This blog post was originally published by Opteran Technologies. It is reprinted here with the permission of Opteran Technologies. Last week I had the pleasure of attending, and presenting at, the annual Robotics: Science and Systems (RSS) in Daegu, South Korea. RSS ranks amongst the most prestigious of the international robotics conferences, and brings together […]
Reflections from RSS: Three Reasons DL Fails at Autonomy Read More +
Tom Michiels, System Architect for ARC Processors at Synopsys, presents the “How Transformers Are Changing the Nature of Deep Learning Models” tutorial at the May 2023 Embedded Vision Summit. The neural network models used in embedded real-time applications are evolving quickly. Transformer networks are a deep learning approach that has become dominant for natural language
This blog post was originally published at BrainChip’s website. It is reprinted here with the permission of BrainChip. Scenario: Corporate security staff get an alert that a video camera has detected a former employee entering an off-limits building. Scenario: A radiologist receives a flag that an MRI contains early markers for potentially abnormal tissue growth.
Get a Clearer Picture of Vision Transformers’ Potential at the Edge Read More +
Steve Teig, CEO of Perceive, presents the “Making GANs Much Better, or If at First You Don’t Succeed, Try, Try a GAN” tutorial at the May 2023 Embedded Vision Summit. Generative adversarial networks, or GANs, are widely used to create amazing “fake” images and realistic, synthetic training data. And yet, despite their name, mainstream GANs
Laguna Hills, Calif. – July 19, 2023 – 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, was awarded its latest US patent, further strengthening the company’s neuromorphic technology portfolio and demonstrating the company’s competitive research strength. Patent No. US 11,704,549, “Event-Based
This blog post was originally published at Expedera’s website. It is reprinted here with the permission of Expedera. Choosing the right inference NPU (Neural Processing Unit) is a critical decision for a chip architect. There’s a lot at stake because the AI landscape constantly changes, and the choices will impact overall product cost, performance, and
A Buyers Guide to an NPU Read More +
This blog post was originally published at Expedera’s website. It is reprinted here with the permission of Expedera. Compute-in-memory (CIM) is not necessarily an Artificial Intelligence (AI) solution; rather, it is a memory management solution. CIM could bring advantages to AI processing by speeding up the multiplication operation at the heart of AI model execution.
Can Compute-in-memory Bring New Benefits To Artificial Intelligence Inference? Read More +
Highlights Specialized NPU IP makes it easier for device makers to implement feature-rich, always-sensing camera systems. A dedicated processing solution addresses the power and privacy concerns of always-sensing camera deployments. Santa Clara, California, July 18, 2023—Expedera Inc, a leading provider of scalable Neural Processing Unit (NPU) semiconductor intellectual property (IP), today announced the availability of
Expedera Announces LittleNPU AI Processors for Always-sensing Camera Applications Read More +
Highlights Expedera opens its first European regional engineering development center in the UK The company’s fourth development center focused on edge AI inference with locations in Santa Clara (USA), Bath (UK), Shanghai and Taipei Santa Clara, California, June 27, 2023—Expedera Inc, a leading provider of scalable Neural Processing Unit (NPU) semiconductor intellectual property (IP), today
Expedera Expands Global Footprint with Its First European Development Center Read More +
Highlights: Qualcomm is scheduled to make available Llama 2-based AI implementations on flagship smartphones and PCs starting from 2024 onwards to enable developers to usher in new and exciting generative AI applications using the AI-capabilities of Snapdragon platforms. On-device AI implementation helps to increase user privacy, address security preferences, enhance applications reliability and enable personalization
Qualcomm Works with Meta to Enable On-device AI Applications Using Llama 2 Read More +
Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.
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