RIBA Journal

How are architects are using AI and where will it develop next?

Phil Bernstein and Vincent Guerrero present four areas where AI will develop fast in the architectural profession in 2026, ...

South Korean Femtech Brand Inertia Enters the U.S., Reengineering the Disposable Pad Category From the Inside Out

Founded by Female Scientists, Inertia Introduces Patented Plant-Derived Absorbent Core Technology NEW YORK, NY, UNITED ...
Communications of the ACM

The ‘Matrix’ for Machines

Kamal Mann is a Software Architect with over 22 years of experience in Industry 4.0 systems. He currently advises on edge ...

Indian-origin AI engineer shares how startup role in San Francisco changed his career: We don't work 9-to-5'

A 24-year-old Indian-origin engineer shared how joining an AI startup and moving to San Francisco transformed his career. He described the city’s intense work culture and stressed that continuous ...

Indian-origin techie says joining AI startup in San Francisco transformed his career: 'We work 9-to-9, six days a week'

A 24-year-old Indian-origin AI engineer has shared how joining a startup and moving to San Francisco fast-tracked his career ...
blockchain

NVIDIA cuTile Python Guide Shows 90% cuBLAS Performance for Matrix Ops

NVIDIA releases detailed cuTile Python tutorial for Blackwell GPUs, demonstrating matrix multiplication achieving over 90% of cuBLAS performance with simplified code. NVIDIA has published a ...
GitHub

Problem solving practice for python programing

🚧 This project was built during my early learning phase. I plan to refactor it as I grow. 🤔 Challenges I Faced & Solutions Problem Challenge Solution ...
techxplore

RRAM-based analog computing system rapidly solves matrix equations with high precision

Analog computers are systems that perform computations by manipulating physical quantities such as electrical current, that map math variables, instead of representing information using abstraction ...
IEEE

Analog Matrix Inversion Circuit Design for Solving Tridiagonal Linear Systems: A Compact and Decoupled Approach

Abstract: Recently, analog matrix inversion circuits (INV) have demonstrated significant advantages in solving matrix equations. However, solving large-scale sparse tridiagonal linear systems (TLS) ...