Engadget: An AI taught me to be a better tweeter

Engadget: An AI taught me to be a better tweeter. “Twitter is an extension of my subconscious, a pressure valve that lets half-baked thoughts escape my mind. In the last seven years, I’ve tweeted 73,811 times, and yet none of those 140-character messages has made me internet-famous. For all my efforts, I’ve accrued just 5,635 followers, most of whom are in tech and were probably made to follow me by their boss. It seems that no matter how much I try, I’m never going to become a celebrity tweeter.”

Phys.org: Development of image-analysis technology with AI for real-time identity detection and tracking

Phys.org: Development of image-analysis technology with AI for real-time identity detection and tracking. “Hitachi, Ltd. today announced the development of a detection and tracking technology using artificial intelligence (AI) which can distinguish an individual in real-time using features from over 100 categories of external characteristics such as sex, color of clothing or carried items, and immediately detect and track the person sought after individual.” What could POSSIBLY go wrong?

MIT Technology Review: Machine Learning Opens Up New Ways to Help Disabled People

MIT Technology Review: Machine Learning Opens Up New Ways to Help Disabled People. “FCC rules require TV stations to provide closed captions that convey speech, sound effects, and audience reactions such as laughter to deaf and hard of hearing viewers. YouTube isn’t subject to those rules, but thanks to Google’s machine-learning technology, it now offers similar assistance.”

Distill: Supporting Clarity in Machine Learning (Google Research Blog)

From the Google Research Blog: Distill: Supporting Clarity in Machine Learning. “Science isn’t just about discovering new results. It’s also about human understanding. Scientists need to develop notations, analogies, visualizations, and explanations of ideas. This human dimension of science isn’t a minor side project. It’s deeply tied to the heart of science. That’s why, in collaboration with OpenAI, DeepMind, YC Research, and others, we’re excited to announce the launch of Distill, a new open science journal and ecosystem supporting human understanding of machine learning.”

Quartz: Researchers are using Darwin’s theories to evolve AI, so only the strongest algorithms survive

Quartz: Researchers are using Darwin’s theories to evolve AI, so only the strongest algorithms survive. “For the better part of three decades, most of AI’s brain-inspired development has surrounded “neural networks,” a term borrowed from neurobiology that describes machine thought as the movement of data through interconnected mathematical functions called neurons. But nature has other good ideas, too: Computer scientists are now revisiting an older field of study that suggests putting AI through evolutionary processes, like those that molded the human brain over millennia, could help us develop smarter, more efficient algorithms.”