machine learning
machine learning

The Fundamentals Of Machine Learning

The main purpose of ML (machine learning) is to create an automatic data model for the purpose of analysis. Thus ML is to create a system that can learn from the data according to the algorithm used. The result can be found by mapping the output to the…

Mining the right transition metals in a vast chemical space

Computational chemists design better ways of discovering and designing materials for energy applications.

New method accelerates data retrieval in huge databases

Researchers used machine learning to build faster and more efficient hash functions, which are a key component of databases.

MIT professor to Congress: “We are at an inflection point” with AI

Aleksander Mądry urges lawmakers to ask rigorous questions about how AI tools are being used by corporations.

Creating a versatile vaccine to take on Covid-19 in its many guises

Aided by machine learning, scientists are working to develop a vaccine that would be effective against all SARS-CoV-2 strains.

New insights into training dynamics of deep classifiers

MIT researchers uncover the structural properties and dynamics of deep classifiers, offering novel explanations for optimization, generalization, and approximation in deep networks.

Adversarial Machine Learning: A Taxonomy and Terminology of … – Computer Security Resource Center

Adversarial Machine Learning: A Taxonomy and Terminology of …  Computer Security Resource Center

NIST Artificial Intelligence (AI) 100-2 E2023 (Draft), Adversarial … – Computer Security Resource Center

NIST Artificial Intelligence (AI) 100-2 E2023 (Draft), Adversarial …  Computer Security Resource Center

Large language models are biased. Can logic help save them?

MIT researchers trained logic-aware language models to reduce harmful stereotypes like gender and racial biases.