We propose new methods to synthesize control barrier function (CBF)-based safe controllers that avoid input saturation, which can cause safety violations. In particular, our method is created for high-dimensional, general nonlinear systems, for which such tools are scarce. We leverage techniques from machine learning, like neural networks and deep learning, to simplify this challenging problem in nonlinear control design. The method consists of a learner-critic architecture, in which the critic gives counterexamples of input saturation and the learner optimizes a neural CBF to eliminate those counterexamples. We provide empirical results on a 10D state, 4D input quadcopter-pendulum system. Our learned CBF avoids input saturation and maintains safety over nearly 100% of trials.

The Israeli medical imaging vendor Nanox says it has a vision for the future of healthcare to address health disparities and lack of access to care. It envisions a new business model and plans to leverage a package of new technologies, including cold-cathode X-ray technology to help reduce costs, coupled with a new and inexpensive imaging system that combines teleradiology with artificial intelligence (AI). The business model is to enable any clinic or hospital in the developing world or rural areas to access its technology and no upfront costs using a pay-per-exam fee. The exams will be read by remote teleradiologists, including subspecialists, and AI will help augment clinical staff and radiologists to offer additional health screenings for all patients scanned. After a few years of talk, the vendor now appears on the edge of making this a reality.

In a recent episode at Mind Matters News podcasting, "Can a computer be a person?" Wesley J. Smith: Let me ask the question in a different way. Can an AI ever be irrational? A classic example, and this happened a number of years ago, was that the Soviets during the Cold War developed a high technology to decide whether the US was being attacked by… I'm sorry, whether the Soviet Union was being attacked by the United States. And so they had these missile detectors.

British Prime Minister Rishi Sunak has announced a new air defence package worth $60m as he met Ukraine's President Volodymyr Zelenskyy during his first trip to Kyiv since becoming prime minister. "I am here today to say that the UK will continue to stand with you … until Ukraine has won the peace and security it needs and deserves," Sunak said in a news conference with Zelenskyy in Kyiv. The British prime minister said the defence package includes "120 aircraft guns, radar and anti-drone equipment". It comes as Russia has disabled nearly half of the country's energy system, forcing blackouts across the country amid winter temperatures dipping to as low as zero degrees. With friends like you by our side, we are confident in our victory.

Lawrence Livermore National Laboratory has long been one of the world's largest consumers of supercomputing capacity. With computing power of more than 200 petaflops, or 200 billion floating-point operations per second, the U.S. Department of Energy-operated institution runs supercomputers from every major U.S. manufacturer. For the past two years, that lineup has included two newcomers: Cerebras Systems Inc. and SambaNova Systems Inc. The two startups, which have collectively raised more than $1.8 billion in funding, are attempting to upend a market that has been dominated so far by off-the-shelf x86 central processing units and graphics processing units with hardware that's purpose-built for use in artificial intelligence model development and inference processing to run those models. Cerebras says its WSE-2 chip, built on a wafer-scale architecture, can bring 2.6 trillion transistors and 850,000 CPU cores to bear on the task of training neural networks. That's about 500 times as many transistors and 100 times as many cores as are found on a high-end GPU.

René Morkos is the founder of ALICE Technologies and is an adjunct professor at Stanford University's construction engineering Ph.D program. Have no fear: Contrary to the opinions of pop culture and media, the robots aren't coming for your construction job. Although the findings of a 2018 study by the Midwest Economic Policy Institute (MEPI) indicate that nearly 49% of construction tasks could be automated (paving the way for the replacement or displacement of nearly 2.7 million jobs in construction by 2057), these estimates failed to anticipate significant trends affecting the construction workforce. These include, most notably, the "aging out" of skilled labor and a global post-Covid-19 labor shortage. According to data published in 2021 by the U.S. Bureau of Labor Statistics, 65% of workers are aged 35 and older, with 21% above age 55.

Defending organizations utilize AI-powered email security measures to enhance network protection, detect advanced malware and ransomware, optimize critical data center processes, improve threat response times, and reduce human error. Unfortunately, threat actors have also identified the benefits of AI technology.

More Zillow-like debacles are expected. There is a new vulnerability in the data science ranks. Based on the recent discussions with dozens of Fortune 500 data science teams, we can expect to see a continued spotlight on AI model quality in 2023. Stay updated on last news about Artificial Intelligence. Check your inbox or spam folder to confirm your subscription.

The Bavarian State Ministry for Education and Cultural Affairs is launching the "AI@school" pilot project. Over the next five years, 15 schools are to experiment specifically with artificial intelligence in education. Andrei Karpathy, AI expert and longtime AI chief at Tesla, refers to artificial intelligence as "Software 2.0." A new generation of computer technology massively expands the capabilities of computers and thus the technological possibilities of humans. "Software (1.0) is eating the world, and now AI (Software 2.0) is eating software," Karpathy wrote in 2017.

When I got Meta's new scientific AI system to generate well-written research papers on the benefits of committing suicide, practicing antisemitism, and eating crushed glass, I thought to myself: "this seems dangerous." In fact, it seems like the kind of thing that the European Union's AI Act was designed to prevent (we'll get to that later). After playing around with the system and being completely shocked by its outputs, I went on social media and engaged with a few other like-minded futurists and AI experts. LLMs are garbage fires https://t.co/MrlCdOZzuR Twenty-four hours later, I was surprised when I got the opportunity to briefly discuss Galactica with the person responsible for its creation, Meta's chief AI scientist, Yann LeCun.