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    Breaking News

    Imec, GLOBALFOUNDRIES Announce Breakthrough in AI Chip

    Bringing deep neural network calculations to IoT Edge devices.

    Imec, GLOBALFOUNDRIES Announce Breakthrough in AI Chip
    AnIA test chip mounted on the PCB used for measurement and characterization
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    Printed Electronics Now staff07.10.20
    Imec and GLOBALFOUNDRIES announced a hardware demonstration of a new artificial intelligence chip. 
     
    Based on imec’s Analog in Memory Computing (AiMC) architecture utilizing GF’s 22FDX solution, the new chip is optimized to perform deep neural network calculations on in-memory computing hardware in the analog domain. 
     
    Achieving record-high energy efficiency up to 2,900 TOPS/W, the accelerator is a key enabler for inference-on-the-edge for low-power devices. The privacy, security and latency benefits of this new technology will have an impact on AI applications in a wide range of edge devices, from smart speakers to self-driving vehicles
     
    Since the early days of the digital computer age, the processor has been separated from the memory. 
     
    Operations performed using a large amount of data require a similarly large number of data elements to be retrieved from the memory storage. 
     
    This limitation, known as the von Neumann bottleneck, can overshadow the actual computing time, especially in neural networks – which depend on large vector-matrix multiplications. 
     
    These computations are performed with the precision of a digital computer and require a significant amount of energy. However, neural networks can also achieve accurate results if the vector-matrix multiplications are performed with a lower precision on analog technology.
     
    To address this challenge, imec and its industrial partners in imec’s industrial affiliation machine learning program, including GF, developed a new architecture that eliminates the von Neumann bottleneck by performing analog computation in SRAM cells. 
     
    The resulting Analog Inference Accelerator (AnIA), built on GF’s 22FDX semiconductor platform, has exceptional energy efficiency. Characterization tests demonstrate power efficiency peaking at 2,900 tera operations per second per watt (TOPS/W). 
     
    Pattern recognition in tiny sensors and low-power edge devices, which is typically powered by machine learning in data centers, can now be performed locally on this power-efficient accelerator.
     
    "The successful tape-out of AnIA marks an important step forward toward validation of Analog in Memory Computing (AiMC),” said Diederik Verkest, program director for machine learning at imec. “The reference implementation not only shows that analog in-memory calculations are possible in practice, but also that they achieve an energy efficiency 10 to 100 times better than digital accelerators. In imec’s machine learning program, we tune existing and emerging memory devices to optimize them for analog in-memory computation. These promising results encourage us to further develop this technology, with the ambition to evolve towards 10,000 TOPS/W."
     
    “GlobalFoundries collaborated closely with imec to implement the new AnIA chip using our low-power, high-performance 22FDX platform,” said Hiren Majmudar, vice president of product management for computing and wired infrastructure at GF. “This test chip is a critical step forward in demonstrating to the industry how 22FDX can significantly reduce the power consumption of energy-intensive AI and machine learning applications.”
     
    Looking ahead, GF will include AiMC as a feature able to be implemented on the 22FDX platform for a differentiated solution in the AI market space. GF’s 22FDX employs 22nm FD-SOI technology to deliver outstanding performance at extremely low power, with the ability to operate at 0.5 Volt ultralow-power and 1 pico amp per micron for ultralow standby leakage. 22FDX with the new AiMC feature is in development at GF’s state-of-the-art 300mm production line at Fab 1 in Dresden, Germany.
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    ON Semiconductor President, CEO Keith D. Jackson Retiring May 2021 ON Semiconductor President, CEO Keith D. Jackson Retiring May 2021
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      Ambiq believes that innovation is essential to the advancement of human society.
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      Ynvisible Names Michael Robinson CEO, Jani-Mikael Kuusisto SVP Ventures

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    • Breaking News | Photovoltaics | Research Institutions
      IHSMarkit Reports Top Clean-Tech Trends for 2021

      IHSMarkit Reports Top Clean-Tech Trends for 2021

      Solar surges by 30%, 10 GW milestone for offshore wind among highlights.
      David Savastano, Editor 01.22.21


    • Breaking News | RFID and NFC
      Roadsimple Modernizes Warehouse Ops with Zebra Technologies

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      Roadsimple 'transformed our warehouse from a manual-based operation using pen and paper to a truly modernized one,' said Hao Fang, IT director.
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    • Breaking News | Sensors and Wearables
      Emerson Receives 2021 IoT Breakthrough Award for Analytics Platform of the Year

      Emerson Receives 2021 IoT Breakthrough Award for Analytics Platform of the Year

      Real-time data and analytics are key drivers for optimizing operational performance, asset health and plant safety.
      Printed Electronics Now Staff 01.21.21

    • Breaking News | Graphene, Perovskites and Carbon Nanotubes | Research Institutions
      Graphene Flagship Launches Redesigned Website

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      Site features completely redesigned aesthetic, with emphasis on easy-to-access informative content presented in a simple, clean and visually appealing way.
      Printed Electronics Now staff 01.20.21


    • Breaking News | Flexible and Printed Electronics | Research Institutions | Sensors and Wearables
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      Connected cuddle vest with printed electronics can give hugs from a distance.
      Printed Electronics Now staff 01.19.21

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      Semiconductor industry to grow to $1 trillion in chip sales in the early 2030s, speakers at the Virtual SEMI Industry Strategy Symposium revealed.
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    • Breaking News | Sensors and Wearables
      InnovationLab, Bitquadrat Launch Smart Mattress Cover for Patient Monitoring

      InnovationLab, Bitquadrat Launch Smart Mattress Cover for Patient Monitoring

      Integration of printed pressure sensors and healthcare software enables dramatic risk-reduction in dangerous pressure ulcers.
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    • Breaking News | Research Institutions | Semiconductors and Quantum Dots
      imec: Novel Approach for Improving Gate-stack Reliability

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      Jones Healthcare Group Operating Through Ontario’s New COVID-19 Restrictions

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      Operations 'remain in full compliance with mandates and recommendations from official health organizations and the government.'
      Printed Electronics Now staff 01.18.21

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      Printed Electronics Now staff 01.15.21

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    • Emerson Receives 2021 IoT Breakthrough Award for Analytics Platform of the Year
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