A Victorian lawyer has become the first in Australia to face professional sanctions for using artificial intelligence in a court case, being stripped of his ability to practise as a principal lawyer after AI generated false citations that he had failed to verify. Guardian Australia reported in October last year that in a 19 July 2024 hearing, the anonymous solicitor representing a husband in a dispute between a married couple provided the court with a list of prior cases that had been requested by Justice Amanda Humphreys in relation to an enforcement application in the case. When Humphreys returned to her chambers, she said in a ruling that neither herself nor her associates were able to identify the cases in the list. When the matter returned to court the lawyer confirmed that the list had been prepared using legal software that utilised AI. He acknowledged he did not verify the accuracy of the information before submitting it to the court.

For lack of alternative models, search and decision processes have provided the dominant paradigm for human memory access using two or more cues, despite evidence against search as an access process (Humphreys, Wiles & Bain, 1990). We present an alternative process to search, based on calculating the intersection of sets of targets activated by two or more cues. Two methods of computing the intersection are presented, one using information about the possible targets, the other constraining the cue-target strengths in the memory matrix. Analysis using orthogonal vectors to represent the cues and targets demonstrates the competence of both processes, and simulations using sparse distributed representations demonstrate the performance of the latter process for tasks involving 2 and 3 cues.

In the cool, dark hours after midnight on June 20, 2012, Todd Humphreys made the final preparations for his attack on the Global Positioning System. He stood alone in the middle of White Sands Missile Range, in southern New Mexico, sixty miles north of Juárez. All around him were the glowing gypsum dunes of the Chihuahuan Desert. On a hill about a kilometre away, his team was gathered around a flat metal box the size of a carry-on suitcase. The electronic machinery inside the box was called a spoofer--a weapon by another name. Soon, a Hornet Mini, a drone-operated helicopter popular with law-enforcement and rescue agencies, was scheduled to appear forty feet above them.

Team-based multiplayer shooter Overwatch is getting a sequel: and interestingly for fans, it'll bring story missions into the game for the first time. According to Blizzard, it will also "redefine what a sequel means". Which is quite a claim for an online shooter. Unveiled with a crowd-pleasing cinematic trailer at annual fan convention BlizzCon last week, Overwatch 2 will introduce PvE missions in an all-new story mode, as well as a new core competitive mode, Push, a six-versus-six PvP team battle, which sees teams compete to have a robot push the map's objective to their opponent. Before now, the original 2016 first person shooter focused on PvP gameplay, with spin-off comic books and animated shorts filling in backstories for the popular crew of ragtag leads.

If you are reading this, you are on the internet, and this is thanks to Sir Tim Berners-Lee, True North 2019's keynote speaker. He invented the World Wide Web, which spawned the internet revolution, fundamentally changing the way we communicate and do business. With the growing adoption and breakthroughs in artificial intelligence and digital technologies, AI is poised to be the most disruptive revolution since the invention of the internet. What does this mean for humans in the workforce? University of Waterloo speakers at True North 2019 explore how AI is already transforming industry and what this means for the future of work.

The crash marked the first pedestrian death involving a self-driving car and ignited a broader discussion about whether the driverless technology that auto and tech companies are racing to develop is ready for the real world. It also illustrates the challenges Uber has faced in developing software that can detect hazards on the road and respond appropriately, as the ride-hailing company chases rivals such as Alphabet Inc.'s Waymo and General Motors Co.'s Cruise Automation, which aim to deploy robot taxis that could pose as a threat to Uber's business. Uber was testing a fleet of Volvo Cars sport-utility vehicles that come equipped with automatic emergency braking and other safety features. The vehicles, however, were modified by the ride-hailing company, which equipped them with cameras, sensors and onboard computers. An operator rides in each vehicle, prepared to take the wheel to ensure safety as needed.

A group of researchers from the UK and the US have used machine learning techniques to successfully predict earthquakes. Although their work was performed in a laboratory setting, the experiment closely mimics real-life conditions, and the results could be used to predict the timing of a real earthquake. The team, from the University of Cambridge, Los Alamos National Laboratory and Boston University, identified a hidden signal leading up to earthquakes, and used this'fingerprint' to train a machine learning algorithm to predict future earthquakes. Their results, which could also be applied to avalanches, landslides and more, are reported in the journal Geophysical Review Letters. For geoscientists, predicting the timing and magnitude of an earthquake is a fundamental goal.

TEPIC, MEXICO – Rocks under increasing pressure before earthquakes strike send out low-pitched rumbling sounds that the human ear cannot detect but could be used to predict when a tremor will strike, scientists said Monday. Researchers recreated powerful earthquake forces in a laboratory and used high-tech algorithms to pick out the acoustic clues amid all the other noise of a pending quake, according to findings published in Geophysical Research Letters, a journal published by the American Geophysical Union. The sounds are emitted typically a week before an earthquake occurs, so deciphering them would allow scientists to pinpoint the timing of a tremor, the research paper said. Scientists currently can calculate the probability of an earthquake in a particular area but not when it will happen, according to the U.S. Geological Survey. "People have said you can't predict earthquakes. We're now saying we believe for the first time we can predict an earthquake in a laboratory," said Colin Humphreys, professor of materials science at Cambridge University and one of the paper's authors.

A group of researchers from the UK and the US have used machine learning techniques to successfully predict earthquakes. Although their work was performed in a laboratory setting, the experiment closely mimics real-life conditions, and the results could be used to predict the timing of a real earthquake. The team, from the University of Cambridge, Los Alamos National Laboratory and Boston University, identified a hidden signal leading up to earthquakes, and used this'fingerprint' to train a machine learning algorithm to predict future earthquakes. Their results, which could also be applied to avalanches, landslides and more, are reported in the journal Geophysical Review Letters. For geoscientists, predicting the timing and magnitude of an earthquake is a fundamental goal.

SAN FRANCISCO – Researchers have discovered a disturbing pattern: dozens of ships whose GPS signals tell them they're on land -- at an airport no less -- even when they're far out to sea. An investigation released this week by the Washington D.C.-based Resilient Navigation and Timing Foundation and Windward Ltd., a maritime data and analytics company, has found multiple instances of so-called GPS spoofing in Russian waters. As recently as Monday, two vessels' GPS told them they were at Sochi Airport near the site of the 2014 Sochi Olympics, 12 miles away from the harbor where the vessels actually were. Researchers are calling these "mass GPS interferences" and they appear to be linked to the intentional transmission of false GPS signals to provide incorrect time or location information, possibly to veil certain facilities from attack. Familiar to anyone using a smartphone or built-in auto navigation system to map out a route, the satellite-based system is also the main way ships and trucking fleets find their way.