Hey, I'm Adrian Rosebrock, an entrepreneur and Ph.D who has spent the last eight years studying computer vision, machine learning, and image search engines. I've launched two successful image search engines, ID My Pill, and Chic Engine. I've even consulted with the National Cancer Institute to develop image processing and machine learning algorithms to automatically analyze breast histology images for cancer risk factors. It's safe to say that I have a ton of experience in the computer vision world and know my way around a Python shell and image processing libraries. I'm here to distill all my years of experience into bite size, easy to understand chunks, while sharing the tips, tricks, and hacks I've learned along the way.

For as long as humans have been making machines, we have been fascinated with the deliciously horrifying idea of them coming alive -- and turning against us. These fears tend to conjure up a picture of dusty, apocalyptic landscapes and malicious beasts made of steel, however, another scenario is on the rise. "Machines taking over," is far more likely to manifest in the workplace than as a conscious rebellion. In fact, it is already happening. Many tasks that used to require manpower are being replaced by bots and A.I., and the list of jobs that no longer need a human is growing fast.

A baby seal robot called PARO has played a prominent role in animal therapy in hospitals and senior citizens homes in Japan and Europe since 2003. PARO has become the darling of many a patient successfully replacing live animals If demand of social robots like PARO was to increase, the robot-human interactions will expand social and cultural communication patterns. With the advances in robotics and affective computing, the relationship between robots and humans in society is changing. The combination of context-awareness, motoric skills and affective behaviour opens a wide field for robotic assistants or even robotic companions. Films like WALL-E (2008) or Her (2013) show that robots or artificial intelligence are no longer just means to an end but start to be seen as cultural entities.

The MESO-BRAIN project, awarded with € 3.3 million in funding from the European Commission as part of its Future and Emerging Technology scheme, aims at 3D printing human neural networks mimicking the brain's structure and function. These 3D networks are to feature specific biological architecture and the ability to interrogate the network's brain-like activity both electrohpysilogically and optically. The research team will us human induced pluripotent stem cells (iPSCs), that have been differentiated into neurones. The scaffolds for these cells are produced using a 3D laser printer capable of creating objects on a nanoscale. Nano-electrodes will be incorporated into the structure for downstream analysis of the network's function.

A construction firm based in Dubai has announced plans to build the world's first 3D-printed skyscraper. The company, called Cazza, has confirmed that it will be erected in the United Arab Emirates. It says it will use a new technique called "crane printing" to create the building. The giant human-like robot bears a striking resemblance to the military robots starring in the movie'Avatar' and is claimed as a world first by its creators from a South Korean robotic company Waseda University's saxophonist robot WAS-5, developed by professor Atsuo Takanishi and Kaptain Rock playing one string light saber guitar perform jam session A man looks at an exhibit entitled'Mimus' a giant industrial robot which has been reprogrammed to interact with humans during a photocall at the new Design Museum in South Kensington, London Electrification Guru Dr. Wolfgang Ziebart talks about the electric Jaguar I-PACE concept SUV before it was unveiled before the Los Angeles Auto Show in Los Angeles, California, U.S The Jaguar I-PACE Concept car is the start of a new era for Jaguar. Japan's On-Art Corp's CEO Kazuya Kanemaru poses with his company's eight metre tall dinosaur-shaped mechanical suit robot'TRX03' and other robots during a demonstration in Tokyo, Japan Japan's On-Art Corp's eight metre tall dinosaur-shaped mechanical suit robot'TRX03' performs during its unveiling in Tokyo, Japan Singulato Motors co-founder and CEO Shen Haiyin poses in his company's concept car Tigercar P0 at a workshop in Beijing, China A picture shows Singulato Motors' concept car Tigercar P0 at a workshop in Beijing, China Connected company president Shigeki Tomoyama addresses a press briefing as he elaborates on Toyota's "connected strategy" in Tokyo.

Xiaomi says its new Redmi Note 4 has become the fastest selling smartphone in India. The Chinese firm said it had moved more than one million units in just 45 days since its launch, meaning one sold every four seconds. The phone is the successor to the Redmi Note 3, which shifted more than 2.3 million units in the country following its 2016 launch, making it the best-selling smartphone in India in terms of online sales. "Redmi Note 4 has become the fastest smartphone model to sell a million units in India. Redmi Note 4 has sold more than one million units in 45 days from its first sale on 23 January, 2017," Xiaomi said.

Up to 15 percent of active Twitter accounts are really bots: autonomous agents driven by algorithms rather than actual human personalities. The 15 percent figure comes courtesy of a new analysis by computer scientists at Indiana University and the University of Southern California using a machine learning framework designed to detect bots based on nearly a thousand distinct Twitter user characteristics. The group's work is described in a paper posted this week to the arXiv preprint server. On its face, this is a classic machine learning classification problem. Take some properties of an entity--screen name length, account age, and number of retweets per hour, for example--and look at those same properties across many different versions or instances of that entity along with some other property that we want to predict (whether an account is a bot or a human, in our case).

How does Foursquare use machine learning to make the product better? We all have access to more and more data, and using machine learning means we can make better decisions for our products based not on what we think is right, but what predictive models uncover about is right. Many parts of the Foursquare business rely on elements of machine learning, and our superpower, Pilgrim, which understands how people move through the world, was created almost entirely from a machine learning perspective. In our Foursquare City Guide app, we use machine learning in tip ranking. We spent some time manually extracting signals about tips, such as: What is the sentiment in the tip?

A Microsoft Research team has created a competition using Project Malmo, a platform that uses Minecraft as a testing ground for advanced artificial intelligence research. The team is challenging PhD students to develop an AI that learns to collaborate with other randomly assigned players to achieve a high score in a mini-game within the virtual world. The field of collaborative AI research involves the development of technologies that work with, empower and augment human capabilities. The ability to collaborate is key to the development of a general AI that can mimic the nuanced and complex way humans learn and make decisions. Such an AI would represent an evolution from task-specific AI technologies that recognize speech, translate languages and caption images.

Richard Stevenson, CEO of Red Box Recorders, explores how technology is changing the landscape of customer service and how developments in AI and chatbots will change the way companies interact with their customers. Every business quickly learns the value of the conversations they have with their customers. They aren't only the lifeblood of any organisation fuelling transactions and growth, but also offer invaluable insight into what clients want and how they communicate. The looming implementation of the MiFID II directive for financial services institutions has brought the issue into an even sharper spotlight as these businesses gear up to ensure they are recording and archiving all client communications. Beyond this, the next ten years will see a greater and fundamental shift in the way businesses look at this crucial data and what customers will expect in return.