• Semiwiki

    Many startups set out with the goal of accomplishing a technical feat that was previously considered impossible. Quite frankly most do not succeed. Yet, occasionally a company comes along that succeeds with a game changing breakthrough. ETA Compute has done just this. Yet, even more impressively, this 3-year-old company has done more than just develop one “impossible” technological achievement, they have developed two.

  • Linley Group

    Riding the AI-in-IoT wave, Eta Compute has developed an SoC that combines an MCU with a DSP for machine learning. The ultra-low-power Tensai chip is well suited to battery-operated systems, including those that require continuous (always-on) processing. The startup completes its solution with optimized neural-network software for machine learning. It expects Tensai to enter production early next year.

  • Embedded Computing

    The world is moving toward a smart and distributed computing model of interacting devices. Intelligence in these devices will be driven by machine learning algorithms. Yet, extending machine learning to the edge is not without its challenges. This paper will discuss the landscape of these challenges and then describe how neuromorphic – brain-inspired – computing will enable a wide range of intelligent applications that address these challenges. Examples of this technology including handwriting recognition and continuous speech recognition are provided.

  • Electronic Design

    From self-driving cars to the industrial Internet of Things, neural networks are reshaping the problem-solving methods of developers. William Wong | Jun 29, 2018