COMPANY NEWS AND INFORMATION
“2024 Edge AI Technology Report: Generative AI Edition” Now Available
A deep dive into the convergence of generative AI and edge computing.
Analyst Pierre Ferragu of New Street Research Interviews Syntiant CEO Kurt Busch
Syntiant CEO Kurt Busch talks with Analyst Pierre Ferragu of New Street Research about the company’s recent acquisition of Knowles’ MEMS mic business.
Syntiant to Acquire Knowles’ Consumer MEMS Microphone Division
Syntiant Corp., the recognized leader in low power edge AI deployments, today announced it has signed a definitive agreement to acquire certain assets of Knowles Corporation’s (NYSE: KN) Consumer MEMS Microphones (CMM) business.
Syntiant Introduces Small Language Model Assistant
Ideal for set-top box manufacturers, service providers and other device manufacturers, Syntiant's small language model assistant brings the power of a large language model (LLM) to the edge, while eliminating the need to significantly upgrade or replace existing hardware.
Syntiant Receives Recognition from Department of Defense’s Defense Innovation Unit for its Computer Vision Models and Rapid Retraining Tools
Syntiant Corp., announced it has received a Memorandum of Success from the U.S. Department of Defense’s (DoD) Defense Innovation Unit (DIU) for successfully completing a prototype of a rapidly tunable autonomous sensing capability. Specifically, the company demonstrated compute-efficient AI-based automatic target recognition (ATR) combined with a rapid retraining capability for unmanned vehicles (UxVs) operating in disconnected, denied, intermittent and/or limited (DDIL) communications environments.
ThroughTek and Syntiant to Deliver AI-IoT Cloud Solutions
Syntiant's AI software capabilities will be integrated into ThroughTek’s software development kit (SDK) to create comprehensive solutions that combine ThroughTek’s core connectivity technology, cloud platform services, and Syntiant's audio and video machine learning models.
Syntiant: Overcoming the Challenges of Edge AI
Syntiant CEO Kurt Busch addresses three fundamental challenges for deploying edge AI.
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.
At the Edge: AI performance Cannot be Tiny Anymore (Part 2 of 2)
In the first part of this series, we explored the challenges posed by the current approach to edge AI, such as scalability issues, escalating network and cloud costs, and the limitations of legacy processors. As the demand for smarter, faster, and more secure AI applications grows, it is becoming increasingly clear that edge AI cannot be tiny anymore. In this follow-up, we will discuss the reasons behind this shift and introduce Syntiant’s new NDP250 chip as a prime example of how advanced edge AI processors are addressing these challenges and making Edge AI a reality.
Syntiant Core 2 Achieves Lowest Power Results in MLPerf Tiny v1.2 Benchmark Suite
The Syntiant Core 2 programmable deep learning architecture delivered the lowest power energy performance across three categories in the most recent MLCommons’ MLPerf™ Tiny v1.2 benchmark suite.
