Hailo develops a breakthrough processor chip based on a disruptive proprietary technology for deep learning applications, enabling edge devices running deep learning applications at full scale more efficiently, effectively, and sustainably than traditional solutions, with lower costs. Key disadvantages exist in the current architecture of the embedded processing infrastructure, designed based on a 70-year-old underlying structure. Hailo addresses these issues with its holistic solution, which completely rethinks the existing pillars of computer architecture – memory, control, and compute – and incorporates a key, comprehensive SDK co-developed with the hardware.
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“Emerging Processor Architectures for Deep Learning: Options and Trade-offs,” a Presentation from Hailo
Orr Danon, CEO of Hailo, presents the "Emerging Processor Architectures for Deep Learning: Options and Trade-offs" tutorial at the May 2019 Embedded Vision Summit. In the past year, numerous new processor architectures for machine learning have emerged. Many of these focus on edge applications, reflecting the growing demand for deploying machine learning outside of data …