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LAS VEGAS (AP) " Amazon said Wednesday that it plans to use self-piloted drones to deliver packages to shoppers' home in the coming months. The online shopping giant did not give exact timing or say where the drones will be making deliveries. Amazon said its new drones use computer vision and machine learning to detect and avoid people or clotheslines in backyards when landing. "From paragliders to power lines to a corgi in the backyard, the brain of the drone has safety covered," said Jeff Wilke, who oversees Amazon's retail business. Wilke said the drones are fully electric, can fly up to 15 miles (24 kilometers), deliver in 30 minutes and carry goods that weigh up to 5 pounds (2.3 kilograms), like a paperback or toothpaste. Amazon has been working on drone delivery for years.

Hailo, a Tel Aviv-based AI chipmaker, today announced that it is now sampling its Hailo -8 chips, the first of its deep learning processors. The new chip promises up to 26 tera operations per second (TOPS), and the company is now testing it with a number of select customers, mostly in the automotive industry. Hailo first appeared on the radar last year, when it raised a $12.5 million Series A round. At the time, the company was still waiting for the first samples of its chips. Now, the company says that the Hailo-8 will outperform all other edge processors and do so at a smaller size and with fewer memory requirements.

On March 26, at the Francis Crick Institute research centre in London, WIRED Editor Greg Williams kicked off WIRED Health 2019. The event, in its sixth edition, features talks, interviews and panel discussions with the world's most inspiring healthcare innovators, entrepreneurs, and researchers, in order to shed light on what lies ahead for the medicine and healthcare sectors. "We wanted to bring together some amazing innovators in the worlds of healthcare, pharma and technology to look at what the future looks like for health in the age of artificial intelligence, virtual reality, big data and genomics," Williams said in his opening remarks on the main stage. Over the following hours, the speakers took the floor, bringing to life an impressive collection of eye-opening stories about what it takes to make innovation happen. "Discovery research is going to create the future," said Paul Nurse, director of the Francis Crick Institute.

In 2011, when Marc Andreessen wrote "Software is eating the world", it was a pretty provocative statement. Now, most people accept it as truth. Indeed, beyond Silicon Valley, and in sectors ranging from automotive to healthcare to financial services, companies are evolving their businesses to mirror the digital age. The latest wave of innovation, however, is challenging businesses to not just consider who they are but also what they do and how they operate. I'm talking about the platform economy – an era defined by fundamental changes to existing business models.

Today, customer exchanges with Alexa are generally either one-shot requests, like "Alexa, what's the weather?", or interactions that require multiple requests to complete more complex tasks. An Alexa customer planning a family movie night out, for example, must interact independently with multiple skills to find a list of local theaters playing a particular movie, identify a restaurant near one of them, and then purchase movie tickets, book a table, and perhaps order a ride. The cognitive burden of carrying information across skills -- such as time, number of people, and location -- rests with the customer. "We envision a world where customers will converse more naturally with Alexa: seamlessly transitioning between skills, asking questions, making choices, and speaking the same way they would with a friend, family member, or co-worker," says Rohit Prasad, Alexa vice president and head scientist. "Our objective is to shift the cognitive burden from the customer to Alexa."

The rapid pace of digital business evolution means that organizations must be continuously adapting their business and operating models. Canadian organizations are pursuing business model change, but there is still more to do. Twenty-two percent of Canadian CIOs say that no business model change is anticipated. But for most organizations, some degree of change is required to accomplish their business priorities. "If you pursue the right strategy and quickly adapt to what's next, you will be ready to deal with sustained and rapid change. This builds momentum through and beyond digital transformation using the approach we call ContinuousNext," said Chris Howard.

Two researchers at Université de Sherbrooke, in Canada, have recently developed and trained neural belief-propagation (BP) decoders for quantum low-density parity-check (LDPC) codes. Their study, outlined in a paper published in Physical Review Letters, suggests that training can enhance the performance of BP decoders significantly, helping to solve issues that are commonly associated with their application in quantum research. "Ten years ago, I wrote an article with Yeojin Chung explaining how standard decoding algorithms for LDPC codes, which are broadly used in classical communication, would fail in the quantum setting," David Poulin, one of the researchers who carried out the study, told Phys.org. "This problem has been obsessing me ever since. Recently, people have started to investigate the use of neural networks to decode quantum codes, but they all focused on a problem (decoding topological codes) that already had a number of good human-designed solutions. This was the perfect occasion to revisit my favorite open problem and use neural networks to decode quantum codes that had no previously known decoder."

A team of scientists has successfully trained a new artificial intelligence (AI) algorithm to make accurate predictions regarding cognitive decline leading to Alzheimer's disease. Dr. Mallar Chakravarty, a computational neuroscientist at the Douglas Mental Health University Institute, and his colleagues from the University of Toronto and the Centre for Addiction and Mental Health, designed an algorithm that learns signatures from magnetic resonance imaging (MRI), genetics, and clinical data. This specific algorithm can help predict whether an individual's cognitive faculties are likely to deteriorate towards Alzheimer's in the next five years. "At the moment, there are limited ways to treat Alzheimer's and the best evidence we have is for prevention. Our AI methodology could have significant implications as a'doctor's assistant' that would help stream people onto the right pathway for treatment. For example, one could even initiate lifestyle changes that may delay the beginning stages of Alzheimer's or even prevent it altogether," says Chakravarty, an Assistant Professor in McGill University's Department of Psychiatry.

Presenter: Harry Rhys Davies, Applied AI Lead, Tech Nation Level: Introductory Abstract: As part of the UK Government's AI Sector Deal, Tech Nation is launching the UK's first peer-to-peer, growth programme for applied AI companies that aim to solve real-world problems. Applied AI 1.0, sponsored by the UK Government's Office for Artificial Intelligence, will kick-off this September and is inspired by Tech Nation's successful Future Fifty, Upscale and Fintech programmes. The free, non-residential, six-month programme will first and foremost function as practical network for founders that facilitates peer-to-peer learning across the C-suite (CEO, CTO, COO and more) through values of honesty, intimacy and trust, as well as providing opportunities to learn from later-stage founders, meet investors and potential clients, and join us on an international trip. Title: The Autodidact's Guide to Building an AI Application Presenter: Armaghan Ahmed Level: Introductory Abstract: An intro-level walkthrough for those interested in AI on a practical way to learn about the field by using ML in a side-project. Title: Quantum Machine Learning Presenter: Viacheslav Burenkov Level: Introductory to Intermediate Abstract: Machine learning is becoming increasingly popular in today's world, improving and creating new businesses across a broad range of industries, including healthcare, financial services, self-driving cars, and many others.