In 2012, University of Toronto professor Geoffrey Hinton and two grad students showed off artificial neural networks, a technology that empowered machines to understand images. Google hired Hinton and his grad students six months later; Hinton now splits his time between Google and the university. Although neural networks now underlie speech transcription and many other tasks, Hinton isn’t enthused over the technology he helped launch. Instead, he’s now bullish on an “old” idea that could help reshape artificial intelligence. Continue reading Google’s Geoff Hinton Tests Capsule Networks as AI Solution

Waiting for a video to buffer may become an annoyance of the past. Researchers at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) are working on streaming algorithms that use AI to improve load rates and, thus, reduce buffering. Dubbed Pensieve, the new technology relies on machine learning to navigate the often-chaotic and ever-changing conditions of networks in real-time, based on a system of rewards (when the video loads smoothly) and penalties (when it’s interrupted). Meanwhile, Netflix is working on its own AI solution to address buffering. Continue reading MIT and Netflix Testing AI-Based Algorithms to Curb Buffering

Intel, Facebook and other tech companies are working together on a chip aimed to power artificial intelligence that will also be direct competition for Nvidia’s chips. The new Intel chip will be built to accelerate deep learning, which, among other tasks, will allow computers to recognize objects in photos and specific words in speech. The chip, dubbed the Nervana Neural Network Processor and based on Intel’s acquisition of startup Nervana Systems, is slated to be released in limited quantities in 2018. Continue reading Intel Turns to Facebook, Other Tech Companies for AI Chip

The new iPhone X offers several new features, but none of them more innovative than the neural engine that is part of Apple’s new A11 Bionic SoC processor. Artificial neural networks, which excel at processing images and speech, are behind the phone’s ability to recognize the user’s face to unlock it, transfer facial expressions onto Animoji (animated emoji), and other, as-of-yet unspecified features. As Apple moves into augmented reality and image recognition, the neural engine will likely be central to these endeavors. Continue reading Apple’s Innovative Chips Ready to Lead in AR, AI, Wearables

Amazon is developing systems based on artificial intelligence algorithms that are aimed at spotting fashion trends and, eventually, shaping them. The effort could boost Amazon’s sales in clothing, perhaps even gaining a dominant position in fashion. The e-commerce giant isn’t alone in making recommendations based on products appearing in social media, and highlighting the resulting trends; Instagram and Pinterest also pinpoint trends and react quickly to them, as does startup subscription service Stitch Fix. Continue reading Amazon Creates AI-Based Tools for Spotting Fashion Trends

At The Reel Thing, an AMIA (Association of Moving Image Archivists) conference, Hollywood technologists and filmmakers gathered to hear presentations on challenges in restoration, remastering and archiving. PurePix Images chief executive Michael Inchalik and University of Georgia mathematics professor Alexander Petukhov looked at how Algosoft is developing software to repair vertical scratches, one of the toughest challenges in digital restoration. “We’re discussing a high-level restoration workflow,” said Inchalik. Continue reading New Software Tackles Scratch Removal for Film Restoration

Microsoft has debuted Brainwave, a system that improves AI hardware performance, enabling machine learning at speeds beyond what’s available today with CPUs or GPUs. At the Hot Chips symposium in Cupertino, California, researchers showed off a Gated Recurrent Unit model running on Intel’s newly released Stratix 10 FPGA (field programmable gate array chip), at a speed of 39.5 teraflops without batching operations. Brainwave currently supports models constructed with Microsoft’s CNTK framework and Google’s TensorFlow framework. Continue reading Microsoft Intros Brainwave, Jumpstarting AI Hardware Speed

Google and MIT scientists have collaborated to explore how computational photography, which uses machine learning and specialized algorithms, can be used to retouch photos in real time. The team trained neural networks via 5,000 images created by Adobe and MIT; five different photographers retouched each image, teaching the software the various ways a photo could be improved. Elsewhere, Nvidia and UC Santa Barbara created a computational zoom for photographers that lets them change a photo’s perspective in post production. Continue reading Researchers Focus on Computational Photography Solutions

Intel just unveiled its Xeon Scalable line, a new generation of 58 processors designed for “secure, agile, multi-cloud data centers.” Priced from $200 to $10,000 each, this array of new chips should serve as a clear message to would-be competitors that Intel plans to continue its dominance in the data-center market segment, which offers better profit margins than chips for PCs. Threatening Intel’s leadership are companies creating specialized chips aimed at maximizing performance of artificial intelligence programs. Continue reading Intel Eyes the Future With New Family of Xeon Server Chips

AI visionary Andrew Ng — co-creator of the Google Brain research project, former chief scientist at Chinese web giant Baidu, and co-founder of online education platform Coursera — has launched a new AI company called deeplearning.ai. While details are scarce at this point, Ng recently promised “more announcements soon” via tweet. The company’s website simply features the tagline “Explore the frontier of AI,” followed by #deeplearniNgAI and “August 2017,” suggesting more information is coming later this summer. Continue reading Andrew Ng Leaves Baidu’s AI Group to Launch New Startup

As another example of the significant advances we have been following in artificial intelligence and deep learning, Chinese search giant Baidu has introduced Deep Voice 2, the second iteration of its compelling text-to-speech system. The company introduced Deep Voice just three months ago, with the ability to produce speech “in near real time” that was “nearly indistinguishable from an actual human voice,” according to The Verge. While the first system was limited to learning one voice at a time, “and required many hours of audio or more from which to build a sample,” the updated version “can learn the nuances of a person’s voice with just half an hour of audio, and a single system can learn to imitate hundreds of different speakers.” Continue reading Text-to-Speech System Quickly Mimics Hundreds of Accents

At Nvidia’s GPU Technology Conference, the company’s chief executive Jen-Hsun Haung introduced Project Holodeck, which aims to provide an experimental multi-user virtual environment with real-time photorealistic graphics and real-world physics. The new technology, which uses Epic’s Unreal Engine 4 and Nvidia’s GameWorks, VRWorks and DesignWorks, is targeted at design engineers and their collaborators. Nvidia’s Project Holodeck demo involved Koenigsegg Automotive, a Swedish company that makes exotic sports cars. Continue reading Nvidia’s Project Holodeck: Photoreal Graphics in Shared VR

The traditional bluescreen/greenscreen method of extracting foreground content from the background for film and video production may be on its way out. That’s due to research that Adobe is doing in collaboration with the Beckman Institute for Advanced Science and Technology, to develop a new system that relies on deep convolutional neural networks. A recent paper, “Deep Image Matting,” reports that the new method uses a dataset of 49,300 training images to teach the algorithm how to distinguish and eliminate backgrounds. Continue reading Adobe’s AI-Enabled System Could Replace Greenscreen Tech

FaceApp relies on neural networks to paste a smile on a person’s photo or change his gender or age. The iOS app doesn’t always work reliably; if the person’s face is large, has a beard or isn’t looking straight at the camera, for example, the results can be unconvincing. Switching genders can produce convincing results, but can only be accessed in “collage” mode, for a very small image. But FaceApp, similar to the Prisma app that uses artificial intelligence to make selfies look like famous paintings, proves that AI is making it easier to manipulate photographs. Continue reading FaceApp Uses Neural Networks to Alter Age, Gender in Photos

As artificial intelligence and machine learning become less expensive, their role is taking off in corporate America, and will soon extend from routine tasks to more complex, sophisticated decision-making. The neural network, for example, mimics the operations of the human brain, enabling AI to learn without extensive human intervention. Companies that are moving towards AI include AIG, which has shifted funds that would have gone to outsourced projects to AI, and aims to hire more programmers with AI skills. Continue reading Corporations Are Adopting AI, Startup Debuts AI-Based Video