Spot the robot.
Yesterday, the NYPD used a Boston Dynamics robot — Spot — to investigate a home invasion in the Bronx. A spokesperson for the NYPD said the robot is in a test phase.
To feed 10 billion by 2050, the world’s farmers will need to increase food production by up to 70%. Bring in the robots.
Another robot that cleans trash from bodies of water.
Self-charging, self-navigating and solar-powered! ClearBot was created by Hong Kong engineers as a cheap and effective tool for cleaning up ocean plastic. It det… See More.
OEC promoting STEM education in Nigeria.
Natural language processing is on the cusp of changing our relationship with machines forever.
Monitoring your vital signs is becoming easier and easier these days, critical if you want to keep track of your general health and well being, and incredibly useful if you want to see how a life style, or dietary, change is playing out. In this video I look at two new companies that are utilising mobile phones to measure a whole raft of biometric data, simply and easily, and clinically tested to deliver medical-grade accuracy. And these are just first generation versions, who knows where this will take us, and what we will be able to monitor quickly and easily in the next few years.
Medical Diagnosis Software With Just A Smart PhoneIn the near future, your phone or a wearable of some description, will constantly be able to monitor all your health signs continuously ready to alert you to any worrying signs, and what they can do today is just the beginning of where we are heading.
Continue reading “Medical Diagnosis Software With Just A Smart Phone — The Future Is Arriving” »
Bronstein’s paper highlighted how research in many scientific fields such as computational social science, sensors network, physics, and healthcare calls for exploring non-Euclidean data.
Privacy remains an issue, because artificial intelligence requires data to learn patterns and make decisions. But researchers are developing methods to use our data without actually seeing it — so-called federated learning, for example — or encrypt it in ways that currently can’t be hacked.
Many of us already live with artificial intelligence now, but researchers say interactions with the technology will become increasingly personalized.
