Last week, PLOS Medicine and PLOS ONE editors Linda Nevin and Meghan Byrne attended Human Intelligence & Artificial Intelligence (HIAI) in Medicine, a Stanford Presence Center symposium. HIAI brought together thought leaders in medicine, computer science and policy to envisage an inclusive, equitable and humane experience in medicine with AI solutions. A few highlights from the symposium are described here. "Supervised learning is the ultimate example of'garbage in, garbage out'," computer scientist and former Stanford President John L. Hennessy told the audience in his opening remarks at last Tuesday's Human Intelligence & Artificial Intelligence (HIAI) in Medicine Symposium, hosted by the Stanford Presence Center. Dr. Hennessy was honored at the symposium for his recent Turing Award, but his talk stayed true to the Presence mission--championing human intelligence in medicine as artificial intelligence (AI)'s role in the clinic grows.
Two mayors discussed how they are using artificial intelligence and machine learning to improve their cities and prepare for the workforce of the future at a conference held April 23 in Chicago. The event was hosted by news organization Axios and the United States Conference of Mayors and led by Axios Executive Editor Mike Allen. Also joining the discussion was Imir Arifi, head of artificial intelligence and machine learning at Health Care Service Corporation. According to Arifi, the main use of AI and machine learning is through historical data to predict future events. In a city, for example, Arifi said AI can be used to predict how many potholes the city will need to fill in a year based on data from previous years.
Singapore's Ngee Ann Polytechnic (NP) and London-based Centre for Finance, Technology and Entrepreneurship (CFTE) will jointly launch an industry-led AI in Finance (AIF) online course on June 24, 2018. Through this course, both NP and CFTE hope to support and to nurture talent in Fintech and to boost Fintech development in their respective regions and around the world. The course is accredited by SkillsFuture Singapore and is in the process of obtaining accreditation with The Institute of Banking and Finance Singapore. It aims to update finance professionals and technologists on the AI revolution and create an online community of learners and experts in AI to connect and network for future collaborations. Over 20 finance and technology thought leaders and insiders will come together to share key fundamentals and real-life case studies on how AI is reshaping the finance industry worldwide.
Module 3 consists of two lessons: Lessons 5 and 6. In Lesson 5, we discuss mining sequential patterns. We will learn several popular and efficient sequential pattern mining methods, including an Apriori-based sequential pattern mining method, GSP; a vertical data format-based sequential pattern method, SPADE; and a pattern-growth-based sequential pattern mining method, PrefixSpan. We will also learn how to directly mine closed sequential patterns. In Lesson 6, we will study concepts and methods for mining spatiotemporal and trajectory patterns as one kind of pattern mining applications.
About this course: If you're a software developer and new to blockchain, this is the course for you. Several experienced IBM blockchain developer advocates will lead you through a series of videos that describe high-level concepts, components, and strategies on building blockchain business networks. You'll also get hands-on experience modeling and building blockchain networks as well as create your first blockchain application. The first part of this course covers basic concepts of blockchain, and no programming skills are required. However, to complete three of the four labs, you must understand basic software object-oriented programming and how to use the command line.
About this course: In this course, we will learn all the core techniques needed to make effective use of H2O. Even if you have no prior experience of machine learning, even if your math is weak, by the end of this course you will be able to make machine learning models using a variety of algorithms. We will be using linear models, random forest, GBMs and of course deep learning, as well as some unsupervised learning algorithms. You will also be able to evaluate your models and choose the best model to suit not just your data but the other business restraints you may be under.
NEW DELHI: Sanskrit is not restricted to spiritualism, philosophy, or literature, President Ram Nath Kovind on Saturday said, stressing that experts believe that the language is most appropriate for writing algorithms besides use in machine learning and artificial intelligence. The president made the remarks during his address at the 17th convocation of the Shri Lal Bahadur Shastri Rashtriya Sanskrit Vidyapeetha here. "The tradition of Sanskrit language, literature and science has been the most effective chapter in the glorious journey of our intellectual growth. "It is said that India's soul is reflected in Sanskrit language, which is the mother of several languages," he said, according to a press release. Kovind said the most important thing is that proliferation of the knowledge available in Sanskrit is very relevant for the welfare of the world.
Reliance is set to pick up a majority 72.69 percent stake in online education platform Embibe, which uses data analytics to deliver personalised learning outcomes to students. Reliance today agreed to invest the rupee equivalent of $180 million into Embibe, the Bengaluru-based AI education platform, over the next three years. A part of this will be towards acquiring a stake of 72.69 percent from Embibe's existing investors. The transaction is subject to customary closing conditions. This is one of the biggest transactions in the Indian education and deep technology space.
EXPERTS warn that "the substitution of machinery for human labour" may "render the population redundant". They worry that "the discovery of this mighty power" has come "before we knew how to employ it rightly". Such fears are expressed today by those who worry that advances in artificial intelligence (AI) could destroy millions of jobs and pose a "Terminator"-style threat to humanity. But these are in fact the words of commentators discussing mechanisation and steam power two centuries ago. Back then the controversy over the dangers posed by machines was known as the "machinery question".
A Metropolitan Police Department panel is calling for the use of information and communications technology, including artificial intelligence and big data, to prevent crime. The panel, led by Takushoku University professor Tadashi Moriyama, said in an MPD report released Friday that ICT works for crime prevention and event security and is "needed to secure the safety of people in Tokyo, and in Japan." The panel also highlighted related problems, such as the handling of personal data. Based on the report, the MPD will start detailed discussions with the aim of using ICT for security during the 2020 Tokyo Olympics. The panel, composed of five experts from fields such as information and communications and criminology, discussed ways to aggregate and analyze the MPD's vast crime and accident database, data on social networking services, and publicly available information, such as weather, to conduct police activities, the report said.