Shanghai: By 2025, the global Artificial Intelligence (AI) market is expected to reach $380 billion, 90 per cent of which will come from the enterprise market, a Huawei official said here. "Naturally, we believe that industry applications will be key to the success of AI over the next decade," William Xu, Director of the Board and Chief Strategy Marketing Officer, said in his keynote address on the second day of the Huawei Connect 2018. He said that Huawei plans to support one million AI developers and partners over three years. "Helping industries go digital is not something that any company can do on its own. To effectively go digital, industries and industry organizations need to work together," he said.

Chinese technology giant Huawei is taking its AI strategy up a gear in a bid to seize the throne from Silicon Valley incumbents. During HUAWEI CONNECT 2018 in Shanghai, the company announced how it will take on the likes of Nvidia and Qualcomm. The first part of that strategy is new hardware. Huawei unveiled new chipsets it's calling the Ascend 910 and Ascend 310. These chips are both designed for AI but target different use cases.

Huawei has unveiled an AI strategy and a portfolio of supporting products built on two new microchips, which the telecoms giant claims is the world's first AI IP and chip series designed for a full range of deployment scenarios. The Ascend 310 is designed for the low-power computing needs of smart devices and the Ascend 910 for cloud computing. Huawei's rotating chairman Eric Xu said the Ascend 910 has "greatest computing density in a single chip," but denied that it was designed to provide direct competition for the likes of Qualcomm and Nvidia. "As Huawei does not sell chips directly to third party companies, if you're talking about pure chip-vendors, there is never competition between Huawei and them," Xu explained at the Huawei Connect conference in the Shanghai World Expo Exhibition and Convention Center. "We provide hardware and cloud services so if it's a hardware company or a cloud service company, there is competition here."

Huawei's Ascend line of semiconductors includes a chip that is installed on servers and performs complex AI tasks like programming algorithms, as well as a second chip for more routine functions on smartphones and other devices. With the AI chips, Huawei, the world's biggest maker of telecommunications equipment and a major smartphone vendor, is challenging American companies like Nvidia Corp., Intel Inc. and Qualcomm Inc. The new components align with broader efforts by China to reduce its dependence on advanced U.S. technologies and develop such products domestically. Under Beijing's Made in China 2025 development plan, semiconductors and AI have emerged as key areas that authorities want to develop at home. "Computing power is the foundation of AI," said Eric Xu, Huawei's chairman, at a conference in Shanghai on Wednesday.

China's largest telecom equipment maker and smartphone vendor Huawei Technologies Co Ltd unveiled a range of artificial intelligence chips on Wednesday, in what is arguably its biggest-ever push to expand its presence in the semiconductor sector and to compete with US companies such as Nvidia Corp. The move is also part of Huawei's broader effort in AI. The company is working to offer a full-stack technological portfolio to support all AI application scenarios. Huawei said one of the new processors, known as the Ascend 910, boasts the greatest computing density in a single chip in the world, whose performance can beat its rival product Nvidia V100. Ascend 910 is scheduled to hit the market in the second quarter of 2019.

They offer automated customer support, provide advice and information to your staff, explain processes to new users and more. At the same time, online interactions are being transformed through technologies like augmented reality and virtual reality and by the explosion in the use of mobile devices. But how can these trends be combined to create the kind of highly personalized user experience your clients and coworkers are looking for? This year, avatars are making a big comeback. The major players are using them!

Softbank Robotics today announced that its robot Pepper will now use emotion recognition AI from Affectiva to interpret and respond to human activity. Pepper is about four feet tall, gets around on wheels, and has a tablet in the center of its chest. The humanoid robot made its debut in 2015 and was designed to interact with people. Cameras and microphones are used to help Pepper recognize human emotions, like hostility or joy, and respond appropriately with a smile or indications of sadness. This type of intelligence likely comes in handy for the environments where Pepper operates, like banks, hotels, and Pizza Huts in some parts of Asia.

User intended actions are widely seen in many areas. Forecasting these actions and taking proactive measures to optimize business outcome is a crucial step towards sustaining the steady business growth. In this work, we focus on pre- dicting attrition, which is one of typical user intended actions. Conventional attrition predictive modeling strategies suffer a few inherent drawbacks. To overcome these limitations, we propose a novel end-to-end learning scheme to keep track of the evolution of attrition patterns for the predictive modeling. It integrates user activity logs, dynamic and static user profiles based on multi-path learning. It exploits historical user records by establishing a decaying multi-snapshot technique. And finally it employs the precedent user intentions via guiding them to the subsequent learning procedure. As a result, it addresses all disadvantages of conventional methods. We evaluate our methodology on two public data repositories and one private user usage dataset provided by Adobe Creative Cloud. The extensive experiments demonstrate that it can offer the appealing performance in comparison with several existing approaches as rated by different popular metrics. Furthermore, we introduce an advanced interpretation and visualization strategy to effectively characterize the periodicity of user activity logs. It can help to pinpoint important factors that are critical to user attrition and retention and thus suggests actionable improvement targets for business practice. Our work will provide useful insights into the prediction and elucidation of other user intended actions as well.

Google is giving phone users the option to spam their spammers. The new Pixel 3 smartphone, which the company unveiled on Tuesday, features a virtual assistant that can help screen out robocalls by responding to the automated calls with its own automated messages. With the tap of a button, users will be able to send suspicious incoming calls to the assistant, which will tell the caller, "Hi, the person you're calling is using a screening service from Google, and will get a copy of this conversation. Go ahead and say your name, and why you're calling." Based on this response, the user can either accept the call, send a preset text, or report it as spam.