Imagine if your teaching assistant was actually a robot--and looked like Alicia Vikander. A picture of the "Ex Machina" lead actress graces a Wall Street Journal article that explores students' surprise when they discovered one of their teaching assistants was, in fact, a bot. Her responses--which fooled even former IBM employees--were based on looking through nearly 40,000 questions and answers on a discussion forum. Ashok Goel, the professor who teaches the online Georgia Tech computer science course, believes that bots like Jill can answer 40 percent of all students' questions--many of the mundane variety--within a year. Best quote of the story goes to a student: "We're taking an artificial intelligence class. There should be some artificial intelligence here."

Movidius has announced the Fathom Neural Compute Stick, which is claimed to be the first acceleration module for deep learning in the world, alongside the Fathom deep learning software framework. The Fathom Neural Compute Stick utilizes Movidius' ultra-low power, high performance processor, the Myriad 2, allowing the device to operate neutral networks using power below 1 watt. The device not only looks like a USB stick, but it also functions as one, connecting to a USB port across a wide range of devices. In combination with the Fathom deep learning software framework, the Fathom Neural Compute Stick will allow neural networks to be taken down from the cloud and then deployed directly into end-user devices. Embedded in the Fathom Neural Compute Stick is Google's machine learning software named TensorFlow, which is primarily used for vision processing.

We are programmed (forgive the pun) to view anything technological as a vehicle for solving logical and practical problems, but the current debate is centred around how far it could (or should) develop to facilitate the future of our planet and how its acquired creativity might impact us. When we consider the future of AI and its effect on our industries, it is often the more technical and predictable jobs which will be affected first – hotel receptionists, truck drivers, manufacturing workers. We don't see A.I. writing the next hit record, penning a blockbuster children's novel or creating the next film franchise.

Michael Schmidt is the founder and CTO of Nutonian. But despite all the talk around AI, no one seems to really understand what it is or how companies can use it. Is AI the computer that competed on Jeopardy? Will machines really take our jobs? As data volumes surge and analytic engines become more mature, has technology finally caught up with the hype?

The nature of artistic style is something of a mystery to most people. Think of Vincent Van Gogh's Starry Night, Picasso's work on cubism, or Edvard Munch's The Scream. All have a powerful, unique style that humans recognize easily. Deep neural networks are revolutionizing the way machines recognize and interpret the world. Machine vision now routinely outperforms humans at tasks such as object and face recognition, something that was unimaginable just a few years ago.

Artificial intelligence is deemed as a key to unlock the exponential growth of the beauty industry. A trade worth an estimated 20 billion, the beauty industry continually grows at a rate of around 3 percent annually. Unfortunately, the industry merely survives in the digital age where some industries are booming. Hence, artificial intelligence is deemed as a key to unlock the exponential growth of this industry. An old adage says, "Beauty is not flawless; it shines even through your flaws," while Marilyn Monroe believes, "Imperfection is beauty."

Photoshop is to use artificial intelligence to help users identify typefaces they have seen elsewhere. Developer Adobe describes its DeepFont feature as "Shazam for fonts" - a reference to the song-recognising app. It will work on both the mobile and desktop versions of the image-editing software, but users will need a Creative Cloud subscription. One expert said the tool would probably be popular with professionals, who often struggle to identify a design. Other font-matching online services already exist, but Adobe suggested the machine learning technology behind its system gave it an edge.

If you tell Siri to set an alarm for 5 am, she'll set an alarm for 5 am. But if you start asking her which prescription pain killer is least likely to upset your stomach, she's not really gonna know what to do--just because that's a pretty complicated sentence. Siri is a long way from what computer scientists call "natural language understanding." She can't truly understand the natural way we humans talk--despite the way Apple portrays her in all those TV ads. In fact, we shouldn't really be talking about her as a "her" at all.

A file photo dated 06 January 2004 shows Apple Computer's CEO Steve Jobs sitting in front of a project Apple Computer logo during his keynote speech at the MacWorld Expo in San Francisco, California, USA. Apple's (AAPL) epic fall on the markets took a symbolic turn Thursday after its market value again dropped below its top rival's. That makes it second fiddle behind Google parent Alphabet (GOOGL) at 497.8 billion. Shares of Apple have been in freefall this year, dropping more than 14%, amid the company's disappointing first-quarter results. It's the second time this year that Alphabet's market value has surpassed Apple's.

The "Hybrid Hydrostatic Transmission" system uses both fluid- and air-filled lines to control the movements of a telepresence robot. By combining the stiffness of fluid lines with the springiness and responsiveness of air-filled lines, the robot is able to move in a lifelike manner while providing constant, high-quality haptic feedback. "We have developed new rotary actuators using rolling-diaphragm cylinders which provide high torque density," the Disney Research team wrote, "and allow the creation of a new high-performance 10-DOF humanoid robot." While these new actuators are a bit bigger and heavier than conventional valve-based hydraulic systems, they do offer very low impedance. This means that the even bigger and heavier motor doesn't need to be mounted on the limb it's powering, which in turn reduces the amount of power needed to move it.