Abstract: This paper presents a heterogeneous microprocessor for low-energy sensor-inference applications. Hardware acceleration has shown to enable substantial energy-efficiency and throughput gains, ...

We are currently looking for a student for a 6-month internship to develop and prototype a new machine learning and computer vision system that will be used to debug and categorize IC field failures .

Animals on the Earth have evolved to counteract the effect of gravity, negotiate terrestrial ground, and locomote more efficiently for predation and survival. Locomotion is thus one of the fundamental ...

Abstract: In this paper, we propose an in-node microprocessor-based vehicle classification approach to analyze and determine the types of vehicles passing over a 3-axis magnetometer sensor. Our ...

Netherlands-based microprocessor maker Innatera Nanosystems B.V. said it closed an oversubscribed $21 million Series A funding round, which included a $16 million investment the company announced in ...

A new family of microcontrollers optimized for machine learning (ML) applications at the edge claims to enable real-time command and response, eliminating the need for cloud connections while ...

This year, Distributed Control System (DCS) technology marks 30 years since the first TDC-2000 beta-types were installed at Exxon s Sarnia, Ontario refinery, Kennecott s Garfield, Utah copper smelter, ...

SSCMA provides a user-friendly platform that allows users to easily perform training on collected data, and to better understand the performance of algorithms through visualizations generated during ...