The initial research papers date back to 2018, but for most, the notion of liquid networks (or liquid neural networks) is a new one. It was “Liquid Time-constant Networks,” published at the tail e
Deepfakes, AI-generated porn and a thousand more innocent uses — there’s been a lot of news about neural network-generated images. It makes sense that people started getting curious; were
Walmart is expanding its support for AI-powered virtual try-on technology that allows online shoppers to better visualize clothing on models that look like themselves in both appearance and body type.
In the world of sports betting, instant payments and reliable custody are key to the user experience. HotStreak, a web3 platform for daily fantasy sports (DFS) contests, is wagering that the decentral
For self-driving cars and other applications developed using AI, you need what’s known as “deep learning”, the core concepts of which emerged in the ’50s. This requires training mo
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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
Last May, Walmart announced its acquisition of the virtual clothing try-on startup Zeekit, which leveraged a combination of real-time image processing, computer vision, deep learning and other AI tech
Amid a global semiconductor shortage, an upstart in the world of AI chips is announcing a big round of funding to meet a boom in demand for its technology. Hailo, which makes edge-device chips customi
We have an opportunity to apply AI and machine learning to propel the future and do good. That begins with diverse teams that reflect the full diversity and rich perspectives of our world.
Google announced a series of upgrades to its Google Photos service, used by more than a billion users, at today’s Google I/O developer event, which was virtually streamed this year due to COVID.
Shortening the diagnostic journey and reducing the associated costs was, until recently, a moonshot challenge, but is now within reach. Technology and AI advances are combining to make genetic testing
One of the issues with deploying a machine learning application is that it tends to be expensive and highly compute intensive. Deeplite, a startup based in Montreal, wants to change that by providing
A new type of neural network that’s capable of adapting its underlying behavior after the initial training phase could be the key to big improvements in situations where conditions can change qu
Tesla is open to licensing its software, including its Autopilot highly-automated driving technology and the neural network training it has built to improve its autonomous driving technology. Tesla CE
Much of the hype around AI — all the disruption it was supposed to bring and the leaps it was supposed to fuel — will begin in earnest in the next few years.
A new paper published by Disney Research in partnership with ETH Zurich describes a fully automated, neural network-based method for swapping faces in photos and videos — the first such method t
A collective of more than 2,000 researchers, academics and experts in artificial intelligence are speaking out against soon-to-be-published research that claims to use neural networks to “predic
Today and going forward, billions of tiny devices will act as an extension of our brains, feelings and emotions as a natural extension of everyday life.
For the past two years the founding team of Immunai had been working stealthily to develop a new technology to map the immune system of any patient. Founded by Noam Solomon, a Harvard and MIT-educated
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