If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
Machine learning and AI may be deployed on such grand tasks as finding exoplanets and creating photorealistic people, but the same techniques also have some surprising applications in academia: DeepMind has created an AI system that helps scholars understand and recreate fragmentary ancient Greek texts on broken stone tablets. These clay, stone or metal tablets, inscribed as much as 2,700 years ago, are invaluable primary sources for history, literature and anthropology. They're covered in letters, naturally, but often the millennia have not been kind and there are not just cracks and chips but entire missing pieces that may comprise many symbols. Such gaps, or lacunae, are sometimes easy to complete: If I wrote "the sp_der caught the fl_," anyone can tell you that it's actually "the spider caught the fly." But what if it were missing many more letters, and in a dead language, to boot?
As artificial intelligence is being used to solve problems in healthcare, agriculture, weather prediction and more, scientists and engineers are investigating how AI could be used to fight climate change. AI algorithms could indeed be used to build better climate models and determine more efficient methods of reducing CO2 emissions, but AI itself often requires substantial computing power and therefore consumes a lot of energy. Is it possible to reduce the amount of energy consumed by AI and improve its effectiveness when it comes to fighting climate change? Virginia Dignum, an ethical artificial intelligence professor at the Umeå University in Sweden, was recently interviewed by Horizon Magazine. Dignum explained that AI can have a large environmental footprint that can go unexamined.
About a year ago, top deepfake artist Hao Li came to a disturbing realization: Deepfakes, i.e. the technique of human-image synthesis based on artificial intelligence (AI) to create fake content, is rapidly evolving. In fact, Li believes that in as soon as six months, deepfake videos will be completely undetectable. And that's spurring security and privacy concerns as the AI behind the technology becomes commercialized – and gets in the hands of malicious actors. Li, for his part, has seen the positives of the technology as a pioneering computer graphics and vision researcher, particularly for entertainment. He has worked his magic on various high-profile deepfake applications – from leading the charge in putting Paul Walker into Furious 7 after the actor died before the film finished production, to creating the facial-animation technology that Apple now uses in its Animoji feature in the iPhone X.
This repository contains code for evaluating visual models on a challenging set of downstream vision tasks, coming from diverse domains: natural images, artificial environments (structured) and images captured with non-standard cameras (specialized). These tasks, together with our evaluation protocol, constitute VTAB, short for Visual Task Adaptation Benchmark. Our benchmark expects a pretrained model as an input. The model should be provided as a Hub module. The given model is independently fine tuned for solving each of the above 20 tasks.
Artificial intelligence is becoming increasingly popular. More and more businesses are adopting AI approaches and implementing the use cases that are efficient enough, the global revenue of AI solutions is estimated to reach the mark of 118.6 billion dollars by 2025. Serving customers and businesses with the best experience and services worldwide, AI approaches are rapidly replacing the traditional approaches and decreasing the requirement for humans to perform certain redundant tasks. One of the most popularly known and used concepts of AI (Artificial Intelligence) is chatbots. Chatbots are built to serve the customers by answering their queries efficiently and on time without needing a human from the business side.
CATONSVILLE, MD, September 23, 2019 - Chatbots, which use artificial intelligence to simulate human conversation through voice commands or text chats, incur almost zero marginal costs and can outsell some human employees by four times, so why aren't they used more often? According to new research, the main contributor is customer pushback. The machines don't have "bad days" and never get frustrated or tired like humans, and they can save money for consumers, but new research in the INFORMS journal Marketing Science says if customers know about the chatbot before purchasing, sales rates decline by more than 79.7%. The study authors, Xueming Luo and Siliang Tong (both of Temple University), Zheng Fang of Sichuan University, and Zhe Qu of Fudan University, targeted 6,000 customers from a financial services company. They were randomly assigned to either humans or chatbots, and disclosure of the bots varied from not telling the consumer at all, to telling them at the beginning of the conversation or after the conversation, or telling them after they'd purchased something.
Investing in emerging technologies can be extremely risky. It can also be extremely rewarding – and not just for your bank account. Technologies like artificial intelligence have the potential to change the world in many different ways. One of the industries where AI is already making real advances is healthcare, such as the ability to design and validate drug candidates to treat disease in less than two months. That has attracted the attention of plenty of deep-pocketed investors into AI healthcare startups, which have made more deals than any other AI industry since 2014, according to research firm CB Insights, with more than 80 AI diagnostics and medical imaging companies leading the way across 150 deals and counting.
Are you looking to incorporate AI tech in your existing business model or are you generally curious about this technology? In either case, there are some mind-boggling essential facts that you must know about AI. Starting with the basics, we are quickly briefing you about this technology. In the current industry scenario, some industry sectors are at the start of their AI journey, while others are veterans. Artificial Intelligence and Machine Learning are now considered one of the significant innovations since the microchip.
Swipe right for "would like to meet", left for "wouldn't". Seven years after Tinder made choosing a date as simple as flicking your thumb across a smartphone screen, it is by far the most-used dating app in the UK and the US. Downloaded 300m times and with more than 5 million paying subscribers, it is the highest-grossing app of any kind in the world, according to the analysts App Annie. For Americans, apps and online dating are the most common way to meet a partner. "It's an amazing responsibility, and an amazing privilege," says Elie Seidman, Tinder's 45-year-old chief executive.