February 3, 2017 --The dark knight could be getting a gear upgrade, thanks to a three-person robotics team. Anyone who's seen bats wheeling and swooping at dusk as they hunt for insects knows their unparalleled maneuverability. This fact hasn't escaped the notice of roboticists, who frequently take inspiration from natural sources, but bat-wing complexity has proved challenging to mimic. On Wednesday, a team from the University of Illinois at Urbana-Champaign and the California Institute of Technology published a paper outlining the construction of one of the most bat-like flying robots yet. Bats put birds to shame in terms of agility and efficiency, say the researchers.

Researchers have found that empathetic people interpret the facial expressions of dogs more intensely. The research suggests that humans interpret dog facial expressions in a similar way to human facial expressions. Empathy also makes people assess dogs' emotional facial expressions more rapidly. The research, based at the University of Helsinki and Aalto university, found that humans are good at recognizing the threatening facial expressions of dogs and considered them much more intense than similar threatening human expressions. However, humans rated happy facial expressions less intensely in dogs than they did in other humans.

To get everyone familiar with Arghon's many amazing features, we have decided to highlight one feature of our artificial intelligence each month. The feature for this month is Arghon Personalization: our AI's unique ability to learn and change for each individual user. Our AI learns a user's needs and adapts accordingly, proof of its superior standing in the AI market today. Arghon's ability to personalize to each user is arguably one of its best features.The more the AI gets familiar with a user's preferences, the more uniquely tailored it becomes. Each Arghon is different from any other AI in existence.

Too many laptops, tablets and other mobile devices leads to congested WiFi airwaves. Q: I have horrible Wi-Fi in rooms of my house. A: A wireless network repeater is a great way to extend coverage, but it has to be placed in the right spot. Most routers spread signals in a circle. The closer you are to the router, the stronger the signal. As the circle spreads out, there is a sweet spot to put the repeater.

SoundHound has been around for 10 years and, before today, had raised around $40 million in financing as its worked to build a massive conversational AI platform. But today, the company is adding an even more cash to that pile, nearly doubling the amount that it's already raised with a $75 million round including strategic investors like NVIDIA and Samsung Catalyst Fund, among others.

Finding the music of the moment can often be a challenging problem, even for humans with well-versed musical tastes. These challenges further explode into a myriad of complexities when attempting to construct algorithmic approaches for automatic playlist generation. A variety of factors play a role in influencing a listener's perception of what music is appropriate on a given seed (e.g. Erik Schmidt, Senior Scientist at Pandora will be presenting at the Machine Intelligence Summit in San Francisco, 23-24 March. Erik will present an overview of recommendations at Pandora, followed by a deep dive into the challenges of recommending content.

Title: What are the phenomena to be explained?

The development of artificial intelligence (AI) has had a huge influence on today's society, as ongoing discussions evaluate the impacts of creating machines and computer systems that can react and perform like humans. These systems can process information in a more cognitive way, making them capable of more human-like functions like learning, decision-making, and visual perception. Hollywood portrayals of hyper-intelligent robots taking over the planet might make artificial intelligence seem intimidating, but there is a lot that can be gained by through these advanced computer systems. Without the element of human error, intelligent machines are capable of unmatched precision and accuracy, and since they don't require fundamental human needs like oxygen or food, they can perform tasks with far fewer limitations. In fact, AI is already popping up everywhere in our daily lives – through social media recommendations, virtual assistants on our smartphones, and even self-driving cars.

Phrases such as "machine learning" and "artificial intelligence" are thrown around so often by so many people, they risk becoming buzzwords along the lines of "Big Data." But unlike "Big Data," which was always a somewhat-nebulous term, "machine learning" is a definitive process that, when applied correctly, can result in some impressive feats. For instance, check out how Google used it to radically transform the sophistication of Google Translate, one of its core services. For those tech professionals who wish to break into machine learning and artificial intelligence, make no mistake about it: there's a lot of education and training involved. Google wants to make that journey a little easier, though, with a new three-hour course that offers a quick overview of deep-learning fundamentals.

A group of Chinese ophthalmologists and scientists developed a deep learning algorithm to identify congenital cataracts, a rare eye disease responsible for nearly 10 percent of all vision loss in children worldwide. The researchers suggest the algorithm would assist humans, instead of replacing them. "For doctors, technology is not sufficient to determine the best course of treatment with 100 percent certainty, and doctors should therefore make good use of the machine's suggestion to identify and prevent the potential misclassification and complement their own judgment," said study co-author Haotian Lin, a professor of ophthalmology at Sun Yat-sen University. "The results of our comparative analysis showed that both artificial intelligence and human intelligence have strengths and limitations." Using CUDA, TITAN X Pascal GPUs and the cuDNN-accelerated Caffe deep learning framework, the researchers algorithm was able to catch the disease with more than 90% accuracy.