Understanding online conversations has attracted research attention with the growth of social networks and online discussion forums. Content analysis of posts and replies in online conversations is difficult because each individual utterance is usually short and may implicitly refer to other posts within the same conversation. Thus, understanding individual posts requires capturing the conversational context and dependencies between different parts of a conversation tree and then encoding the context dependencies between posts and comments/replies into the language model. To this end, we propose a general-purpose mechanism to discover appropriate conversational context for various aspects about an online post in a conversation, such as whether it is informative, insightful, interesting or funny. Specifically, we design two families of Conversation Kernels, which explore different parts of the neighborhood of a post in the tree representing the conversation and through this, build relevant conversational context that is appropriate for each task being considered. We apply our developed method to conversations crawled from slashdot.org,

It's one of America's best hospitals -- a nonprofit "academic medical center" called the Cleveland Clinic. And this week it installed an IBM-managed quantum computer to accelerate healthcare research (according to an announcement from IBM). IBM is calling it "the first quantum computer in the world to be uniquely dedicated to healthcare research." The clinic's CEO said the technology "holds tremendous promise in revolutionizing healthcare and expediting progress toward new cares, cures and solutions for patients." IBM's CEO added that "By combining the power of quantum computing, artificial intelligence and other next-generation technologies with Cleveland Clinic's world-renowned leadership in healthcare and life sciences, we hope to ignite a new era of accelerated discovery."

On the eve of its 25th anniversary, Mozilla, the not-for-profit behind the Firefox browser, is launching an AI-focused startup. From a report: Called Mozilla.ai, the newly forged company's mission isn't to build just any AI -- its mission is to build AI that's open source and "trustworthy," according to Mark Surman, the executive president of Mozilla and the head of Mozilla.ai. "Working on trustworthy AI for almost five years, I've constantly felt a mix of excitement and anxiety," he told TechCrunch in an email interview. "The last month or two of rapid-fire big tech AI announcements has been no different. Really exciting new tech is emerging -- new tools that have immediately sparked artists, founders ... all kinds of people to do new things. The anxiety comes when you realize almost no one is looking at the guardrails."

An anonymous reader shares a report: ChatGPT's artificial intelligence generated dialogue has gotten pretty sophisticated -- to the point where it can write convincing sounding essays. So Edward Tian, a computer science student at Princeton, built an app called GPTZero that can "quickly and efficiently" label whether an essay was written by a person or ChatGPT. In a series of recent tweets, Tian provided examples of GPTZero in progress; the app determined John McPhee's New Yorker essay "Frame of Reference" to be written by a person, and a LinkedIn post to be created by a bot. On Twitter, he said he created the app over the holidays, and was motivated by the increasing possibility of AI plagiarism. Further reading: 1. OpenAI is developing a watermark to identify work from its GPT text AI; 2. OpenAI's attempts to watermark AI text hit limits; 3. A metadata'watermark' could be the solution to ChatGPT plagiarism fears.

The team carried out a second set of experiments, which incorporated machine learning models called neural networks that were specifically trained …

A reader submits a report: Artificial Intelligence (AI) research company OpenAI on Wednesday announced ChatGPT, a prototype dialogue-based AI chatbot capable of understanding natural language and responding in natural language. It has since taken the internet by storm, with people marvelling at how intelligent the AI-powered bot sounds. Some even called it a replacement for Google, since it's capable of giving solutions to complex problems directly," almost like a personal know-all teacher. "We've trained a model called ChatGPT which interacts in a conversational way. The dialogue format makes it possible for ChatGPT to answer follow-up questions, admit its mistakes, challenge incorrect premises, and reject inappropriate requests," OpenAI wrote on its announcement page for ChatGPT. ChatGPT is based on GPT-3.5, a language model that uses deep learning to produce human-like text.

An anonymous reader quotes a report from Bloomberg: The Biden administration is exploring the possibility of new export controls that would limit China's access to some of the most powerful emerging computing technologies, according to people familiar with the situation. The potential plans, which are in an early stage, are focused on the still-experimental field of quantum computing, as well as artificial intelligence software, according to the people, who asked not to be named discussing private deliberations. Industry experts are weighing in on how to set the parameters of the restrictions on this nascent technology, they said. The efforts, if implemented, would follow separate restrictions announced earlier this month aimed at stunting Beijing's ability to deploy cutting-edge semiconductors in weapons and surveillance systems. National Security Advisor Jake Sullivan, in a speech last month on technology, competitiveness and national security, referred to "computing-related technologies, including microelectronics, quantum information systems and artificial intelligence" as among developments "set to play an outsized importance over the coming decade."

An anonymous reader quotes a report from Motherboard: The Synthetic Party, a new Danish political party with an artificially intelligent representative and policies derived from AI, is eyeing a seat in parliament as it hopes to run in the country's November general election. The party was founded in May by the artist collective Computer Lars and the non-profit art and tech organization MindFuture Foundation. The Synthetic Party's public face and figurehead is the AI chatbot Leader Lars, which is programmed on the policies of Danish fringe parties since 1970 and is meant to represent the values of the 20 percent of Danes who do not vote in the election. Leader Lars won't be on the ballot anywhere, but the human members of The Synthetic Party are committed to carrying out their AI-derived platform. Leader Lars is an AI chatbot that people can speak with on Discord.

An anonymous reader quotes a report from the Guardian: An artificial intelligence tool that scans eyes can accurately predict a person's risk of heart disease in less than a minute, researchers say. They used the tool to scan images from 88,052 UK Biobank participants aged 40 to 69. The researchers looked specifically at the width, vessel area and degree of curviness of the arteries and veins in the retina to develop prediction models for stroke, heart attack and death from circulatory disease. They subsequently applied the models to the retinal images of 7,411 participants, aged 48 to 92, of the European prospective investigation into cancer (Epic)-Norfolk study. The performance of Quartz was compared with the widely used Framingham risk scores framework.

Researchers at Stanford University, MIT's Computer Science and Artificial Intelligence Lab, and the Autodesk AI Lab have collaborated to develop a novel learning-based framework that can interpret 2D instructions to build 3D objects. The Register reports: The Manual-to-Executable-Plan Network, or MEPNet, was tested on computer-generated Lego sets, real Lego set instructions and Minecraft-style voxel building plans, and the researchers said it outperformed existing methods across the board. The researchers said there are a couple key problems going from visual instructions that, like Lego sets, consist entirely of images: Identifying correspondence between 2D and 3D objects, and dealing with a lot of basic pieces, like Lego. Basic Lego bricks, the researchers said, are often assembled into complex forms before being added to the main body of the model. This "increases the difficulty for machines to interpret Lego manuals: it requires inferring 3D poses of unseen objects composed of seen primitives," the researchers said.