We've, to an extent, come to a point where the only way businesses can differentiate themselves from their competition is through the customer experience they provide. The more sooner companies realize this, the more innovations we can see in this direction as businesses look for new and exciting ways to cater to their customers. Investing in technology for this purpose, is therefore, the most basic need in order to innovate and improvise on existing customer interaction channels/platforms. That being said, prior knowledge of the latest tech trends is a absolute necessity if your company wants to go down this path. Here we list the top 3 technology trends altering the course of how customers could possibly interact/engage with companies. While we are a long way from creating a sentient android, artificial intelligence has progressed significantly, if we take into account virtual reality and driverless cars.

A car accident is one of the most frightening experiences a driver can have. But, how would you feel about an artificial intelligence (AI) system taking over to keep you safe? That's just what Japanese automaker Toyota is planning. Gill Pratt, CEO of the Toyota Research Institute (TRI), said that the manufacturer is working on driver assistance systems with built-in AI to improve safety, as originally reported by Reuters. Pratt said that the new system will "improve car safety by enabling vehicles to anticipate and avoid potential accident situations."

Physical wellbeing has been the focus of most wearables to date. At the same time some startups are appearing which try to track mental states. But these are usually head bands which make you like an updated 21st Century Hippie. The new ZENTA wrist-wearable takes a different approach. Created by VINAYA, a London-based technology design house, the Zenta goes down this mental wellness path.

When introducing its monster 72-core Xeon Phi chip, Intel couldn't help but take a swipe at graphics processors for being sluggish for some tasks. Ironically, Xeon Phi is a byproduct of Larrabee, which was supposed to be Intel's first major GPU but was abandoned in 2009 after multiple delays. The swipe was a shot at Nvidia, whose GPUs are flourishing in the gaming and machine learning areas. But Nvidia's success has also raised questions about whether Intel should've been patient and pursued Larrabee. Nevertheless, Xeon Phi has been successfully used in supercomputing, and now Intel wants to challenge Nvidia's GPU by bringing the chip to machine learning.

Nasa has announced that it has found evidence of flowing water on Mars. Scientists have long speculated that Recurring Slope Lineae -- or dark patches -- on Mars were made up of briny water but the new findings prove that those patches are caused by liquid water, which it has established by finding hydrated salts. Several hundred camped outside the London store in Covent Garden. The 6s will have new features like a vastly improved camera and a pressure-sensitive "3D Touch" display

Social giant Twitter has expanded its capabilities in machine learning, a branch of artificial intelligence that seeks to teach computers how to learn, with the acquisition of London-based startup Magic Pony Technology. The US-headquartered firm has today (June 20) announced a multi-million dollar deal that sees Magic Pony become the latest tech firm to join the ever-increasing Twitter fold. According to TechCrunch, Twitter is paying 150m (around 102m) in total. Writing in a blog post, the social network's CEO and co-founder, Jack Dorsey, said the transaction builds on other investments made by Twitter in recent years, including its acquisition of image search startup Madbits in 2014 and Whetlab, another machine learning company, last year. He wrote: "Magic Pony's technology – based on research by the team to create algorithms that can understand the features of imagery – will be used to enhance our strength in live and video and opens up a whole lot of exciting creative possibilities for Twitter. "The team includes 11 PhDs with expertise across computer vision, machine learning, high-performance computing, and computational neuroscience, who are alumni of some of the top labs in the world." Mr Dorsey continued: "We are continuing to build strength into our deep learning teams with world-class talent to help Twitter be the best place to see what's happening and why it matters, first.

This free evening talk will explore the fields of Deep Learning and Computer Vision, using lie detection from video as an example. Nick studied Computer science at Imperial College before moving to the industry to work as a Data Scientist. He is active in the London startup scene and is interested in the role technology plays in our emotional wellbeing. He is an advocate of designing for happiness. If you are interested in progressing further with Machine Learning and Data Learning, learn more at the Data Science Bootcamp in Python.

Success at Red Ventures is built entirely on our innovative, in-house technology development and the data storage & management capabilities our Fortune 500 partners have come to expect. We're backed by the same people who invested in GoDaddy, Dell, Uber and other tech giants, and we're building prototypes covering everything from online behavioral tracking software to artificial intelligence applications. On a day-to-day basis, our team processes 200 database instances and 5 Petabytes of data in support of our worldwide operations. Oh yeah – And we're expected to grow more than 30% by the end of 2016, which means our team is growing. AJ joined Red Ventures in 2005 as a web developer before catapulting to his current position in senior leadership.

A research team from Beth Israel Deaconess Medical Center (BIDMC) and Harvard Medical School (HMS) recently developed artificial intelligence (AI) methods aimed at training computers to interpret pathology images, with the long-term goal of building AI-powered systems to make pathologic diagnoses more accurate. "Our AI method is based on deep learning, a machine-learning algorithm used for a range of applications including speech recognition and image recognition," explained pathologist Andrew Beck, MD, PhD, Director of Bioinformatics at the Cancer Research Institute at Beth Israel Deaconess Medical Center (BIDMC) and an Associate Professor at Harvard Medical School. "This approach teaches machines to interpret the complex patterns and structure observed in real-life data by building multi-layer artificial neural networks, in a process which is thought to show similarities with the learning process that occurs in layers of neurons in the brain's neocortex, the region where thinking occurs." The Beck lab's approach was recently put to the test in a competition held at the annual meeting of the International Symposium of Biomedical Imaging (ISBI), which involved examining images of lymph nodes to decide whether or not they contained breast cancer. The research team of Beck and his lab's post-doctoral fellows Dayong Wang, PhD and Humayun Irshad, PhD, and student Rishab Gargya, together with Aditya Khosla of the MIT Computer Science and Artificial Intelligence Laboratory, placed first in two separate categories, competing against private companies and academic research institutions from around the world. The research team today posted a technical report describing their approach to the arXiv.org

Twitter has bought London-based AI startup Magic Pony Technology for a reported 150m ( 102m) as the company moves to strengthen its position in image-sharing, video and live video. Founded in 2014, Magic Pony uses machine learning to build improved systems for visual processing. The company said it was excited to be joining forces with Twitter "to improve the visual experiences that are delivered across their apps". Twitter's chief executive, Jack Dorsey, said Magic Pony's technology would be used to enhance live and video offerings and "opens up a whole lot of exciting creative possibilities for Twitter". Dorsey said the team included "11 PhDs with expertise across computer vision, machine learning, high-performance computing and computational neuroscience".