Taiwan Semiconductor Manufacturing Co. (TSMC) could face a penalty of 1 billion or more to settle a U.S. export control investigation over a chip it made that ended up inside a Huawei artificial intelligence processor, according to two people familiar with the matter. The U.S. Department of Commerce has been investigating the world's biggest contract chipmaker's work for China-based Sophgo, the sources said. The design company's TSMC-made chip matched one found in Huawei's high-end Ascend 910B artificial intelligence processor, according to the people, who requested anonymity because they were not authorized to speak publicly about the matter. Huawei -- a company at the center of China's AI chip ambitions that has been accused of sanctions busting and trade secret theft -- is on a U.S. trade list that restricts it from receiving goods made with U.S. technology. TSMC made nearly 3 million chips in recent years that matched the design ordered by Sophgo and likely ended up with Huawei, according to Lennart Heim, a researcher at RAND's Technology and Security and Policy Center in Arlington, Virginia, who is tracking Chinese developments in AI.

Transportation Secretary Sean Duffy delves into his take on DEI, DOGE, infrastructure projects and his first weeks in his new role on'My View with Lara Trump.' Transportation Secretary Sean Duffy announced plans to bolster airport air traffic control systems with the latest technology over the next four years, while also using artificial intelligence (AI) to identify "hot spots" where close encounters between aircraft occur frequently. The announcement came after an update on an investigation into a crash near Ronald Reagan Washington National Airport in Arlington, Virginia, when a U.S. Army helicopter and an American Airlines-operated passenger jet collided over the Potomac River Jan. 29. "We're here because 67 souls lost their lives on Jan. 29," Duffy told reporters Tuesday, noting that the National Transportation Safety Board (NTSB) unveiled its preliminary findings into the crash earlier in the day. The findings noted that, over the last 2½ years, there have been 85 near misses or close calls at Reagan National. Close calls were identified as incidents when there are less than 200 feet of vertical separation and 1,500 feet of lateral separation between aircraft.

The Association for the Advancement of Artificial Intelligence's 2024 Fall Symposium Series was held at Westin Arlington Gateway, Arlington, Virginia, November 7-9, 2024. There were seven symposia in the fall program: AI Trustworthiness and Risk Assessment for Challenging Contexts (ATRACC), Artificial Intelligence for Aging in Place, Integrated Approaches to Computational Scientific Discovery, Large Language Models for Knowledge Graph and Ontology Engineering (LLMs for KG and OE), Machine Intelligence for Equitable Global Health (MI4EGH), Unifying Representations for Robot Application Development, Using AI to Build Secure and Resilient Agricultural Systems: Leveraging AI to mitigate Cyber, Climatic and Economic Threats in Food, Agricultural, and Water (FAW) Systems. This report contains summaries of the workshops, which were submitted by some, but not all, of the workshop chairs. The rapid embrace of AI-based critical systems introduces new dimensions of errors that induce increased levels of risk, limiting trustworthiness. Thus, AI-based critical systems must be assessed across many dimensions by different parties (researchers, developers, regulators, customers, insurance companies, end-users, etc.) for different reasons. Assessment of trustworthiness should be made at both the full system level and at the level of individual AI components. The focus of this symposium was on AI trustworthiness broadly and methods that help provide bounds for fairness, reproducibility, reliability, and accountability in the context of quantifying AI-system risk, spanning the entire AI lifecycle from theoretical research formulations all the way to system implementation, deployment, and operation. This first AAAI symposium on AI Trustworthiness and Risk Assessment in Challenging Contexts was triggered by two initiatives on responsible and trustworthy AI that came together thanks to encouragement given by AAAI: an international community (mostly European and Asia-South Pacific) around AI trustworthiness assessment for critical systems, already gathered at the AITA SSS Symposium in 2023; and a US-based community around University of West Florida, gathered about the question of AI risk assessment in challenging contexts e.g., for security or defense applications.

Cognitive Architectures are the forefront of the research into developing an artificial cognition. However, they approach the problem from a separated memory and program model of computation. This model of computation poses a fundamental problem: the knowledge retrieval heuristic. In this paper we propose to solve this problem by using a novel model of computation, one where memory and program are merged: the Function-Representation. This model of computation involves defining a generic Function-Representation and instantiating multiple instances of it. In this paper we explore the potential of this novel model of computation through mathematical definitions and proofs. We also explore the kind of functions a Function-Representation can implement, and present different ways to organise multiple instances of a Function-Representation.

Artificial Intelligence words are seen in this illustration taken on March 31, 2023. RISE OF THE MACHINES: The U.S. government has a "clear and urgent need" to act, as swiftly developing artificial intelligence could potentially lead to human extinction through weaponization and loss of control, according to a government-commissioned report. 'SMALL, SMART, CHEAP': The Pentagon will look to develop new artificial intelligence-guided planes, offering two contracts that several private companies have been competing to obtain. The Pentagon is seen from a flight taking off from Ronald Reagan Washington National Airport in Arlington, Virginia. While this technology offers many astonishing benefits, it also poses significant dangers.

When Amazon launched the Alexa virtual assistant nine years ago, its ability to decode voice commands to set a timer or play a song seemed almost magical. Today, the bar for impressive language skills is much higher, thanks to OpenAI's ChatGPT. Amazon is giving its voice assistant a reboot that takes advantage of the technology behind the new wave of chatbots that can engage in remarkably lifelike conversation. Amazon announced the upgrade to Alexa at an event held at its second headquarters in Arlington, Virginia. The assistant will answer much more complex questions and engage in more flowing, open-ended conversation, dropping the need for users to say "Alexa …" at each turn.

In this paper a novel joint sensing, communication, and artificial intelligence (AI) framework is proposed so as to optimize extended reality (XR) experiences over terahertz (THz) wireless systems. The proposed framework consists of three main components. First, a tensor decomposition framework is proposed to extract unique sensing parameters for XR users and their environment by exploiting then THz channel sparsity. Essentially, THz band's quasi-opticality is exploited and the sensing parameters are extracted from the uplink communication signal, thereby allowing for the use of the same waveform, spectrum, and hardware for both communication and sensing functionalities. Then, the Cramer-Rao lower bound is derived to assess the accuracy of the estimated sensing parameters. Second, a non-autoregressive multi-resolution generative artificial intelligence (AI) framework integrated with an adversarial transformer is proposed to predict missing and future sensing information. The proposed framework offers robust and comprehensive historical sensing information and anticipatory forecasts of future environmental changes, which are generalizable to fluctuations in both known and unforeseen user behaviors and environmental conditions. Third, a multi-agent deep recurrent hysteretic Q-neural network is developed to control the handover policy of reconfigurable intelligent surface (RIS) subarrays, leveraging the informative nature of sensing information to minimize handover cost, maximize the individual quality of personal experiences (QoPEs), and improve the robustness and resilience of THz links. Simulation results show a high generalizability of the proposed unsupervised generative AI framework to fluctuations in user behavior and velocity, leading to a 61 % improvement in instantaneous reliability compared to schemes with known channel state information. C. Chaccour and W. Saad are with the Wireless@VT, Bradley Department of Electrical and Computer Engineering, Virginia Tech, Arlington, VA, USA, Emails: christinac@vt.edu, M. Debbah is with the Technology Innovation Institute, 9639 Masdar City, Abu Dhabi, United Arab Emirates and also with CentraleSupelec, University Paris-Saclay, 91192 Gif-sur-Yvette, France, Email: merouane.debbah@tii.ae. H.V. Poor is with Department of Electrical and Computer Engineering, Princeton University, NJ 08544, USA, Email: poor@princeton.edu. Catering to the demands of such applications requires wireless systems to not only provide communication services, but to also include sensing, localization, and control capabilities.

Outsourcing has become a popular business tool for companies across the U.S. looking for ways to ... [ ] increase profit margins and cut costs. Johnny Taylor Jr., CEO of the Society of Human Resource Management, offshored the job of a tech employee to India, saving 40% in the labor-cost arbitrage, when she asked to relocate from Arlington, Virginia, where the HR membership group is based, to North Carolina, according to the Wall Street Journal. Companies are accelerating their efforts to send jobs to lower-cost countries in response to the challenge of finding workers and inflation driving up wages. A recent Federal Reserve Bank of Atlanta survey found that 7.3% of leadership in the United States plans to move more jobs offshore as the next step from remote work within America. Richard Baldwin, an economics professor at the Graduate Institute in Geneva who studied the "offshoreability" of teleworking jobs, gave a warning at the European-based Center for Economic Policy Research last year, "If you can do your job from home, be scared."

ARLINGTON, Va.--(BUSINESS WIRE)--As labor shortages and rising costs continue to cut into profit margins, restaurants are looking for ways to improve their business model--and automation is increasingly looking like a viable solution. From conversational AI drive-thrus to full-service fry cook robots, the possibilities are endless, but not all roles can be replaced. Capterra's 2022 Restaurant Automation Survey found that more than half of restaurant leaders say front-of-house restaurant workers can easily be automated with today's technology, but some disciplines remain currently irreplaceable. Most restaurants (76%) are currently using automation in three or more areas of operation and agree that certain roles are more automatable than others. Front-of-house (FOH) restaurant roles may be on the chopping block in the future, as most leaders believe that hosts, baristas, and drive-through operators can easily be replaced, and in some cases improved, by automation technology.

Iran has supplied drone technology to Hezbollah in Lebanon; to Houthi rebels in Yemen attacking Saudi Arabia and the United Arab Emirates; and to Shiite militias in Iraq, which have carried out strikes against Iraqi and American troops. "Russia is turning to an ally that has flown drones in complex environments in large numbers," said Samuel Bendett, a specialist on Russian drones and other weapons at CNA, a research and analysis organization in Arlington, Va. "While the Russians still have drones, they don't have all the types they need." Russia's deal with Iran underscores the ever-growing importance of drones to modern warfare, not just in insurgencies or counterterrorism operations but also in classic conventional-style conflicts. In a contested battlefield like Ukraine where dueling artillery barrages are the deciding factors if an offensive fails or succeeds, drones play a pivotal role.