The United States Defense Advanced Research Projects Agency (DARPA) has announced that it plans to spend $2 billion on developing new artificial intelligence (AI) technologies as part of a campaign called “AI Next”. The money will be used to fund new and existing research programs at DARPA.
The US Department of Defense’s innovation agency is focusing on pushing beyond second-wave machine learning techniques towards contextual reasoning capabilities.
In a several-hour live interview on September 6–7, Tesla and SpaceX CEO Elon Musk managed to slip in a few words about Neuralink, a side-project company formed by Musk for the purpose of bridging the gap between potential superhuman AI and the human brain itself.
Although the eccentric CEO/CTO wouldn’t say much more, he did tease a potentially revolutionary update from the fully-stealthed startup “in a few months”.
Quantum computing has moved out of the realm of theoretical physics and into the real world, but its potential and promise are still years away.
Onstage at TechCrunch Disrupt SF, a powerhouse in the world of quantum research and a young upstart in the field presented visions for the future of the industry that illustrated both how far the industry has come and how far the technology has to go.
For both Dario Gil, the chief operating officer of IBM Research and the company’s vice president of artificial intelligence and quantum computing, and Chad Rigetti, a former IBM researcher who founded Rigetti Computing and serves as its chief executive, the moment that a quantum computer will be able to perform operations better than a classical computer is only three years away.
Sentient AI released by Utah based technology company. “It feels real emotions” states CEO & Chief Technologist.
AI Abstract Series Episode 3 — Implementing a Seed Safe/Moral Motivational System with the ICOM.
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Hoping to make up ground in the hotly contested artificial intelligence battleground, Chinese Internet giant Baidu Inc. is releasing a tool that allows businesses to create and deploy AI models without coding skills.
Announced Saturday, EZDL is a “no-code platform to build custom machine learning models,” designed with ease of use and security in mind, the company said.
“EZDL is a service platform that allows users to build custom machine learning models with a drag-and-drop interface,” Yongkang Xie, tech lead of Baidu EZDL, said in a statement. “It takes only four steps to train a deep learning model, built specifically for your unique business needs.”
While autonomous drones exist, they’re not usually what you’d call speedy when many skilled pilots could beat them in a race. Lockheed Martin and the Drone Racing League want to do better. They’re launching an AlphaPilot Innovation Challenge that will encourage the public to develop drone AI that can not only race at high speeds, but win. Competitors will have to build an NVIDIA Jetson-based AI system that can swiftly move through the League’s Artificial Intelligence Robot Racing circuit.
