Remi El-Ouazzane: "A Tsunami of TinyML Devices is Coming"
TinyML will become the largest driver of the microcontroller market in the next 10 years, according to Remi El-Ouazzane, the president of STMicroelectronics’ microcontrollers and digital ICs group.
“I really believe this is the beginning of a tsunami wave,” he told EE Times in an exclusive interview. “We’re going to see a tsunami of products coming with ML functionality: It’s only going to increase, and it’s going to attract a lot of attention.”
STMicro has roughly a quarter of the microcontroller (MCU) market today, shipping between five and 10 million STM32 MCUs every day. According to El-Ouazzane, over the next five years, 500 million of those MCUs will be running some form of tinyML or AI workloads.
TinyML, which refers to running AI or machine learning inference on otherwise generic MCUs, “will become the largest endpoint market in the world,” he said.
To read the full article, click here
Related Semiconductor IP
- Multi-channel Ultra Ethernet TSS Transform Engine
- Configurable CPU tailored precisely to your needs
- Ultra high-performance low-power ADC
- HiFi iQ DSP
- CXL 4 Verification IP
Related News
- BrainChip Showcases Vision and Learning Capabilities of its Akida Neural Processing IP and Device at tinyML Summit 2020
- Efinix Releases TinyML Platform for Highly Accelerated AI Workloads on Its Efficient FPGAs
- Is Software and Hardware Ready for TinyML Tsunami?
- Ceva Extends its Smart Edge IP Leadership, Adding New TinyML Optimized NPUs for AIoT Devices to Enable Edge AI Everywhere
Latest News
- ASICLAND Partners with Daegu Metropolitan City to Advance Demonstration and Commercialization of Korean AI Semiconductors
- SEALSQ and Lattice Collaborate to Deliver Unified TPM-FPGA Architecture for Post-Quantum Security
- SEMIFIVE Partners with Niobium to Develop FHE Accelerator, Driving U.S. Market Expansion
- TASKING Delivers Advanced Worst-Case Timing Coupling Analysis and Mitigation for Multicore Designs
- Efficient Computer Raises $60 Million to Advance Energy-Efficient General-Purpose Processors for AI