Semiconductor Engineering

Analog On-Chip Learning Circuits In Mixed-Signal Neuromorphic SNNs

A technical paper titled “Neuromorphic analog circuits for robust on-chip always-on learning in spiking neural networks” was published by researchers at Institute of Neuroinformatics, University of ...

Hybrid Quantum: Classical Architectures For Machine Learning

As you begin your hybrid quantum approach, here are the advantages, use cases and limitations to keep in mind.
InfoQ

PrefixRL: Nvidia's Deep-Reinforcement-Learning Approach to Design Better Circuits

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
Semiconductor Engineering

Learning The AMS Circuit Representation From Layout Positions (UT Austin/ NVIDIA)

A recent technical paper titled “TAG: Learning Circuit Spatial Embedding From Layouts” was published by researchers at UT Austin and NVIDIA. “Analog and mixed-signal (AMS) circuit designs still rely ...
Science Daily

Two brain circuits involved with habitual learning

But it has not been clear how these distinct circuits contribute to the learning of new behaviors. Now for first time, researchers at MIT have recorded the activity of these two circuits in rats as ...
Tech Xplore on MSN

Visualizing the internal structure behind AI decision-making

Although deep learning–based image recognition technology is rapidly advancing, it still remains difficult to clearly explain ...
Engadget

Learning circuits and programming with the Geek Squad

If you're ever made a gadget purchase at Best Buy, you've likely heard of the Geek Squad: the retailer's in-house fleet of tech support and repair specialists. Well, helping with your hard drive ...