Apple Music users have finally got one of Spotify's most celebrated features – at least, sort of. They can now get a round-up of who and what they've been streaming through 2018, including their most played tracks and just how long they spent listening to them. Spotify users have long been able to get a big summary of their activity through the year – but Apple Music has never offered such a tool. But the feature comes with a whole host of caveats, needs a third-party app to work, and doesn't offer anything like the in-depth data that is available to Spotify users. Spotify Wrapped, which becomes available in early December every year, includes a whole host of information.

There was a time when Zhang Lei worked in London's financial sector. While successful, he felt that dealing in derivatives was not a meaningful way to live his life. So, he quit his job in 2006 to pursue his passion for fighting climate change. In 2007, he founded Envision to design and manufacture wind turbines. As the CEO, Zhang envisions a better future and strives for the company to exist at the forefront of current technology.

IIT Kharagpur will set up a Centre of Excellence in Artificial Intelligence shortly here, the institute's programme manager Utkarsh Prasad said Thursday. In the long run, the institute plans to set up a Research Park in subjects such as AI, cyber security, robotics and advanced manufacturing, he said, adding, it was at the discussion stage. He said IIT Kharagpur was working with the Telangana government to setup, in the short term, a Centre of excellence in artificial intelligence. The function of the Centre would be two-fold, training of professionials in AI and taking up research and industry projects from industry and government, Prasad told PTI. Telangana Principal Secretary IT and Industry Jayesh Ranjan said the government has already identified 2000 sqft in Kukatpallya for setting up the AI centre andwill soon enter into an MoU with IIT-Kharagpur.

Harvard Medical school: Researchers from Harvard med school and Beth Israel Deaconess Medical Centre have developed AI powered systems to make pathological diagnosis more accurate by using deep learning and machine learning. The algorithm makes use of speech and image recognition to interpret pathological images and trains computers to differentiate between cancerous and non cancerous lesions. Combination of this algorithm with the pathologist's work led to a 99.5 percent accuracy rate.

He is a speaker at international FinTech and InsurTech conferences and publishes articles on his innovation proposals and thought leadership. He published an AI white paper, "Machine learning in financial services: Changing the rules of the game," for the enterprise software vendor SAP. Spiros has more than 25 years of national and international experience in investment management/research and innovation and technology management. So, we decided to peek into his mind on thoughts around AI in fintech, AI innovations and AI in general. AIMAnalytics India Magazine: Why is AI so important for Fintech? SMSpiros Margaris: Artificial intelligence (AI) and machine learning increasingly play a very important role in all industries that want to compete and survive successfully in a digital world.

The financial services world is in a state of flux. Incumbent financial institutions are fumbling around in search of the next big idea that would catapult them to the front, or at least save them from collapsing on their largess of amassed inertia. We need a strategy that would get us off out fat ass and move forward. But as the saying goes "strategy is great until you engage the enemy and you change your direction". Paraphrasing Helmuth von Moltke the Elder, Chief of Staff of the Prussian army before World War 1 and architect of "The Theory of War" we must evolve beyond deterministic battle plans and instead favor resilient strategies that can adapt to situations that occur in real-time.

The burgeoning autonomous vehicle (AV) revolution seems to crank up a notch every other week, with Waymo recently unveiling its first commercial driverless car service, Volvo announcing its first commercial autonomous truck, and countless companies working on the underlying technology that will bring self-driving transport to the mainstream. But full autonomy that involves millions of cars traversing busy thoroughfares completely devoid of human oversight will likely be some time away. With that in mind, one Israeli startup is setting out to serve as a bridge to 100 percent autonomy. Founded this year, Tel Aviv-based Ottopia is pitching itself as a teleoperation platform for autonomous vehicles. The startup was cofounded by CEO Amit Rosenzweig, formerly head of product management at Microsoft's Advanced Threat Analytics, and CTO Leon Altarac, who previously set up the robotics and AV branch of the Israeli army.

Toyota Motor Corp. has sold enough cars to put one outside every Japanese home. Now it wants to put robots inside those homes. Well-known for its automated assembly lines, Toyota envisions a not-so-far-off future in which robots transcend the factory and become commonplace in homes -- helping with chores and even offering companionship, in an aging society where a quarter of the population is over 65 and millions of seniors live alone. Machines have become much smarter in the past decade or so. Yet, every attempt to build one that can do simple things like load a washing machine or carry groceries encounters the same basic, physical problem: The stronger a robot gets, the heavier and more dangerous it becomes.

The government on Thursday revoked the credentials of a body that supervises companies accepting foreign trainees in the first such move since the program was introduced last year. Creative Net, a cooperative association based in Kasai, Hyogo Prefecture, was found to have submitted false records on training at three companies it had been supervising. In a related move, the Justice Ministry also withdrew its approvals for intern training plans for a total of 11 Thai women who had been accepted by the companies. Under the government's Technical Intern Training Program, foreign trainees are required to take Japanese-language courses and receive guidance on daily life in Japan during the first two months after they arrive in the country. They are not allowed to start working during that period. But the three companies made their trainees work for about a month during the transition period, and Creative Net submitted false training records to the government-affiliated Organization for Technical Intern Training.

Millimeter Wave (MmWave) communication is one of the key technology of the fifth generation (5G) wireless systems to achieve the expected 1000x data rate. With large bandwidth at mmWave band, the link capacity between users and base stations (BS) can be much higher compared to sub-6GHz wireless systems. Meanwhile, due to the high cost of infrastructure upgrade, it would be difficult for operators to drastically enhance the capacity of backhaul links between mmWave BSs and the core network. As a result, the data rate provided by backhaul may not be sufficient to support all mmWave links, the backhaul connection becomes the new bottleneck that limits the system performance. On the other hand, as mmWave channels are subject to random blockage, the data rates of mmWave users significantly vary over time. With limited backhaul capacity and highly dynamic data rates of users, how to allocate backhaul resource to each user remains a challenge for mmWave systems. In this article, we present a deep reinforcement learning (DRL) approach to address this challenge. By learning the blockage pattern, the system dynamics can be captured and predicted, resulting in efficient utilization of backhaul resource. We begin with a discussion on DRL and its application in wireless systems. We then investigate the problem backhaul resource allocation and present the DRL based solution. Finally, we discuss open problems for future research and conclude this article.