At an airport in South Carolina on Thursday, US representative Nancy Mace called police officers "fucking incompetent" and berated them repeatedly, according to an incident report. Nancy Mace, the South Carolina Republican congresswoman, unleashed a tirade against law enforcement at the Charleston International Airport on Thursday, WIRED has learned. According to an incident report obtained by WIRED under South Carolina's Freedom of Information Act, Mace cursed at police officers, making repeated derogatory comments toward them. The report says that a Transportation Security Administration (TSA) supervisor told officers that Mace had treated their staff similarly and that they would be reporting her to their superiors. According to the report, officers with the Charleston County Aviation Authority Police Department were tasked with meeting Mace at 6:30 am to escort her from the curb to her flight and had been told that she would be arriving in a white BMW at the ticketing curb area.

Elon Musk and his companies face at least 2.37bn in legal exposure from federal investigations, litigation and regulatory oversight, according to a new report from Senate Democrats. The report attempts to put a number to Musk's many conflicts of interest through his work with his so-called "department of government efficiency" (Doge), warning that he may seek to use his influence to avoid legal liability. The report, which was published on Monday by Democratic members of the Senate homeland security committee's permanent subcommittee on investigations, looked at 65 actual or potential actions against Musk across 11 separate agencies. Investigators calculated the financial liabilities Musk and his companies, such as Tesla, SpaceX and Neuralink, may face in 45 of those actions. Since Donald Trump won re-election last year and Musk took on the role of de facto head of Doge in January, ethics watchdogs and Democratic officials have warned that the Tesla CEO could use his power to oust regulators and quash investigations into his companies.

FIRST ON FOX: A pro-tech advocacy group has released a new report warning of the growing threat posed by China's artificial intelligence technology and its open-source approach that could threaten the national and economic security of the United States. The report, published by American Edge Project, states that "China is rapidly advancing its own open-source ecosystem as an alternative to American technology and using it as a Trojan horse to implant its CCP values into global infrastructure." "Their progress is both significant and concerning: Chinese-developed open-source AI tools are already outperforming Western models on key benchmarks, while operating at dramatically lower costs, accelerating global adoption. Through its Belt and Road Initiative (BRI), which spans more than 155 countries on four continents, and its Digital Silk Road (DSR), China is exporting its technology worldwide, fostering increased global dependence, undermining democratic norms, and threatening U.S. leadership and global security." The report outlines how Chinese AI models censor historical events that could paint China in a bad light, deny or minimize human rights abuses, and filter criticism of Chinese political leaders.

The whistleblower report on the US government's top-secret UFO data retrieval program has revealed shocking evidence of Non-Human Intelligence (NHI) on Earth. The report details the findings of'Immaculate Constellation,' an Unacknowledged Special Access Program (USAP) established to'detect' and'quarantine' the military's best UFO imagery, videos, eyewitness testimonies and electronic sensor evidence. It features numerous eyewitness accounts from 1991 through 2022, including flying metallic orbs, 'jellyfish'-shaped aircraft, and UFOs that reportedly altered witnesses' perception of time. The public-version of the report also discusses how infrared satellites captured footage of a massive 400-foot-wide saucer-shaped UFO soaring out of a dense cloud. 'This behavior was evasive in nature and implied that the saucer-shaped UAP had become aware that it was under observation by a space-based collection platform,' reads the report.

Claims that artificial intelligence will help solve the climate crisis are misguided, with the technology instead likely cause rising energy use and turbocharge the spread of climate disinformation, a coalition of environmental groups has warned. Advances in AI have been touted by big tech companies and the United Nations as a way to help ameliorate global heating, via tools that help track deforestation, identify pollution leaks and track extreme weather events. AI is already being used to predict droughts in Africa and to measure changes to melting icebergs. Google, which has developed its own AI program called Bard (recently rebranded to Gemini) and has an AI project to make traffic lights more efficient, has been at the forefront of promoting emissions reductions through AI adoption, releasing a report last year that found AI could cut global emissions by as much as 10%, equivalent to the entire carbon pollution put out by the European Union by 2030. "AI has a really major role in addressing climate change," said Kate Brandt, Google's chief sustainability officer, said in December, describing the technology at an "inflection point" in making major progress in environmental goals.

Tesla is recalling more than two million vehicles, nearly all of the vehicles it has sold in the US to date, to fix a flawed system designed to make sure drivers are paying attention when they use Autopilot. Rather than physically recalling vehicles, documents posted today by the National Highway Traffic Safety Administration (NHTSA) state that Tesla will send out a software update in an attempt to fix the problem. The recall covers nearly all of the vehicles Tesla sold in the US, including the Model X, Model S, Model Y, and Model 3, and impacts those produced between October 5, 2012, and December 7 2023. It comes after a two-year investigation by the NHTSA into a series of crashes that supposedly happened while Autopilot system was in use. Since 2016, the NHTSA has opened more than 40 special crash investigations involving Teslas and where advanced driver assistance such as Autopilot were suspected of being switched on.

Tabular data is often hidden in text, particularly in medical diagnostic reports. Traditional machine learning (ML) models designed to work with tabular data, cannot effectively process information in such form. On the other hand, large language models (LLMs) which excel at textual tasks, are probably not the best tool for modeling tabular data. Therefore, we propose a novel, simple, and effective methodology for extracting structured tabular data from textual medical reports, called TEMED-LLM. Drawing upon the reasoning capabilities of LLMs, TEMED-LLM goes beyond traditional extraction techniques, accurately inferring tabular features, even when their names are not explicitly mentioned in the text. This is achieved by combining domain-specific reasoning guidelines with a proposed data validation and reasoning correction feedback loop. By applying interpretable ML models such as decision trees and logistic regression over the extracted and validated data, we obtain end-to-end interpretable predictions. We demonstrate that our approach significantly outperforms state-of-the-art text classification models in medical diagnostics. Given its predictive performance, simplicity, and interpretability, TEMED-LLM underscores the potential of leveraging LLMs to improve the performance and trustworthiness of ML models in medical applications.

Since the spring of 2020, the COVID-19 pandemic has upended the traditional workplace, affecting nearly every industry. The tech sector, which has been ahead of the curve in terms of flexible work policy, has been on the roller coaster as well but has remained remarkably resilient. Deloitte's 14th annual Tech Trends report, released on Wednesday, takes a look at the current state of enterprises when it comes to IT. The Deloitte report focuses on the experience of global organizations, across industries, in order to ascertain what tech trends are on the horizon. Deloitte employs a "wide-angle lens" to predict what's happening, according to Mike Bechtel, chief futurist and managing director at Deloitte.

The development and deployment of "educational pathways and materials" for healthcare staff on the use of AI is the main recommendation from an NHS report. The'Understanding Healthcare Workers' Confidence in AI' report is the first of two reports to be released in light of the Topol Review in 2019 which recommended the use of digital technologies such as AI and robotics to achieve digital transformation. The report, which was developed by Health Education England and NHS AI Lab, explores the confidence healthcare workers have in AI and what could drive that to help support the further implementation of AI within the NHS. It suggests that clinicians require training and education opportunities to help manage the gap between their opinion or intuition on a patient's condition and the recommendations made by AI technology. "The main recommendation of this report is therefore to develop and deploy educational pathways and materials for healthcare professionals at all career points and in all roles, to equip the workforce to confidently evaluate, adopt and use AI," the report states.

Although it's supposed to be restricted by surveillance rules at local, state and federal levels, Immigration and Customs Enforcement ( ICE) has built up a mass surveillance system that includes details on almost all US residents, according to a report from a major think tank. Researchers from Georgetown Law's Center on Privacy and Technology said ICE "now operates as a domestic surveillance agency" and that it was able to bypass regulations in part by purchasing databases from private companies. "Since its founding in 2003, ICE has not only been building its own capacity to use surveillance to carry out deportations but has also played a key role in the federal government's larger push to amass as much information as possible about all of our lives," the report's authors state. "By reaching into the digital records of state and local governments and buying databases with billions of data points from private companies, ICE has created a surveillance infrastructure that enables it to pull detailed dossiers on nearly anyone, seemingly at any time." The researchers spent two years looking into ICE to put together the extensive report, which is called "American Dragnet: Data-Driven Deportation in the 21st Century."