– Artificial Intelligence News #11 –
An interface system that uses augmented reality technology could help individuals. It can be possible with profound motor impairments that a humanoid robot operates to feed themselves and perform routine personal care tasks. Those tasks can be scratching an itch and applying skin lotion. The web-based interface displays a “robot’s eye view” of surroundings to help users interact with the world through the machine.
A new area in artificial intelligence involves using algorithms to automatically design machine-learning systems. Those are known as neural networks, which are more accurate and efficient than those developed by human engineers. But this so-called neural architecture search (NAS) technique is computationally expensive. A state-of-the-art NAS algorithm recently developed by Google to run on a squad of graphical processing units (GPUs) took 48,000 GPU hours to produce a single convolutional neural network, which is used for image classification and detection tasks. Google has the wherewithal to run hundreds of GPUs and other specialized hardware in parallel, but that’s out of reach for many others.
Samsung is opening up global AI centres at a rapid pace but reports suggest the Korean giant is hoping Paris can bolster the firm’s talent. Around 30 AI experts are based at Samsung’s current Paris office working on research and development projects. The Paris-based AI lab of Samsung is smaller than centres based in London, Toronto, and Montreal. While the lab itself is smaller than its counterparts elsewhere in the world, Samsung is seeking local partners to help advance its AI ambitions.
British-born artificial intelligence (AI) expert Geoffrey Hinton has won the Turing Award, sometimes referred to as “the Nobel Prize of computing”. Mr Hinton, who now lives in Canada, shares the award with Yoshua Bengio and Yann LeCun – two other proponents of deep learning, a popular form of AI. “The three of us have been the people who most believed in this approach,” he told BBC News. “It’s very nice to be recognised now that it is fashionable.” A deep neural network uses many layers of artificial neurons, loosely mimicking the structure of animal brains. Such AI is increasingly used in products that people use every day – from smart speakers to Facebook
Everyone seems to be talking about AI these days, about artificial intelligence. On the one hand there is the promise of enormous benefits to industry, society, and individuals. On the other hand there is the doomsday scenario of AI-enabled robots taking over the world. Then there’s the vast middle ground in between where reality and commonsense reside. AI will certainly bring benefits in some areas, but its impact in many other areas may be negative or even nonexistent. That’s because there’s really no such thing as artificial intelligence. What everyone is really getting excited (or nervous) about might better be described as intelligent automation, or IA.
– Artificial Intelligence Blogs & People –
AI News has been founded on this concept: from chatbots, to deep learning, organisations who can make the right moves today can have a potentially lucrative tomorrow by integrating real-time data analysis and predictions not just for their company but for their customers. We will look at the main players in this exciting emerging market, and look at the consequences for enterprise and developers alike.