NOTE: This post is part of my Machine Learning Series where I’m discussing how AI/ML works and how it has evolved over the last few decades.
Neural networks are the foundation of many artificial intelligence and machine learning applications. There are several types of neural networks, each designed to address specific types of problems. In this post, we'll explore the most common types of neural networks and their applications.
NOTE: This post is part of my Machine Learning Series where I’m discussing how AI/ML works and how it has evolved over the last few decades.
One of the most transformative developments in the field of artificial intelligence and machine learning was the advent of neural networks. These computational models are designed to mimic the way the human brain processes information and are capable of performing complex tasks such as image recognition, natural language processing, and more. In this blog post, we'll explore what neural networks are, their components, and why specialized hardware like GPUs (Graphics Processing Units) and TPUs (Tensor Processing Units) are highly effective for training and deploying neural networks.
NOTE: This post is part of my Machine Learning Series where I’m discussing how AI/ML works and how it has evolved over the last few decades.
Computer vision, the field of AI that enables computers to interpret and understand visual information from the world, has undergone significant advancements over the past decade. The ability to analyze images and videos, recognize objects, and understand visual scenes has opened up a multitude of applications in fields such as healthcare, autonomous vehicles, and security. In this blog post, we will explore the key milestones and breakthroughs that have shaped the evolution of computer vision over the last ten years.
NOTE: This post is part of my Machine Learning Series where I’m discussing how AI/ML works and how it has evolved over the last few decades.
Machine learning has become an integral part of our lives, powering applications from voice assistants to self-driving cars. However, the field has a rich history that spans over five decades, with foundational ideas that date back even further. In this blog post, we'll explore the key milestones and breakthroughs in the history of machine learning over the last 50 years and how they've shaped the field as we know it today.
Machine learning is an exciting and rapidly evolving field that has the potential to transform virtually every industry. From natural language processing to computer vision, machine learning models are becoming an integral part of our daily lives, enabling new levels of automation and understanding. To explore the fascinating world of machine learning and share insights with a broader audience, I am launching a blog series on AI/ML.
In this post, I will discuss the topics I will be covering and what you can expect from the upcoming blog series.
Twitter cuts many app developers' API access, even those willing to pay $42,000 per month — Mashable
Art critics have been present long before the birth of photography and have accompanied photographers through the journey from analog to digital. Now, with the proliferation of machine learning and the integration of on-device ML chips, such as Apple's Neural Engine chip, your smartphone has evolved into a discerning critic of your photographic creations.
As a family, we love to explore new places, and a month ago we took a trip to Disneyland for my birthday. It was my first time visiting the happiest place on earth with my 8-month-old son, Wesley. Needless to say, it was an experience I will never forget.
An International Ramen Phenomenon Is Opening a New Oakland Outpost Soon — The San Francisco Standard
