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 +
Sharad Chole, Chief Scientist and Co-founder of Expedera, presents the “Using a Neural Processor for Always-sensing Cameras” tutorial at the May 2023 Embedded Vision Summit. Always-sensing cameras are becoming a common AI-enabled feature of consumer devices, much like the always-listening Siri or Google assistants. They can enable a more natural and seamless user experience, such
“Using a Neural Processor for Always-sensing Cameras,” a Presentation from Expedera Read More +
All neural networks have similar components, including neurons, synapses, weights, biases, and functions. But each network has unique requirements based on the number of operations, weights, and activations that must be processed. This is apparent when comparing popular networks, as shown in the chart below. Still, in the initial wave of edge AI deployments, many
Sometimes Less is More—Introducing the New Origin E1 Edge AI Processor Read More +
This blog post was originally published at Expedera’s website. It is reprinted here with the permission of Expedera. There is a lot more to understanding the capabilities of an AI engine than TOPS per watt. A rather arbitrary measure of the number of operations of an engine per unit of power, this metric completely misses
Measuring NPU Performance Read More +
Sharad Chole, Chief Scientist and Co-founder of Expedera, presents the “Novel Packet-based Accelerator for Resource-Constrained Edge Devices” tutorial at the May 2022 Embedded Vision Summit. As AI applications move from cloud platforms into edge devices, processor designers are increasingly incorporating hardware accelerators for real-time AI processing. These accelerators must meet tight cost, bandwidth and power
In the short time since emerging from stealth mode, Expedera has quickly become known as the Artificial Intelligence (AI) Inference IP company that delivers the best performance per watt and per area. Our Origin product family scales to 128 TOPS and addresses applications from the edge to automotive to the data center and beyond. We’ve
Expedera Hears You: Wearables Need Low Power AI Read More +
Highlights: A global consumer device maker has announced availability of a new product that uses Expedera’s Artificial Intelligence (AI) accelerator Expedera was selected because its IP outperformed alternative solutions to enable on-device 4K video low light denoising Santa Clara, California, March 1, 2022—Expedera Inc, a leading provider of scalable Deep Learning Accelerator (DLA) semiconductor intellectual
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