The Artificial Intelligence Podcast

Eight daily newspapers owned by Alden Global Capital have filed a lawsuit against Open AI and Microsoft, alleging copyright infringement. The newspapers claim that the tech companies used millions of copyrighted articles without permission to train AI chatbots. The publications argue that this reduces the need for readers to subscribe, depriving the publishers of revenue. OpenAI stated that they were not aware of the concerns but are engaged in conversations with news organizations. The lawsuit is part of a broader fight over the use of data for generative AI and follows similar lawsuits by The New York Times. The case raises concerns about the impact on civic life in America.

Artificial intelligence (AI) technology provided by Flock Safety, an Atlanta-based company, helped the Blue Springs Police Department in Missouri arrest a murder suspect. The AI-equipped camera system, similar to license plate readers, strategically placed at high-traffic intersections and popular locations, aided in identifying the suspect's vehicle based on characteristics such as make, model, and distinguishing features. Human analysts then examined the snapshots for a more precise match with a license plate. The responsible use of AI technology was crucial in assisting the investigation and led to the arrest of Marquis Earl-Lee Savannah on a warrant for first-degree murder.

The Department of Homeland Security has established the Artificial Intelligence Safety and Security Board to protect critical infrastructure from AI-related threats. The board consists of 22 initial members, including tech industry figures such as CEOs of Open AI, Microsoft, and Alphabet. President Joe Biden ordered the creation of the board as part of an executive order on AI regulation. The board's role is to develop recommendations to prevent and prepare for disruptions caused by AI in areas such as national security and public safety. It also aims to assist critical infrastructure stakeholders in responsible AI utilization. The board includes representatives from various sectors to address the multi-faceted challenges of AI safety and security.

Oracle is boosting its generative AI capabilities to compete in the cloud industry. The launch of its chatbot Chat GPT has driven demand for cloud services and data centers. Oracle is integrating generative AI features into its cloud infrastructure and applications, enhancing productivity and reducing costs. This strategic focus on AI positions Oracle to benefit from the AI revolution. While it has trailed competitors in cloud infrastructure market share, the AI boom provides an opportunity for Oracle to catch up. Its cloud offerings are appealing to governments concerned about data sovereignty, and the company is investing in expanding its cloud computing and AI infrastructure.

The second global AI Safety Summit, co-hosted by Britain and South Korea, is encountering difficulties with lower turnout and complex questions. While the first summit resulted in the "Bletchley Declaration" on AI safety, consensus on regulation has proven challenging. Thorny issues, such as copyright, data scarcity, and environmental impact, are overshadowed by existential threats. OpenAI CEO Sam Altman emphasizes the need for an energy breakthrough and seeks to raise funds for computer chip production. However, experts caution against relying solely on scientific breakthroughs and financing. With a decrease in attendance, attention has shifted from existential risks to the resources necessary for AI development. Despite these challenges, the goal of the summit is to make progress in AI safety and innovation.

A recent study published in The Lancet Digital Health reviewed the use of artificial intelligence (AI) algorithms in clinical practice through randomized controlled trials (RCTs). The study found that the use of AI in healthcare has been increasing, with some studies suggesting that AI models can perform as well as or better than clinicians. However, most of these models have not been evaluated in real-world settings, creating uncertainty about potential risks. The study identified 86 unique RCTs related to various specialties, with gastroenterology, radiology, surgery, and cardiology being the most common. The majority of trials reported significant improvements in their primary endpoints, but further research is needed to understand the true effects and limitations of AI in healthcare.

European data protection advocacy group noyb has filed a complaint against artificial intelligence company Open AI, accusing the company of violating the General Data Protection Regulation (GDPR) by failing to ensure accuracy of personal data processed by their language model, Chat GPT. Open AI has admitted that it cannot correct incorrect information generated by Chat GPT or disclose the sources of the data used to train the model. The complaint alleges that Chat GPT generated false information about individuals, violating the GDPR requirement for data accuracy. noyb is asking the Austrian Data Protection Authority to investigate and impose penalties.

The state government of Connecticut is using AI technology provided by companies like CrowdStrike and Abnormal Security to protect itself from cyber attacks. CrowdStrike's AI system utilizes machine learning to detect and respond to cyber threats in real-time, while Abnormal Security's AI system analyzes incoming emails for anomalies that may indicate sophisticated attacks. Connecticut has contracts worth $1.3 million with CrowdStrike and $372,363 with Abnormal Security. The use of AI and its potential regulation have become subjects of scrutiny as the legislative session nears its end. Governor Ned Lamont has expressed concerns about ensuring appropriate regulation without hindering innovation.

An artificial intelligence (AI) system trained with electrocardiogram (ECG) tests has been proven to reduce the risk of death among high-risk patients by 31 percent, according to a clinical trial conducted at two Taiwanese hospitals. The AI system, which analyzed the heart test results of nearly 16,000 patients, was able to identify patients at high risk of dying based on their ECG results and alert physicians for further evaluation and treatment. The study showcases the potential of AI in healthcare, suggesting that implementing similar AI systems in hospitals worldwide can significantly reduce mortality rates and improve patient outcomes.

Higher education institutions are under pressure to incorporate AI technology in classrooms and consider its impact on the workforce. Educators should prioritize the needs of students and embrace AI to promote equitable student success. AI is a system that uses machines to make predictions or decisions and has become integrated into various aspects of daily life. A survey found that AI is already impacting policies in higher education regarding teaching, learning, technology, cybersecurity, and data privacy. Institutions like Elon University and the Community College of Aurora are leading the way in guiding the implementation and use of AI in education while promoting equity and inclusion. AI has also been used in enrollment management to support student retention and completion with positive results.

Tupac Shakur's estate is considering suing Drake over his latest diss track, in which it appears the late rapper's voice was generated using artificial intelligence (AI). The estate argues that the use of Tupac's voice without consent is a violation of his right to publicity and an abuse of his legacy. They are seeking damages for the unauthorized use of Tupac's likeness and any profits from the record. The incident raises ethical questions about the use of AI in music production. More than 200 artists have signed an open letter urging AI developers and tech companies not to undermine or replace human artistic contributions.

Social media giant Meta, formerly known as Facebook, has unveiled a new approach to combatting fake news on its platforms. The company will now label a wider range of AI-generated content on Facebook, Instagram, and Threads as 'Made with AI' in an effort to protect freedom of speech while addressing misinformation. The decision to label instead of removing content comes after criticism from the Oversight Board concerning Meta's handling of a controversial AI-altered video of President Biden. The labeling system will be implemented from May 2024, allowing users time to adjust to the notifications and reducing content removal based on the existing manipulated video policy by July 2024.

Researchers at Gartnavel General Hospital in Glasgow have developed a machine learning model that accurately predicts inpatient hypoglycemic events using capillary blood glucose (CBG) measurements. The model, which focuses solely on CBG data, showed excellent performance in identifying patients at risk for hypoglycemia. The study analyzed a large dataset of CBG information from the Greater Glasgow and Clyde region, generating nearly 5 million rows of data. The researchers plan to further test the model in clinical practice and develop an intervention tool for healthcare professionals. The study has been praised for its potential impact on managing hypoglycemia in inpatient care.

Microsoft is making progress in closing the gap on Amazon in the cloud-computing market, with its Azure service attracting more businesses. Microsoft's adoption of generative AI features, powered by Open AI's technology, is drawing clients to its Azure cloud-computing service. Strong earnings are anticipated for Microsoft, driven by the billions invested in generative AI. RBC Capital Markets analyst Rishi Jaluria believes Azure's growth is due to Microsoft's overall AI strategy and expects the company to capture market share from Amazon. While Google is also investing in AI, analysts predict that Google Cloud's significant boost from AI will not come until 2025. Amazon is integrating AI technology into AWS through its investment in Anthropic.

Consulting firm BCG predicts that 20% of its revenues in 2024 will come from helping companies integrate artificial intelligence (AI) into their businesses, with this share projected to rise to 40% by 2026. BCG has seen a boost in revenues from AI and generative AI over the past year as companies move from experimenting with the technology to implementing it on a larger scale. The firm is partnering with tech giants and AI companies such as Microsoft and Google to integrate their technology into operations and is providing training to board directors and executive teams. BCG has invested in its AI business since 2015 and has equipped its employees with AI tools. While advising on climate change and sustainability projects remains its fastest-growing practice, the firm has observed a decrease in vocal support for environmental, social, and governance (ESG) issues among business leaders, although this does not reflect a lack of commitment to these matters.

The rapid growth of AI technology is raising concerns about the availability of electricity to power data centers. AI systems have immense power requirements, and the demand is expected to increase significantly as more AI-focused data centers are established. The United States alone may require an additional 18 to 30 gigawatts of capacity in the next few years. While tech companies have invested in renewable energy, data centers require a consistent power source that renewables may not always provide. The consequences extend beyond power concerns, with communities near data centers experiencing disruptions to their quality of life. Proactive measures, such as capping power usage and incentivizing sustainable practices, are crucial to balance the potential of AI with environmental responsibility.

Meta, the parent company of Facebook, has reported a 27% increase in total revenue in the first quarter, reaching 36.5 billion dollars. CEO Mark Zuckerberg emphasized Meta's commitment to long-term investments in artificial intelligence (AI) and augmented reality during the company's earnings call. The cost of revenue increased by 9% due to higher infrastructure costs related to AI investments, but Meta's augmented reality initiative, Reality Lab, reported a revenue increase of 30%. Meta is also investing in advanced recommendation systems and integrating generative AI into its apps. The company is exploring various avenues, including business messaging and potential monetization of AI interactions, to boost AI-related revenue.

U.K. tech startup Synthesia has developed AI-generated avatars that can convey human emotions, bridging the gap between the virtual and real worlds in video production. Backed by Nvidia, Synthesia's "Expressive Avatars" eliminate the need for cameras, microphones, actors, and lengthy edits. The avatars can respond to text inputs representing different emotions, enabling businesses to create engaging content for presentations and training videos. With concerns about potential misuse, Synthesia requires content publishers to sign up as enterprise customers and implements moderation and vetting processes. The company is also actively preventing its platform from being used by hostile actors during elections and is part of the Coalition for Content Provenance and Authenticity.

Tech firm Meta Platforms is ramping up its competition with OpenAI and Google in the AI field with the launch of its latest large language model, Llama 3. Additionally, Meta unveiled an image generator that updates pictures in real time as users type prompts. These new models will be integrated into the virtual assistant Meta AI, which the company believes is the most sophisticated among its free-to-use counterparts. The assistant will have increased visibility within Meta's platforms, including Facebook, Instagram, WhatsApp, Messenger, and a standalone website. This move is seen as a direct response to the success of OpenAI's ChatGPT. Meta has also announced partnerships with Google and expansion into international markets. However, there are concerns about safety and potential misuse of the models.

Coca-Cola and Microsoft have extended their partnership for five more years, with Coca-Cola committing $1.1 billion to Microsoft Cloud. The soft drink giant aims to explore and integrate Microsoft's enterprise technology, including experimenting with OpenAI's AI technology. Coca-Cola has already migrated all its applications to Microsoft Azure and plans to test how Microsoft 365's Copilot can enhance workplace productivity. However, it is unclear if Coca-Cola intends to utilize AI to reduce its workforce. While some skeptics question the effectiveness of AI, Coca-Cola believes that Microsoft's capabilities will accelerate its adoption of AI, generating additional value.

Google has developed an AI model called SEEDS that generates accurate weather forecasts at a larger scale and lower cost compared to traditional physics-based methods. SEEDS uses generative AI techniques to produce multiple weather scenarios faster and more efficiently. It focuses on the relationship between potential energy and sea level pressure, and can generate up to 31 prediction ensembles from just one or two "seeding forecasts". In tests, SEEDS successfully predicted the 2022 European heatwave, while traditional methods did not. The computing costs associated with SEEDS are described as negligible. This AI model shows promise in providing better preparedness for extreme weather events.

The corporate world is increasingly recognizing the importance of artificial intelligence (AI) in business strategy, leading to the emergence of a new role in corporate leadership: the Chief AI Officer (CAIO). According to a recent study, 15% of enterprise companies already have a CAIO and 24% are actively seeking qualified candidates. The responsibilities of a CAIO include providing strategic leadership, ethical guidance, and innovative architecture capabilities in the technology sector. While not necessary for all organizations, having a CAIO can be valuable for companies heavily reliant on AI development and looking to optimize their AI-driven operations. Notable companies such as Deloitte, Dell Technologies, Intel Corporation, and IBM have already appointed CAIOs.

A new report from Stanford University's Internet Observatory reveals that the National Center for Missing and Exploited Children is ill-prepared to combat child sexual abuse material (CSAM) generated by artificial intelligence (AI). Criminals are using AI technology to create explicit images, making it difficult for authorities to identify and rescue real victims. The CyberTipline, which collects reports on CSAM, is overwhelmed by incomplete and inaccurate tips and the sheer volume of reports. The report calls for updated technology and laws to address this crime, and lawmakers are already working to criminalize the use of AI-generated explicit content. The report emphasizes the urgent need for increased funding and improved access to technology for the National Center for Missing and Exploited Children.

SoftBank plans to invest $960 million over the next two years to enhance its computing facilities and develop a Japanese-language-specific generative AI model. The investment will be used to purchase advanced graphics processing units from Nvidia, making SoftBank's computing capabilities the most powerful in Japan. The move aims to position SoftBank as a key player in the generative AI space, particularly with the growing interest from international competitors. The investment could also address Japan's lack of high-performance supercomputers for developing large language models. The AI market in Japan is projected to reach $13 billion by 2030, and SoftBank's stock price has increased by around 20% this year.

Adobe has introduced new AI tools in its Photoshop software to facilitate design control for users. Powered by Adobe's Firefly Image 3 model, the tools include a Reference Image feature that enables users to upload an image to guide AI in generating the desired output. Other generative AI tools available in the Photoshop beta app include Generate Background, Enhance Detail, Generate Similar, and Generate Image. Adobe assures users that the referencing tool is safe for commercial use and has an advantage over rival AI models. Additionally, Adobe has added non-destructive editing capabilities with the Adjustment Brush and quick image changes with Adjustment Presets, as well as real-time access to over 25,000 fonts through an improved Font Browser.

The Ray-Ban Meta Smart Glasses now have multimodal AI, which enables the glasses' AI assistant to process photos, audio, and text. This feature was added after an early access program. The glasses' primary command is "Hey Meta, look and..." followed by the desired task. They can identify plants, read signs in different languages, write Instagram captions, and provide information about landmarks. However, the AI is not always accurate and has limitations. The glasses function with minimal wait time as they are paired with a phone, and they also serve as headphones. The glasses aim to familiarize users with the concept of a face computer.

The use of artificial intelligence (AI) in healthcare has brought numerous benefits, including reduced burnout for doctors and improved efficiency in clinical trials. NVIDIA has been optimizing the healthcare space for 15 years, building domain-specific applications for healthcare. However, medical professionals need to learn how to effectively verbalize their findings in the exam room to fully benefit from AI technology. Challenges still exist, such as the impact on patient treatments and the need for continuing medical education for algorithms. Partnerships between organizations are driving innovation, and regulation of AI in healthcare is an ongoing process. Despite advancements, there is still much to learn about health conditions and the role of the environment.

Unionized nurses in the Bay Area are expressing concerns about the increased use of artificial intelligence (AI) in healthcare and its potential impact on patient safety. Nurses are advocating for greater transparency and involvement in the deployment of AI technologies to minimize risks. They fear that without proper oversight and accountability, AI could be used to replace nurses and prioritize profits over patient care. While some healthcare employers like Kaiser Permanente claim to rigorously test their AI programs for safety and accuracy, nurses have raised concerns about issues like inaccurate alarms and missed patient health deterioration. Experts acknowledge the potential benefits of AI in healthcare but stress the need for greater safeguards and collaboration among health systems.

Meta, formerly known as Facebook, has faced backlash from users after integrating its AI assistant, Meta AI, into its flagship apps. Users have expressed frustration and annoyance with the unexpected interactions caused by Meta AI appearing when clicking on the search bar in Facebook and Instagram. Despite Meta's belief in the helpfulness of Meta AI, some users are disappointed that there is no official way to disable the assistant. In an attempt to expand its reach, Meta has launched a website for Meta AI and introduced AI-powered functionalities, but there is concern among users that AI might eventually replace traditional search functions entirely. Meta must address user concerns and provide more control and customization options to strike a balance between innovation and user preferences.

Microsoft is introducing smaller AI models called Phi-3, which can fit on smartphones and regular computer chips, making them more affordable. This shift towards smaller AI systems aims to make AI technology more accessible to a wider range of customers. While smaller systems may be less accurate, Microsoft believes customers will be willing to compromise on performance for affordability. This approach also allows online advertisers to benefit from better targeting for ads. Microsoft is open-sourcing its Phi-3 models, encouraging collaboration and adoption of the technology. The smaller models achieved their size by refining training data and learning from high-quality text.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.