Explore lattice-based zero trust identity verification for AI agents. Secure MCP deployments with quantum-resistant encryption and 4D access control.

Advances in machine learning and shape-memory polymers are enabling engineers to design for mechanical performance first and ...

Scientists at the University of Tokyo have captured something never seen before: a frame-by-frame view of how electron spins ...

Inverted perovskite solar cells offer strong potential for scalable, low-cost solar power, but a hidden interface inside the ...

A new computational method allows modern atomic models to learn from experimental thermodynamic data, according to a ...

Imagine trying to design a key for a lock that is constantly changing its shape. That is the exact challenge we face in ...

A new AI-driven technique spots the telltale Raman signal of liquid-like ion motion—helping scientists rapidly identify materials for next-generation solid-state batteries. All-solid-state batteries ( ...

After a multi-year competition, the U.S. National Institute of Standards and Technology (NIST) selected a suite of algorithms for standardization. For key exchange, the primary choice is the ...

Pune: India will have to trade off autonomy for efficiency if it relies entirely on borrowed algorithms for using artificial intelligence, said former.

The lack of high-resolution structures of the hantavirus glycoprotein tetramer and its lattice organization has limited mechanistic insights into viral assembly and entry. The authors leveraged a ...

A machine learning pipeline identifies low-frequency Raman signatures as reliable indicators of liquid-like ionic conduction ...

This PhD project aims to design and develop the first lattice-based, post-quantum secure swarm attestation scheme. The research will focus on constructing efficient and scalable protocols suitable for ...