'Veronika' Is the First Cow Known to Use a Tool This is the first recorded instance of a bovine using tools from her environment to relieve an itch--leaving scientists astonished. Justice for cartoonist Gary Larson: A team of scientists has observed, for the first time, a cow using a tool in a flexible manner. The ingenuity of "Veronika," as the animal is called, shows that cattle possess enough intelligence to manipulate elements of their environment and solve challenges they would otherwise be unable to overcome. Veronika is a pet cow in Austria. Nor was she trained to do tricks; on the contrary, for the past 10 years she has developed the ability to find branches in the grass, choose one, hold it with her mouth, and scratch herself with it to relieve skin irritation. Until now, only chimpanzees had convincingly demonstrated the ability to employ tools to improve their living conditions.

Breakthroughs, discoveries, and DIY tips sent every weekday. Most of us have heard of pimple patches, those circular bandage-like patches to clear up a zit . More importantly, many of us have heard of pimple patches--the ones that cost a fortune, stick to your face for maybe 30 minutes, and do absolutely nothing for that angry whitehead you woke up with this morning. However, the team behind a small study published in the journal, claim to have developed a two-step pimple patch that actually works. How can they claim this?

The new flagship Philips Norelco is a shaver that cleverly harnesses AI for a closer shave. Its phone app eats battery charge, though. All products featured on WIRED are independently selected by our editors. However, when you buy something through our retail links, we may earn an affiliate commission. Closest shave I've seen from an electric shaver.

In the quest for electrically-driven soft actuators, the focus has shifted away from liquid-gas phase transition, commonly associated with reduced strain rates and actuation delays, in favour of electrostatic and other electrothermal actuation methods. This prevented the technology from capitalizing on its unique characteristics, particularly: low voltage operation, controllability, scalability, and ease of integration into robots. Here, we introduce a phase transition electric soft actuator capable of strain rates of over 16%/s and pressurization rates of 100 kPa/s, approximately one order of magnitude higher than previous attempts. Blocked forces exceeding 50 N were achieved while operating at voltages up to 24 V. We propose a method for selecting working fluids which allows for application-specific optimization, together with a nonlinear control approach that reduces both parasitic vibrations and control lag. We demonstrate the integration of this technology in soft robotic systems, including the first quadruped robot powered by liquid-gas phase transition.

Most consumers would be dismayed with how little we know about the majority of chemicals. Only 3 percent of industrial chemicals – mostly drugs and pesticides – are comprehensively tested. Most of the 80,000 to 140,000 chemicals in consumer products have not been tested at all or just examined superficially to see what harm they may do locally, at the site of contact and at extremely high doses. I am a physician and former head of the European Center for the Validation of Alternative Methods of the European Commission (2002-2008), and I am dedicated to finding faster, cheaper and more accurate methods of testing the safety of chemicals. To that end, I now lead a new program at Johns Hopkins University to revamp the safety sciences.

And in the future, dashboard emotion detectors could search for signs of irritation in a bid to identify the first signs of road rage. A prototype of the device is able to read a driver's facial expressions using a tiny embedded camera. Scientists at École polytechnique fédérale de Lausanne (EPFL), Switzerland, developed the prototype device, which identifies a driver's emotions - including anger (pictured) - using an infrared camera placed behind the steering wheel to film their face Scientists at École Polytechnique Fédérale de Lausanne (EPFL), Switzerland, have developed the system which identifies which of the seven universal emotions a person is feeling: fear, anger, joy, sadness, disgust, surprise, or suspicion. They believe their technology could be of use in medicine, marketing, gaming and in driver safety. 'We know that in addition to fatigue, the emotional state of the driver is a risk factor, the researchers said.

I've been an Apple user for over a decade, ever since I picked up a refurbished 17in PowerBook back in 2005 to replace my ailing Windows XP box. But last month, after Apple announced its most expensive new MacBook Pros in almost 15 years, I reconsidered my decision for the first time and, for the past few weeks, I've been back on a Windows PC. My first three computers were PCs, although the house I grew up in had an ailing, hated Power Mac Performa. My reasons for switching in my teens were fairly simple: I'd been playing fewer and fewer PC games, and spending increasing amounts of time using my computer to manage the music library linked to my iPod. I was one of those switchers, surprised by the elegance of Apple's music player and convinced to take the plunge into their full desktop operating system.

We have constructed a system that supports unscripted social interaction between a player and virtual characters, where the participants pursue internal agendas and respond to one another in real-time.  Our emphasis on unscripted interaction means that the characters must accept dynamically generated performance requests, while our concern with social interaction implies that the characters must interleave performances with an attention to natural flow that encourages social engagement. We present initial work on a performance management mechanism that produces this interleaving.   It initiates and suspends character performances by allocating animation resources to requests via a utility function representing aesthetic concerns.  That function weighs extrinsic factors reflecting the purpose of taking an action against intrinsic ones that concern features of a given performance.  We show, via multiple short videos, that the features are individually material to the aesthetic quality of the result and that the mechanism can produce aesthetically pleasing performances on par with the best hand-generated prioritization scheme. We argue, anecdotally, that the parameters of the model are easy to identify, suggesting that the feature vocabulary is both intuitive and useful for shaping character performances.

Microblogging websites such as Twitter are increasingly being used by businesses/campaigners for timely dissemination of information to their followers. The diffusion of a tweet depends on several factors: the activity of the follower nodes, the responsiveness of follower nodes to tweets from the source node, the out-degree of the follower nodes, the content of recent related tweets seen by the follower node, etc. Using such factors, in this paper, we propose a framework to measure the effectiveness of an information campaign over Twitter. We consider a positive as well as a negative metric to measure the impact of a tweet: while retweets are used to measure the positive impact, the lack of a timely response from an active follower node is taken as a potential negative impact. We investigate the scheduling of tweets to increase the net positive impact while keeping the net negative impact below a desired level. We propose and study several scheduling algorithms by casting the problem in a Markov Decision Process (MDP) framework. In order to compare our algorithms, we estimate the model parameters from tweet data collected using the Twitter API from an arbitrarily selected node and its 6837 followers over several months. For this dataset, we find that if successive tweets in the campaign are novel, then substantial gains over user activity based scheduling can be obtained by scheduling tweets in time slots where the ratio of the expected positive and negative metrics is high. We call this the MaxRatio policy and we show that it is optimal under certain conditions. In cases where we are not certain about the response of users to successive related tweets, we identify another algorithm (which we call MaxReach) as a robust alternative.