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) …
A new machine-learning model developed by a West Virginia University student has the potential for energy, environmental and even healthcare applications. The model, which can be used to predict the adsorption energies, i.e. adhesive capabilities in gold nanoparticles, was developed by Gihan Panapitiya, a doctoral physics student from Sri Lanka. Gold nanoparticles have historically been used by artists to bring out vibrant colors via their interaction with light. Now they are increasingly used in high technology applications, electronic conductors and others. "Machine learning recently came into the spotlight, and we wanted to do something linking machine learning with gold nanoparticles as catalysts," he said.
Amazon's decision to build its HQ2 in Long Island City – and bring as many as 25,000 jobs to the region – has generated a host of reactions, ranging from elation about what it does for the region's economic development to condemnation and cries of crony capitalism. While those issues are debated, the online retailer's presence presents a tremendous opportunity for business, higher education and political leaders to address the real challenges of the new economy as defined by innovation, entrepreneurship and technological change. Advances in artificial intelligence (AI) – that is, machines that can think and learn – analytics, automation and tracking increasingly will be integrated into just about every aspect of business. All of this underscores the importance of re-examining business ethics. We must train the next-generation workforce to understand that ethical leadership and empathy matter.
It feels like this week wouldn't end, but Friday's finally here. Congrats -- you made it. With the weekend upon us, we've rounded up the best deals from Amazon, Walmart, Best Buy, and Macy's on laptops and accessories, home products like cookware and floor care, and Amazon devices and tablets for video streaming and home security. You can save $110 off a pair of Beats by Dre Studio3 headphones at Best Buy and save $73 off the Instant Pot DUO50 and $20 off the Instant Pot DUO30, both on Amazon. Also, we found deals on Udemy online courses to continue your education into adulthood.
When we talk about artificial intelligence, there is hardwired imagery of massive thinking machines working in a science-fiction environment. Since AI technology has become the talk among many scholars and researchers, it is essential for more students to know about its functions. After all, they are going to give creative shape towards the growth of AI's industry in the future. Hence, to understand the rapid advancement of technology and master the concept of AI, many educationists from across the world are initiating educational institutions to include Artificial Intelligence in their syllabus. Promoting just that, the Indian Institute of Technology (IIT) Hyderabad will launch a full-fledged B tech program in AI from the coming academic year 2019-20.
Not all these contributions were from 2018, but the few selected below were among the most visited in 2018. Some were heavily featured, so it does not mean that they represent the average DSC interest. A bigger list featuring 900 most popular articles can be found here. I am still working on categorizing them, and may hire an intern to work on this project, using material described in this article or this one. Likewise, one of my old academic papers published in 1994 in IEEE Pattern Analysis and Machine Intelligence, an obscure, very theoretical math paper, entitled "Simulated Annealing: a Proof of Convergence" is getting a lot of traction recently in AI circles - giving me an academic score better than many university professors.
Researchers have developed a new way to image the brain with unprecedented resolution and speed. Using this approach, they can locate individual neurons, trace connections between them, and visualize organelles inside neurons, over large volumes of brain tissue. The new technology combines a method for expanding brain tissue, making it possible to image at higher resolution, with a rapid 3-D microscopy technique known as lattice light-sheet microscopy. In a paper appearing in Science Jan. 17, the researchers showed that they could use these techniques to image the entire fruit fly brain, as well as large sections of the mouse brain, much faster than has previously been possible. The team includes researchers from MIT, the University of California at Berkeley, the Howard Hughes Medical Institute, and Harvard Medical School/Boston Children's Hospital.
What inspired you to take an interest in robots? I've always played with robots. For example, I remember a competition in high school where my friends and I built a robotic arm to move the chess pieces on the chessboard. It seems very trivial now, but way back then, the robots were all primitive and as high school students, we thought that building a robot that could do that was a big deal. Graduate students Ashutosh Saxena, left, and Morgan Quigley, center, and Ng were part of a large effort to develop a robot to see an unfamiliar object and ascertain the best spot to grasp it.
Identifying cat pictures is a no-brainer for AI, but applying machine learning to healthcare is a delicate matter of making choices about what will help a person versus what is merely interesting research. That fact is expressed in the approach to artificial intelligence taken by a Waltham, Mass-based company called NeuroMetrix, which sells a novel gadget to ease chronic pain. CEO Shai Gozani, an M.D., PhD, is enthusiastic about AI, but not religious; in fact, he has a sense of humor about the recent resurgence in popularity of neural networks. "I was doing computer science in the mid 80s at Berkeley, and AI was big," Gozani recalled during an interview last week with ZDNet. "And then I went to medical school, and two or three years ago, AI was suddenly big again, and I said to myself, Hey, this is the same thing that I heard about at that course I went to back then, between those Bruce Springsteen concerts!"
In an attempt to skill Indian youths in Artificial Intelligence, Microsoft India has taken an initiative to train five lakh youths. The company aims to train five lakh youths in AI across the country and would set up AI labs in 10 universities. Additionally, the company plans to upskill 10,000 developers in emerging technology areas like AI, IoT, etc. Microsoft also started Intelligent Cloud Hub Program to equip research and higher education institutions with AI infrastructure, build curriculum and help both faculty and students to build their skills and expertise in cloud computing, data sciences, AI and IoT. Anant Maheshwari, President, Microsoft India shares, "We believe AI will enable Indian businesses and more for India's progress, especially in education, skilling, healthcare, and agriculture. Microsoft also believes that it is imperative to build higher awareness and capabilities on security, privacy, trust, and accountability. The power of AI is just beginning to be realized and can be a game-changer for India."
The ubiquity of mobile computing -- and rise of algorithms that determine what we watch, hear and experience -- is raising frequent, and perhaps well-founded, concerns about the disintermediation of humans from decision making. Chat bots respond to our most obscure queries in nanoseconds. Algorithms help us pick the perfect restaurant, partner or job candidate. Artificial intelligence, in particular, conjures fears of a dystopian future where Elon Musk's "demons" come for more than just our jobs. And on college campuses, worthy questions are being asked about the incongruity between higher education's mission and the rise of analytics that sort and filter students or faculty in ways that undermine higher education's promise -- and mission.