On Friday, January 29th, MATRIX is pleased to host Matthew Mattina from ARM for our initial spring seminar. Mr. Mattina is the ARM Distinguished Engineer and Senior Director of their Machine Learning Research Lab. He is also a member of the MATRIX advisory board. This seminar will be held via Zoom at the following link. Additional information about the seminar may be found below –

Tiny but powerful: Hardware for High Performance, Low Power Machine Learning

Matthew Mattina

Arm

January 29, 2021, 11 AM – Noon CST

tinyurl.com/MATRIXSpringSeminar

This talk will cover the emerging “tinyml” paradigm and give some tinyml example applications and benchmarks. We’ll look at what makes TinyML particularly challenging, and how neural network models and hardware can be co-designed to meet these challenges.

Speaker Biography:

Matthew Mattina is the Distinguished Engineer and Senior Director of Machine Learning Research at ARM, where he leads a global team of machine learning researchers developing advanced hardware, software, and algorithms. Prior to joining ARM in 2015, Matt was Chief Technology Officer at Tilera, where he was responsible for overall company technology, processor architecture, and strategy. Prior to Tilera, Matt was a CPU architect at Intel and invented and designed the Intel Ring Uncore Architecture. Matt has been granted over 30 patents relating to CPU design, multicore processors, on-chip interconnects, and cache coherence protocols. Matt holds a BS in Computer and Systems Engineering from Rensselaer Polytechnic Institute and an MS in Electrical Engineering from Princeton University.