Lifeboat Foundation

Alphabet’s healthcare and tech company Verily will use a sex-sorting computer vision algorithm to help Singapore battle mosquitoes.

Over its 60-year history, DARPA has played a leading role in the creation and advancement of artificial intelligence (AI) technologies that have produced game-changing capabilities for the Department of Defense. Starting in the 1960s, DARPA research shaped the first wave of AI technologies, which focused on handcrafted knowledge, or rule-based systems capable of narrowly defined tasks. While a critical step forward for the field, these systems were fragile and limited. Starting in the 1990s, DARPA helped usher in a second wave of AI machine learning technologies that created statistical pattern recognizers from large amounts of data. The agency’s funding of natural language understanding, problem solving, navigation and perception technologies has led to the creation of self-driving cars, personal assistants, and near-natural prosthetics, in addition to a myriad of critical and valuable military and commercial applications. However, these second wave AI technologies are dependent on large amounts of high quality training data, do not adapt to changing conditions, offer limited performance guarantees, and are unable to provide users with explanations of their results.

To address the limitations of these first and second wave AI technologies, DARPA seeks to explore new theories and applications that could make it possible for machines to adapt to changing situations. DARPA sees this next generation of AI as a third wave of technological advance, one of contextual adaptation. To better define a path forward, DARPA is announcing today a multi-year investment of more than $2 billion in new and existing programs called the “AI Next” campaign. Agency director, Dr. Steven Walker, officially unveiled the large-scale effort during closing remarks today at DARPA’s D60 Symposium taking place Wednesday through Friday at the Gaylord Resort and Convention Center in National Harbor, Maryland.

“With AI Next, we are making multiple research investments aimed at transforming computers from specialized tools to partners in problem-solving,” said Dr. Walker. “Today, machines lack contextual reasoning capabilities, and their training must cover every eventuality, which is not only costly, but ultimately impossible. We want to explore how machines can acquire human-like communication and reasoning capabilities, with the ability to recognize new situations and environments and adapt to them.”

By tapping robotic and sensor technologies, a small free-flying spacecraft is being demonstrated to autonomously investigate lava tubes on the Moon.

Astrobotic Technology of Pittsburgh, Pennsylvania is partnering with scientists from the RIS4E node of NASA’s Solar System Exploration Research Virtual Institute (SSERVI), led by Stony Brook University.

If your truck is completely autonomous, why would you need a cab? Volvo Trucks believes that you don’t and that’s why they built a new all-electric and autonomous truck without a cab called Vera.

Claes Nilsson, President of Volvo Trucks, the idea behind Vera:

“The full potential of the transport industry is yet to be seen. Everything suggests that the global need for transportation will continue to significantly increase in the coming decade. If we are to meet this demand in a sustainable and efficient way, we must find new solutions. In order to secure a smoothly functioning goods flow system we also need to exploit existing infrastructure better than currently. The transport system we are developing can be an important complement to today’s solutions and can help meet many of the challenges faced by society, transport companies and transport buyers,”

Continue reading “Volvo unveils all-electric and autonomous truck without a cab” »

Here’s a snapshot of AI-predicted built-up areas in Aparri from Planet satellite images. This image was processed by the DATOS Project team before the onslaught of Typhoon #OmpongPH. Images will also be processed after the typhoon to detect changes in urban areas, such as destroyed buildings and changes in landscape.

Machine learning supports 20-year-old theory of bizarre electron behaviour in high-temperature superconductor.

I woke up this morning to the sad news that maker-pal and pioneering hobby roboticist, Gordon McComb, had passed away. I wrote a brief eulogy on Make:

It is with a heavy heart that we here at Make: announce the passing of hobby robotics pioneer, Gordon McComb. He died on Monday, Sept 10th, apparently of a heart attack. Gordon was a great friend to Make: and to makers and robotics hobbyists from around the world.

Gordon’s Robot Builder’s Bonanza book, first published in 1987, arguably marks the beginning of hobby robotics as a significant maker category. It was the book that I bought in the late 80s that got me into robot building, and by extension, all forms of hardware hacking…

Continue reading “Father of hobby robotics, Gordon McComb, has died” »

Russian company GET (Global Energy Transmission) has pioneered a mid-air inductive recharging system that can charge up several drones at once without requiring them to land. Build enough of these stations, and you can have an army of drones in the air that never need to land.