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Multi-agent path finding in continuous environments

Robohub

Imagine if all of our cars could drive themselves โ€“ autonomous driving is becoming possible, but to what extent? To get a vehicle somewhere by itself may not seem so tricky if the route is clear and well defined, but what if there are more cars, each trying to get to a different place? And what if we add pedestrians, animals and other unaccounted for elements? This problem has recently been increasingly studied, and already used in scenarios such as warehouse logistics, where a group of robots move boxes in a warehouse, each with its own goal, but all moving while making sure not to collide and making their routes โ€“ paths โ€“ as short as possible. Multi-agent path finding describes a problem where we have a group of agents โ€“ robots, vehicles or even people โ€“ who are each trying to get from their starting positions to their goal positions all at once without ever colliding (being in the same position at the same time).


RAG can make AI models riskier and less reliable, new research shows

ZDNet

Retrieval-Augmented Generation (RAG) is rapidly emerging as a robust framework for organizations seeking to harness the full power of generative AI with their business data. As enterprises seek to move beyond generic AI responses and leverage their unique knowledge bases, RAG bridges general AI capabilities and domain-specific expertise. Hundreds, perhaps thousands, of companies are already using RAG AI services, with adoption accelerating as the technology matures. The bad news: According to Bloomberg Research, RAG can also vastly increase the chances of getting dangerous answers. Before diving into the dangers, let's review what RAG is and its benefits.


New prostate cancer test pinpoints disease better than PSA option, study finds

FOX News

Mount Sinai urology chair Dr. Ash Tewari joins'Fox News Live' to discuss the PSA test designed to catch the'silent killer.' A new means of prostate cancer screening could emerge as an alternative to the PSA test, which has long been the first-line option. Using machine learning, a form of artificial intelligence, Swedish researchers analyzed urine samples from more than 2,000 men with prostate cancer, along with a control group. They determined that the simple, non-invasive urine test was able to detect biomarkers of prostate cancer with a high degree of accuracy -- and could also determine the grade (stage) of the disease. The results were published in the journal Cancer Research.


Drone near-misses surge at busiest US airports amid rise in unauthorized flights

FOX News

Following several months of numerous high-profile aviation accidents, new data suggest pilots are facing a specific threat when it comes to keeping airline passengers safe in the skies. Last year, drones accounted for approximately two-thirds of reported near-midair collisions with commercial aircraft taking off or landing within the country's 30 busiest airports, according to the Associated Press. The findings come as aviation safety data indicate drones accounted for the highest number of near-misses since 2020, with the first reports dating back to 2014. "The rise in recreational and commercial drone use has simply outpaced education and enforcement," aviation attorney Jason Matzus told Fox News Digital. "More people are flying drones without fully understanding the rules or the risks."


Housework robots are a step closer as they learn to work in any home

New Scientist

Robots equipped with the ฯ€0.5 AI model were tested in homes they had never seen before An AI enabling robots to do chores like making the bed or cleaning up spills in homes it has never seen before could allow many more robots to become generally useful, its creators say. Large language models (LLMs) like ChatGPT have improved robots' ability to carry out spoken requests. However, most robots work well only in environments in which they have been trained; their performance quality sharply falls when confronted with new and unfamiliar spaces.



Gee-whiz AI event canceled after host accused of doing something not so bright

The Japan Times

An artificial intelligence conference in which digital clones were to be introduced has been canceled as the corporate host of the event faces accusations of accounting irregularities. Tokyo Stock Exchange-listed Alt is under investigation for overstating sales of its main product, an AI transcription service. The stock has lost almost three-quarters of its value since the probe was disclosed on last Friday. The company was scheduled to hold a conference on May 16 in Nihonbashi, where CEO Kazutaka Yonekura was set to introduce the Personaloid, a new offering that uploads a digital version of a person so that the clone can handle routine tasks for the human.


Japan's Dentsu to promote tuna-grading AI tech overseas

The Japan Times

Advertising giant Dentsu will promote in foreign markets an artificial intelligence technology that can assess the quality of tuna. Dentsu hopes that countries with tuna fishing industries will adopt the technology, called Tuna Scope, which has been put into practical use in Japan only recently. Tuna Scope is a smartphone app that can immediately grade tuna on a three- or five-level scale. Dentsu and others developed the app through deep learning, feeding it with cross-sectional images of tuna tails that are often used to assess tuna quality, as well as data on grading given by veteran tuna evaluators.


Cloobeck sues Villaraigosa over use of the phrase 'proven problem solver'

Los Angeles Times

In an unusual twist in the governor's race, a wealthy Democratic businessman is suing former Los Angeles Mayor Antonio Villaraigosa over the use of a common phrase in political campaigns. Stephen Cloobeck, a philanthropist and Democratic donor who made his fortune in real estate and hospitality, filed a lawsuit against Villaraigosa this week after the former mayor repeatedly described himself as a "proven problem solver" in campaign materials. Cloobeck, who has applied for a federal trademark of the phrase "I am a proven problem solver," texted the federal lawsuit to Villaraigosa late Tuesday, though the former mayor has not been served yet. The lawsuit argues that Cloobeck has been using the phrase since March 2024, and that "it has acquired extensive goodwill, developed a high degree of distinctiveness, and become famous, well known, and recognized as identifying Cloobeck's campaign." "In light of the fame, acquired goodwill, and overall consumer recognition of [the phrase Cloobeck is seeking to patent, he] is very concerned that the public will likely be confused or mistakenly believe that Villaraigosa's campaign is endorsed, approved, sponsored by, or affiliated, connected, or associated with" Villaraigosa, the suit alleges.


Sam Altman's Eye-Scanning Orb Is Now Coming to the US

WIRED

Sam Altman's iris-scanning, identify-verification technology startup says it will begin expanding to the US starting May 1 and will launch a phone-like hardware device by next year. Those changes--and a promised World-branded debit card--signal the company's ambitions to develop a "super app"--a goal shared by Elon Musk. Altman and Alex Blania, a German physics researcher, announced at an event in San Francisco Wednesday evening that their venture-backed company, Tools for Humanity, is updating its "World" products to include a new, smaller, eye-scanning orb. The device-and-app combo scans people's irises, creates a unique user ID, stores that information on the blockchain, and uses it as a form of identity verification. If enough people adopt the app globally, the thinking goes, it could ostensibly thwart scammers.