With the latest breakthroughs in artificial intelligence a whole new concept of food may soon radically change what we eat. And at the same time, some experts believe it could reduce global warming. If we were to start from scratch, and we want to figure out the most efficient way to deliver nutrition to the 7.1 billion people on this planet, the answer wouldn't be animals. Science would tell you to do something different. No longer based on animal ingredients, this is a food entirely based on plants - although it looks and tastes like the classic food.

In 2025, in accordance with Moore's Law, we'll see an acceleration in the rate of change as we move closer to a world of true abundance. Here are eight areas where we'll see extraordinary transformation in the next decade: In 2025, 1,000 should buy you a computer able to calculate at 10 16 cycles per second (10,000 trillion cycles per second), the equivalent processing speed of the human brain. The Internet of Everything describes the networked connections between devices, people, processes and data. By 2025, the IoE will exceed 100 billion connected devices, each with a dozen or more sensors collecting data. This will lead to a trillion-sensor economy driving a data revolution beyond our imagination. Cisco's recent report estimates the IoE will generate 19 trillion of newly created value. With a trillion sensors gathering data everywhere (autonomous cars, satellite systems, drones, wearables, cameras), you'll be able to know anything you want, anytime, anywhere, and query that data for answers and insights. SpaceX, Google (Project Loon), Qualcomm and Virgin (OneWeb) are planning to provide global connectivity to every human on Earth at speeds exceeding one megabit per second. We will grow from three to eight billion connected humans, adding five billion new consumers into the global economy. They represent tens of trillions of new dollars flowing into the global economy. And they are not coming online like we did 20 years ago with a 9600 modem on AOL. Existing healthcare institutions will be crushed as new business models with better and more efficient care emerge. Thousands of startups, as well as today's data giants (Google, Apple, Microsoft, SAP, IBM, etc.) will all enter this lucrative 3.8 trillion healthcare industry with new business models that dematerialize, demonetize and democratize today's bureaucratic and inefficient system. Biometric sensing (wearables) and AI will make each of us the CEOs of our own health. Large-scale genomic sequencing and machine learning will allow us to understand the root cause of cancer, heart disease and neurodegenerative disease and what to do about it. Robotic surgeons can carry out an autonomous surgical procedure perfectly (every time) for pennies on the dollar. Each of us will be able to regrow a heart, liver, lung or kidney when we need it, instead of waiting for the donor to die. Billions of dollars invested by Facebook (Oculus), Google (Magic Leap), Microsoft (Hololens), Sony, Qualcomm, HTC and others will lead to a new generation of displays and user interfaces.

Infrared cameras that track eye movements could detect concussions in less than a minute, offering insight into whether athletes or children have sustained the injury. The device, called'Eye-Sync' has now been approved by the US Food and Drug Administration and has been developed amid growing concerns over brain injuries in contact sports. Head trauma affects the brain's anticipatory neural network and Eye-Sync focuses on analysing visual response in this network. Infrared cameras that track eye movements could detect concussions in less than a minute, offering insight into whether athletes or children have sustained the injury. The device, called'Eye-Sync' (pictured) has now been approved by the US Food and Drug Administration The device was developed by Boston-based SyncThink. A user puts on a virtual reality headset connected to a computer tablet, with a moving circle appearing in the display.

Clothes maketh the man, and this could not be more true when it comes to crushing rebel scum. As one of the most iconic baddies in Hollywood history, Darth Vader is a menacing presence but without his glossy black space suit, it is unlikely he would have instilled the same level of fear. For those in the market for the Sith Lord's garb - it now has a real-life price tag - 18.3 million ( 12.9 million) Darth Vader's suit is one of the most iconic outfits in Hollywood history, and it has a real-world price tag. Bury-based Shade Station calculated the price for the infamous Sith Lord's suit, based on current pricing of components, putting the grand total at a staggering 18.3million ( 12.7million). From the specialist breathing apparatus, to the prosthetic limbs, the meeting of space age tech sartorial style does not come cheap.

The following interview is one of many included in the report. As part of my ongoing series of interviews surveying the frontiers of machine intelligence, I recently interviewed Yoshua Bengio. Bengio is a professor with the department of computer science and operations research at the University of Montreal, where he is head of the Machine Learning Laboratory (MILA) and serves as the Canada Research Chair in statistical learning algorithms. The goal of his research is to understand the principles of learning that yield intelligence. Yoshua Bengio: I have been researching neural networks since the '80s.

The consumer drones that opened the skies to the public may one day be giving a bird's eye view to Chinese authorities. Chinese drone maker DJI -- the world's largest maker of small drones -- said it was in talks with Chinese officials who want access to the data collected by its products, Bloomberg reports. That data could include flight records, GPS information and even video. Whether this applied to Chinese customers only, or customers in Europe and the U.S., has not been made fully clear. "Should DJI receive a valid legal request from a government agency," spokesperson Oliver Wang said in a statement to media, "we may provide user information to that agency, just as other companies do. That is the case in the U.S., China or anywhere in the world."

In the US, over one million children suffer from autism. These children find it difficult to recognize emotions through facial expressions, making social interactions very challenging. While patients can gain an understanding through behavioral therapy, this can be both time-consuming and expensive. Now, Autism Glass is a wearable aid from researchers at Stanford University, that uses Google Glass, machine learning and real-time social cues to provide those on the autism spectrum with another option. To use, patients put on the wearable glasses, which incorporate an outward-facing camera.

A team of researchers at Ohio State University pinpointed the area of the brain that recognizes human facial expression. Their recent study reveals that this region - the posterior superior temporal sulcus (pSTS) - is on the right side of the brain behind the ear. The study utilized functional magnetic resonance imaging (fMRI) to identify the pSTS as the region that is activated when their test subjects viewed images of people making various kinds of facial expressions. Using the subjects' fMRI images and comparing them to facial muscle movements in test photographs, the team created a map of pSTS regions that activate for specific facial muscle groups In addition, the study revealed that particular neural patterns within the pSTS are used for specific facial movements, such as a furrowed brow. "That suggests that our brains decode facial expressions by adding up sets of key muscle movements in the face of the person we are looking at," said Aleix Martinez, a professor of electrical and computer engineering at Ohio State and senior author of the study.

In the ongoing battle against cyber attacks, a man-machine collaboration could offer a new path to security. To keep up with cyber threats, the cybersecurity industry has turned to assistance from unsupervised artificial intelligence systems that operate independently from human analysts. But the Computer Science and Artificial Intelligence Laboratory (CSAIL) at the Massachusetts Institute of Technology in Cambridge, Mass., in partnership with the machine-learning startup PatternEx, is offering a fresh approach. Their new program, AI2, draws on what humans and machines each do best: It allows human analysts to build upon the large scale pattern recognition and learning capabilities of artificial intelligence. The industry standard right now is unsupervised machine learning, CSAIL research scientist Kalyan Veeramachaneni, who helped develop the program, says in a phone interview with The Christian Science Monitor.

PROVO, Utah – Madeline MacDonald says she was an 18-year-old freshman at Brigham Young University when she was sexually assaulted by a man she met on an online dating site. She reported the crime to the school's Title IX office. That same day, she says, BYU's honor code office received a copy of the report, triggering an investigation into whether MacDonald had violated the Mormon school's strict code of behavior, which bans premarital sex and drinking, among other things. Now MacDonald is among many students and others, including a Utah prosecutor, who are questioning BYU's practice of investigating accusers, saying it could discourage women from reporting sexual violence and hinder criminal cases. Some have started an online petition drive calling on the university to give victims immunity from honor code violations committed in the lead-up to a sexual assault.