A team of researchers, led by Matthew Gombolay, an assistant professor in the School of Interactive Computing and director of the Cognitive Optimization and Relational (CORE) Robotics Lab at Georgia Tech, are using the sport of table tennis to showcase that humans may not always trust a robot's explanation of its intended action.
Purpose-built cloud infrastructure is the best way to quickly and economically grow AI at scale to create business value and growth.
New technologies like the rapidly advancing deep learning models have led to increasingly sophisticated artificial intelligence (AI) models. With promises ranging from autonomous vehicles—land, air, and seafaring—to highly specialized information retrieval and creation like ChatGPT, the possibilities seem boundless.
ChatGPT's explosive growth has been breathtaking. Barely two months after its introduction last fall, 100 million users had tapped into the AI chatbot's ability to engage in playful banter, argue politics, generate compelling essays and write poetry.
Roboticists have developed many advanced systems over the past decade or so, yet most of these systems still require some degree of human supervision. Ideally, future robots should explore unknown environments autonomously and independently, continuously collecting data and learning from this data.
After years of wallflower AI status, business productivity apps are now the generative AI party where the cool kids hang out.
AI21 Labs has released its latest generative AI model, Jurassic-2, with updated training data and accelerated response times.
Technology reporter Chris Stokel-Walker explains how the latest chatbots could jeopardise the careers of anyone who interprets information and generates written reports or commands.
Monnai announces $6.5 million funding round to pursue AI-driven decisioning for FinTech. How graph-based UI identifies dangerous fraud.
The banking giant has sued Jes Staley over what it said were failures to alert the company to all he knew about Jeffrey Epstein.
Artificial intelligence is a pervasive part of modern-day life and is used by vital institutions from banks to police forces. But a growing mountain of evidence suggests that the AI used by these organizations can entrench systemic racism.
Fast gamers are more intelligent: Intelligence can be predicted through virtual reality games.
Imagine for a moment, that we are on a safari watching a giraffe graze. After looking away for a second, we then see the animal lower its head and sit down. But, we wonder, what happened in the meantime? Computer scientists from the University of Konstanz's Centre for the Advanced Study of Collective Behaviour have found a way to encode an animal's pose and appearance in order to show the intermediate motions that are statistically likely to have taken place.
As smart cities continue to grow, one of the most significant challenges faced by drivers is finding parking space. With the number of vehicles increasing every day, the lack of parking spots is becoming a significant issue. However, a new study published in the International Journal of Grid and High Performance Computing (IJGHPC) has proposed a solution to this problem using the Internet of Things (IoT).
A new study from researchers at MIT and Brown University characterizes several properties that emerge during the training of deep classifiers, a type of artificial neural network commonly used for classification tasks such as image classification, speech recognition, and natural language processing.
Even if you haven't tried artificial intelligence tools that can write essays and poems or conjure new images on command, chances are the companies that make your household products are already starting to do so.
Forethought has launched SupportGPT, a generative AI platform that automates workflows for customer service teams.
Natural language processing (NLP) is already enhancing business intelligence, and much more development is in the works.