The 4th International Conference on Paradigm Shifts in Communication, Embedded Systems, Machine Learning, and Signal ...

Machine Learning (ML) algorithms have revolutionized various domains by enabling data-driven decision-making and automation.

NXP Semiconductors N.V. (NASDAQ:NXPI) announced a comprehensive, easy-to-use machine learning (ML) environment for building innovative applications with cutting-edge capabilities. Customers can now ...

Large semiconductor suppliers have started acquiring machine learning (ML) software houses in a bid to bolster their artificial intelligence (AI) offerings for embedded systems, and the latest ...

The Information Processing and Machine Learning Laboratory (IPML) supports research in theoretical algorithm development in digital signal processing, adaptive and nonlinear signal processing, machine ...

BrainChip Holdings has announced the AKD1500 co-processor capable of delivering up to 800 giga operations per second (GOPS) while operating below 300 milliwatts, providing a power-efficient solution ...

In recent years, the intersection of artificial intelligence (AI), machine learning (ML), and acoustic signal processing has emerged as a rapidly advancing field, offering new ways to analyze, ...

Two new high-performance microcontroller groups have been introduced to support compute-intensive embedded applications in ...

SAN JOSE, Calif.--(BUSINESS WIRE)--SiMa.ai, the machine learning company enabling effortless deployment and scaling at the embedded edge, today announced that it has begun shipping the industry’s ...

What are spiking neural networks (SNNs)? Why neuromorphic computing is important. How BrainChip’s Akida platform brings neuromorphic computing to embedded applications. Artificial intelligence and ...

Building on its growing momentum in the market for hybrid transactional/analytical database management systems, Oracle Corp. today added machine learning capabilities ...