You should start taking "Fart Walks" The name may inspire snickers, but the benefits are no joke. Take a brisk walk after meals to help your guts. Breakthroughs, discoveries, and DIY tips sent every weekday. Founding father Benjamin Franklin secured the alliance with France that led to victory in the Revolutionary War, negotiated the Treaty of Paris ending said war, signed the Declaration of Independence the U.S Constitution, discovered that lightning was electrical, invented bifocal glasses, wrote the famous, and ran newspapers. He also had some thoughts on farting.

Given a graph with textual attributes, we enable users to'chat with their graph': that

How Google's DeepMind tool is'more quickly' forecasting hurricane behavior'Less expensive and time consuming' model helps with fast and accurate predictions, possibly saving lives and property When then Tropical Storm Melissa was churning south of Haiti, Philippe Papin, a National Hurricane Center (NHC) meteorologist, had confidence it was about to grow into a monster hurricane. As the lead forecaster on duty, he predicted that in just 24 hours the storm would become a category 4 hurricane and begin a turn towards the coast of Jamaica. No NHC forecaster had ever issued such a bold forecast for rapid strengthening. But Papin had an ace up his sleeve: artificial intelligence in the form of Google's new DeepMind hurricane model - released for the first time in June. And, as predicted, Melissa did become a storm of astonishing strength that tore through Jamaica.

In February 1953, two men walked into a pub in Cambridge and announced they had found the secret of life. It was not an idle boast. One was James Watson, an American biologist from the Cavendish laboratory; the other was his British research partner, Francis Crick. The full Promethean power of their achievement would slowly emerge over decades of research by fellow geneticists. It also opened a Pandora's Box of controversial scientific and ethical issues - including human cloning, designer babies and Frankenstein foods.

Given a graph with textual attributes, we enable users to'chat with their graph': that

AI, especially Large Language Models (LLMs) like ChatGPT, have rapidly developed and gained widespread adoption in the past five years, shifting user preference from traditional search engines. However, the generative nature of LLMs raises concerns about presenting misinformation as fact. To address this, we developed a web-based application that helps K-12 students enhance critical thinking by identifying misleading information in LLM responses about major historical figures. In this paper, we describe the implementation and design details of the DoYouTrustAI tool, which can be used to provide an interactive lesson which teaches students about the dangers of misinformation and how believable generative AI can make it seem. The DoYouTrustAI tool utilizes prompt engineering to present the user with AI generated summaries about the life of a historical figure. These summaries can be either accurate accounts of that persons life, or an intentionally misleading alteration of their history. The user is tasked with determining the validity of the statement without external resources. Our research questions for this work were:(RQ1) How can we design a tool that teaches students about the dangers of misleading information and of how misinformation can present itself in LLM responses? (RQ2) Can we present prompt engineering as a topic that is easily understandable for students? Our findings highlight the need to correct misleading information before users retain it. Our tool lets users select familiar individuals for testing to reduce random guessing and presents misinformation alongside known facts to maintain believability. It also provides pre-configured prompt instructions to show how different prompts affect AI responses. Together, these features create a controlled environment where users learn the importance of verifying AI responses and understanding prompt engineering.

Fox News correspondent William La Jeunesse joins'Fox News Sunday' to discuss the evolution of AI and the push lawmakers are making to regulate it. FIRST ON FOX: A select group of tech industry titans and venture capitalists will gather in Washington, D.C., this week to welcome the incoming Trump administration and celebrate new opportunities for global innovation in artificial intelligence and entrepreneurship. Presidents and CEOs from companies on the cutting edge of AI tech and their big financial backers, along with personnel from the incoming administration, will attend a dinner on Thursday organized by Outside the Box Ventures, a firm founded last year by journalist-turned-investment banker Katherine Tarbox, along with Laurent Bili, the French ambassador to the U.S. The list of those invited to Thursday's dinner includes "DOGE" chief Elon Musk, Silicon Valley investor and GOP mega-donor Peter Thiel, NVCA chief executive Bobby Franklin, incoming White House AI and crypto czar David Sacks, OpenAI's Sam Altman, investor Joe Lonsdale and Narya co-founder Colin Greenspon. "This gathering represents more than discussion. We hope it symbolizes a new chapter in public-private collaboration to harness technology's transformative power for the nation's future," a source close to the planning told Fox News Digital.

A great thing about catching a cold in December, as a critic, is that it's a perfect time to play NyQuil-induced catch-up with all the screeners I'd yet to watch. Cynthia Erivo is as good as everyone says in Wicked. Hundreds of Beavers is funny and incredibly well calculated, astute in its ability to shape-shift just enough to never get tedious. The Wild Robot is emotionally satisfying--but it made me lament a world in which even a robot has to have her programming overridden by the American social imperative to be a "mother." The Remarkable Life of Ibelin is a worthy reminder of what the old internet, the internet of my own upbringing, used to feel like: communal, social, mysterious.

One thing seems for sure: people are not ready for "digital workers" just yet. That's the lesson learned by Sarah Franklin, the CEO of Lattice, a human resources and performance management platform that offers performance coaching, talent reviews, onboarding automation, compensation management and a host of other HR tools to more than 5,000 organizations around the world. What is a digital employee? According to Franklin, it's avatars like Devin the engineer, Harvey the lawyer, Einstein the service agent and Piper the sales agent who have "entered the workforce and become our colleagues". But these are not real workers.

Given a graph with textual attributes, we enable users to `chat with their graph': that is, to ask questions about the graph using a conversational interface. In response to a user's questions, our method provides textual replies and highlights the relevant parts of the graph. While existing works integrate large language models (LLMs) and graph neural networks (GNNs) in various ways, they mostly focus on either conventional graph tasks (such as node, edge, and graph classification), or on answering simple graph queries on small or synthetic graphs. In contrast, we develop a flexible question-answering framework targeting real-world textual graphs, applicable to multiple applications including scene graph understanding, common sense reasoning, and knowledge graph reasoning. Toward this goal, we first develop our Graph Question Answering (GraphQA) benchmark with data collected from different tasks. Then, we propose our G-Retriever approach, which integrates the strengths of GNNs, LLMs, and Retrieval-Augmented Generation (RAG), and can be fine-tuned to enhance graph understanding via soft prompting. To resist hallucination and to allow for textual graphs that greatly exceed the LLM's context window size, G-Retriever performs RAG over a graph by formulating this task as a Prize-Collecting Steiner Tree optimization problem. Empirical evaluations show that our method outperforms baselines on textual graph tasks from multiple domains, scales well with larger graph sizes, and resists hallucination. (Our codes and datasets are available at: https://github.com/XiaoxinHe/G-Retriever.)