The chemical industry is making significant investments in clean energy technologies, such as green hydrogen, carbon capture and storage, electric heating, and electrochemical processes to reduce ...

Learn what is Linear Regression Cost Function in Machine Learning and how it is used. Linear Regression Cost function in Machine Learning is "error" representation between actual value and model ...

Both models were tuned to perform well on programming tasks ... can maintain "focused effort" across many steps in a workflow, Anthropic says. Meanwhile, Sonnet 4 — designed as a "drop-in ...

Hyundai, BMW and Audi might give us a clue XPeng has teased its next possible Tesla Model 3 Performance and BYD Seal Performance rival, the electric E29 Coupe. According to CarNewsChina, the E29 – the ...

Researchers at Aalto University have developed a new quantum theory of gravity which describes gravity in a way that's compatible with the standard model of particle physics, opening the door to ...

Abstract: In this letter, we propose a bilevel mixed-integer linear programming (BMILP) model for cyber-attack on multiple transmission lines in economic dispatch by injecting false load data. In ...

We introduce ACE-Step, a novel open ... and a lightweight linear transformer. It further leverages MERT and m-hubert to align semantic representations (REPA) during training, enabling rapid ...

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Abstract: This paper aimed at evaluating the application of the genetic programming (GP) model for real-time crash prediction on freeways. Traffic, weather, and crash data used in this paper were ...