AI Technologies & Platforms: Page

5 examples of AI in the Olympics

The 2024 Olympics in Paris will use AI for judging accuracy, personalized recaps, security, logistics and enhancing athlete performance, aiming for a fairer and safer event.

By Alison Roller • July 19, 2024

OpenAI goes small with GPT-4o mini

The AI vendor launched a small language model that is priced at 15 cents per million input tokens. It also introduced new compliance tools for ChatGPT Enterprise users.

By Esther Shittu • July 19, 2024

What is NumPy? Explaining how it works in Python

NumPy is an open source mathematical and scientific computing library for Python programming tasks.

By Stephen Bigelow • July 19, 2024

An explanation of the different types of AI

There are four main categories of AI -- reactive, limited memory, theory of mind and self-aware.

By Sabrina Polin • July 17, 2024

25 machine learning interview questions with answers

Aspiring machine learning job candidates should be fluent in many aspects of machine learning, from statistical theory and programming concepts to general industry knowledge.

By Kurt Cagle • July 17, 2024

tensor processing unit (TPU)

A tensor processing unit (TPU) is an application-specific integrated circuit (ASIC) specifically designed to accelerate high-volume mathematical and logical processing tasks typically involved with machine learning (ML) workloads.

By Stephen Bigelow • July 16, 2024

An explanation of GPT-4o

GPT-4o is a multimodal large language model developed by OpenAI.

By Natasha Carter, Tommy Everson • July 15, 2024

Moving GenAI from proof of concept to production on AWS

A prevailing critique of generative AI tools is that they can't be put into practice. However, some organizations now use vendor tools to produce capabilities for their clients.

By Esther Shittu • July 11, 2024

AWS intros GenAI app studio, updates Amazon Q and Bedrock

The cloud provider introduced new features that help enterprises create applications faster, while still applying responsible practices. It also unveiled new educational resources.

By Esther Shittu • July 10, 2024

An explanation of AI model collapse

Generative AI creates content quickly and accurately but faces the risk of model collapse.

By Sabrina Polin • July 10, 2024

Learn how to create a machine learning pipeline

Well-considered machine learning pipelines provide a structured approach to AI development in modern IT environments, ensuring uniformity, speed and business alignment.

By Stephen Bigelow • July 9, 2024

An explanation of Hugging Face

Hugging Face is a machine learning platform that provides the means to run and deploy AI in live applications.

By Ben Lutkevich • July 8, 2024

An explanation of masked language models

In this video, TechTarget editor Jen English talks about masked language models.

By Kinza Yasar • June 26, 2024

Top 13 generative AI influencers to follow

Navigating the rapidly evolving generative AI field can be challenging. These generative AI influencers provide insights to help others learn about generative AI's potential.

By Madeleine Streets • June 25, 2024

An explanation of vector search

Vector search is a multidimensional tool that represents words, sentences, images and audio as numbers across multiple dimensions.

By Samantha Poutre, Natasha Carter • June 24, 2024

An introduction to AI

AI uses human intelligence to learn, reason, self-correlate and practice creativity.

By Samantha Poutre • June 24, 2024

How to become a natural language processing engineer

Explore the education, experience and skills needed to excel in the demanding yet rewarding field of NLP engineering, including expertise in linguistics, math and programming.

By Stephen Bigelow • June 18, 2024

Top 6 examples of humanoid robots

Humanoids are a blend of AI and robotics. Meet top contenders, including Sophia, Atlas, Ameca, Geminoid DK, Nadine and Pepper, and explore their remarkable features.

By Kinza Yasar • June 14, 2024

History and evolution of machine learning: A timeline

Machine learning's legacy dates from the early beginnings of neural networks to recent advancements in generative AI that democratize new and controversial ways to create content.

By Ron Karjian • June 13, 2024

An explanation of causal AI

The advancement of modern AI has transformed computer system intelligence to correctly identify the cause and effect in data.

By Samantha Poutre • June 11, 2024

Planning for GenAI disillusionment

Hype around GenAI will inevitably be followed by generative AI disillusionment. Experts ruminate on how to shorten the trough and prepare for the future.

By George Lawton • June 4, 2024

The importance of open source in GenAI

Lightning AI, the creator of PyTorch Lightning, was a pioneer of open source technology. The vendor has built on many platforms, but CTO Luca Antiga doesn't see one as best.

By Esther Shittu , Shaun Sutner • June 3, 2024

Explore the evolving role of AI in the insurance industry

AI is transforming the insurance industry by automating processes and improving risk assessment, but it also poses challenges in data transparency and algorithmic decision-making.

By George Lawton • May 31, 2024

Dell AI Factory takes the spotlight at Dell Technologies World

Dell has aligned its entire portfolio behind AI and has expanded critical partnerships to support customers adopting artificial intelligence technologies.

By Mike Leone • May 29, 2024

At IBM Think, IT leaders pitch GenAI upskilling for all

IT leaders at IBM Think 2024 say training employees and establishing policies for generative AI adoption are core parts of a strategy to avoid financial and legal hurdles.

By Tim McCarthy • May 22, 2024