Keep AI focused with summarization that condenses threads and drops noise, improving coding help and speeding up replies on ...
Introduction: Why Data Quality Is Harder Than Ever Data quality has always been important, but in today’s world of ...
Deep Learning Methods, GNN Model, Community Service Work, China and USA, Neural Networks Share and Cite: Liu, J.X. (2026) A Comparative Study of Community Service Work between China and the United ...
In an RL-based control system, the turbine (or wind farm) controller is realized as an agent that observes the state of the ...
5don MSN
THz spectroscopy system bypasses long-standing tradeoff between spectral and spatial resolution
Terahertz (THz) radiation, which occupies the frequency band between microwaves and infrared light, is essential in many next ...
The procedure is based around dynamic optical contrast microscopy (DOCI), a technique in development at UCLA since 2016. It ...
Control engineering plays a pivotal role in understanding and designing systems ranging from biological feedback loops to ...
Fruchter, G. (2026) Opportunism in Supply Chain Recommendations: A Dynamic Optimization Approach. Modern Economy, 17, 26-38.
Tech Xplore on MSN
One image is all robots need to find their way
While the capabilities of robots have improved significantly over the past decades, they are not always able to reliably and ...
Databricks says Instructed Retriever outperforms RAG and could move AI pilots to production faster, but analysts warn it ...
How catalysts and enzymes are becoming one of the most powerful and least visible forces in low-carbon manufacturing.
Trends such as industry-specific AI and a new data economy will affect physical AI in 2026, says a Universal Robots executive.
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