By automatically generating code that leverages two types of data redundancy, the system saves bandwidth, memory, and computation.
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ORGANIZATIONS. SHAPING THE INDUSTRY.
University of Michigan
Higher Education
Work together. Create smart machines. Serve society. University of Michigan’s Robotics Institute aims to create a collaborative c...
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The Linley Group
Semiconductors
The Linley Group is the leading vendor of technology analysis on AI, networ...
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Efficient Computer
Semiconductors
The company building the world's most energy-efficient general-purpose proc...
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NPUs are integrated units that excel in real-time AI tasks on edge devices like smartphones and IoT systems with low power consumption. TPUs are standalone processors designed for large-scale AI workloads in data centers, delivering exceptional performance in deep learning tasks.
Using this model, researchers may be able to identify antibody drugs that can target a variety of infectious diseases.
This new device uses light to perform the key operations of a deep neural network on a chip, opening the door to high-speed processors that can learn in real-time.
Liu and team receive NSF EFRI grant for biocomputing research
Fine-tuning large language models adapts pre-trained models to specific tasks or domains using tailored datasets, while Retrieval-Augmented Generation (RAG) combines retrieval systems with generative models to dynamically incorporate external, up-to-date knowledge into outputs.
This article presents a comprehensive technical analysis of CPLD vs FPGA, focusing on their architectural distinctions, performance metrics, design flows, and implementation methodologies.
Edge AI Technology Report: Generative AI Edition Chapter 1. Generative AI's demand for real-time insights is driving a shift from cloud to edge computing, enabling faster, local processing on devices and reducing cloud latency and bandwidth constraints.
A research team at Texas A&M has received a $1.8M National Science Foundation Future of Semiconductor grant to develop new energy-efficient interconnect technologies for microchips.
2 minutes read
Edge computing: a decentralized computing paradigm that processes data closer to the source, reducing latency and enabling more efficient use of resources.
Important breakthrough for the development of diamond-based quantum computers
3 minutes read
Programmable Logic Controllers (PLCs) enable precise control over various tasks involved in industrial automation processes. Among the many functionalities that PLCs offer, timers and counters are critical tools for automating tasks, working to enhance automation efficiency and boosting accuracy.
RISC-V offers the tools needed to foster local AI innovation while also enabling worldwide collaboration and access to a global market
Unleashing the Power of GPU, understanding the essential strategies for efficient Deep Learning Model Training without compromising on memory and hardware resources in Graphical Processing Units
Newly discovered role of phase separation can help develop memory devices for energy-efficient AI computing.
3 minutes read
