SPE
Google Calendar's newest feature uses machine learning to help you actually accomplish your goals
Google Calendar has launched a feature called Goals that uses machine learning to help you figure out when you have time to pencil in stuff like spending time with your family or exercise. The feature is now available for Calendar's Android and iOS apps. Goals are set up by clicking into a category (which currently include Exercise, "Build a Skill," and "Me Time," though they can also be customized) and selecting a specific activity. Then Calendar will automatically find open slots, fill them in with your goal, and send reminders. If you schedule something else during those times, Google Calendar will find another window for your goal--but, in a tool that will surely be chronically abused by procrastinators, they can also be deferred.
Using EEG & Azure Machine Learning To Build A Lie Detector
Using an EPOC headset from Emotiv, I have captured 14 channels of EEG (brain waves) while subjects lied and answered truthfully to a series of questions. I fed this labelled dataset into Azure Machine Learning to build a classifier which predicts whether a subject is telling the truth or lying. In this session, I will share my results on this "lie detector" experiment. I will show my machine learning model, data cleaning process, and results, along with discussing the limitations of my approach and next steps/resources. Attendees will gain exposure to the Emotiv EPOC headset and Azure Machine Learning.
The Day You Become a Cyborg -- The Startup
Many would jokingly describe their smartphone as a fifth limb, but developments in wearable technology are hinting that one day our devices will actually be part of us. In some cases, they already are. Cyborgs are organisms with enhanced abilities thanks to the integration of an artificial component or technology, and many of us already fall under this category. We tend to associate the word cyborg with science fiction representations of super humans like Robocop or Roy Batty from the film Blade Runner, but our present day cyborgs tend to be those with health complications. Those suffering from irregular heartbeats rely on cardiac pacemakers and implantable defibrillators to maintain consistent heart function. Most of know at least one person with more common augmentations, like hearing aids or contact lenses -- two of our most popular biological enhancements.
Securities houses turn to AI for high-frequency trading- Nikkei Asian Review
In the age of ultra-high-frequency trading, financial institutions are turning to artificial intelligence to improve their stock trading performance and boost profit. One such company is Japan's leading brokerage house Nomura Securities. The company has been pursuing one goal: to simulate the insights of experienced stock traders with the help of computers. After years of research, Nomura is set to introduce a new stock trading system for institutional investors in May. The new system stores vast amounts of price and trading data in its computer.
Blade Runner tech no longer fiction as China reveals highly realistic humanoid (VIDEO)
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.
4 ways artificial intelligence is changing eCommerce
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.
UK Spy Agency Chief Apologizes for Old Prejudice About Gays
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.
Alibaba's AI Successfully Predicts Winners of Chinese Reality Show
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.