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An experimental fighter jet, the X-62A VISTA, has engaged in successful dogfights with an F-16 fighter jet flown by artificial intelligence (AI). The U.S. Air Force Test Pilot School operates the X-62A VISTA, a modified version of the F-16, and this achievement is seen as a major step in building trust in autonomous flight. The tests were carried out as part of the Air Combat Evolution (ACE) program, which aims to refine the use of AI in air warfare. The results have been promising, demonstrating the safety and effectiveness of testing AI agents in a combat environment. The program could lead to the creation of collaborative combat aircraft.
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Join Arijit Raychowdhury, Chair of Electrical and Computer Engineering at Georgia Tech, and Cheryl Martin, Global Higher Education and Research at Nvidia, as they discuss their pioneering collaboration in AI education. Diving into the genesis of the partnership, they elaborate on how it aims to democratize access to AI tools and resources for students across disciplines. From hands-on experience to mentorship opportunities, they explore the unique setup of the AI makerspace and its potential to inspire the next generation of innovators. -
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Meta, the parent company of Facebook, is introducing smart assistants powered by artificial intelligence (AI) across its apps, including Instagram, WhatsApp, Messenger, and Facebook. The rollout, powered by Meta's AI model LLaMA 3, aims to bring AI-powered assistance to billions of users in meaningful ways. Users will be able to ask Meta AI for help with tasks and information, and the technology will be integrated into various parts of the apps. Meta's move stands out due to the massive scale of its apps, which are used by nearly four billion people worldwide each month. The AI assistants will be free to use and will enhance user experiences within Meta's apps.
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US-based chip design firm AMD has announced its latest processors for AI PCs, aiming to compete against rivals Nvidia and Intel. The Ryzen Pro 8040 series processors for laptops and Ryzen Pro 8000 series processors for desktops are built using advanced 4-nanometer technology, making them highly powerful chips for business PCs. They are set to power PC models from brands such as HP and Lenovo starting in the second quarter of 2024. The demand for AI PCs is predicted to grow, with shipments expected to make up 22% of all PCs by 2024, according to consulting firm Gartner.
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Researchers from the University of Cambridge have used artificial intelligence (AI) to accelerate the search for treatments for Parkinson's disease. Using machine learning, they were able to quickly screen millions of compounds in a chemical library and identify five highly potent ones that can block the clumping of the protein alpha-synuclein. This process, which normally takes months or years, was sped up by ten-fold and cost reduced by a thousand-fold using AI. The breakthrough could lead to the development of effective treatments for Parkinson's more quickly, benefiting the millions of people worldwide affected by the disease.
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Adobe is working on developing generative AI video tools for its Premiere Pro video editing platform. These tools will allow users to generate and edit videos using text prompts, add or remove objects from videos, and extend the length of video clips. Adobe is also exploring integrations with third-party AI models from companies like Runway, Pika Labs, and OpenAI's Sora, which would provide more options for users. While the release date is not yet announced, Adobe has showcased the capabilities of its own video model. The integration of AI models into Premiere Pro aims to provide creative professionals with a seamless editing experience and more creative possibilities.
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Join Ron Jones and Alexa Tsui, CEO and COO of G2X, as they discuss a recent memorandum from the Biden administration titled "Advancing Governance, Innovation, and Risk Management for Agency Use of AI." Ron and Alexa highlight the challenges of hiring AI talent in the public sector due to competition with the private industry, but also discuss potential solutions such as recruiting from universities. They touch on the role of universities, including HBCUs, in producing AI talent for the government. Additionally, they discuss the potential synergy between government contractors and the government in addressing the AI talent shortage.
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The U.S. government is taking steps to regulate AI and ensure society can effectively adapt to its introduction, although the regulatory environment appears relatively lenient compared to the European Union. Klarna, a financial services provider, predicts that its AI assistant tool will increase profits by $40 million by the end of 2024. Open AI's systems, which power Klarna's AI tool, have garnered attention from Congress. The U.S. Senate Task Force on AI has enacted at least 15 bills into law, but concerns remain about the potential impact of AI on job prospects. Some lawmakers have proposed robot taxes to limit job losses, but economists argue for setting them at a relatively low level to avoid hampering technological growth.
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The Air Force is exploring the use of artificial intelligence (AI) in wargaming to enhance decision-making and strategic analysis. Traditional wargaming methods can be expensive and limited in analysis, and AI has been identified as a potential solution. Lt. Gen. David Harris of the Air Force Futures office highlighted the use of AI assistants to run thousands of iterations in a single turn of wargaming, allowing for a better understanding of optimal solutions in different conflict scenarios. The Air Force is also interested in adjusting the levels of autonomy for future systems, particularly human-machine teaming, and is pursuing next-generation drones with advanced capabilities.
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Researchers from MIT, the Broad Institute of MIT and Harvard, and Massachusetts General Hospital have developed an AI tool called Tyche that can generate multiple plausible segmentations for medical images. Unlike existing models that provide only one answer, Tyche allows users to select the most appropriate segmentation based on their purpose. It does not require retraining and can be used for various tasks like identifying lesions in lung X-rays or anomalies in brain MRIs. The researchers modified a neural network architecture to build Tyche, and testing showed that its predictions were diverse and often better than baseline models. The research was funded by the National Institutes of Health and Quanta Computer.
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MIT researchers have developed a new machine learning technique to enhance the red-teaming process, which involves testing AI models for safety. The approach involves using curiosity-driven exploration to encourage the generation of diverse and novel prompts that expose potential weaknesses in AI systems. This method has proven to be more effective than traditional techniques, producing a wider range of toxic responses and improving the robustness of AI safety measures. The researchers aim to enable the red-team model to generate prompts covering a greater variety of topics and explore using a large language model as a toxicity classifier for compliance testing.
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Rep. Don Beyer of Virginia, a 73-year-old congressman tasked with regulating artificial intelligence (AI), is pursuing a master's degree in machine learning at George Mason University. Beyer believes that lawmakers must have a deep understanding of AI to effectively regulate the industry. This reflects a broader effort by members of Congress to educate themselves about AI as they consider legislation that will shape its development. Lawmakers like Rep. Jay Obernolte of California, who chairs the House's AI Task Force, acknowledge the importance of understanding AI and regularly vote on bills related to complex topics. Rep. Beyer's decision to advance his education highlights the need for lawmakers to have a clear-eyed understanding of AI and its implications in various sectors.
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Dartmouth College researchers are conducting a clinical trial for an AI therapy app called Therabot. The app, powered by generative AI technology, aims to provide mental health care to underserved populations. Unlike other therapy apps, Therabot uses AI to learn patterns and personalize advice for users. It has been trained on data from online peer support forums and traditional therapy sessions. The app's developers believe that it could help combat the mental health crisis and expand access to care. However, Therabot is not intended to replace human therapists but rather offer additional support. The team plans to conduct more trials and seek FDA approval.
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Financial services giants like Goldman Sachs and Morgan Stanley are exploring the use of AI tools that could potentially replace entry-level financial analyst positions. These tools can automate tasks such as compiling reports, crunching numbers, and interpreting data. The adoption of AI in the financial services industry could significantly impact hiring strategies and render the need for hiring thousands of college graduates obsolete. AI automation is already being used in the industry to increase efficiency and productivity. However, the implementation of AI also presents challenges in terms of managing and implementing these tools. The financial industry is expected to be one of the early adopters of AI technology, impacting CIOs and other employees in the sector.
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Amazon CEO Andy Jassy has highlighted the potential of generative artificial intelligence (AI) to drive the company's future growth in his annual letter to shareholders. Jassy believes that generative AI could bring significant societal and business benefits and compares it to the cloud and the Internet in terms of technological transformations. He emphasized that this revolution will be built on top of Amazon's existing cloud infrastructure. Jassy also discussed other areas like grocery, Prime Video, and the success of Amazon Web Services (AWS) and logistics operations. The letter highlights Amazon's commitment to cost-cutting and its investments in AI-related initiatives and space endeavors.
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South African company Aerobotics is using artificial intelligence (AI) to aid fruit and nut farmers in boosting their crop yields. Established nine years ago, Aerobotics is active in 18 countries, with the US being its biggest market. Their AI platform analyses over 1 million fruit images per month and has mapped over 600,000 acres of US farmland. CEO James Paterson, who grew up on a fruit farm, developed an interest in improving farming operations using data. The company's AI software analyses drone-captured images to detect individual fruits, predict crop yield and assist with planning, reducing time spent on tasks such as pest monitoring.
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Nvidia and the Georgia Institute of Technology have partnered to create an AI supercomputer exclusively for student use. The supercomputer, powered by Nvidia's enterprise AI software and equipped with Nvidia GPUs, aims to provide students with access to high-performance computing resources. Initially available to undergraduate students, the supercomputer will eventually be expanded to include all undergraduate and graduate students. The collaboration reflects the growing importance of training the next generation of workers in the field of artificial intelligence. The supercomputer consists of 20 Nvidia HGX H100 systems with a total of 160 Nvidia H100 GPUs, offering computational capabilities for various projects in fields like computer vision, robotics, and more.
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Google Cloud and Bayer have partnered to develop an AI-powered platform that aims to assist radiologists in diagnosing patients more efficiently. The platform utilizes generative AI to identify anomalies within medical images and retrieve relevant information from a patient's medical history. It aims to address the growing labor shortage among radiologists and help them manage higher caseloads. The platform does not replace radiologists but supports them by providing necessary information and saving time spent searching through patient records. Google Cloud and Bayer's platform faces competition from other companies exploring AI applications in medical imaging, and establishing trust and ensuring technical accuracy and security will be crucial for its success.
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Clinics in the US are offering mammogram readings by both radiologists and artificial intelligence (AI) models. AI tools can speed up radiologists' work and detect breast cancer earlier than traditional mammograms alone. While experts are excited about improved accuracy, concerns remain about effectiveness across diverse patients and impact on breast cancer survival rates. AI models highlight suspicious areas on mammogram images and can reduce false positives. However, it is unclear whether AI analysis will reduce deaths from breast cancer or simply increase the number of earlier detections. Generalizability of European findings, potential limitations of AI, and lack of billing codes for insurers also pose challenges.
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The US Air Force plans to deploy a fleet of more than 1,000 AI-operated drones for future air warfare. The drones, referred to as "loyal wingmen," will be led by a piloted jet and used in collaborative combat missions. To showcase the capabilities of these autonomous aircraft, Air Force Secretary Frank Kendall will personally fly in one of the modified F-16s during a flight. The aim of using AI-operated drones is to enhance the Air Force's capabilities while minimizing costs and reducing risks faced by human operators. These drones could be especially valuable in potential conflicts with China, where sending manned crews close to combat may be risky due to upgraded anti-access capabilities and advanced air defense systems.
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