From AI researchers to programmers, inventors to open-source advocates, these remarkable individuals bettered the world ...
Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.
Morning Overview on MSNOpinion
Russia’s 72-qubit quantum test hits 94% accuracy on 2-qubit ops
Russia has quietly vaulted into the front rank of quantum powers with a neutral-atom machine that combines a 72-qubit scale ...
After 32 years of waiting, mathematicians calculate Dedekind's ninth number, a 42-digit giant that defied logic.
The production of too many useful things results in too many useless people.” That was Karl Marx, but it could as easily have ...
Australian Hugh Williams ran Google Maps and invented the tech behind “doomscrolling”. His take on the AI future is ...
In 2025, Anthropic will grow from $1 billion to $9 billion in ARR (annual recurring revenue). OpenAI, meanwhile, will go from ...
Prof Raj Shree Dhar dharrajshree@gmail.com Elevate mathematics as reasoning tool and thinking skill, not just rote formulas.
Designers are utilizing an array of programmable or configurable ICs to keep pace with rapidly changing technology and AI.
Ling, A. and Pandya, N. (2025) Quantum Computing and Quantum Sensing: A Pedagogical Introduction to Emerging Quantum Technologies. Journal of Applied Mathematics and Physics, 13, 4341-4354. doi: ...
Morning Overview on MSN
MIT finds a new way to pack more transistors on a chip
For decades, chipmakers have squeezed more computing power out of silicon by shrinking transistors, but that strategy is running into hard physical limits. A new approach from MIT aims to sidestep ...
Worse, the most recent CERN implementation of the FPGA-Based Level-1 Trigger planned for the 2026-2036 decade is a 650 kW system containing an incredibly high number of transistor, 20 trillion in all, ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results