We're already seeing AI being used in weapons, and the idea of a future war fought with AI is only a matter of time. What if AI decides to launch a nuke or chemical weapons because that's the optimized outcome? Even if you don't believe the US government would rely solely on this technology, could you say the same about every government?
The Air Force needs to better prepare to defend AI programs and algorithms from adversaries that may seek to corrupt training data, the service's deputy chief of staff for intelligence, surveillance, reconnaissance and cyber effects said Wednesday. "There's an assumption that once we develop the AI, we have the algorithm, we have the training data, it's giving us whatever it is we want it to do, that there's no risk. There's no threat," said Lt. Gen. Mary F. O'Brien, the Air Force's deputy chief of staff for intelligence, surveillance, reconnaissance and cyber effects operations. That assumption could be costly to future operations. Speaking at the Air Force Association's Air, Space and Cyber conference, O'Brien said that while deployed AI is still in its infancy, the Air Force should prepare for the possibility of adversaries using the service's own tools against the United States.
A joint project between Tesla and Samsung, which aims to create a full self-driving (FSD) chip is currently under negotiation, according to reports. The said chip, which will be produced by the South Korean electronics giant and designed by the American electric vehicle company as per Electrek, will power Tesla's next computer, dubbed Hardware 3. This computer will be able to deliver full self-driving capacity through future software updates. In a statement at Tesla AI Day, CEO and product architect Elon Musk expressed his confidence that the computer will be able to attain full self-driving. "I am confident that Hardware 3, or the Full Self-Driving computer 1, will be able to full self-driving at a safety level much greater than humans. I don't know, probably 200 or 300% better than a human," Musk said.
The BDN Opinion section operates independently and does not set newsroom policies or contribute to reporting or editing articles elsewhere in the newspaper or on bangordailynews.com. Keith E. Sonderling is a commissioner on the U.S. Equal Employment Opportunity Commission.The views here are the author's own and should not be attributed to the EEOC or any other member of the commission. With 86 percent of major U.S. corporations predicting that artificial intelligence will become a "mainstream technology" at their company this year, management-by-algorithm is no longer the stuff of science fiction. AI has already transformed the way workers are recruited, hired, trained, evaluated and even fired. One recent study found that 83 percent of human resources leaders rely in some form on technology in employment decision-making.
Enter increasingly affordable and sophisticated drones and miniaturized geophysical sensors. The Binghamton team's first focus: the Russian-made PFM-1 mine, a device just five inches across, made largely of plastic, and shaped like a butterfly. Designed to be dropped from the air in large numbers, they flutter gently to the ground like flocks of birds, and await the unwary. Designed mainly to maim, not kill, they are difficult to spot with a magnetometer, because they contain little metal. And because they resemble plastic toys, many children handle them, and get blown up.
A computer program trained to see patterns among thousands of breast ultrasound images can aid physicians in accurately diagnosing breast cancer, a new study shows. When tested separately on 44,755 already completed ultrasound exams, the artificial intelligence (AI) tool improved radiologists' ability to correctly identify the disease by 37 percent and reduced the number of tissue samples, or biopsies, needed to confirm suspect tumors by 27 percent. Led by researchers from the Department of Radiology at NYU Langone Health and its Laura and Isaac Perlmutter Cancer Center, the team's AI analysis is believed to be the largest of its kind, involving 288,767 separate ultrasound exams taken from 143,203 women treated at NYU Langone hospitals in New York City between 2012 and 2018. The team's report publishes online Sept. 24 in the journal Nature Communications. "Our study demonstrates how artificial intelligence can help radiologists reading breast ultrasound exams to reveal only those that show real signs of breast cancer and to avoid verification by biopsy in cases that turn out to be benign," says study senior investigator Krzysztof Geras, PhD.
Like a band with too few hit singles, the European Union is resorting to playing the classics over and over again. The bloc has, like clockwork, tabled a proposal for legislators to think about maybe possibly having a debate about if it's worth creating a common charging standard. This has happened more than a few times before, as it pushed micro-USB as a voluntary standard in 2009 and tried to pass it into law in 2014. And it started this process again in January 2020, although some world-shattering event got in the way of that process. The new proposal would require that "all smartphones, tablets, cameras, headphones, portable speakers and handheld video game consoles" would use USB-C for charging.
David, who spoke on the condition that his last name remain anonymous, was working as a customer service agent for a financial tech company in Utah when the pandemic started, and he was sent to work from home. Last fall, after his company switched the software it asked employees to use on their work-issued computers, he was randomly clicking around the system trying to figure out how to get where he needed to be. Suddenly, his boss started speaking to him through his headset, instructing him on how to log in. David said he couldn't recall exactly what software the company used, but he was surprised to find that his boss could see what he was doing, a seemingly new capability at the company.
Bay Area artist Agnieszka Pilat started her career as a classical painter and illustrator, spending her days secluded in a studio painting portraits. Originally from Poland, she struggled to break into the competitive San Francisco art scene: Galleries weren't interested in her work and she felt isolated, until a local art collector approached her with a proposition. He wasn't interested in the ballerinas she often painted, but liked her expressive painting style. He renovated buildings by day, and often kept old artifacts he picked up from these sites in his office. He invited Pilat to come and paint him something from his collection of misfit objects.