When And Where To Implement AI/ML In Fabs

Deciphering complex interactions between variables is where machine learning and deep learning shine, but figuring Read More →

Building AI Products With A Holistic Mental Model

Note: This article is the first in a series called “Dissecting AI applications”, which introduces Read More →

Hackaday Links: August 13, 2023

Remember that time when the entire physics community dropped what it was doing to replicate Read More →

Generate creative advertising using generative AI deployed on Amazon SageMaker

Creative advertising has the potential to be revolutionized by generative AI (GenAI). You can now Read More →

Using AI To Close Coverage Gaps

Verification of complex, heterogeneous chips is becoming much more difficult and time-consuming. There are more Read More →

Not All There: Heterogeneous Multiprocessor Design Tools

The design, implementation, and programming of multicore heterogeneous systems is becoming more common, often driven Read More →

Ecological System Dynamics for Computing

Some of you may remember that the ship’s computer on Star Trek: Voyager contained bioneural Read More →

Can ChatGPT Compete with Domain-Specific Sentiment Analysis Machine Learning Models?

ChatGPT is a GPT (Generative Pre-trained Transformer) machine learning (ML) tool that has surprised the world. Its Read More →

How Do Real-Time Payment Settlements Impact Businesses and Individuals?

The necessity for quick transactions and real-time payment settlements has grown critical in an increasingly Read More →

193i Lithography Takes Center Stage…Again

Cutting-edge lithography to create smaller features increasingly is being supplemented by improvements in lithography for Read More →

Optimizing Models: Cross-Validation and Hyperparameter Tuning Guide

Introduction Machine learning is a type of artificial intelligence that allows models to learn from Read More →

Striking A Balance In Acoustic Inspection

Sound energy is a quick way to to spot voids, delamination, cracks, and other possible Read More →

What Do You Want in a Programming Assistant?

The Propellerheads released a song in 1998 entitled “History Repeating.” If you don’t know it, Read More →

Supervised Learning vs. Unsupervised Learning Algorithms

Introduction Machine Learning (ML) is a field of study that focuses on developing algorithms to Read More →

Four LLM Trends Since ChatGPT And Their Implications For AI Builders

In October 2022, I published an article on LLM selection for specific NLP use cases , such Read More →

Real-time inference using deep learning within Amazon Kinesis Data Analytics for Apache Flink

Apache Flink is a framework and distributed processing engine for stateful computations over data streams. Read More →

The Bias-Variance Trade-off in Machine Learning

Introduction In machine learning, the bias-variance trade-off is a fundamental concept affecting the performance of Read More →

Managing Water Supplies With Machine Learning

From wet benches to cooling systems, fabs use vast amounts of water — millions of Read More →

Top 6 Research Papers On Diffusion Models For Image Generation

Midjourney Evolution. V1 – V5.1 In 2015, a research paper from Stanford University and UC Read More →

GDDR6 Delivers The Performance For AI/ML Inference

Low Power-High Performance OPINION Memory throughput speed and low latency are critical as inference shifts Read More →

Making Tradeoffs With AI/ML/DL

Machine learning, deep learning, and AI increasingly are being used in chip design, and they Read More →