Our main contribution is the introduction of the map of elections framework. A map of elections consists of three main elements: (1) a dataset of elections (i.e., collections of ordinal votes over given sets of candidates), (2) a way of measuring similarities between these elections, and (3) a representation of the elections in the 2D Euclidean space as points, so that the more similar two elections are, the closer are their points. In our maps, we mostly focus on datasets of synthetic elections, but we also show an example of a map over real-life ones. To measure similarities, we would have preferred to use, e.g., the isomorphic swap distance, but this is infeasible due to its high computational complexity. Hence, we propose polynomial-time computable positionwise distance and use it instead. Regarding the representations in 2D Euclidean space, we mostly use the Kamada-Kawai algorithm, but we also show two alternatives. We develop the necessary theoretical results to form our maps and argue experimentally that they are accurate and credible. Further, we show how coloring the elections in a map according to various criteria helps in analyzing results of a number of experiments. In particular, we show colorings according to the scores of winning candidates or committees, running times of ILP-based winner determination algorithms, and approximation ratios achieved by particular algorithms.

Considering the widespread integration of aerial robots in inspection, search and rescue, and monitoring tasks, there is a growing demand to design intuitive human-drone interfaces. These aim to streamline and enhance the user interaction and collaboration process during drone navigation, ultimately expediting mission success and accommodating users' inputs. In this paper, we present a novel human-drone mixed reality interface that aims to (a) increase human-drone spatial awareness by sharing relevant spatial information and representations between the human equipped with a Head Mounted Display (HMD) and the robot and (b) enable safer and intuitive human-drone interactive and collaborative navigation in unknown environments beyond the simple command and control or teleoperation paradigm. We validate our framework through extensive user studies and experiments in a simulated post-disaster scenario, comparing its performance against a traditional First-Person View (FPV) control systems. Furthermore, multiple tests on several users underscore the advantages of the proposed solution, which offers intuitive and natural interaction with the system. This demonstrates the solution's ability to assist humans during a drone navigation mission, ensuring its safe and effective execution.

The release of top-performing open-weight LLMs has cemented China's role as a leading force in AI development. Do these models support languages spoken in China? Or do they speak the same languages as Western models? Comparing multilingual capabilities is important for two reasons. First, language ability provides insights into pre-training data curation, and thus into resource allocation and development priorities. Second, China has a long history of explicit language policy, varying between inclusivity of minority languages and a Mandarin-first policy. To test whether Chinese LLMs today reflect an agenda about China's languages, we test performance of Chinese and Western open-source LLMs on Asian regional and Chinese minority languages. Our experiments on Information Parity and reading comprehension show Chinese models' performance across these languages correlates strongly (r=0.93) with Western models', with the sole exception being better Mandarin. Sometimes, Chinese models cannot identify languages spoken by Chinese minorities such as Kazakh and Uyghur, even though they are good at French and German. These results provide a window into current development priorities, suggest options for future development, and indicate guidance for end users.

The Guardian reported that the UK's Ministry of Justice has been developing an algorithm designed to identify people who could become killers. Initially dubbed the "homicide prediction project," this tool used data from UK police forces, possibly including victims and witnesses as well as suspects. Civil liberty watchdog Statewatch discovered the program through Freedom of Information Act requests. Based on the documents acquired by the group, Statewatch claimed that the program developed its prediction tool based on police data about between 100,000 and 500,000 people. Different categories of information shared with the Ministry of Justice appeared to also cover sensitive topics such as mental health, addiction, suicide and disability.

Donald Trump signed four executive orders on Tuesday aimed at reviving coal, the dirtiest fossil fuel that has long been in decline, and which substantially contributes to planet-heating greenhouse gas emissions and pollution. Environmentalists expressed dismay at the news, saying that Trump was stuck in the past and wanted to make utility customers "pay more for yesterday's energy". The US president is using emergency authority to allow some older coal-fired power plants scheduled for retirement to keep producing electricity. The move, announced at a White House event on Tuesday afternoon, was described by White House officials as being in response to increased US power demand from growth in datacenters, artificial intelligence and electric cars. Trump, standing in front of a group of miners in hard hats, said he would sign an executive order "that slashes unnecessary regulations that targeted the beautiful, clean coal".

Dr. Mehmet Oz, the new administrator for the Centers for Medicare and Medicaid Services (CMS), spent much of his first all-staff meeting on Monday promoting the use of artificial intelligence at the agency and praising Robert F. Kennedy Jr.'s "Make America Healthy Again Initiative," sources tell WIRED. During the meeting, Oz discussed possibly prioritizing AI avatars over frontline health care workers. Oz claimed that if a patient went to a doctor for a diabetes diagnosis, it would be 100 per hour, while an appointment with an AI avatar would cost considerably less, at just 2 an hour. Oz also claimed that patients have rated the care they've received from an AI avatar as equal to or better than a human doctor. Because of technologies like machine learning and AI, Oz claimed, it is now possible to scale "good ideas" in an affordable and fast way.

Kurt'CyberGuy' Knutsson on President-elect Trump's plan to deregulate cryptocurrency and A.I. in his second administration. EXCLUSIVE: China's innovation in artificial intelligence is "accelerating," according to Michael Kratsios, director of the White House Office of Science and Technology. He told Fox News Digital that the United States' "promote and protect" strategy will solidify its standing as the world's dominant power in AI. Kratsios, who served as chief technology officer during the first Trump administration, sat for an exclusive interview with Fox News Digital on Monday. FLASHBACK: US TECHNOLOGY CHIEF WARNS CHINA'TWISTING' ARTIFICIAL INTELLIGENCE TO TARGET CRITICS, AS AMERICA JOINS GLOBAL PACT "The White House in the first Trump administration redefined national tech policy to focus on American leadership in emerging technologies, and those were technologies like artificial intelligence, quantum computing and 5G, [which] were big back then," Kratsios said.

FIRST ON FOX: The Department of Energy, the Department of the Interior and the Environmental Protection Agency are set to announce a bevy of new actions Tuesday afternoon that will "unleash" coal energy following President Donald Trump's expected signature on an executive order reinvigorating "America's beautiful clean coal industry," Fox News Digital learned. "The American people need more energy, and the Department of Energy is helping to meet this demand by unleashing supply of affordable, reliable, secure energy sources -- including coal," Department of Energy Secretary Chris Wright said in a Tuesday statement provided to Fox News Digital. "Coal is essential for generating 24/7 electricity generation that powers American homes and businesses, but misguided policies from previous administrations have stifled this critical American industry," he said. "With President Trump's leadership, we are cutting the red tape and bringing back common sense." Trump is expected to sign an executive order Tuesday afternoon that will cut through red tape surrounding the coal industry, including directing the National Energy Dominance Council to designate coal as a "mineral," end a current pause to coal leasing on federal lands, promote coal and coal technology exports, and encourage the use of coal to power artificial intelligence initiatives, Fox News Digital learned of the upcoming executive order.

Chips themselves, the key computing hardware inside AI datacenters, are exempt from Trump's tariffs--but only if they are imported to the U.S. as standalone products. However, most chips are not imported into the U.S. as raw materials; instead, they arrive already-packaged inside products like servers, which are subject to tariffs. Worried AI investors received good news on Monday in a note circulated by analyst Stacy Rasgon, who pointed out that most Nvidia servers are likely to escape the bite of Trump's tariffs. That's because most appear to be assembled in Mexico, and therefore benefit from a tariff exemption under a free trade agreement. That's a "silver lining" to the news, says Rasgon, a semiconductor industry analyst at Bernstein Research.

A new report from Reuters has shed light on how Elon Musk's Department of Government Efficiency (DOGE) is employing tech in its processes, including the alleged use of artificial intelligence to monitor communications. The initiative is said to be keeping an eye out for chatter that's considered hostile toward Musk or President Donald Trump. Some managers at the Environmental Protection Agency have reportedly been told that DOGE is deploying AI to monitor communication apps and software such as the widely used Microsoft Teams for anti-Musk or anti-Trump sentiment. It's said that DOGE is watching out for individuals whose work didn't square with the administration's agenda. One manager reportedly told EPA staffers to "Be careful what you say, what you type and what you do."