A recurring problem faced when training neural networks is that there is typically not enough data to maximize the generalization capability of deep neural networks(DNN). There are many techniques to address this, including data augmentation, dropout, and transfer learning. In this paper, we introduce an additional method which we call Smart Augmentation and we show how to use it to increase the accuracy and reduce overfitting on a target network. Smart Augmentation works by creating a network that learns how to generate augmented data during the training process of a target network in a way that reduces that networks loss. This allows us to learn augmentations that minimize the error of that network. Smart Augmentation has shown the potential to increase accuracy by demonstrably significant measures on all datasets tested. In addition, it has shown potential to achieve similar or improved performance levels with significantly smaller network sizes in a number of tested cases.

Inverse reinforcement learning (IRL) has become a useful tool for learning behavioral models from demonstration data. However, IRL remains mostly unexplored for multi-agent systems. In this paper, we show how the principle of IRL can be extended to homogeneous large-scale problems, inspired by the collective swarming behavior of natural systems. In particular, we make the following contributions to the field: 1) We introduce the swarMDP framework, a sub-class of decentralized partially observable Markov decision processes endowed with a swarm characterization. 2) Exploiting the inherent homogeneity of this framework, we reduce the resulting multi-agent IRL problem to a single-agent one by proving that the agent-specific value functions in this model coincide. 3) To solve the corresponding control problem, we propose a novel heterogeneous learning scheme that is particularly tailored to the swarm setting. Results on two example systems demonstrate that our framework is able to produce meaningful local reward models from which we can replicate the observed global system dynamics.

We cover many emerging markets in the startup ecosystem. Previously, we published posts that summarized Financial Technology, Internet of Things, Bitcoin, and MarTech in six visuals. This week, we do the same with Artificial Intelligence (AI). At this time, we are tracking 855 AI companies across 13 categories, with a combined funding amount of $8.75billion. To see all of our AI related posts, check out our blog!

The latest issue of the IEEE Robotics & Automation Magazine features a special report on open-source robotics hardware and its impact in the field. We've seen how, over the last several years, open source software--platforms like the Robot Operating System (ROS), Gazebo, and OpenCV, among others--has played a huge role in helping researchers and companies build robots better and faster. Can the same thing happen with robot hardware? It's already happening, says robotics researcher and RAM editor-in-chief Bram Vanderborght, who explains that building hardware has gotten much easier thanks to things like 3D printers, laser cutters, modular open electronics kits, and other rapid prototyping and fabrication techniques. And while "open-source robotics hardware is taking longer to catch on" compared to open-source robotics software, he notes that "several impressive examples exist, taking advantage of benefits of those novel rapid prototyping possibilities."

Violence has been the sire of all the world's values," wrote poet Robinson Jeffers in 1940. "What but the wolf's tooth whittled so fine the fleet limbs of the antelope? What but fear winged the birds, and hunger jeweled with such eyes the great goshawk's head?" We've taken these metaphors for evolution to heart, reading them to mean that life is a race to kill or be killed. "Darwinian" stands in for "cutthroat," "survival of the fittest" signifies survival of the ruthless.

A 4-year-old boy in the U.K. saved his mom's life after he used Siri to call an ambulance, telling emergency services that "she's closing her eyes and she's not breathing." The boy used his unconscious mother's iPhone to contact police, according to a statement released this week by London's Metropolitan Police. The 4-year-old unlocked the device by pressing her thumb to the phone and used Siri to call for help by dialing 999 for emergency services. Police also released part of the boy's heart-breaking call. "Can you go and get mummy?"

Science fiction has, for many years, looked to a future in which robots are intelligent and cyborgs are commonplace. The Terminator, The Matrix, Blade Runner and I, Robot are all good examples of this vision. But until the last decade, consideration of what this might actually mean in the future was unnecessary because it was all science fiction, not scientific reality. Now, however, science has not only done some catching up; it's also introduced practicalities that the original story lines didn't appear to include (and, in some cases, still don't include). What we consider here are several different experiments linking biology and technology together in a cybernetic way--essentially ultimately combining humans and machines in a relatively permanent merger.

Apple has finally admitted it is investing'heavily' in building driverless cars Apple has finally admitted it is investing'heavily' in building driverless cars. Having made billions from bringing iPhones, iPods and iPads to the masses, the silicon valley giant is racing to bring self-driving cars to the roads. In a letter to US National Highway Traffic Safety Administration, the firm said it'was excited about the potential of automated systems in many areas, including transportation'. Senior executive Steve Kenner said the firm wanted to'help define best practices for the industry' and urged the regulator not to penalise firms testing driverless cars on public roads. In a statement, Apple added that Mr Kenner had written to the US regulator because it is'investing heavily in machine learning and autonomous systems'.

The US Senate has voted to overturn internet privacy rules passed by the Federal Communications Commission (FCC) last October. The rules were put in place to protect web users, banning internet service providers (ISPs) from sharing consumers' web browsing data, including history and financial, health, communications and location information, without their prior approval. ISPs have a lot to gain from the Senate's decision, which will almost certainly lead to them getting the green light to sell people's web data to advertising companies without permission. The giant human-like robot bears a striking resemblance to the military robots starring in the movie'Avatar' and is claimed as a world first by its creators from a South Korean robotic company Waseda University's saxophonist robot WAS-5, developed by professor Atsuo Takanishi and Kaptain Rock playing one string light saber guitar perform jam session A man looks at an exhibit entitled'Mimus' a giant industrial robot which has been reprogrammed to interact with humans during a photocall at the new Design Museum in South Kensington, London Electrification Guru Dr. Wolfgang Ziebart talks about the electric Jaguar I-PACE concept SUV before it was unveiled before the Los Angeles Auto Show in Los Angeles, California, U.S The Jaguar I-PACE Concept car is the start of a new era for Jaguar. Japan's On-Art Corp's CEO Kazuya Kanemaru poses with his company's eight metre tall dinosaur-shaped mechanical suit robot'TRX03' and other robots during a demonstration in Tokyo, Japan Japan's On-Art Corp's eight metre tall dinosaur-shaped mechanical suit robot'TRX03' performs during its unveiling in Tokyo, Japan Singulato Motors co-founder and CEO Shen Haiyin poses in his company's concept car Tigercar P0 at a workshop in Beijing, China A picture shows Singulato Motors' concept car Tigercar P0 at a workshop in Beijing, China Connected company president Shigeki Tomoyama addresses a press briefing as he elaborates on Toyota's "connected strategy" in Tokyo.

There were a few things that sent me into a panic about turning 40, but the biggest -- looming larger than the golden ring of a book deal or a staff job or, like, finally going back to yoga -- was what it meant for me to still be single and actively looking for a partner at that age. Not so much even that I was single, but that I cared and what that implied. It just felt really basic, to be frank. There are plenty of things I simply do not give a single solitary fuck about when it comes to what women my age are supposed to be doing. So why did this one detail bother me?