Every summer, I teach an introductory machine learning course in an international summer program. This year, the class ...

The future of AI isn't just GPUs and NPUs. New CPUs from Arm, Intel, and AMD are bringing AI acceleration to next-gen phones and PCs.

The mathematics of humanoid robot walking revolves around balancing dynamics using the center of mass (CoM), kinematic ...

Thermodynamic computing crossed a credibility threshold this week as peer-reviewed papers from Lawrence Berkeley National Laboratory and Extropic-MIT project AI energy efficiency gains of up to 100 ...

Explore the 10 best generative AI courses to take in 2026, with options for hands-on training, certifications, and practical ...

These are my go-to libraries for Python data crunching.

An inverse matrix is a matrix that, when multiplied with the original matrix, results in the identity matrix. In AI and ML, inverse matrices are crucial for solving systems of linear equations, which ...

Linear algebra operations in quantitative finance start with vectors representing asset returns, prices, or risk factors. NumPy provides efficient tools for vector calculations essential in portfolio ...

Recently, a technique called equality saturation adapted e-graphs for program optimization. Equality saturation can ...

A personal laptop running open-source software has matched the outputs of D-Wave Systems' 5,000-qubit Advantage2 quantum ...

This course gives a thorough introduction to linear algebra with emphasis on vector spaces, linear maps, spectral theory, orthogonality and applications of this theory. MATLAB is used for ...

This course gives an introduction to the theory of functions of several variables with emphasis on continuity, differentiation, integration, and interative, numerical methods. MAT1110 is a natural ...