If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
Tesla AI might play a role in AGI, given that it trains against the outside world, especially with the advent of Optimus -- Elon Musk (@elonmusk) January 19, 2022 When we think about OpenAI's GPT-3's ability to write original code or create cogent text articles, for example, it starts to feel like AI is becoming incredibly human-like. To put this into perspective, let's talk about Tesla's current AI capabilities and what it would actually mean for it or any other company to successfully solve and build an AGI. When you put the media hyperbole surrounding Dojo and Elon's hype together, you get a bunch of people who are convinced that Tesla's AI system are becoming more intelligent at an exponential rate. Many of the people responsible for creating the foundational algorithms and neural networks that Tesla is using are currently working for Facebook, IBM, Google, Nvidia, and Apple. Where IBM and Google have thousands of AI products on the market that help businesses and governments do everything from automating transportation and shipping logistics to providing real-time battlefield analysis and command and control capabilities, Tesla and SpaceX have a handful of narrow systems.
There is a growing need for modern digital Certificate Lifecycle Management (CLM) solutions that can help organizations address the expanding challenges associated with managing digital identities for humans and machines. Enterprises are struggling to rapidly deploy, discover, revoke, and replace digital certificates amid their increasingly heterogenous IT environments, which are scattered across on-premises and cloud environments. Cloud adoption, digital transformation initiatives, remote work environments, automation, IoT, and other factors have driven a sharp rise in the volume of digital certificates that organizations must manage. Enterprises are using these certificates to authenticate machine and human identities in a variety of use cases, including identity-first zero-trust access, passwordless authentication, digital signing, and robotic process automation (RPA) security. The growing volume and types of digital certificates in use have put an enormous strain on traditional approaches to manage certificate lifecycles.
The future is now, and it's all about AI and tech. Covid has forced event planners and marketers to look to online support systems as a means of creating communities that will support launching brands, selling products and connecting with those right people. Never have we relied so much on online technology to connect our brands with customers. There's a tech race going on for who can create the best online platforms that appear to be human but will ultimately be AI. When AI is becoming more and more advanced, it's essential to consider how we can use these platforms to our advantage.
This article is part of our reviews of AI research papers, a series of posts that explore the latest findings in artificial intelligence. Deep learning models owe their initial success to large servers with large amounts of memory and clusters of GPUs. The promises of deep learning gave rise to an entire industry of cloud computing services for deep neural networks. Consequently, very large neural networks running on virtually unlimited cloud resources became very popular, especially among wealthy tech companies that can foot the bill. But at the same time, recent years have also seen a reverse trend, a concerted effort to create machine learning models for edge devices.
Manan Shah is the co-founder and CEO of Avalance Global Solutions, California-based cybersecurity, and breach and attack simulation company. Ever since Alan Turing helped decode the Enigma messages used by the Germans during World War II, the concept of artificial intelligence started getting traction. It was only in 1956 that the term actually was officially coined by none other than John McCarthy. It was the era when the debate over artificial intelligence began and became a heated topic. The concept fascinated a lot of free thinkers and frightened others.
Artificial intelligence is pervasive; every major category of technology now incorporates AI techniques and the trend is growing. Although AI offers many benefits, risks and ethical issues abound. Despite having an enormous potential impact on society, jobs, and the economy, policymaking and educational planning have not kept pace with changes in technology, nor are we close to adopting updated legal frameworks. Also: 13 AI trends that will reshape the economy in 2018 TechRepublic Dr. Shirley Malcom is a respected and prominent educator who handles education policy at the American Association for the Advancement of Science (AAAS), which is the world's largest general scientific association and is best known for publishing Science magazine. Among her many honors, Shirley is a Regent of Morgan State University and on the Board of Trustees at Caltech. Education reform and worker re-training in the era of AI are crucial priorities for her.
In the second in a three-part series on monsters in philosophy, Hi-Phi Nation traces the cultural history of zombies from voodoo folklore, George Romero films, and the creatures used in philosophical thought experiments. Folklore, film, and philosophy seem to converge on the idea that consciousness is what a creature needs to be worthy of moral concern, something a zombie lacks. But we have no idea when something crosses over from being a zombie to being conscious, particularly current AI systems. Guest speakers are Christina van Dyke (Columbia), David Chalmers (NYU), John Edgar Browning (Savannah College of Art and Design), and Eric Schwitzgebel (UC Riverside). Listen to Seasons 1 through 4 at Hi-Phi Nation.
The iconic developer of all-text story games -- commonly referred to as "text adventures" -- like Hitchhiker's Guide to the Galaxy and the Zork series shut down in 1989, but not before releasing a library of titles that are some of the earliest to demonstrate the storytelling potential of video games. It's a rich history that's largely been squandered under the stewardship of Activision, which acquired Infocom in 1986. Now, though, there's hope for Infocom fans in the form of business news: Microsoft is lining up to acquire Activision Blizzard in a blockbuster deal worth almost $80 billion. Most of the attention has been rightly focused on the to-be-acquired publisher's popular franchises like Call of Duty and Overwatch, as well as what the deal means for an employer that's faced a growing number of toxic workplace accusations since last summer. But don't overlook the potential here for Microsoft to also preserve an important piece of gaming history.