Machine Learning

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Generative AI in the data center

Could Sagence AI’s Analog Inferencing for GenAI be NVIDIA’s Downfall?

LiDAR in autonomous driving

The Critical Role of LiDAR Sensors and Adaptive Computing in Automotive

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The Latest AI-Powered Cameras Target a Diverse Array of Industries

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Liquid Cooling Dials Down AI Supercomputer Heat

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Voltage-Regulator IC Brings Vertical Power Delivery to Big AI Chips

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Inside Electronics

Practical Spiking Neural Networks

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So...AI is Worse than a 3rd Grader in Understanding Language Dialects

Highlights

Neuromorphic NPU Sips Power to Handle ML on the Edge

Machine Learning

Neuromorphic NPU Sips Power to Handle Edge Machine-Learning Models

BrainChip’s Akida Pico neural processing unit, which leverages spiking neural networks, targets low-power IoT and edge-computing devices.

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Edge Computing and TinyML

Edge computing often had limited power, and compute resources for machine-learning support needs to fit within these constraints.

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Machine Learning

Bigger Might Not Be Better When It Comes to AI on the Edge

Right-sizing hardware to balance performance, power consumption, and cost enables machine learning to run on resource-constrained platforms.

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Machine Learning

Generative AI at the Edge: Engineering Challenges

The increasing demands for generative AI at the edge call for new solutions that can achieve high performance within the low-power requirements for edge apps.

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TinyML - What is it?

TinyML is a concept but one that fits a number of machine learning implementations

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TinyML Hardware - Small AI/ML Micros

This TechXchange targets microcontrollers that can support TinyML

Recommended

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TechXchange: TinyML: Machine Learning for Small Platforms

Machine learning does not have to run on big servers in the cloud. This TechXchange presents articles and videos about TinyML.

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TechXchange: ROS: Robot Operating System

ROS is the open-source Robot Operating System.

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Engineering on Friday

AI Could Play a Role in Science Publication Reviews

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Integrating AI into Robotics: The Fusion of Hardware and Software Design

The Raspberry Pi AI Kit comes with an M.2 HAT+ and Hailo AI acceleration module capable of pushing 13 TOPS.

Raspberry Pi 5 Taps into AI with a New Add-On Kit

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Inside Electronics

Advanced Infrastructures for Demanding Data Center and AI SoC Apps

Ed Tech Xchange Ai On The Edge

AI on the Edge

Artificial intelligence requires compute horsepower, but more efficient algorithms and specialized hardware have made it practical for edge nodes.

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Latest Development Boards Push the Boundaries with AI

Gain insight into the development boards leading the way in driving innovation as AI technologies ramp up across the industry.

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Machine Learning

The Best SBCs with Integrated AI Hardware

Discover how SBCs with integrated AI processing power are bringing new capabilities to many industries.

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Machine Learning

Making Smart Devices Intelligent: The Intersection of AI and Compound Semiconductors

Transforming "smart" devices into "intelligent" components via AI requires more than computational power. It will be enabled by other technologies, most of which rely on new materials...