Many people have begun experimenting with using machine learning in embedded systems as the two technologies have become more prominent in today’s society. That approach allows for overcoming many of ...
Building on its growing momentum in the market for hybrid transactional/analytical database management systems, Oracle Corp. today added machine learning capabilities ...
Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, ...
Why it’s important not to over-engineer. Equipped with suitable hardware, IDEs, development tools and kits, frameworks, datasets, and open-source models, engineers can develop ML/AI-enabled, ...
Configurable high-bandwidth RISC-V cores with vector units can be made to directly address challenging applications like machine learning, AI, and other cutting-edge spaces. Semidynamics is a European ...
SAN JOSE, Calif.--(BUSINESS WIRE)--Edge Impulse, a leading provider of edge machine learning development tools, today announced it has joined the Amazon Web Services (AWS) Independent Software Vendor ...
STMicroelectronics has claimed the first automotive inertial measurement unit (IMU) with embedded machine learning (ML). The new ASM330LHHX automotive IMU with its ML core enables fast real-time ...
Learn the basics of embedded systems hacking with Arduino, Raspberry Pi & RTOS. Discover GPIO, interrupts, hands-on projects ...
The courses offered in this catalog are a curated collection of learning materials that provide an overview of Industry 4.0. It is designed to provide resources that businesses can use to understand ...
Somdip is the Chief Scientist of Nosh Technologies, an MIT Innovator Under 35 and a Professor of Practice (AI/ML) at the Woxsen University. AI has revolutionized the way industries ...
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