A fleet of Amazon'Scout' delivery robots will roam the streets of Southern California as part of the firm's largest trial of automated'last mile' delivery. Last-mile delivery is the last stage of getting a package from a warehouse to your door, traditionally completed by a van or truck. Retailers and courier firms are racing to automate this process through the use of drones, either by land or by air. Amazon's latest roll-out follows a successful trial conducted in a small neighbourhood in Washington state earlier this year. Each Scout robot is a squat, bright blue device that gets around on six wheels.

From market research to direct mail metrics to web analytics to Big Data, the job of "marketing" has changed dramatically over time. We have arrived at a fundamental shift in marketing that is as impactful as the advent of the Internet: Artificial Intelligence and Machine Learning. This workshop introduces marketing professionals of all ranks to the theory, the language and the practical application of these disruptive technologies. This workshop will not teach you how to be a data scientist. It will teach you enough about the language and implications to speak cogently with your colleagues, and determine where to apply this innovative technology first.

According to the new market research report "Quantum Computing Market by Offering (Systems and Consulting Solutions), End-User Industry, and Geography; QCaaS Market by Application (Optimization, Machine Learning, and Material Simulation) and Geography - Global Forecast to 2024", published by MarketsandMarkets, the Quantum Computing Market is expected to grow from USD 93 million by 2019 to USD 283 million by 2024; it is estimated at a CAGR of 24.9%. Whereas, the market for QCaaS is expected to grow from USD 4 million by 2019 to USD 13 million by 2024 at a CAGR of 26.8%. The need for robust computing that has the potential to overcome complexities involved in cancer-specific drug discovery and in evaluating portfolio risk is a major factor contributing to the market growth. Quantum computing is used for material simulation in various industries, such as healthcare, automotive, entertainment, banking and finance, and defense. Companies such as D-Wave Systems Inc. (Canada), 1QB Information Technologies Inc. (Canada), and QxBranch, LLC (US) are working toward providing a platform to enhance the availability, usability, and accessibility of quantum computers in the material simulation applications.

After years of scooping up brands like Converse and Hurley, Nike is shifting its focus toward buying start-ups that help it behind the scenes. Nike announced on Tuesday it has acquired Boston-based predictive analytics company Celect, marking its latest acquisition in a string of deals to bolster its direct-to-consumer strategy. Financial terms of the deal weren't disclosed. With Celect's technology integrated into Nike's mobile apps and website, the shoemaker should be able to better predict what styles of sneakers and apparel customers want, when they want it and where they want to buy it from, Chief Operating Officer Eric Sprunk explained in an interview. "Our goal is to serve consumers more personally at scale," he said. "We have to anticipate demand.

Robert Chang, a Stanford ophthalmologist, normally stays busy prescribing drops and performing eye surgery. But a few years ago, he decided to jump on a hot new trend in his field: artificial intelligence. Doctors like Chang often rely on eye imaging to track the development of conditions like glaucoma. With enough scans, he reasoned, he might find patterns that could help him better interpret test results. That is, if he could get his hands on enough data.

This May, the global group of Google AI Impact Challenge grantees gathered in San Francisco to kick off the six-month Launchpad Accelerator program. With $25 million in funding from Google.org, credits from Google Cloud and mentorship by Google's AI experts, the teams sought to apply AI to address a wide range of problems problems, from protecting rainforests to coaching students on writing skills. Now in the second phase of the program, Tech Sprint Week, the grantees tackled their projects' greatest technical challenges with support from a team of mentors from Google. At Google for Startups' campus in London, teams continued work on their ideas and learned user experience design principles along the way. Grace Mitchell, a data scientist at grantee WattTime, opened up about her team's experience at Tech Sprint Week--and how they're using AI to build a globally accessible, open-source fossil fuel emissions monitoring platform for power plants.

Event If you're thinking about doing machine learning, one of the first choices you'll have to make is "what will I actually run on my machines?" At MCubed, brought to you by The Register and Heise, our speakers will cover key tools and frameworks, showing you how to get up and running, and if you're ready, taking you right to the edge of what's possible. So, if you're looking to nail down the basics with TensorFlow, David Tyler will get you started. If you want to experiment with TensorFlow in the browser, check out this session from Oliver Zeigermann, while Lars Gregori will take you through embedded and edge applications. Likewise, IAV's Fabian Bormann will both introduce PyTorch and show how to migrate existing projects to it, while Datanizing's Christian Winkler will examine the role of mutliple text mining techniques, including word2vec, GloVe, fastText, ELMo and BERT And we'll even consider whether some frameworks are past their prime, with IAV's Sara Bartram.

We live in a connected world and generate a vast amount of connected data. Social networks, financial transaction systems, biological networks, transportation systems, and a telecommunication nexus are all examples. The paper citation network displayed in Figure 1 is another example of connected data. The nodes represent research papers, while the edges illustrate citations between papers, with the various colour indicative of a report's subject, with seven colours coding seven topics. Representing connected data is possible using a graph data structure regularly used in Computer Science.

Faced with a growing population and tight budget, the UK's National Health Service has already started looking to AI to improve patient service and cut costs. With smartphones due to become the primary method of accessing health services, the NHS is already investing in AI-powered apps, an artificial intelligence lab, and more recently implementing technology which will allow NHS 111 enquiries to be handled by robots within two years. Yet latest research by OpenText reveals widespread uncertainty amongst the UK population when it comes to trusting their health to AI. As AI is implemented across the healthcare sector, British consumers will need to put their trust in this technology. Yet this research revealed that two fifths (41%) do not know if they would trust the medical diagnosis given by AI and a further 26% confirmed that they did not trust the technology.