Are Better Machine Training Approaches Ahead?


We live in a time of unparalleled use of machine learning (ML), but it relies on one approach to training the models that are implemented in artificial neural networks (ANNs) — so named because they’re not neuromorphic. But other training approaches, some of which are more biomimetic than others, are being developed. The big question remains whether any of them will become commercially viab... » read more

Spiking Neural Networks: Research Projects or Commercial Products?


Spiking neural networks (SNNs) often are touted as a way to get close to the power efficiency of the brain, but there is widespread confusion about what exactly that means. In fact, there is disagreement about how the brain actually works. Some SNN implementations are less brain-like than others. Depending on whom you talk to, SNNs are either a long way away or close to commercialization. Th... » read more

Week In Review: Auto, Security, Pervasive Computing


COVID-19, IoT Last week, the United States’ Department of Health and Human Service (HHS) announced it will not enforce penalties for certain U.S. HIPAA Rules violations involving COVID-19 testing sites. HIPAA, the Health Insurance Portability and Accountability Act of 1996, protects privacy of health information. Lawyers are looking it over. "Even during the COVID-19 pandemic, providers are ... » read more

Memory Issues For AI Edge Chips


Several companies are developing or ramping up AI chips for systems on the network edge, but vendors face a variety of challenges around process nodes and memory choices that can vary greatly from one application to the next. The network edge involves a class of products ranging from cars and drones to security cameras, smart speakers and even enterprise servers. All of these applications in... » read more

The Challenges Of Building Inferencing Chips


Putting a trained algorithm to work in the field is creating a frenzy of activity across the chip world, spurring designs that range from purpose-built specialty processors and accelerators to more generalized extensions of existing and silicon-proven technologies. What's clear so far is that no single chip architecture has been deemed the go-to solution for inferencing. Machine learning is ... » read more

Week In Review: Design, Low Power


M&A NXP will acquire Marvell's Wi-Fi Connectivity business in an all-cash, asset transaction valued at $1.76 billion. The deal includes the Wi-Fi and Bluetooth technology portfolios and related assets; the business employs approximately 550 people worldwide. The deal is expected to close by calendar Q1 2020. Tools Cadence unveiled a data center-optimized FPGA-based prototyping system, ... » read more

AI Begins To Reshape Chip Design


Artificial intelligence is beginning to impact semiconductor design as architects begin leveraging its capabilities to improve performance and reduce power, setting the stage for a number of foundational shifts in how chips are developed, manufactured and updated in the future. AI—and machine learning and deep learning subsets—can be used to greatly improve the functional control and pow... » read more