Google's SRL framework provides a step-by-step "curriculum" that makes LLMs more reliable for complex reasoning tasks.

Machine Learning (ML) algorithms have revolutionized various domains by enabling data-driven decision-making and automation.

Marc Watkins directs the AI Institute for Teachers and is an assistant director of academic innovation at the University of Mississippi, where he is a lecturer in writing and rhetoric. When training ...

Compute-Enabled Memory to Accelerate Large-Context LLMs via Sparse Attention” was published by researchers at Cornell ...

The organizations that succeed will be those that place empathy, transparency and fairness at the core of their AI journey.

Abstract: In order to improve the convergence speed of the existing LMS algorithms, a new LMS algorithm with variable step size based on the Swish function is proposed, and the effects of the ...

Abstract: The adaptive algorithm has been widely used in the digital signal processing like channel estimation, channel equalization, echo cancellation, and so on. One of the most important adaptive ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

Currently, users can apply for jobs from the job board, but there is no way for job posters or admins to track these applications from the frontend. Job posters and Admins should be able to see a list ...

You will be redirected to our submission process. Spiking Neural Networks (SNNs) are a cutting-edge approach to artificial intelligence, designed to emulate the brain's architecture and functionality.

Graduate Institute of Environmental Engineering, College of Engineering, National Taiwan University, 71, Chou-Shan Road, Da’an Dist., Taipei 106, Taiwan Graduate Institute of Cancer Biology and Drug ...