The global rise in homelessness calls for urgent and alternative policy solutions. Non-profits and governmental organizations alert about the many challenges faced by people experiencing homelessness (PEH), which include not only the lack of shelter but also the lack of opportunities for personal development. In this context, the capability approach (CA), which underpins the United Nations Sustainable Development Goals (SDGs), provides a comprehensive framework to assess inequity in terms of real opportunities. This paper explores how the CA can be combined with agent-based modelling and reinforcement learning. The goals are: (1) implementing the CA as a Markov Decision Process (MDP), (2) building on such MDP to develop a rich decision-making model that accounts for more complex motivators of behaviour, such as values and needs, and (3) developing an agent-based simulation framework that allows to assess alternative policies aiming to expand or restore people's capabilities. The framework is developed in a real case study of health inequity and homelessness, working in collaboration with stakeholders, non-profits and domain experts. The ultimate goal of the project is to develop a novel agent-based simulation framework, rooted in the CA, which can be replicated in a diversity of social contexts to assess policies in a non-invasive way.

Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. Most people have had brief lapses of memory -- forgetting a train of thought, a driving route or maybe a word choice. In most cases, these episodes last only a few seconds and are nothing to worry about -- but if they persist, it may warrant getting a doctor's input. For a clearer understanding of what defines this condition -- often referred to as "brain fog" -- Fox News Digital asked two medical doctors about recognizing the symptoms and when to seek medical attention.

Ensuring the accuracy of responses provided by large language models (LLMs) is crucial, particularly in clinical settings where incorrect information may directly impact patient health. To address this challenge, we construct K-QA, a dataset containing 1,212 patient questions originating from real-world conversations held on K Health (an AI-driven clinical platform). We employ a panel of in-house physicians to answer and manually decompose a subset of K-QA into self-contained statements. Additionally, we formulate two NLI-based evaluation metrics approximating recall and precision: (1) comprehensiveness, measuring the percentage of essential clinical information in the generated answer and (2) hallucination rate, measuring the number of statements from the physician-curated response contradicted by the LLM answer. Finally, we use K-QA along with these metrics to evaluate several state-of-the-art models, as well as the effect of in-context learning and medically-oriented augmented retrieval schemes developed by the authors. Our findings indicate that in-context learning improves the comprehensiveness of the models, and augmented retrieval is effective in reducing hallucinations. We make K-QA available to to the community to spur research into medically accurate NLP applications.

Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. "Game of Thrones" may be over, but winter is still coming. That means the dreaded cold and flu season is right around the corner. "A visit with a clinician has become increasingly common for upper respiratory symptoms since the COVID pandemic," Mark Fendrick, M.D., a general internist at the University of Michigan, who is based in Ann Arbor, Michigan, told Fox News Digital.

Over the past few years, artificial intelligence (AI) has made significant advancements in the healthcare industry. One of the most prominent AI-powered tools is ChatGPT, a natural language processing model developed by OpenAI. ChatGPT is capable of generating human-like responses to a wide range of queries, making it an ideal tool for healthcare applications. From personalized treatment plans to remote patient monitoring, ChatGPT is transforming the way healthcare providers deliver care to their patients. Let's explore a few different uses of ChatGPT in the healthcare sector and discuss the benefits that this revolutionary technology offers to patients, doctors, and researchers.

There are many never-ending debates between Republicans and Democrats. Impeach vs. don't impeach; capital punishment vs. life in prison; wall vs. no wall; legalizing marijuana vs. not; self-driving cars vs. human drivers; Red Sox vs. Yankees; takeout vs. home-cooked; or Gone With the Wind vs. any other movie. All of these issues are stunningly important, right up to the second where cataclysm falls and creates a nightmare scenario that so many fear. That cataclysm is a complete loss of electricity and every mode of convenience and survival we take for granted. IS NORTH KOREA'S EMP THREAT REAL OR'SOMETHING OUT OF A JAMES BOND MOVIE'?

Artificial intelligence is one field of computer science that continues to grow and transcend what technology engineers thought could be achieved by machine learning. Although AI is still a relatively new field that continues to make advancements regularly, the technology has found a home in several industries, including business and healthcare. Mental health professionals have been using AI for years to help patients with mental illness get the advice and support they need. This is especially relevant today, in the face of rising levels of meth addiction. This rise is directly related to a much more frequently discussed issue in regards to the public health landscape: the opioid epidemic. The latter has led to 11.4 million people misusing prescription opioids and over 130 people dying every day from overdoses.