Lifeboat Foundation: Safeguarding Humanity
Toggle light / dark theme

Blog

Category: robotics/AI – Page 1,761

đŸ€” “The White House today detailed the establishment of 12 new research institutes focused on AI and quantum information science. Agencies including the National Science Foundation (NSF), U.S. Department of Homeland Security, and U.S. Department of Energy (DOE) have committed to investing tens of millions of dollars in centers intended to serve as nodes for AI and quantum computing study.

Laments over the AI talent shortage in the U.S. have become a familiar refrain. While higher education enrollment in AI-relevant fields like computer science has risen rapidly in recent years, few colleges have been able to meet student demand due to a lack of staffing. In June, the Trump administration imposed a ban on U.S. entry for workers on certain visas — including for high-skilled H-1B visa holders, an estimated 35% of whom have an AI-related degree — through the end of the year. And Trump has toyed with the idea of suspending the Optional Practical Training program, which allows international students to work for up to three years in the U.S.”

The White House announced the creation of AI and quantum research institutes funded by billions in venture and taxpayer dollars.

Read more | >

As a child, you develop a sense of what “fairness” means. It’s a concept that you learn early on as you come to terms with the world around you. Something either feels fair or it doesn’t.

But increasingly, algorithms have begun to arbitrate fairness for us. They decide who sees housing ads, who gets hired or fired, and even who gets sent to jail. Consequently, the people who create them—software engineers—are being asked to articulate what it means to be fair in their code. This is why regulators around the world are now grappling with a question: How can you mathematically quantify fairness?

This story attempts to offer an answer. And to do so, we need your help. We’re going to walk through a real algorithm, one used to decide who gets sent to jail, and ask you to tweak its various parameters to make its outcomes more fair. (Don’t worry—this won’t involve looking at code!)

Read more | >

Astronomers have applied artificial intelligence (AI) to ultra-wide field-of-view images of the distant Universe captured by the Subaru Telescope, and have achieved a very high accuracy for finding and classifying spiral galaxies in those images. This technique, in combination with citizen science, is expected to yield further discoveries in the future.

A research group, consisting of astronomers mainly from the National Astronomical Observatory of Japan (NAOJ), applied a deep-learning technique, a type of AI, to classify galaxies in a large dataset of images obtained with the Subaru Telescope. Thanks to its high sensitivity, as many as 560,000 galaxies have been detected in the images. It would be extremely difficult to visually process this large number of galaxies one by one with human eyes for morphological classification. The AI enabled the team to perform the processing without human intervention.

Read more | >

But Ford appears to have found a unique way to use a robot. We’ve seen some interesting applications for Boston Dynamics’ Spot robot, and the latest takes the 70-pound dog-like robot to the floors of a Ford transmission manufacturing plant.

These plants are reportedly so old — and have been re-tooled so many times — that Ford is unsure as to whether it possesses accurate floor plans. With an end goal of modernizing and retooling these plants, Ford is using Spot’s laser scanning and imaging technology to travel the plants so they can produce a detailed map.

According to TechCrunch, the manual facility mapping process is time-intensive, with lots of stops and starts as cameras are set up and repositioned station to station. By using two continuously roving robots, Ford can do the job in about half the time. The other benefit is Spot’s size: these little critters can access areas that humans can’t easily get to, and with five cameras they can sometimes provide a more complete picture of their surroundings.

Read more | >

He claims that humans risk being overtaken by AI within the next five years, and that AI could eventually view us in the same way we currently view house pets.

“I don’t love the idea of being a house cat, but what’s the solution?” he said in 2016, just months before he founded Neuralink. “I think one of the solutions that seems maybe the best is to add an AI layer.”

Read more | >

While Photoshop can do a pretty good job at removing shadows from faces, there’s a fair amount of legwork involved. One scientist has shown that neural networks and artificial intelligence can produce some very impressive results, suggesting that it will soon be a part of how we edit our photos.

Kåroly Zsolnai-Fehér of Two Minute Papers and the Institute of Computer Graphics and Algorithms, Vienna University of Technology, Austria, just released a video demonstrating how he has taught a neural network using large data sets to recognize and eliminate shadows from a face in a photograph. As detailed in the video, the neural network was taught by giving it photographs of faces to which shadows had been added artificially.

Given its effectiveness and the quality of the results, it seems only a matter of time before smartphones give you the option to remove shadows. In theory, you might even be able to switch on shadow removal while taking the photograph.

Read more | >

It’s extremely difficult to make a fair comparison of US and Chinese spend on technology like AI as funding and research in this area is diffuse. Although China announced ambitious plans to become the world leader in AI by 2030, America still outspends the country in military funding (which increasingly includes AI research), while US tech companies like Google and Microsoft remain world leaders in artificial intelligence.

The Trump administration will likely present today’s news as a counterbalance to its dismal reputation for supporting scientific research. For four years in a row, government budgets have proposed broad cuts for federal research, including work in pressing subjects like climate change. Only the fields of artificial intelligence and quantum computing, with their overt links to military prowess and global geopolitics, have seen increased investment.

“It is absolutely imperative the United States continues to lead the world in AI and quantum,” said US Chief Technology Officer Michael Kratsios ahead of today’s announcement, according to The Wall Street Journal. “The future of American economic prosperity and national security will be shaped by how we invest, research, develop and deploy these cutting edge technologies today.”

Read more | >

Artificial intelligence applications are popping up everywhere these days, from our Internet browsing to smart homes and self-driving cars. Now a group of researchers is launching a new AI-led study that will collect data from recently released prisoners. The ultimate goal of the project is to identify – and, ostensibly, one day eliminate – the psychological and physiological triggers that cause recidivism among parolees.

According to project-leads Marcus Rogers and Umit Karabiyik, the resulting data will assist them in conducting a forensic psychological analysis. While the monitoring will be gauged in intervals – not real-time – they believe it will help build a profile of the risky behaviors and stressful triggers that recent parolees face when returning to the outside world.

Read more | >