To most of us, a 3-D-printed turtle just looks like a turtle; four legs, patterned skin, and a shell. But if you show it to a particular computer in a certain way, that object's not a turtle -- it's a gun. Objects or images that can fool artificial intelligence like this are called adversarial examples. Jessy Lin, a senior double-majoring in computer science and electrical engineering and in philosophy, believes that they're a serious problem, with the potential to trip up AI systems involved in driverless cars, facial recognition, or other applications. She and several other MIT students have formed a research group called LabSix, which creates examples of these AI adversaries in real-world settings -- such as the turtle identified as a rifle -- to show that they are legitimate concerns.
There are many options to do the course work, e.g., AWS, PaperSpace, etc., but I found Google Colaboratory is the best and easiest option. Here is the instruction for the Fast.ai Unlike other option, Colab guarantees to work because Google starts with a clean, new virtual machine (VM) every time, and in the first few steps in the notebooks, it loads the required correct version of Pytorch and Fast.ai.
Understanding big data and artificial intelligence is not something reserved for computer scientists, said Kirk Borne, principal data scientist for the international consulting firm, Booz Allen Hamilton. Manipulating massive amounts of data that are becoming available will affect every form of intellectual and business pursuit. "Data literacy is a way of thinking, not a thing to think about," Borne told attendees of BDA Edcon, the International Big Data and Analytics Education Conference hosted by University of Maryland University College on June 3 and 4. The conference explored how the convergence of big data analytics, artificial intelligence and cognitive computing can be implemented into teaching and learning experiences today to meet industry demand. The two-day event included the final judging and presentation of awards for the annual Global Analytics Competition. Data literacy is "a way of business, a way of doing whatever we do in the world. It really is for everyone, not just for data scientists," according to Borne.
China is betting big on the potential of artificial intelligence to revolutionize education. A newly published MIT Technology Review story details how the nation is embracing AI as both a replacement and a supplement to human teachers -- and the outcome of the country's AI experiment could affect the future of education on a global scale. From algorithms that curate tutoring lessons to surveillance systems that monitor classroom progress, tens of millions of Chinese students currently rely on some sort of AI to help them learn, MIT Tech reports, with three elements factoring into AI-powered education's ability to thrive in China. For one, the nation has made it a point to incentivize such efforts through tax breaks. Then there's the fact that education is already something of a competitive sport in China, with students -- and their parents -- willing to try anything that might increase their test scores even slightly.
Outside of their ability to understand a company's fundamentals, one of the skills Raj Lala appreciates most about his portfolio managers is their ability to interpret body language. Sitting across from management teams before making a decision to either invest or divest from their companies, Lala, the CEO of Evolve ETFs, said his portfolio managers can learn a lot from simply reading the room. Maybe they spot a nervous twitch after a question on guidance or a CEO unable to make eye contact when responding to a question about declining revenues. That very human capability was at the forefront of Lala's mind when he was recently pitched on two types of artificial intelligence that he could incorporate into his portfolio management processes. And it's one of the reasons he said no. "I can't see AI getting to that point where it replaces human interaction and, quite honestly, I would say god bless our world if that's the case," Lala said.
Experts think artificial intelligence could help people do all sorts of things over the next couple of decades: power self-driving cars, cure cancer, and yes, transform K-12 education. Artificial Intelligence has always been part of our collective imagination. There is, of course, a ton of hype. Experts think this new type of "machine learning" could help people do all sorts of things over the next couple of decades: power self-driving cars, cure cancer, cope with global warming, and yes, transform K-12 education and the jobs students are preparing for. It's too early to say how much of that promise will end up bearing out.
One of Ayush Alag's earliest memories is of biting into a chocolate bar with cashew nuts and suddenly feeling his throat get itchy. For most of his childhood, the Santa Clara, California resident avoided eating anything with cashews and other nuts that caused irritation as best as he could. By his middle school years, he and his parents wanted to know for sure: did he have a serious food allergy, like 32 million other Americans, or was it just a food sensitivity? They sought the help of an allergist, Joseph Hernandez of Stanford University. Hernandez told them that the difference between an allergy and a food sensitivity is huge.
Ethan Cohen tried to laugh off his first experience with bullying on Instagram. Like many kids his age, the Raleigh, N.C., teen eagerly joined the platform in middle school, and one day he discovered fellow students snickering at an account. The feed was dedicated to jeers about what appeared to be a prominent muscle in his neck. One post compared it to the Great Wall of China. Another suggested "systems of equations" could be done on its size. To friends, he dismissed it as a dumb prank, but privately he was distressed. Someone was tailing him and posting mocking pictures for all to see. "The anonymity of it was freaky," says Cohen, now 18. He reported the account multiple times to Instagram.
In an unusual combination of disciplines, a basketball-shooting robot created by Japan's leading automaker helped students at a Tokyo elementary school on Friday to learn math. The physically active math lesson was joined by professional players from the B. League's Alvark Tokyo basketball team as well as Cue3, a humanoid robot made by one of the team's major sponsors, Toyota Motor Corp. The special class was part of Tokyo 2020 Math Drill, a learning program that incorporates 55 official sports from the Tokyo Olympics and Paralympics into math classes to provide fun learning opportunities. Sixth-graders at Fuchu Elementary School No. 10 in the city of Fuchu were divided into groups of 13 to 17 students. Each student shot the ball once and calculated the success rates for each group, making it an exercise in using fractions.
Some of the greatest scientists and inventors of the future are sitting in high school classrooms right now, breezing through calculus and eagerly awaiting freshman year at the world's top universities. They may have already won Math Olympiads or invented clever, new internet applications. We know these students are smart, but are they prepared to responsibly guide the future of technology? Developing safe and beneficial technology requires more than technical expertise -- it requires a well-rounded education and the ability to understand other perspectives. But since math and science students must spend so much time doing technical work, they often lack the skills and experience necessary to understand how their inventions will impact society.