COMPANY NEWS AND INFORMATION
Syntiant and Eatron Technologies to introduce AI-powered BMS-on-chip solution
A new system-on-chip, the result of an ongoing collaboration between edge AI leader, Syntiant, and battery management experts, Eatron Technologies.
Analysis of Eatron’s AI-powered Battery Management System on Chip
Eatron Technologies, a leader in battery management solutions, and Syntiant, a pioneer in edge AI technology, have joined hands to create the AI-powered Battery Management System on Chip (AI-BMS-on-chip).
Syntiant’s Latest Edge AI chip adds battery management models
Eatron Technologies is running its battery management algorithms on the latest edge AI system on chip from Syntiant.
Syntiant CEO Kurt Busch Talks Edge AI with Chris Kalaboukis of ‘thinkfuture’
Syntiant’s CEO Kurt Busch is interviewed by Chris Kalaboukis, host of the “Thinkfuture” podcast, about the future of edge AI and its transformative potential. Kurt also sheds light on how Syntiant’s pioneering technology is propelling artificial intelligence to the forefront of edge devices, delivering unparalleled benefits like reduced latency, enhanced power efficiency and increased privacy.
TDK InvenSense Low-Power T5838 MEMS Microphones Selected for Edge AI Development Kit
The latest low-power T5838 and T5837 digital PDM MEMS microphones, part of the TDK InvenSense SmartSound family, have been elected by Syntiant as a microphone of choice for low-power edge AI application processors that perform keyword detection.
Bringing AI Edge Solutions to Market: Challenges and Solutions
Industry research firm Gartner explores how companies can successfully deploy edge AI. According to the report, edge devices are beginning to use AI as a tool to enable more capable and intelligent functions. Device designers and manufacturers must decide where the AI computation will occur. AI inference can occur in the cloud, at the edge infrastructure, or on the edge system itself. The decision of where the AI compute will reside depends on many factors, including the complexity of the AI inference, data security, privacy, latency requirements, connectivity, the power envelope, and physical limitations of the device.
Neural Chip Plays Doom Using a Thousandth of a Watt
Watch the NDP200 play doom. Syntiant's NDP200 is an ultra-low power chip for neural networks. It is primarily used to monitor video and audio to trigger events that other systems will react to. The NDP200 can run at up to 100 MHz and even has 26 GPIO pins, just like the original Raspberry Pi.
ISSCC 2023: The processors that the IEEE wanted to hear about
The Syntiant NDP200 processor was featured during ISSCC 2023. Designed for local (no cloud connection) image processing, power consumption was the key design parameter in the NDP200 , prompting an at-memory architecture (Syntiant Core 2) to minimise the energy-sapping movement of data during inferencing.