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January 19, 2022 19 Jan'22
Nvidia releases updates to AI enterprise suite

The AI suite includes a full integration with Tanzu, giving enterprises the flexibility to run workloads on containers and VMs. The vendor also introduced two new servers.
January 13, 2022 13 Jan'22
Lucidworks releases AI-powered search platform

The vendor's SaaS platform includes a newly released application, Connected Search. It's the first of several releases expected over the next year.
January 13, 2022 13 Jan'22
Deloitte launches new metaverse services and studio

The consulting giant's new metaverse service and studio use Nvidia's Omniverse tools. They help creators looking to learn more about and build virtual and augmented reality worlds.
January 12, 2022 12 Jan'22
Mostly AI plans to use $25M funding for responsible AI efforts

The synthetic data vendor works with customers in Europe and North America. Experts say more than half of AI projects will be created using synthetic models by 2024.

Bring yourself up to speed with our introductory content

What is artificial intelligence (AI)?

Artificial intelligence is the simulation of human intelligence processes by machines, especially computer systems. Specific applications of AI include expert systems, natural language processing, speech recognition and machine vision. Continue Reading
Tips and tricks for deploying TinyML

A typical TinyML deployment has many software and hardware requirements, and there are best practices that developers should be aware of to help simplify this complicated process. Continue Reading
robo-advisor

A robo-advisor is an artificial intelligence (AI) driven virtual financial advisor. Continue Reading

Weigh the pros and cons of technologies, products and projects you are considering.

Why TinyML use cases are taking off

TinyML technology can successfully collect and analyze data in real scenarios, as demonstrated in various use cases. Continue Reading
How warehouse automation robotics transformed the supply chain

To maximize efficiency in warehouses and ameliorate supply chain issues, companies are turning to automation technology, leading them to embrace warehouse automation robotics. Continue Reading
How neural network training methods are modeled after the human brain

Training neural nets to mirror the human brain enables deep learning models to apply learning to data they've never seen before. Continue Reading

Learn to apply best practices and optimize your operations.

TinyML at the very edge of IoT shows signs of promise

TinyML can enable machine learning on small devices that exist within IoT systems and experts are currently debating the breadth of its practical real-world uses. Continue Reading
Capitalizing on the many artificial neural network uses

Neural networks have many use cases. Businesses interested in using AI should consider both the challenges and potential gains of deploying neural nets. Continue Reading
AI carbon footprint: Helping and hurting the environment

Companies can use AI to help the environment, including by using it to prevent forest fires and reduce factory waste. At the same time, AI has its own carbon footprint. Continue Reading

We’ve gathered up expert advice and tips from professionals like you so that the answers you need are always available.

Expanding explainable AI examples key for the industry

Improving AI explainability and interpretability are keys to building consumer trust and furthering the technology's success. Continue Reading
Solving the AI black box problem through transparency

Ethical AI black box problems complicate user trust in the decision-making of algorithms. As AI looks to the future, experts urge developers to take a glass box approach. Continue Reading
5 reasons NLP for chatbots improves performance

Experts say chatbots need some level of natural language processing capability in order to become truly conversational. Without language capabilities, bots are simple order takers. Continue Reading