Whether your content team is a one-man-band comprising of you, or if you have a massive squad with various dedicated content writers, the task at hand is ultimately still the same. Despite everything, you still have to research the keywords, come up with relevant topic ideas, compose the content, proof-read the content, schedule, upload, share, and regularly review the content, and you get the idea, isn't that so? Now, imagine a world where you could depend on a super-smart machine to finish the vast majority of those activities for you. If you think anything can be automated with AI, then you probably will not be amazed to know how many notable media organizations including The New York Times, Associated Press, Washington Post, Reuters, and Yahoo! Sports already use AI to create content.

India is witnessing an immense advancement in the number of investigation startups in recent times, especially in DI (Data Intelligence), AI (Artificial Intelligence), and ML (Machine Learning). Over the past year, we have covered various startups that are working in different zones of Data Analyzing and security-related software. A Bengaluru Based Startup company CreditWatch, which develops machine learning (ML) and artificial intelligence (AI) tools to help the financial services industry decrease credit risk, has created history by raising $3.2 million in Series A funding run by ARTIS Labs. The company's representatives officially announced this news yesterday in a press meet held in Bengaluru, and the company is now targeting $5 million. It has raised a tremendous amount in association with San Francisco-based Abstract Ventures.

While artificial intelligence has proved effective at many tasks critical to government -- such as protecting power grids against hacking -- some agencies have been reluctant to employ AI tools because their inner workings are unintelligible to humans. How can a solution be trusted if nobody knows how it works? With advanced technologies like artificial intelligence and machine learning, manipulated digital media will be easier to create and more difficult to detect. David Bau, a Ph.D. student at the Massachusetts Institute of Technology, thinks generative adversarial networks may help show how AI algorithms reach their conclusions. Bau and others are testing GANs not only as tools for performing tasks, such as pattern recognition, but for examining how neural networks made decisions.

"If intelligence was a cake, unsupervised learning would be the cake, supervised learning would be the icing on the cake, and reinforcement learning would be the cherry on the cake." Reinforcement learning is an intriguing and complex field. We at Analytics Vidhya are strongly behind the incredible potential of this domain and the breakthroughs and research by behemoths like DeepMind support our thought process. Reinforcement learning (RL) has been around for a while now. However, there is a general perception in the community that RL's use cases are limited to computer simulations.

The global cognitive technologies market is expected to reach USD 49.36 billion by 2025. Here's what its broad division looks like: The technology is nowhere near its maturity and new avenues are sprouting up every day. The number of NLP users has already grown up to 62% from 53% last year. The machine learning adoption rate was 63% last year. Computer vision is growing at the CAGR of 31.65% and CAGR of robotics is 20.2%.

It's almost 10 years since the release of the last single-player Star Wars game, Force Unleashed II, which feels a long time ago and a galaxy far, far away from EA's controversial Battlefront series. While those games offered some exhilarating moments of first-person blasting action, Star Wars fans have been longing for another epic adventure, something with the role-playing complexity of Knights of the Old Republic or the Force powers of Unleashed. Star Wars Jedi: Fallen Order promises to meet at least some of these criteria. Developed by Respawn Entertainment – the team behind sci-fi shooter series Titanfall and battle royale hit Apex Legends – Fallen Order introduces Cal Kestis, a Jedi padawan and one of the last of his kind. The game follows on from Revenge of the Sith, with the Jedi Order in ruin after being destroyed from within by Darth Vader.

The University of Helsinki is an international scientific community of 40,000 students and researchers. It is one of the leading multidisciplinary research universities in Europe and ranks among the top 100 international universities in the world. We are an equal opportunity employer and offer an attractive and diverse workplace in an inspiring environment with a variety of development opportunities and benefits. As a part of the Faculty of Science, the Department of Computer Science (https://www.helsinki.fi/en/computer-science) is a leading unit in Finland in its area and responsible for the teaching and research in computer science at the University of Helsinki. The number of professors at the Department has grown in recent years and there are now 29 professorships.

Abu Dhabi made the announcement as part of a national strategy set up in 2017 that makes Artificial Intelligence the centrepiece of the UAE's focus on …

The International Research Institute of Disaster Science at Tohoku University, Earthquake Research Institute at the University of Tokyo, the City of Kawasaki, and Fujitsu Limited have today announced that they will conduct a field trial of AI technology for supporting tsunami evacuations in Kawasaki City on Sunday, November 17th. The four parties have been promoting their Joint Project Aiming for Tsunami Disaster Risk Reduction Using ICT in the Kawasaki Coastal Area since November 2017. The upcoming demonstration will be conducted as a continuation of this project, which most recently included a tsunami evacuation drill conducted with residents of Kawasaki in December 2018. In the Great East Japan Earthquake on March 11, 2011, overconfidence in existing safety protocols and disaster countermeasures, in combination with insufficient communication of disaster information, partly contributed to substantial delays in evacuation. In some cases, this tragically meant that some residents did not realize that a tsunami would strike their location until it was too late, leaving them unprepared to evacuate.

Recent data points to substantial adoption and annual growth as companies leverage the increasingly intelligent, computerized conversationalists to connect with customers and enhance their experience. Consumers also report an uptick in their willingness to engage with chatbots; survey results from Salesforce show that 58 percent of customers believe emerging technologies have already "changed their expectations of companies" and 77 percent expect chatbots to transform expectations over the next five years. Historically resistant to automate people- and precision-driven processes, financial institutions are now catching up to the market at large, using bots to answer client and staff questions -- and are enjoying tangible benefits. According to Vijay Sankaran, CIO of TD Ameritrade, chatbot technology represents "a key part of our strategy, and we'll continue to invest in it." With organizations now banking on bots to bridge the gap between customer expectations and experience, what's the best way to make the most of this emerging interactive experience?