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AI technologies News

January 25, 2022 25 Jan'22
IRS facial recognition move raises bias, privacy concerns

The agency requires photo identification for certain services using a face match system from digital ID vendor ID.me, but privacy advocates say the technology is prone to bias.
January 24, 2022 24 Jan'22
Meta AI supercomputer looks toward the metaverse

The tech giant will use its new AI Research Supercluster internally for NLP and computer vision and to build new technologies for the metaverse.
January 24, 2022 24 Jan'22
Silicon Labs launches new AI/ML chips, toolkit for edge

The chip vendor's new wireless SoC aims to bring AI and machine learning to the IoT. The systems also use the Matter IP-based protocol to wirelessly connect devices.
January 24, 2022 24 Jan'22
IBM offloads Watson Health business data, analytics

IBM Watson Health assets acquired by Francisco Partners include extensive data sets and software, marking an end to IBM's efforts in the healthcare tech industry.

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.

How cloud RPA is key to automation's future

Companies have traditionally used robotic process automation (RPA) as on-premises software but are now embracing cloud RPA as its business benefits are outweighing the drawbacks. Continue Reading
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

Learn to apply best practices and optimize your operations.

How AI is used to ensure cybersecurity

Artificial intelligence capabilities are increasingly used to detect cybersecurity threats. As threats proliferate, AI cybersecurity capabilities will likely be the norm. Continue Reading
Securing AI during the development process

AI systems can have their data corrupted or 'poisoned' by bad actors. Luckily, there are protective measures developers can take to ensure their systems remain secure. Continue Reading
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

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