deep learning

Remember Natural Language Processing? NLP arose several years ago but it was only in 2018 that AI researchers proved it was possible to train a neural network once on a large amount of data and use it

Who will be liable for harmful speech generated by large language models? As advanced AIs such as OpenAI’s GPT-3 are being cheered for impressive breakthroughs in natural language processing and

Before founders begin building AI systems, they should think carefully about their risk appetite, data management practices and strategies for future-proofing their AI stack.

Arrikto’s mission is to enable data scientists to build and deploy their machine learning models faster. The company, which raised a $10 million Series A round in late 2020, is building its plat

Training neural networks takes a lot of time, even with the fastest and costliest accelerators on the market. It’s maybe no surprise then that a number of startups are looking at how to speed up

Amazon rules the roost when it comes to e-commerce, not just because of its size but because of how it uses that to amass large amounts information that it in turn uses to continue feeding the machine

What do deep neural networks and cancer immunotherapy have in common?

Berlin-based Jina.ai, an open source startup that uses neural search to help its users find information in their unstructured data (including videos and images), today announced that it has raised a $

CEO Andrew Ng says industries should adopt a data-centric approach to building AI, which provides a more efficient way for manufacturers to teach an AI model what to do.

Microsoft today announced the launch of the Azure OpenAI Service, which, as the name implies, makes OpenAI’s machine learning models available on the Azure platform. Specifically, that means GPT

Building usable models to run AI algorithms requires not just adequate data to train systems, but also the right hardware subsequently to run them. But because the theoretical and practical are often

Airlines have a relatively straightforward goal — getting people in seats — but they’ve traditionally relied on inefficient and outdated statistical modeling methods to predict what pric

The U.K. government has announced a consultation on plans to shake up the national data protection regime, as it looks at how to diverge from European Union rules following Brexit. It’s also a y

Disinformation, misinformation, infotainment, algowars — if the debates over the future of media the past few decades have meant anything, they’ve at least left a pungent imprint on the English la

ThirdAI is building tools to speed up deep learning technology without the need for hardware like graphics processing units.

In the next year and a half, we’re going to see increasing adoption of technologies, which will trigger a broader industry shift, much as Tesla triggered the transition to EVs.

Microsoft today announced PyTorch Enterprise, a new Azure service that provides developers with additional support when using PyTorch on Azure. It’s basically Microsoft’s commercial suppor

Buzzy face-swapping video app Reface is expanding its reality-shifting potential beyond selfies by letting users upload more of their own content for its AI to bring to life. Users of its iOS and Andr

With every year, AI is beginning to bring more standardized levels of diagnostic accuracy in medicine. This is true of skin cancer detection, for example, and lung cancers. Now, a startup in Israel ca

Research papers come out far too rapidly for anyone to read them all, especially in the field of machine learning, which now affects (and produces papers in) practically every industry and company. Th