release
Amazon's new robot Astro is deemed a 'disaster that's not ready for release' by its designers
The £240 ($250) Alexa-powered Echo Show 15 device boasts a 15.6-inch display that you can mount to your wall or place on your counter. Users can hang it horizontally or vertically on a wall, like a photo frame, as it displays how-to videos, recipes from the web or shows streamed from Netflix and Spotify. 'We think of it [Echo Show 15] as a kitchen TV, but much, much smarter,' said Miriam Daniel, vice president of Alexa and Echo devices. Echo Show 15 can display a live-stream from your smart doorbell, streaming services interfaces, personalized sticky notes to members of the family and much more. If you've opted to hang it from the wall and want to disable the display, users can ask Alexa to show a photo frame, and Echo Show 15 just shows photos, so it blends into the background. 'Echo Show 15 brings everything that makes your household tick into one place,' said Tom Taylor, senior vice president, Amazon Alexa.
- Leisure & Entertainment (1.00)
- Information Technology (1.00)
- Media > Television (0.72)
- Media > Music (0.56)
The 14 best video games of E3 2018
An expansive third-person action game set on foreign planets, Anthem rides the coattails of Destiny, The Division and Tom Clancy's Ghost Recon: Wildlands, and promises wide multiplayer support that will continue long after it launches . At first glance it looks a lot like Destiny, with four players in mech exosuits blasting away at space creatures with rifles, pulse cannons, grenades and missiles. In combat, Anthem recalls Titanfall, as you transition from hovering, to dodging, landing, sprinting and swimming, experimenting with the weighty arsenal of weapons. Developer BioWare is known for great stories: we've seen none of that aspect of Anthem yet, but it feels great to play. The trailer suggests a fun, colourful, 1980s-inspired take on cyberpunk, but in reality Cyberpunk 2077 is gritty, featuring a lot of nudity, violence, swearing and drugs.
An Architecture for Real-Time Distributed Scheduling
Khosrow Hadavi, Wen-Ling Hsu, Tony Chen, and Cheoung-Nam Lee Industrial managers, engineers, and technologists have many expectations from artificial intelligence and its application to knowledge-based systems. Although the past decade has witnessed a number of innovative applications of AI in manufacturing, the field is still in its infancy and holds even greater promise for the future. The AAAI Press book Artificial Intelligence Applications in Manufacturing, (from which the following article was selected) presents a number of articles that relate to the enhancement of planning and decision making capabilities in today's automated production environments. Scheduling problems can generally be described as allocating resources to tasks while satisfying a set of constraints (Baker 1974; Conway et al. 1967). More often than not, the constraint sets are large and diverse, the objectives conflict with each other, and the scheduling problems quickly become NPhard.
AI-BasedSoftwareDefectPredictors: ApplicationsandBenefits inaCaseStudy Ayse Tosun
Defect predictors are widely used in organizations to predict defects in order to save time and effort as an alternative to other techniques such as manual code reviews. The usage of a defect prediction model in a real-life setting is difficult because it requires software metrics and defect data from past projects to predict the defect-proneness of new projects. It is, on the other hand, very practical because it is easy to apply, can detect defects using less time, and reduces the testing effort. We have built a learning-based defect prediction model for a telecommunications company in the space of one year. In this study, we have briefly explained our model, presented its payoff, and described how we have implemented the model in the company.
#ftag=RSSbaffb68
Google has made no secret of its overarching ambition to organise the world's information and make it accessible to anyone. And the healthcare industry has no shortage of such information, in any number of repositories and diverse formats, from MRI images to patient notes and data gathered from wearable devices. Google's DeepMind and the NHS: A glimpse of what AI means for the future of healthcare The Google subsidiary has struck a series of deals with organisations in the UK health service -- so what's really happening? Google has long sought to diversify its revenues streams away from search and advertising, the business it was founded on and which continues to make up the bulk of its revenue nearly 20 years later. So could health be the industry that helps the company to achieve that aim?