With Microsoft Azure Cognitive Services for Speech, customers can build voice-enabled apps confidently and quickly in more than 140 languages. We make it easy for customers to transcribe speech to text (STT) with high accuracy, produce natural-sounding text-to-speech (TTS) voices, and translate spoken audio. In the past few years, we are inspired by the ways customers seek our customization features to fine-tune speech recognition to their use cases. As our speech technology continues to change and evolve, we want to introduce four custom speech-to-text capabilities and their respective customer use cases. With these features, you can evaluate and improve the speech-to-text accuracy for your applications and products.

Avodah, a transformative SaaS company powering artificial intelligence (AI) capabilities that operates healthcare division AvodahMed, added four new members to the AvodahMed Medical Advisory Council. "We are delighted to welcome Dr. Koppel, Dr. Lytle, Will, and Tony to our multidisciplinary team of the most established and distinguished professionals" Mark Koppel, M.D., Bruce Lytle, M.D., Will Rideout, and Anthony Black will join existing Council members whose collective role is to provide strategic guidance, clinical leadership, and scientific and ethical direction to advance AvodahMed. The Council members will focus on the company's Nsight conversational AI solution's development roadmap designed to detect and boost a medical practice's care management, cost savings, and revenue-boosting opportunities. The solution is also aimed at reducing physician burnout. Mark Koppel, M.D., is a seasoned executive with nearly 20 years of experience in the business of medicine and healthcare.

Artificial intelligence is coming for creativity. Skills such as illustration and writing that were once deemed the most resistant to incursions by artificial intelligence are now being credibly emulated by programs like DALL·E 2 and GPT-3. Where does that leave workers in creative fields, and how should they prepare to compete? In today's newsletter, I rounded up some of The Atlantic's recent coverage of artificial-intelligence technologies that paints a picture (not the AI kind) of what the future could look like. I'll see you next Monday.

A model describes a real-world system or process using mathematical concepts. They are used to make decisions or predictions in many fields and sectors, such as energy, medicine, marketing, etc. In this regard, machine learning is a part of artificial intelligence that deals with building models without being explicitly programmed. In the machine learning field, a model is sometimes called a hypothesis. Supervised learning is the most common paradigm within machine learning.

Catering to the widespread COVID-19 pandemic, the authors aim to develop a system based on machine learning combined with the knowledge of medical science. Considering the prevailing situation, it becomes necessary to diagnose the COVID-19 at initial stages. The idea behind the described designed model is to identify the spread of infection in patients as fast as possible. The paper sketches two different approaches: K-fold cross-validation and deep network designer which are based on deep learning technology for the prediction of COVID-19 in the initial stages by using the chest X-rays. The performance evaluation of the cross-fold validation process is compared with the designed application in the deep network designer to find an effective and efficient methodology for classification which attained better accuracy.

California start-up OpenAI has released a chatbot capable of answering a variety of questions, but its impressive performance has reopened the debate on the risks linked to artificial intelligence (AI) technologies. The conversations with ChatGPT, posted on Twitter by fascinated users, show a kind of omniscient machine, capable of explaining scientific concepts and writing scenes for a play, university dissertations or even functional lines of computer code. "Its answer to the question'what to do if someone has a heart attack' was incredibly clear and relevant," Claude de Loupy, head of Syllabs, a French company specialized in automatic text generation, told AFP. "When you start asking very specific questions, ChatGPT's response can be off the mark," but its overall performance remains "really impressive," with a "high linguistic level," he said. OpenAI, cofounded in 2015 in San Francisco by billionaire tech mogul Elon Musk, who left the business in 2018, received $1 billion from Microsoft in 2019. The start-up is best known for its automated creation software: GPT-3 for text generation and DALL- E for image generation.

The #bot responded by noting the contract had a reentrancy #vulnerability where an exploiter could repeatedly withdraw the funds from the contract and provided an example of how to fix the issue. He opined that "language interfaces are going to be a big deal" and tools such as ChatGPT will "soon" have the ability to answer questions and give advice with later iterations completing tasks or even discovering new knowledge. Despite the chatbot's ability to test #smartcontract functionality, it wasn't solely designed for that purpose and many on Twitter have suggested some of the smart contracts it generates have issues. The tool also might provide different responses depending on the way it's prompted, so it isn't perfect. In your opinion, will this ChatBot be used only for good or also for bad? #blockchain #crypto #web3

An influx of vibrant AI self portraits has taken over social media in the past week. Each of these are a rendered image of someone's face, created by Lensa. The viral image editing app, created by Prisma AI, morphs selfies into what the company refers to as "magic avatars". But, as with nearly everything on the internet, things aren't as simple as they appear. Here's everything you need to know about the new feature -- and its accompanying controversies.

Hosted by Ben Byford, The Machine Ethics Podcast brings together interviews with academics, authors, business leaders, designers and engineers on the subject of autonomous algorithms, artificial intelligence, machine learning, and technology's impact on society. This episode we talk with Mark Coeckelbergh about AI as a story about machines and where are we heading in creating human level intelligence, moral standing and robot-animal interfaces, technology determinism, environmental impacts of robots and AI, energy budgets, politics and AI, self-regulation and global governance for global issues. Mark Coeckelbergh is Professor of Philosophy of Media and Technology at the University of Vienna and author of more than 15 books including AI Ethics (MIT Press), The Political Philosophy of AI (Polity Press), and Introduction to Philosophy of Technology (Oxford University Press). Previously he was Vice Dean of the Faculty of Philosophy and Education, and President of the Society for Philosophy and Technology (SPT). He is also involved in policy advise, for example he was member of the High Level Expert Group on AI of the European Commission.

The steamiest, moist-est, stankiest thing to do on the interweb right now is to talk with Open AI's chatbot, Chat GPT. I figured I should say hi. Quick disclaimer: I have no insightful comments or opinions regarding this technology. Remember, I am a dummy. However, I will comment anyways, because that's my right as an Americuhhhnn and becuz, freeeedommmm.