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) …
Storytelling and narrative crafting are central to communication techniques -- so much so that they drive the way news media, advertising, and public relations operate today. But the way narratives are used in these communications, as well as how they impact the opinions of individuals or an entire society, is extremely complex and difficult to express with any specificity. A new project at the University of Michigan supported by the Air Force Office of Scientific Research (AFOSR) aims to use computational tools to conceptualize these narratives and the impact they have on readers. "It remains unclear how to effectively represent and extract narratives at scale," says Computer Science and Engineering Prof. Lu Wang, the project's lead investigator, "and little is known about how they interact with people's inclination to have an impact and confirm their own values." This uncertainty stems from the problem's scope: understanding the narratives used in news media, for example, and how they affect millions of unique individuals involves countless variables.
A significant challenge of computational statistical mechanics is the accurate estimation of equilibrium parameters of a thermodynamic system. For decades, the methods of choice for sampling such systems at large have been molecular dynamics (MD) and hybrid Monte Carlo. Strategies for sampling probability distributions have increased, and most try leveraging normalizing flows. Normalizing Flows are a technique for creating complicated distributions that involve changing a probability density through a sequence of invertible mappings. These are desirable because of 2 characteristics: first, they can create independent samples rapidly and in parallel, and second, they can offer the precise probability density of their creation method.
The technology behind this is called "predictive analytics" or, in sales terms, "predictive sales analytics". In this article, you will learn how you can tell whether your company needs an ERP system with AI to predict customer behaviour. We will also discuss the advantages of using this technology, how it works, and what is needed for it to work. Predictive sales analytics is a specialized field that aims to make sales forecasts as precisely as possible. Various statistical and mathematical methods are available for this purpose.
Interspecies was once a technical term used in science to describe how one species got along with another. Now it is a word of more consequence: it evokes the new connections between humans and non-humans that are being made possible by technology. Whether it is satellite footage tracking geese at continental scale, or a smartphone video of squirrels in a park, people are seeing the 8.7m other species on the planet in new lights. In "Ways of Being", James Bridle, a British artist and technology writer, explores what this means for understanding the many non-human intelligences on Earth. Your browser does not support the audio element.
With the rise in consumption of short format videos and highly personalized content, have you ever thought of having a customized news video feed that would work based on your preferences? This kind of video feed would help us in avoiding redundant news and irrelevant content that we often consume from multiple sources. In this blog, let's make an attempt to automate the process of video creation. In the process, we will be using off the shelf pre-trained models (Fine-tuning these models would increase the performance though) for the sake of simplicity. First, let's select a text source on which we want to make a video on.
We already know that algorithms can and do significantly affect humans. They're not only used to control workers and citizens in physical workplaces, but also control workers on digital platforms and influence the behavior of individuals who use them. Even studies of algorithms have previewed the worrying ease with which these systems can be used to dabble in phrenology and physiognomy. A federal review of facial recognition algorithms in 2019 found that they were rife with racial biases. One 2020 Nature paper used machine learning to track historical changes in how "trustworthiness" has been depicted in portraits, but created diagrams indistinguishable from well-known phrenology booklets and offered universal conclusions from a dataset limited to European portraits of wealthy subjects.
Every year, ICRA gathers an astonishing number of robot makers. With a quick look at the exhibitors, one can already perceive the immense creativity and inventiveness that creators put in their robots. To my eyes, creating a robot is an art: how does a robot should look like? What would it be good for? Should we go for legs or wheels?
An adorable robotic crab has been developed by scientists – but you'll need a magnifying glass if you want to see it. The tiny bot is inspired by peekytoe crabs and measures just 0.02 inches (0.5mm) wide, making it the smallest ever remote-controlled walking robot. Despite being smaller than a flea, the robot can bend, twist, crawl, walk, turn, and even jump. Researchers from Northwestern University, who developed the robot, believe the bot could be used to perform a range of tasks in confined spaces. 'You might imagine micro-robots as agents to repair or assemble small structures or machines in industry or as surgical assistants to clear clogged arteries, to stop internal bleeding or to eliminate cancerous tumours -- all in minimally invasive procedures,' said Professor John Rogers, who led the project.
Of the many ways artificial intelligence and machine learning are poised to improve modern life, the promise of impacting mass transit is significant. The world is much different compared with the early days of the pandemic, and people around the world are again leveraging mobility and transit systems for work, leisure and more. Across the U.S., traditional mass transit systems including buses, subways and personal vehicles have returned to struggling through gridlock, rider levels and congestion. However, advanced AI and machine learning solutions built on cloud-based platforms are being deployed to reduce these frustrations. Transportation is one of the most important areas in which modern AI provides a significant advantage over conventional algorithms used in traditional transit system technology.
Since its inception, the robotics industry has seen a tremendous hike in its revenue growth. The global robotics market is expected to see a CAGR of 24.52% within 2023. Realizing the incredible capabilities of robots, organizations worldwide are investing a lot of their capital to enjoy the benefits of this AI application. Grabbing the opportunity to enhance organizational productivity, automate business services, and stay unique in the crowd of competitors, organizations are finding potential areas where they could replace human tasks with robots. Robots have become one of the key contributors to driving the market revenue significantly.