The color-changing capabilities of chameleons have long bewildered willing observers. The philosopher Aristotle himself was long mystified by these adaptive creatures. But while humans can't yet camouflage much beyond a green outfit to match grass, inanimate objects are another story. A team from MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) has brought us closer to this chameleon reality, by way of a new system that uses reprogrammable ink to let objects change colors when exposed to ultraviolet (UV) and visible light sources. Dubbed "PhotoChromeleon," the system uses a mix of photochromic dyes that can be sprayed or painted onto the surface of any object to change its color -- a fully reversible process that can be repeated infinitely.

As Apple prepares to launch a new iPhone, Alex Hern explores the privacy scandal around its automated personal assistant, Siri.

Value is extremely hard to define when it comes to healthcare, according to University of Washington computer science professor Ankur Teredesai, co-founder and chief technology officer of Seattle-based KenSci, a company that provides a risk prediction platform powered by artificial intelligence and machine learning. Teredesai, who co-chaired this year's Association for Computing Machinery's KDD Conference, held in August in Anchorage, says the entire premise of value in healthcare is based on the ability to measure performance metrics while simultaneously establishing baselines for reducing unwarranted variation. "Data is central to cost prediction and estimating unwanted variation," he adds, noting that eventually, providers will use data and AI-driven decision-making for optimizing schedules and assessing patient risk. At the KDD Conference, Teredesai encouraged healthcare communities to think beyond the size of data and focus on the complexity and integrity of data sources. "Advances along these lines will help bend the utilization curve much before we see doctors being replaced by AI," he says.

Vijay Kumar is one of the top roboticists in the world, professor at the University of Pennsylvania, Dean of Penn Engineering, former director of GRASP lab, or the General Robotics, Automation, Sensing and Perception Laboratory at Penn that was established back in 1979, 40 years ago. Vijay is perhaps best known for his work in multi-robot systems (or robot swarms) and micro aerial vehicles, robots that elegantly cooperate in flight under all the uncertainty and challenges that real-world conditions present. This conversation is part of the Artificial Intelligence podcast run by Lex Fridman.

'Europe's biggest tech fair, Berlin's IFA, is showcasing a flood of product launches until Wednesday. Here are five trends and gadgets making waves. California start-up Varram showcased a Pet Fitness robot, which plays with cats and dogs at home via smartphone instructions, even dropping treats as a reward, while the owner is at work. Sensors in the robot help it detect and stay away from furniture to not get stuck, avoiding bored pets. The robot can be timed to play with the family pet at different times and keep track of how much activity the animal has had.

Noah Gift is lecturer and consultant at UC Davis Graduate School of Management in the MSBA program. Professionally, Noah has approximately 20 years' experience programming in Python and is a member of the Python Software Foundation. He has worked for a variety of companies in roles ranging from CTO, general manager, consulting CTO, and cloud architect. Currently, he is consulting start-ups and other companies on machine learning and cloud architecture, and is doing CTO-level consulting via Noah Gift Consulting. He has published close to 100 technical publications including two books on subjects ranging from cloud machine learning to DevOps.

In today's disruptive age, Computer Vision has gained a lot of traction as it is poised to transform industries, and is making lives easier. It is an artificial intelligence technology enabling computers to understand and label images. Its use cases are video surveillance, self-driving car testing, daily medical diagnostics, and monitoring the health of crops and livestock. The computer vision market is rapidly growing as it is being progressively leveraged by different types of organizations to increase the skills of workers, automate business processes, improve efficiencies, lessen costs, among others. There are a huge number of computer vision software providers in the market.

Nowadays, researchers are striving to implement human-level understanding into robots. In this article, we list down 10 open-source datasets that can be used to learn robotics in an advanced way. The robot arm pushing dataset contains approximately 59,000 examples of robot pushing motions which including one training set (train) and two test sets. The first test set used two different subsets of the objects pushed during training. The second test set involved two subsets of objects. One key application of this dataset is to implement it in a learned model for decision making in vision-based robotic control tasks.

Salvador Dalí, in his home on the Costa Brava, installed a unique feature: a mirror mounted at a specific angle on the wall of his bedroom. It wasn't so he could see himself in the morning, brush his teeth at night, or fret over some ostentatious outfit. It was so that, when the sun rose, its light would reflect into his face, and he would be the first Spaniard in Spain to see it. He tailored the space around him to suit his perspective, his ideal vision of what his home and life should look like. That's what the Internet of Things (IoT) will let us all do.

The majority of NHS users would rather discuss their hospital and GP appointments with an artificial intelligence service instead of a human. That's according to new research from technology startup EBO.ai, which explores the growing role digital communication tools play in the NHS. It found that more than three quarters (76%) of NHS users would be happy to receive automated reminders from an AI-powered virtual assistant, compared to the 58% who'd rather interact with a human. Figures from NHS England claim that missed appointments cost the health service over £216 annually, and many people believe that AI technology could help minimize this cost. Dr. Gege Gatt, CEO of EBO.ai, said: "The NHS has already invested millions in the latest technologies, but the enormous potential of AI remains largely untapped. "The adoption we have seen thus far has focused on primary patient care including assessment and diagnosis, but AI can improve patient experiences outside the treatment room too." "Virtual assistants help patients manage their care 24/7, with no need to wait for opening hours or spend time on hold in a phone queue.