Hundreds of orange robots zoom and whiz back and forth like miniature bumper cars -- but instead of colliding, they're following a carefully plotted path to transport thousands of items ordered from online giant Amazon. A young woman fitted out in a red safety vest, with pouches full of sensors and radio transmitters on her belt and a tablet in hand, moves through their complicated choreography. This robot ballet takes place at the new Amazon order fulfillment center that opened on Staten Island in New York in September. In an 80,000 square-meter (855,000 square-foot) space filled with the whirring sounds of machinery, the Seattle-based e-commerce titan has deployed some of the most advanced instruments in the rapidly growing field of robots capable of collaborating with humans. The high-tech vest, worn at Amazon warehouses since last year, is key to the whole operation -- it allows 21-year-old Deasahni Bernard to safely enter the robot area, to pick up an object that has fallen off its automated host, for example, or check if a battery needs replacing.

Recent advances in deep learning made tasks such as Image and speech recognition possible. Most people talk about these days whilst discussing machine learning / deep learning is Tensorflow and Neural Networks. Deep Learning is nothing but a subset of Machine Learning Algorithms which is specifically good at recognizing patterns but typically requires a large number of data. This post describes a Keras based Convolution Neural Net for image classification from scratch. There are several scripts which use pre-trained models available for image classification such as Google's Inception model.

People may continue to call artificial intelligence and machine learning emerging technologies for decades, but the technology is ready to implement today. In order to avoid falling behind, businesses need to start moving on plans for AI and machine learning now. Oracle Magazine sat down with Ian Swanson, vice president of product management AI and machine learning for Oracle Cloud, to talk about enterprise AI and machine learning today: adoption challenges, ways to succeed, and how Oracle supports innovation. Oracle Magazine: AI and machine learning, in particular, have been emerging technologies for some time. What is the state of these technologies in the enterprise today?

After years of quiet percolation, the art world is suddenly waking up to the creative and market potential of AI-generated art. Earlier this year, the Grand Palais museum in Paris staged a show examining the medium, and this month, Christie's announced it will be auctioning off a work made by an artificial intelligence in October. Now, one of the largest contemporary commercial galleries in India, Nature Morte, has become the first mainstream gallery to take the nascent art form seriously. "Gradient Descent," on view through September 15 at the New Delhi gallery, is a group show including works created entirely by computers in collaboration with seven international artists: Harshit Agrawal, Memo Akten, Jake Elwes, Mario Klingemann, Anna Ridler, Nao Tokui, and Tom White. Gallery director Aparajita Jain tells artnet News that it couldn't afford to ignore the field of AI-made art because of how she believes it is going to impact the art world. And while she was initially shocked to find out how far AI has already come in the creative field, Jain wants to dispel the idea that it will replace artists in the same way it is replacing human workers in other fields.

WINTER PARK, Fla.--(BUSINESS WIRE)--Feb 20, 2019--COPC Inc., a global consulting firm that helps companies improve operations to transform the customer experience, and Execs In The Know, a global community of customer experience professionals, have announced the release of the 2018 Corporate Edition of the Customer Experience Management Benchmark (CXMB) Series. The report, The CX Journey: Understanding Corporate Strategies and Best Practices, provides customer experience management insights from the corporate perspective. A key finding is that since 2017, companies have dramatically increased their use of artificial intelligence (AI)-powered solutions for customer service. "Our new corporate report shows that companies see tremendous potential in AI-powered solutions for customer care, both in applications that are customer-facing and in those that assist call center agents with their work. However, we also know from previous research that customers want a quick and easy way out of any AI-powered solution to reach a live person. Our findings overwhelmingly show that companies are keenly aware of this necessity in any customer-facing application. And while customers still want that personal interaction, we think that AI-powered solutions will find their appropriate place in the service journey," said Kyle Kennedy, president and chief operating officer, COPC Inc.

Artificial intelligence (AI) is not just a technology seen in futuristic Hollywood films involving AI-powered robots and super-intelligent machines -- it's now an increasingly mainstream technology that is being used by companies you probably interact with on a daily basis. Facebook, for example, uses AI for image recognition, while Netflix uses AI to make content recommendations. So it's perhaps no surprise that AI can also be used for a wide range of other functions, including business development and strategic partnerships. My company creates AI solutions including predictive analytics, natural language processing and virtual sales assistants. Here are some of the benefits and downsides I've noticed in these technologies -- and how to tell whether they have a place in your organization as either a built or bought solution.

The planned Robot Science Museum in Seoul will have a humdinger of a first exhibition: its own robotic construction. It's very much a publicity stunt, though a fun one -- but who knows? Perhaps robots putting buildings together won't be so uncommon in the next few years, in which case Korea will just be an early adopter. The idea for robotic construction comes from Melike Altinisik Architects, the Turkish firm that won a competition to design the museum. Their proposal took the form of an egg-like shape covered in panels that can be lifted into place by robotic arms.

Recent developments are poised to move AI to center stage, leading to revolutions across businesses around the globe. However, challenges remain, and an uncertain future makes it difficult to predict exactly where and how AI will be most effective. Protiviti and ESI ThoughtLab recently conducted a survey of 300 senior executives across the globe to uncover just how AI is being implemented and what to expect in the coming years. According to the survey, just 16 percent of businesses report gaining significant value from AI. Over the next two years, however, this number is expected to more than triple, potentially leading to a majority of businesses relying on AI.

I usually see artificial intelligence explained in one of two ways: through the increasingly sensationalist perspective of the media or through dense scientific literature riddled with superfluous language and field-specific terms. There's a less publicized area between these extremes where I think literature needs to step up a bit. News about "breakthroughs" like that stupid robot Sophia hype up A.I. to be something akin to human consciousness while in reality, Sophia is about as sophisticated as AOL Instant Messenger's SmarterChild. Scientific literature can be even worse, causing even the most driven researcher's eyes to glaze over after a few paragraphs of gratuitous pseudo-intellectual trash. In order to accurately assess A.I., the general population needs to know what it really is.

For many expectant parents, the first opportunity to "meet" their baby comes at 20-weeks of pregnancy. The ultrasound scan performed at that time gives the parents a sense of the health of the growing fetus. The images produced in this important exam reveal the shape and structure of the head and brain, which are of particular interest because severe brain problems may become visible at this stage in the pregnancy. As the brain develops, maternal-fetal specialists keep a close eye on the cerebellum – the part of the brain that coordinates and regulates muscular activity. A healthy cerebellum can typically rule out fetal complications, such as spina bifida – a neural tube defect in which the spinal cord fails to properly develop.