2022-05-11 - M. Tim Jones, Mouser Electronics Inc.

Machine Learning Requires Multiple Steps

Deploying machine learning is a multi-step process. This article discusses the steps and breaks them down for a better understanding…

2022-04-18 - Sally Ward-Foxton

Syntiant Leads TinyML Benchmark Results

Nvidia once again faced down Qualcomm in the data center and edge divisions of MLPerf.

2022-04-13 - BrainChip Holdings Ltd

BrainChip and SiFive Partner to Deploy AI/ML Technology at the Edge

BrainChip and SiFive have combined their respective technologies to offer chip designers optimized AI/ML compute at the edge.

2022-02-09 - Infineon Technologies AG

Infineon and SensiML Enable Sensor Data Capture and ML Models, Announce Design Challenge

Infineon and SensiML are developing an easy and seamless process to capture data from Infineon XENSIV sensors, train ML models,…

2021-12-15 - Sunny Bains

Benchmarking Neuromorphic Computing: Devil Is in the Details

Benchmarking systems that use different interfaces, encodings, technology, and approaches has emerged as a hot topic in neuromorphic engineering over…

2021-12-10 - Sally Ward-Foxton

Edge Impulse Raises $34M, Triples Valuation

The embedded machine learning development platform vendor expects to double its workforce in 2022.

2021-12-09 - STMicroelectronics

STMicroelectronics Enhances Tool for ML Applications Development

NanoEdge AI Studio Version 3 is the first major upgrade of the software tool for machine learning applications that ST…

2021-12-02 - George Leopold

Specification Challenge a Critical Step Toward Greater AI Safety

A report addresses specification as a way to avoid unintended behavior in machine learning systems.

2021-10-22 - Sharan Srinivasan and Brian Tuan, Samsara

Optimizing Connected ML Algorithms

Where to place your machine learning code—in the cloud, on an edge device, or on-premise—always involves tradeoffs. Here are some…

2021-08-12 - STMicroelectronics

STMicroelectronics Expands ML Support in STM32Cube.AI Ecosystem

STMicroelectronics has expanded the variety of ML techniques available to users of the STM32Cube.AI development environment.

2021-07-16 - STMicroelectronics

Qeexo and STMicroelectronics Speed Development of Next-Gen IoT Applications

Qeexo and STMicroelectronics have announced the availability of ST's machine-learning core (MLC) sensors on Qeexo AutoML.

2021-05-20 - STMicroelectronics

STMicroelectronics Acquires Edge AI Software Specialist Cartesiam

STMicroelectronics has reinforced its AI strategy and strengthened its technology portfolio with the acquisition of Cartesiam.