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Engineers are harnessing artificial intelligence (AI) and wireless technology to unobtrusively monitor elderly people in their living spaces and provide early detection of emerging health problems.…
Researchers from the University of Geneva (UNIGE), the Geneva University Hospitals (HUG), and the National University of Singapore (NUS) have developed a novel method for evaluating the interpretability of artificial intelligence (AI) technologies, opening the door to greater transparency and…
When a human spots a familiar face or an oncoming vehicle, it takes the brain a mere 100 milliseconds (about one-tenth of a second) to identify it and more importantly, place it in the right context so it can be…
Are machines losing their edge in game-playing against humans?…
LinkedIn Recruiter—a search tool used by professional job recruiters to find candidates for open positions—would function better if recruiters knew exactly how LinkedIn generates its search query responses, possible through a framework called "contextual transparency."…
Hashing is a core operation in most online databases, like a library catalog or an e-commerce website. A hash function generates codes that replace data inputs. Since these codes are shorter than the actual data, and usually a fixed length,…
In November, Google announced that it was embarking on an initiative that would culminate in the development of a machine-learning model capable of recognizing and translating 1,000 of the world's most spoken languages. Over the past several months, the company…
Turns out, even language models "think" they're biased. When prompted in ChatGPT, the response was as follows: "Yes, language models can have biases, because the training data reflects the biases present in society from which that data was collected. For…
Domain adaptation approaches are techniques designed to improve the performance of computational models in specific target domains. These techniques are particularly valuable for tackling problems for which there is only a limited amount of relevant annotated data and for which…
The sheer volume of 'Big Data' produced today by various sectors is beginning to overwhelm even the extremely efficient computational techniques developed to sift through all that information. But a new computational framework based on random sampling looks set to…
Texas A&M University School of Public Health researchers are developing a new governance model for ethical guidance and enforcement in the rapidly advancing field of artificial intelligence (AI). Known as Copyleft AI with Trusted Enforcement, or CAITE, the researchers believe…
Michal Kosinski, computational psychologist at Stanford University, has been testing several iterations of the ChatGPT AI chatbot developed by Open AI on its ability to pass the famous Theory of Mind Test. In his paper posted on the arXiv preprint…
Students may want to think twice before using a chatbot to complete their next assignment. Language models that generate text in response to user prompts plagiarize content in more ways than one, according to a Penn State-led research team that…
In recent years, computer scientists have been trying to create increasingly advanced dialogue and information systems. The release of ChatGPT and other highly performing language models are demonstrating just how far artificial intelligence can go in answering user questions, writing…
A team of computer programmers at IT University of Copenhagen has developed a new way to encode and generate Super Mario Bros. levels—called MarioGPT, the new approach is based on the language model GPT-2. The group outlines their work and…
Powerful machine-learning models are being used to help people tackle tough problems such as identifying disease in medical images or detecting road obstacles for autonomous vehicles. But machine-learning models can make mistakes, so in high-stakes settings it's critical that humans…
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