Intelligent vision systems for viewing and artificial intelligence (AI) can be implemented using the low power 0.3Mpixel image sensor announced by ON Semiconductor. The ARX3A0 digital image sensor has 0.3Mpixel resolution in a 1:1 aspect ratio. It can perform like a global shutter in many conditions, with up to 360 frames per second (fps) capture rate, yet with the size, performance and response levels that relate to being a back-side illuminated (BSI) rolling shutter sensor, explains ON Semiconductor. It has a small size, square format and high frame rate, making it particularly suitable for emerging machine vision, AI and augmented reality/virtual reality (AR/VR) applications, as well as small supplemental security cameras. To meet the demands of applications that provide still or streaming images, the ARX3A0 is designed to deliver flexible, high-performance image capture with minimal power.

In a move aimed at reducing costs and "untangling the complexities" of today's global supply chain, IBM is now offering an "integrated supply chain suite" embedded with its Watson AI and IBM Blockchain technologies. The IBM Sterling Supply Chain Suite is designed "to help organizations make their supply chains smarter, more efficient and better able to make decisions to adjust to disruptions and opportunities in an era when globalization has made supplier networks more complex and vulnerable than ever." The new suite is also open to developers and includes IBM Sterling as well as the tech firm's recently acquired Red Hat OpenShift tech platform. The suite allows developers to create "tailored solutions" while also enabling "clients to bring in third-party data, so that all connected applications and networks can benefit from it, IBM noted. The technology suite will allow manufacturers, retailers and other types of businesses "to integrate critical data, business networks and supply chain processes while capitalizing on the benefits of technologies like Watson AI, IBM Blockchain and the Internet of Things," IBM said in a statement, adding that these "intelligent, self-correcting supply chains are designed to learn from experience, creating greater reliability, transparency and security while providing new competitive advantages." Bob Lord, senior vice president of cognitive applications and developer ecosystems at IBM, sees the launch as empowering companies -- across industries -- to be more globally competitive. "Supply chains are now mission-critical systems for all businesses to drive success and profitability," he explained. "Many organizations have risen to the top of their industries by building efficient and agile supply chains.

An awkward incident has occurred in what could be termed as a limitation in the developing AI technology field. In this development, after being fed with murder images from Reddit, this AI now interprets all images as murder-related. Reddit has seriously disturbed this AI, Norman, following an MIT study. Norman's main function is to generate textual descriptions of images. The feedback from Norman so far, no matter the image, is now all about murder.

Why we care: Robots are coming for your playlist! AI personalities like Yona, Mony, Gemini, Haxe, and Zoya have the ability to put out a new full-length album via Auxuman every month. On average, most human musicians release one or two studio albums in a year, while rappers can put out up to three or four mixtapes in the same period, according to Digital Trends.

Radio 3 is launching a new weekly programme dedicated to video game soundtracks. Running from Saturday 26 October, the hour-long show will be presented by composer Jessica Curry, who won a Bafta for her work with UK studio The Chinese Room and created and presented Classic FM's video game music programme, High Score. "[BBC presenter and journalist] Tom Service and his producer Brian Jackson came to interview me for Radio 3 at Chinese Room a couple of years ago, and we all really hit it off," said Curry. "Tom's an avid gamer and there was a definite feeling of excitement about the gaming scene and the music that's being composed for games. "Lots of people think that it's all battle music and aggression.

One of the report we provide is --'Artificial Intelligence market'-- recognizing market trends, identifying your rivals, evaluating opportunities, examining …

To be sure, artificial intelligence now forms the backbone of the robotics industry.

Artificial intelligence is already being used in some newsrooms to mine data, create algorithms and automatically generate content. Using this technology on a daily basis raises new questions for journalists. Some experts claim that we are living a transitional phase, and that we have to make a decision about the future use of this technology in the media world, especially in data journalism. The first edition of the ESMH Summer School – "AI and journalism" – raised many questions about the ethical implications of using AI technologies in journalism. After discovering how AI works and how it is being (and will be) deployed in the near future in the newsrooms, the 80 young journalists who participated in the summer school reflected upon impartiality, responsibilities and the potential limits of its use.

GNW The global artificial intelligence (AI) in retail market attained $720.0 million in 2018 and is predicted to witness a CAGR of 35.4% during 2019–2024 (forecast period). The factors contributing to the growth of the market include the increasing investments in AI by retail companies and expanding e-retail industry. With AI, retailers have been able to automate their work processes, study consumer behavior, and capture relevant data through the adoption of numerous advanced technologies, such as machine learning, natural language processing (NLP), and computer vision. When technology is considered, the AI in retail market is divided into computer vision, NLP, machine learning, and others (which include gesture recognition and analytics). Machine learning generated the highest revenue during the historical period (2014–2018) and is expected to dominate the market during the forecast period as well.

Learn the basics of deep learning - a machine learning technique that uses neural networks to learn and make predictions - through computer vision projects, tutorials, and real world, hands-on exploration with a physical device. AWS DeepLens lets you run deep learning models locally on the camera to analyze and take action on what it sees.