CNET

Brain-Inspired Algorithms Could Dramatically Cut AI Energy Use

Inspired by how our brains function, the AI algorithms referred to in the paper are known as spiking neural networks. A ...
Tech Xplore

How brain-inspired algorithms could drive down AI energy costs

In a study published in Frontiers in Science, scientists from Purdue University and the Georgia Institute of Technology ...

Making lighter work of calculating fluid and heat flow

Scientists from Tokyo Metropolitan University have re-engineered the popular Lattice-Boltzmann Method (LBM) for simulating ...

Microsoft will finally kill obsolete cipher that has wreaked decades of havoc

Microsoft is killing off an obsolete and vulnerable encryption cipher that Windows has supported by default for 26 years ...
IEEE

A Delta Operator State Estimation Algorithm for Discrete-Time Systems With State Time-Delay

Abstract: This letter presents a state estimation algorithm for linear discrete-time systems with state-delay. In order to overcome the difficulty that the traditional Kalman filter cannot estimate ...
IEEE

Challenges for Lane Sensing and Tracking Algorithms of the Automated Driving Support System

Abstract: Lane Recognition is a vital technology for the safe and effective navigations, and it plays a very important role in the development of an self-driving cars. Conventional lane recognition ...