driven Deep Reinforcement Learning Framework

Abstract: The increasing severity of traffic congestion has driven the application of deep reinforcement learning (DRL) in traffic signal control. It utilizes spatial states to interact with ...