Amazon has reportedly made a bid to buy Electronic Arts (EA), the US video game company behind the hugely successful FIFA series. According to Stockholm-based gaming content agency GLHF, Amazon will confirm its bid to take over the gaming firm on Friday. Rumours have circulated since the spring that EA had been looking to be acquired by a large company, including Disney, Apple or Amazon. The rumoured takeover was first reported by USA Today, which said'Amazon has finally made an offer', citing GLHF as its source. Such a purchase could broaden Amazon's push into sports, following its purchase of live streaming rights of NFL and the Premier League on its Prime platform.

Machine learning (ML) has become an important component of many applications we use today. And adding machine learning capabilities to applications is becoming increasingly easy. Many ML libraries and online services don't even require a thorough knowledge of machine learning. However, even easy-to-use machine learning systems come with their own challenges. Among them is the threat of adversarial attacks, which has become one of the important concerns of ML applications.

As we move further into the digital age, technologies need to evolve quickly enough to support the constantly changing needs of the modern enterprise. While cloud computing has surged in popularity in recent years, most organizations must simultaneously continue to rely on their legacy systems for many of their core functions. Despite the cloud's ability to minimize IT infrastructure costs and adjust resources to meet fluctuating and unpredictable demand while getting applications up and running faster, 71 percent of the Fortune 500 and more than 90 percent of the world's largest 100 banks, 10 largest insurance companies and 25 largest retailers in the U.S. all continue to depend on outdated systems to power their mission-critical applications. This reliance is not without risk though. Companies across industries say their legacy applications struggle to evolve fast enough to support the shifting, evolving demands of the organization.

AI has gained a lot of prominence and identity in ensuring proper data security. This theory enables machines to perform human-like tasks, which in turn forms a critical infrastructure in aiding data security. Artificial Intelligence based cybersecurity products have been proven to accelerate incident detection, incident response, identify risk factors, and create a situational awareness. Artificial Intelligence-based devices are sure to take over the next level of cybersecurity process very soon as they add more efficiency and value to the entire process. Over the years, developers have used several coding languages to develop AI-based applications.

The world is changing at warp speed. What seemed like science fiction just a few years ago is now almost mainstream. Our thermostats know when to turn the heat up or down, depending on our routine behavior and the weather outside. Some cars have the intelligence to drive themselves. And from selling coffee in Japan to patrolling shopping malls in Silicon Valley, robots are taking the place of humans.