Robot'Jia Jia' appears to represent a leap by engineers at the University of Science and Technology of China (USTC) towards the'Replicant' androids witnessed in the dystopian thriller Blade Runner. The AI droid, designed in the shape of a woman, has been created with the ability to interact with humans through audible and physical expression. The robot's speech is synced with its lips, and it can blink and move its eyes. Even minute details such as eyelashes have been included by the developers, making Jia Jia difficult to pick out from a crowd of humans. China's first interactive robot, "Jia Jia", unveiled at the University of Science & Technology, Hebei.

Peter Singer is Professor of Bioethics at Princeton University and Laureate Professor at the University of Melbourne. This article is published in collaboration with Project Syndicate.

Peter Singer is Professor of Bioethics at Princeton University and Laureate Professor at the University of Melbourne. This article is published in collaboration with Project Syndicate.

The field of eCommerce continues to be a hotbed for emerging technologies. On one level, online stores are competing with other online stores. But on another level, online stores have to compete with the conventional marketplace of physical stores. One of the key differentiators is artificial intelligence which is making significant inroads into addressing the inherent flaws of eCommerce. Earlier prototypes of artificial intelligence were known to be brittle and prone to wide margins of error.

The head of Britain's digital espionage agency has apologized for the organization's historic prejudice against homosexuals, saying it failed to learn from the treatment of World War II codebreaker Alan Turing. In a rare public speech, GCHQ chief Robert Hannigan told a gathering organized by the rights group Stonewall that the agency's ban on homosexuals had caused long-lasting psychological damage to many and hurt the agency because talented people were excluded from working there. "The fact that it was common practice for decades reflected the intolerance of the times and the pressures of the Cold War, but it does not make it any less wrong and we should apologize for it," Hannigan said Friday at the conference organized by Stonewall, which campaigns for lesbian, gay, bisexual and transgender equality. The speech offered a poignant tribute to Turing, the gay computer science pioneer and architect of the effort to crack Nazi Germany's Enigma cipher. Turing was convicted of indecency in 1952 and stripped of his security clearance.

Instead, what captured viewers' attention most was Alibaba Group's artificial intelligence program, which made its global debut on the program to predict the series finalists and winner. Named "Ai," the system got every one of its algorithm-induced guesses right. I Am Singer, broadcast by Hunan TV, has been one of China's top-rated shows since its debut in 2013. During the show's four-hour season finale on Friday, Alibaba's Ai analyzed various factors in real time, such as the popularity of the songs contestants performed, their pitch and energy onstage, lyrical content and audience feedback. Meanwhile, the show's in-house audience of 500, whose vote determined the real winner, deliberated separately.

"I would like to die on Mars. A hilarious quote by the popular CEO of Tesla and SpaceX, Elon Musk, who has had a better week than most with the launch of the Tesla Model 3 and the eventual launch and landing of a SpaceX rocket, after multiple failed attempts. Nikola Tesla, the man famous for inventing the modern electrical alternating current, has now had a company named after him. It should be no surprise that Tesla's mission statement is to "accelerate the advent of sustainable transport by bringing compelling mass market electric cars to market as soon as possible." As we currently live, we rely so heavily on oil that companies like Tesla are absolutely necessary to save us from the result of its inevitable exhaustion. It seems exploration is at its peak at Tesla. The company recently released the Tesla Model 3, a beautiful, fully electric car that has lowered the price even further than what was thought possible for a fully electric car. Have you noticed I'm a fan of Tesla? With this, the car has a supreme autopilot system, relying on leading machine learning algorithms using multiple sensors and even a front-facing camera. "The whole Tesla fleet operates as a network.

Welcome to the seventh part of our machine learning regression tutorial within our Machine Learning with Python tutorial series. Up to this point, you have been shown the value of linear regression and how to apply it with Scikit Learn and Python, now we're going to dive into how it is calculated. While I do not believe it is necessary to dig into all of the math that goes into every machine learning algorithm (have you dug into the source code of your other favorite modules to see how they do every little thing?), linear algebra is essential to machine learning, and it is useful to understand the true building blocks that machine learning is built upon. The objective of linear algebra is to calculate relationships of points in vector space. This is used for a variety of things, but one day, someone got the wild idea to do this with features of a dataset.

One of my "Introduction to Azure Machine Learning" talks demonstrates how to use Azure Machine Learning to make predictions. The example I use is predicting whether a passenger on the Titanic will survive, given information like their age, gender, class of ticket, ticket fare, etc. (You can download the Titanic dataset from Kaggle.) But these same principles can be used to predict if someone will make a purchase online or whether a patient will be readmitted to a hospital in the next 30 days. In Part 1, I demonstrate how to upload a dataset into Azure Machine Learning Studio, explore the data and decide how to modify it, and use data cleaning modules to implement these changes. Then, in Part 2, I train a model with a machine learning algorithm, deploy our model, and call our published model to get results.

Recent events suggest that in the next 5 to 10 years, robots will be prevalent in society, serving humans in areas that 10 years ago seemed impossible. Governed by artificial intelligence (AI) and policies we put in place, robots will be helpers in our daily routines. From shopping, driving, cooking, cleaning to looking after people and animals and replicating advanced tasks we model for them, robots will serve us in a large variety of ways. Humans' role in the workforce will change as we seek to differentiate ourselves from AI in order to show our worth. What will humans add to the equation and where will we add value – those are questions we must consider now.