AIStorm Introduces Real-Time AI-in-Sensor Solutions for Driver Assistance, Mobile Handsets, Cameras, and IoT

Due to its unique charge-domain processing architecture, AIStorm can
outperform digital GPU-based solutions, delivering edge-ready solutions
at 5x to 10x lower cost; available today are market-ready solutions
optimized for mobile handsets, IoT, and ADAS

BARCELONA, Spain–(BUSINESS WIRE)–(MWC, Hall 1, Stand 1C80 / co-located with Egis Technology) AIStorm,
an innovator of high-performance AI-in-sensor processors, has introduced
a family of semi-custom solutions for mobile handsets, IoT, and advanced
driver-assistance systems (ADAS).

AIStorm CEO David Schie sees a huge opportunity to outperform approaches
that need to digitize sensor data, a step that introduces latency and
the potential to miss important information.

“Many industry players are focused on deep submicron GPU/NPU-based
solutions to accelerate AI at the edge. We believe that such solutions
are not compatible with the real-time processing, power, and low-cost
requirements of these applications,” said Schie. “Today, we are
reshaping the landscape by enabling complete solutions that include a
sensor, an analog front end, and AI processing at low cost, and suitable
for even the smallest form factors — without the need to digitize input
data.”

AIStorm initially targets two huge markets, mobile/wearable and ADAS:

  1. AIStorm IoT Vision / IoT Waveform Solutions: Designed for
    imaging and HID/biometric applications in mobile phones, cameras,
    wearables & IoT applications, AIStorm offers AI-in-sensor solutions
    for tasks such as fingerprint sensing, gesture control, heart
    monitoring and heart-based identification, occupancy sensing, facial
    recognition, voice input, earbud, drone imaging, image stabilization,
    and security and intersection cameras. Custom optics or high CMRR PGA
    solutions are offered integrated with semi-custom variants of
    AIStorm’s high-performance analog AI engines.
  2. AIStorm ADAS Solutions: Designed for advanced driver-assistance
    systems, AIStorm introduces CIS, SPAD / SiPM and SiGe sensors coupled
    to its analog AI engines, which eliminate the need for digitization
    and allow continuous processing of incoming data. These systems
    outperform ADC solutions, which can easily miss or distort incoming
    information and struggle to provide selective real-time data
    harvesting. Solutions at NIR, 1550nm and CIS are offered, as well as
    mirror, biasing, high-voltage driver, image-stabilization, and
    image-processing solutions. Other solutions include gesture control,
    eye-blink monitoring, voice, and wavelet-based failure detection.

Using sensor data directly—without digitization—enables real-time
processing

AI systems require information be available in digital form before they
can process data, however sensor data is analog. Processing this digital
information requires advanced and costly GPU/NPUs that are not suitable
for mobile devices because they require continuous digitization of input
data, which consumes significant power and introduces unavoidable
digitization delay (latency). AIStorm negates these disadvantages by
processing sensor data directly in its native analog form—in real
time—by using charge-domain processing instead of GPU/digital processing.

“As digital AI processing seems to reach its limits, the next generation
of deep-learning systems will require analog AI cores. With our recent
investment in AIStorm, we affirm our belief that the time is right for
embedded analog AI-in-sensor technology, and that AIStorm technology is
the right solution,” said Dr. Avi Strum, SVP/GM of the sensors business
unit of TowerJazz. “The combination of TowerJazz’s rich imaging and
non-imaging sensors technologies with AIStorm’s artificial intelligence
core will provide unique solutions to the industrial, commercial, and
automotive markets.”

About AIStorm

AIStorm is the pioneer and leader in AI-in-sensor processing, which
eliminates the latency, power and cost associated with digital
GPU/NPU-based implementations at the edge. AIStorm is headquartered in
Silicon Valley and led by a team that includes industry veterans
responsible for development of more than a thousand products, as well as
for P&L and significant revenue growth at leading semiconductor
companies. For more information, visit https://aistorm.ai
or email us at solutions@aistorm.ai.

Contacts

Tim Cox, ZingPR for AIStorm
tim@zingpr.com

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