Associated tags: Socs, ADR, Internet of things, Electronics, BRN, Learning, IP, Privacy, Essential, OTCQX, BrainChip, Brain, ASX, Artificial Intelligence, Hardware, Software, Semiconductor, AI, Medical device, Networks
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3D printing He joins BrainChip CMO, Nandan Nayampally, to discuss the fields of AI and robotics.
Key Points:
- He joins BrainChip CMO, Nandan Nayampally, to discuss the fields of AI and robotics.
- The podcast will be available June 20 at 3 p.m. PDT on BrainChip’s website and across popular podcast platforms.
- With more than three decades of experience in the field, Dr. Sukhatme is the co-director of the USC Robotics Research Laboratory and is the director of the USC Robotic Embedded Systems Laboratory, which he founded in 2000.
- He is a recognized expert in the fields of networked robots, learning robots and field robotics.
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Akida BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), the world’s first commercial producer of ultra-low power, fully digital, event-based, neuromorphic AI IP, will present at the CVPR 2023 Workshop on Event-Based Vision as part of the IEEE Conference on Computer Vision and Pattern Recognition June 18-22 at the Vancouver Convention Center.
Key Points:
- BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), the world’s first commercial producer of ultra-low power, fully digital, event-based, neuromorphic AI IP, will present at the CVPR 2023 Workshop on Event-Based Vision as part of the IEEE Conference on Computer Vision and Pattern Recognition June 18-22 at the Vancouver Convention Center.
- The fourth international workshop on event-based vision is dedicated to event-based cameras, smart cameras and algorithms processing data from these sensors.
- BrainChip CMO Nandan Nayampally will present “Enabling Ultra-Low Power Edge Inference and On-Device Learning with Akida” as part of the workshop June 19 at 4 p.m. PDT.
- The session will feature the challenge, approach, delivery, and results of edge AI on-chip event-based processing and learning.
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Television TENNs are extremely effective in accelerating 3D and 1D time series applications including video, vision, audio, and vital signs in healthcare to name a few.
Key Points:
- TENNs are extremely effective in accelerating 3D and 1D time series applications including video, vision, audio, and vital signs in healthcare to name a few.
- The paper, “Temporal Event-based Neural Networks: A new approach to Temporal Processing,” shows how TENNs enable intelligent, energy-efficient edge solutions and details how BrainChip’s 2nd Generation Akida™ IP platform supports this innovation.
- TENNs provide radical, innovative ways to reduce complexity, size, and compute requirements, while still delivering the accuracy expected for the desired, intelligent, responsive experience at the edge.
- “While CNNs have long been the backbone of image classification in AI and ML, they are not as efficient in handling spatiotemporal data and applications such as video object detection from video streams, and Time series data, thereby limiting its usage in cost-effective, thermally constrained edge devices,” said Anil Mankar, co-founder and CDO at BrainChip.
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BrainChip BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), a global leader in neuromorphic artificial intelligence (AI) IP, and Lorser Industries Inc. , a leading provider of system-level manufacturing and integration, announced today the companies will use BrainChip’s Akida™ technology to deliver neuromorphic computing solutions for software-defined radio (SDR) devices.
Key Points:
- BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), a global leader in neuromorphic artificial intelligence (AI) IP, and Lorser Industries Inc. , a leading provider of system-level manufacturing and integration, announced today the companies will use BrainChip’s Akida™ technology to deliver neuromorphic computing solutions for software-defined radio (SDR) devices.
- The partnership will leverage Lorser’s expertise in SDR design and manufacturing and BrainChip’s cutting-edge neuromorphic technology to create innovative, intelligent solutions that enhance the adaptability, reliability, and scale of SDR devices.
- In addition to sending and receiving shortwave and broadcast radio worldwide, SDR is an asset in astronomy, aerospace, geography, oceanography, navigation, and logistics.
- “We believe that neuromorphic computing is the future of AI/ML, and an SDR with neuromorphic AI/ML capability will offer users significantly more functionality, flexibility, and efficiency,” said Diane Serban, CEO of Lorser Industries.
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Nursing BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), the world’s first commercial producer of ultra-low power, fully digital, event-based, neuromorphic AI IP, today announced that University of Oklahoma (OU) has joined the University AI Accelerator Program to ensure students have the tools and resources needed to encourage development of cutting-edge technologies that will continue to usher in an era of essential AI solutions.
Key Points:
- BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), the world’s first commercial producer of ultra-low power, fully digital, event-based, neuromorphic AI IP, today announced that University of Oklahoma (OU) has joined the University AI Accelerator Program to ensure students have the tools and resources needed to encourage development of cutting-edge technologies that will continue to usher in an era of essential AI solutions.
- BrainChip’s University AI Accelerator Program provides hardware, training, and guidance to students at higher education institutions with existing AI engineering programs.
- With Oklahoma being the home of the National Weather Service, this skill set will be especially important in applying sustainable and efficient AI to this increasingly important sector.”
OU joins current participants Arizona State University, Carnegie Mellon University and Rochester Institute of Technology in the accelerator program.
- Other institutions of higher education interested in how they can become members of BrainChip’s University AI Accelerator Program can find more details at https://brainchip.com/brainchip-university-ai-accelerator/ .
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Ecosystem BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), the world’s first commercial producer of ultra-low power, fully digital, event-based, neuromorphic AI IP, and CVEDIA, a leading provider of AI-based video analytics solutions, have entered into a partnership to advance the state-of-the-art in Edge AI and neuromorphic computing.
Key Points:
- BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), the world’s first commercial producer of ultra-low power, fully digital, event-based, neuromorphic AI IP, and CVEDIA, a leading provider of AI-based video analytics solutions, have entered into a partnership to advance the state-of-the-art in Edge AI and neuromorphic computing.
- The focus of the partnership will be on the integration of the CVEDIA-RT platform for video analytics running on BrainChip’s Akida™ neuromorphic IP.
- This addresses some of the most challenging problems in edge AI, such as perception, cognition, security and privacy.
- “We’re excited to partner with BrainChip to bring the benefits of CVEDIA-RT’s analytics to Akida enabled Edge AI devices enabling developers to scale much faster without needing the cloud,” said Arjan Wijnveen, CEO of CVEDIA.
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Ecosystem This year’s challenge, in partnership with the City of San Jose’s Vision Zero program, is to develop a Tiny ML-based solution to detect pedestrians and others.
Key Points:
- This year’s challenge, in partnership with the City of San Jose’s Vision Zero program, is to develop a Tiny ML-based solution to detect pedestrians and others.
- “We look forward to providing developers with guidance on utilizing BrainChip IP to create compelling solutions for the tinyML Hackathon Challenge,” said Rob Telson, BrainChip Vice President of Ecosystem and Partnerships.
- We’re excited to help make roads and travel safer for everyone.”
The tinyML Hackathon runs May 19-September 15.
- To register for BrainChip’s webinar, interested parties can visit https://us02web.zoom.us/webinar/register/3916833274949/WN_2f8BOyaYTS2yFn...
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Electronics 517 at the Embedded Vision Summit in the Santa Clara Convention Center May 22-24.
Key Points:
- 517 at the Embedded Vision Summit in the Santa Clara Convention Center May 22-24.
- “We look forward to supporting their future customers with the rapid adoption of BrainChip’s Akida as a key differentiator for their edge AI product offerings.
- The Embedded Vision Summit is the perfect venue to showcase how our joint efforts will bring tremendous advancements to the AI and ML markets.”
The Embedded Vision Summit attracts a global audience of technology professionals from companies developing computer vision and edge AI-enabled products including embedded systems, cloud solutions and mobile applications.
- To schedule an appointment with BrainChip or Teksun executives during the Embedded Vision Summit, interested parties are encouraged to email [email protected] .
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BrainChip BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), the world’s first commercial producer of ultra-low power, fully digital, event-based, neuromorphic AI IP, announced today Quantum Ventura Inc ., a San Jose-based provider of AI/ML research and technologies, will use BrainChip’s Akida™ technology to develop new cyber threat-detection tools.
Key Points:
- BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), the world’s first commercial producer of ultra-low power, fully digital, event-based, neuromorphic AI IP, announced today Quantum Ventura Inc ., a San Jose-based provider of AI/ML research and technologies, will use BrainChip’s Akida™ technology to develop new cyber threat-detection tools.
- In this federally funded phase 2 program, Quantum Ventura is creating state-of-the art cybersecurity applications for the U.S. Department of Energy under the Small Business Innovation Research (SBIR) Program.
- The program is focused on “Cyber threat-detection using neuromorphic computing,” which aims to develop an advanced approach to detect and prevent cyberattacks on computer networks and critical infrastructure using brain-inspired artificial intelligence.
- “We are excited about the progress that Quantum Ventura are making with BrainChip in this project which is extremely vital to the safety of the nation’s infrastructure.”
The Akida neural processor and AI IP can find unknown, repeating patterns in vast amounts of noisy data, which is an asset in cyber threat detection.
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Medical device The Embedded Vision Summit attracts a global audience of technology professionals from companies developing computer vision and edge AI-enabled products including embedded systems, cloud solutions and mobile applications.
Key Points:
- The Embedded Vision Summit attracts a global audience of technology professionals from companies developing computer vision and edge AI-enabled products including embedded systems, cloud solutions and mobile applications.
- “It is critical to make Edge AI devices more intelligent to realize the promise of a trillion-dollar AIoT market,” said Nayampally.
- Akida’s neuromorphic architecture delivers high performance with extreme energy efficiency that enables partners to deliver AI solutions previously not possible on battery-operated or fan-less embedded, edge devices.
- To schedule an appointment with BrainChip during the Embedded Vision Summit, email [email protected] .
