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) …
Geoffrey Hinton Distinguished Professor Emeritus, Computer Science Department, University of Toronto Geoffrey Hinton received his PhD in Artificial Intelligence from Edinburgh in 1978. After five years as a faculty member at Carnegie Mellon he became a fellow of the Canadian Institute for Advanced Research and moved to the Department of Computer Science at the University of Toronto where he is now an emeritus professor. Geoffrey Hinton was one of the researchers who introduced the backpropagation algorithm and the first to use backpropagation for learning word embeddings. His other contributions to neural network research include Boltzmann machines, distributed representations, time-delay neural nets, mixtures of experts, variational learning and deep learning. His research group in Toronto made major breakthroughs in deep learning that revolutionized speech recognition and object classification.
In 2018 I was depressed and unmotivated, I thought of myself as a failure and I thought I was too dumb to finish my degree or learn anything at all, I had no direction in life and just wanted everything to be over. Two years later, one spent working abroad and another dedicated to studying, I have a completely different perspective about myself and I just started my new exciting developer job on Monday. It took a lot of courage (and argumentations to convince my parents) to leave my university after three years of studies to accept a job in a Lisbon without knowing anyone nor the language but it was a wonderful experience that helped me find myself. Again it took even more grit and determination to leave Lisbon and start studying again, but I did it because I knew my dream was to become a programmer. I have no expertise in psychology and the best advice I have if you are in a dark place is to seek professional help, but I know what it feels to be lost and I want to help anyone that shares my same dream by writing this article offering actionable advice on how to achieve a career in software development.
Frances E. Allen, an American computer scientist, ACM Fellow, and the first female recipient of the ACM A.M. Turing Award (2006), passed away on Aug. 4, 2020--her 88th birthday--from complications of Alzheimer's disease. Allen was raised on a dairy farm in Peru, NY, without running water or electricity. She received a BS degree in mathematics from the New York State College for Teachers (now the State University of New York at Albany). Inspired by a beloved math teacher, and by the example of her mother, who had also been a grade-school teacher, Allen started teaching high school math. She needed a master's degree to be certified, so she enrolled in a mathematics master's program at the University of Michigan.
As part of its ongoing collaboration with two of the world's leading developers of AI software, the Pontifical Academy for Life will launch a new joint project looking at ethical ways artificial intelligence can be used to guarantee food security. The academy, together with the heads of Microsoft, IBM and the U.N. Food and Agriculture Organization, were to unveil details about the project at an online event Sept. 24. The goals of the event include presenting concrete solutions to the agri-food business with the ethical use of AI and looking at the "post COVID-19 route" to take, the academy said in a press release Sept. 15. "Concrete experiences of using artificial intelligence to ethically address global environmental challenges will be presented," it said. Titled, "AI, Food for All: Dialogue and Experiences," the conference was a follow-up to a Feb. 28 event held at the Vatican that included the signing of a "Call for AI Ethics" by the leaders of the papal academy, Microsoft, IBM, the FAO and a representative of the Italian government.
The Hong Kong Institute for Monetary and Financial Research (HKIMR), the research segment of the Hong Kong Academy of Finance (AoF), has published a on AI and banking. Entitled "Artificial Intelligence in Banking: The Changing Landscape in Compliance and Supervision" the report seeks to provide insights on the long-term development strategy and direction of Hong Kong's financial industry. This is the second report by AoF that tackles AI with the first addressing AI adoption within banking – a document completed with the collaboration of the Hong Kong Monetary Authority (HKMA). According to the earlier report, over 80% of participating banks view AI adoption as a way of improving efficiency and strengthening risk management. Banks are said to be optimistic about the prospects of using AI, with some 80% of survey respondents planning to increase investment in AI over the next 5 years.
Artificial Intelligence (AI) is helping to improve our society, enhance Australia's wellbeing, improve environmental sustainability and create a more equitable, inclusive and fair society. But as we work to reshape government delivery with AI, are we asking the right questions? The role of AI, including policy implications and the nature of industry in society, is being discussed today in a live-stream event co-hosted by the Institute of Public Administration Australia (IPAA) and the Australian Council of Learned Academies (ACOLA). ACOLA CEO Ryan Winn said the event will feature a keynote presentation by Australia's Chief Scientist, Dr Alan Finkel AO and a panel discussion with ACOLA's AI Expert Group and key Government officials leading AI implementation. "The event will give rise to further discussion on the future opportunities and challenges of AI in industry and Government operations and service delivery, and what implications this will have on society for 2030," Mr Winn said.
We often hear in the news about this thing called "machine learning" and how computers are "learning" to perform certain tasks. From the examples we see, it almost seems like magic when a computer creates perfect landscapes from thin air or makes a painting talk. But what is often overlooked, and what we want to cover in this tutorial, is that machine learning can be used in video game creation as well. In other words, we can use machine learning to make better and more interesting video games by training our AIs to perform certain tasks automatically with machine learning algorithms. This tutorial will show you how we can use Unity ML agents to make an AI target and find a game object. More specifically, we'll be looking at how to customize the training process to create an AI with a very specific proficiency in this task. Through this, you will get to see just how much potential machine learning has when it comes to making AI for video games. So, without further ado, let's get started and learn how to code powerful AIs with the power of Unity and machine learning combined!
If you've ever had a furious debate about the ungodly act of microwaving your cup of tea and how "it's the same" as boiling the kettle, you're about to lose -- not only to Britain but to science. Researchers have explained the process your zapped cuppa goes through in a new study published in the American Institute of Physics' peer-reviewed online journal AIP Advances, and why you might not be getting the best results from making it this way over the traditional kettle/stove method. The study, conducted by researchers at the University of Electronic Science and Technology of China, looked at how heating liquid works in a microwave, and how the electric field that acts as a warming source causes the liquid to end up different temperatures at the top and bottom of the cup. A good cup of tea is all about getting uniform temperature throughout your water and, though many scholars have studied uniformity and how to solve it within the microwave itself, these researchers have offered up a different possible solution (more on that later). Typically, the study describes, if you're warming a liquid like water on the stove or within a kettle, the heating source warms the container from below.
China launched an artificial intelligence (AI) open-source platform Saturday to jointly promote the global development of the booming industry. The research and development of the Dubhe platform was started in October 2018, with nearly 100 researchers involved in the project. It aims to become an industry leader by forging an artificial intelligence cooperation ecosystem and facilitating the advancement of the industry. "We hope that we can gather together leading innovative forces in the industry to build a high-performance platform and framework for the development of artificial intelligence algorithms, and establish independent artificial research and industrial ecosystem," said Zhu Shiqiang, director of Zhejiang Lab in east China's Zhejiang Province. The lab, jointly built by the Zhejiang provincial government, Zhejiang University and Alibaba Group, covers major areas such as intelligent transport, intelligent finance, smart city, intelligent healthcare and robotics.