Recogni, a startup developing a perception system for autonomous vehicles, has raised $48.9 million in venture capital.
Ozette applies artificial intelligence to immune monitoring to gain greater insight into a cancer patient’s immune system. Beyond informing treatment decisions, the technology can guide drug and diagnostic development.
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By Amir Ebrahimi — Principal Software Engineer · Unity Technologies
What opened quantum computing up for me was realizing that it’s even more connected to our physical universe than classical computing is.
This new technology creates photorealistic talking clones that may eliminate the need for cameras.
Thanks to a new technology, it is possible to create photorealistic digital talking humans that may eliminate the need for cameras.
Continue reading “AI Can Now Turn You Into a Fully Digital, Realistic Talking Clone” »
We need a revolution in artificial intelligence and learning from insects will help us achieve it, says James Marshall.
Lunar traffic to pick up as NASA readies for robotic commercial moon deliveries.
NASA is working on various science instruments and technology experiments from the agency that will operate on the Moon once American companies on Commercial Lunar Payload Services (CLPS) contracts deliver them to the lunar surface. Through CLPS flights, NASA is buying a complete commercial robotic lunar delivery service and does not provide launch services, own the lander or lead landing operations.
The agency has already purchased space on five upcoming commercial Moon missions and is expected to announce yet another task order award soon. The upcoming award keeps the agency on track for its goal of two CLPS deliveries per year as part of the Artemis program and will round out two deliveries per year 2021 through 2023.
By 2030, artificial intelligence will handle some of today’s more routine chores with great efficiency and some non-routine chores with greater aplomb.
Reservoir computing is a highly promising computational framework based on artificial recurrent neural networks (RNNs). Over the past few years, this framework was successfully applied to a variety of tasks, ranging from time-series predictions (i.e., stock market or weather forecasting), to robotic motion planning and speech recognition.
New EPFL/INRIA research shows for the first time that it is possible for our mobile devices to conduct machine learning as part of a distributed network, without giving big global tech companies access to our data.
As a critic of modern life and technology, Ai-Da can draw thanks to artificial intelligence.
