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How Palo Alto Networks modernized its security management with AI

#artificialintelligence

The SIEM, or security information and event management console, has been a staple for security teams for more than a decade. It's the single pane of glass that shows events, alerts, logs, and other information that can be used to find a breach. Despite its near ubiquity, I've long been a SIEM critic and believe the tool is long past its prime. This is certainly not the consensus; I've been criticized in the past for taking this stance. While robust passwords help you secure your valuable online accounts, hardware-based two-factor authentication takes that security to the next level.


Patients recognize role of artificial intelligence in diagnosis, treatment

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With artificial intelligence making its way into daily life, healthcare, including ophthalmology, is no exception. Ophthalmology, with its heavy reliance on imaging, is an innovator in the field of AI in medicine. Although the opportunities for patients and health care professionals are great, hurdles to fully integrating AI remain, including economic, ethical, and data-privacy issues. "AI is impacting health care at every level, from the provider to the payer to pharma," according to Dan Riskin, MD, CEO and founder of Verantos, a health care data company in Palo Alto, California, that uses AI to sort through real world evidence. The question remains, just how to patients feel about the use of AI in the diagnosis and treatment of their illnesses? In a patient survey conducted in December 2019, 66% of respondents said AI plays a large role in their diagnosis and treatment and thought it was important.


The 30 top artificial intelligence companies most well founded

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Artificial intelligence (AI) is currently one of the most disruptive technologies, and it is a great means for startups to achieve their hyper-growth goals. Artificial intelligence has numerous applications in fields such as big data, computer vision, and natural language processing, and is revolutionizing businesses, industries, and people's lives. Among the most well-funded and promising independent startups, the majority of the top Artificial Intelligence companies are from the US or China, with many more countries participating. The benefits of AI in many industries are evident in these two key countries, but each country seems to have slightly different concerns. The largest AI startups in the U.S. are particularly present in the areas of big data analytics and process automation for business, autonomous driving and biotechnology.


The Time Is Now to Develop Community Norms for the Release of Foundation Models

#artificialintelligence

As foundation models (e.g., GPT-3, PaLM, DALL-E 2) become more powerful and ubiquitous, the issue of responsible release becomes critically important. In this blog post, we use the term release to mean research access: foundation model developers making assets such as data, code, and models accessible to external researchers. Deploying to users for testing and collecting feedback (Ouyang et al. 2022; Scheurer et al. 2022; AI Test Kitchen) and deploying to end users in products (Schwartz et al. 2022) are other forms of release that are out of scope for this blog post. Foundation model developers presently take divergent positions on the topic of release and research access. For example, EleutherAI, Meta, and the BigScience project led by Hugging Face embrace broadly open release (see EleutherAI's statement and Meta's recent release). In contrast, OpenAI advocates for a staged release and currently provides the general public with only API access; Microsoft also provides API access, but to a restricted set of academic researchers.


White Paper

Stanford HAI

Developing responsible, human-centered artificial intelligence (AI) is a complex and resource-intensive task. As governments around the world race to meet the opportunities and challenges of developing AI, there remains an absence of deep, technical international cooperation that allows like-minded countries to leverage one another's resources and competitive advantages to facilitate cutting-edge AI research in a manner that upholds and promotes democratic values. Establishing a Multilateral AI Research Institute (MAIRI) would provide such a venue for force-multiplying AI research and development collaboration. It would also reinforce the United States' leadership as an international hub for basic and applied AI research, the development of AI governance models, and the fostering of AI norms that align with human-centric and democratic values. In its final report published in March 2021, the National Security Commission on Artificial Intelligence (NSCAI) recommended that the United States work closely with key allies and partners to establish a MAIRI and called for congressional authorization and funding to allow the National Science Foundation (NSF) to lead the effort.


The 5 coolest things at Google I/O

PCWorld

Google has become synonymous with powerful search, incredible hardware, and quirky, fun technology. Unfortunately, that includes stretching the limits of privacy and a reputation for giving up on its product lines too soon. But these negatives notwithstanding, Google is at it again at its Google I/O event near its company headquarters in Mountain View, Calif., enticing developers and consumers alike with a number of new hardware products, software and services. Yes, Google just revealed new Pixel phones, including the Pixel 6A and the Pixel 7. But those weren't the coolest technologies Google showed off on Wednesday.


Google's Immersive View for Maps looks incredible

PCWorld

For years, users of Google Maps have had numerous tools to navigate the planet: Street View, 3D representations, and more. Now Google is adding Immersive View, combining real-world imagery and artificial intelligence to make 3D maps even more lifelike. Google made the announcement at Google I/O, its annual developer conference, held for the first time in three years at the Shoreline Ampitheatre in Mountain View, Calif. "Around the world, we've mapped around 1.6 billion buildings, and over 60 million kilometers of roads today," Pichai said. "Some remote and rural areas have previously been difficult to map due to scarcity of high-quality imagery, and distinct building types and terrain.


How XDR provides protection against advanced exploits

ZDNet

Chris J. Preimesberger has been researching, reporting and analyzing IT news and trends since 1995, when as editor of an international newsletter, Sun's Hottest, he published an article defining a new protocol called Java. Damage caused by advanced exploits, such as Log4Shell and Spring4Shell, has been widely documented. These came out of nowhere and seemingly crippled many organizations. This happened despite record cybersecurity industry budgets that will clear $146B in 2022. This post from Palo Alto Networks highlights that, based on telemetry, the company observed more than 125 million hits that had the associated packet capture that triggered the signature.


AI Index 2022

#artificialintelligence

The AI Index is an independent initiative at the Stanford Institute for Human-Centered Artificial Intelligence (HAI), led by the AI Index Steering Committee, an interdisciplinary group of experts from across academia and industry. The annual report tracks, collates, distills, and visualizes data relating to artificial intelligence, enabling decision-makers to take meaningful action to advance AI responsibly and ethically with humans in mind. The 2022 AI Index report measures and evaluates the rapid rate of AI advancement from research and development to technical performance and ethics, the economy and education, AI policy and governance, and more. The latest edition includes data from a broad set of academic, private, and non-profit organizations as well as more self-collected data and original analysis than any previous editions. The Global AI Vibrancy Tool is an interactive visualization that allows cross-country comparison for up to 29 countries across 23 indicators.


Reflections on Foundation Models

#artificialintelligence

Recently, we released our report on foundation models, launched the Stanford Center for Research on Foundation Models (CRFM) as part of the Stanford Institute for Human-Centered AI (HAI), and hosted a workshop to foster community-wide dialogue. Our work received an array of responses from a broad range of perspectives; some folks graciously shared their commentaries with us. We see open discourse as necessary for forging the right norms, best practices, and broader ecosystem around foundation models. In this blog post, we talk through why we believe these models are so important and clarify several points in relation to the community response. In addition, we support and encourage further community discussion of these complex issues; feel free to reach out at contact-crfm@stanford.edu.