Why A DSP Is Indispensable In The New World of AI


Chips being designed today for the automotive, mobile handset, AI-IoT (artificial intelligence - Internet of things), and other AI applications will be fabricated in a year or two, designed into end products that will hit the market in three or more years, and then have a product lifecycle of at least five years. These chips will be used in systems with a large number and various types of senso... » read more

Energy Usage in Layers Of Computing (SLAC)


A technical paper titled “Energy Estimates Across Layers of Computing: From Devices to Large-Scale Applications in Machine Learning for Natural Language Processing, Scientific Computing, and Cryptocurrency Mining” was published by researchers at SLAC National Laboratory and Stanford University. Abstract: "Estimates of energy usage in layers of computing from devices to algorithms have bee... » read more

AI Process Control Platform Enabling Next Generation Technology, Part 2


As feature dimensions in semiconductors continue to shrink and worldwide demand continues to expand, semiconductor equipment manufacturers need innovative ways to compete and deliver. The Tignis PAICe Maker physics-driven AI computational modeling platform accelerates leading-edge semiconductor manufacturing—from equipment R&D to reliable high-yield chip fabrication capability. Tignis sup... » read more

Using Smart Data To Boost Semiconductor Reliability


The chip industry is looking to AI and data analytics to improve yield, operational efficiency, and reduce the overall cost of designing and manufacturing complex devices. In fact, SEMI estimates its members could capture more than $60B in revenues associated through smart data use and AI. Getting there, however, requires overcoming a number of persistent obstacles. Smart data utilization is... » read more

Design Optimization Of Split-Gate NOR Flash For Compute-In-Memory


A technical paper titled “Design Strategies of 40 nm Split-Gate NOR Flash Memory Device for Low-Power Compute-in-Memory Applications” was published by researchers at Seoul National University of Science and Technology and University of Seoul. Abstract: "The existing von Neumann architecture for artificial intelligence (AI) computations suffers from excessive power consumption and memo... » read more

Neuromorphic Artificial Synaptic Device Combining Memristor Arrays With Copper Iodide


A technical paper titled “Charge-Mediated Copper-Iodide-Based Artificial Synaptic Device with Ultrahigh Neuromorphic Efficacy” was published by researchers at University of Glasgow, City University of Hong Kong, and Hong Kong Metropolitan University. Abstract: "In the realm of artificial intelligence, ultrahigh-performance neuromorphic computing plays a significant role in executing multi... » read more

An Open-Source Solution To Accelerate Autonomous Vehicle Validation And Verification Research


A technical paper titled “PolyVerif: An Open-Source Environment for Autonomous Vehicle Validation and Verification Research Acceleration” was published by researchers at Florida Polytechnic University, Embry-Riddle Aeronautical University, Tallinn University of Technology, and Acclivis Technologies. Abstract: "Validation and Verification (V&V) of Artificial Intelligence (AI) based cyb... » read more

Neuromorphic Computing: Graphene-Based Memristors For Future AI Hardware From Fabrication To SNNs


A technical paper titled “A Review of Graphene-Based Memristive Neuromorphic Devices and Circuits” was published by researchers at James Cook University (Australia) and York University (Canada). Abstract: "As data processing volume increases, the limitations of traditional computers and the need for more efficient computing methods become evident. Neuromorphic computing mimics the brain's... » read more

A Design Architecture For Optically Broadband Programmable PICs Utilizing Micromechanical Resonances 


A technical paper titled “Synchronous micromechanically resonant programmable photonic circuits” was published by researchers at The MITRE Corporation, Massachusetts Institute of Technology, Sandia National Laboratories, University of Arizona, and Brookhaven National Laboratory. Abstract: "Programmable photonic integrated circuits (PICs) are emerging as powerful tools for the precise ... » read more

A Photonic Circuit Architecture Allowing Faster, More Efficient Transfer of Large Amounts of Data


A technical paper titled "Massively scalable Kerr comb-driven silicon photonic link" was published by researchers at Columbia University and Air Force Research Laboratory. Abstract: "The growth of computing needs for artificial intelligence and machine learning is critically challenging data communications in today’s data-centre systems. Data movement, dominated by energy costs and limi... » read more

← Older posts Newer posts →