Since 2018, Dr. Hechen Wang  has been with Intel Corporation, Hillsboro, OR, USA. He is a Research Scientist at Intel Labs. His research interests cover a broad swath of electrical and electronic engineering disciplines, including RF, analog, mixed signal, and memory IC Design.

Research topics:

1. Compute-in-Memory (CiM), analog/mixed-signal/probabilistic computing for edge artificial intelligence. 

2. Digital frequency synthesizer circuits, data converter, Time-to-Digital Converters (TDC), and DTC.

3. Energy-efficient polar wireline, wireless transceiver architecture and direct modulation schemes.

4. Self-powered self-organized wireless sensor network and integrated energy harvesters for IoT.

EE Times Europe: Could IBM’s AI chip reinvent deep learning inference?, 2023.12.06, Interviewed by Rebecca Pool

NZZ Neue Zürcher Zeitung: Die Zukunft der KI ist analog (The future of AI is analog), 2023.09.09, Interviewed by Andreas Hirstein

SingularityHub: IBM’s brain-inspired analog chip aims to make AI more sustainable, 2023.08.25, Interviewed by Shelly Fan

BITS&CHIPS: Going analog may tame AI’s exploding energy needs, 2023.08.25, Interviewed by Paul van Gerven

IEEE Spectrum: IBM’s AI chip may find use in generative AI, 2023.08.23, Interviewed by Charles Q. Choi

NewScientist: Analogue chips can slash the energy used to run AI models, 2023.08.23, Interviewed by Matthew Sparkes

Chip Galley