David Eagleman’s Laboratory for Perception is located on the ground floor of Baylor College of Medicine but the vibe is now a more creative think tank than the clinical academic enclave. The walls are enameled in dry erase paint and are marked up with unplanned sketched, words like synaesthesia, arrows. Where coffee mugs are covered with to-do lists. So, there isn’t a single white coat on the display. Read the Post Entering the future brain: Inside David Eagleman’s Neuro Lab
Ray Kurzweil says that “I tried to bring back my father.”
He states that he is standing in his anemic light of some storage boxes and his frame dwarfed by the cardboard boxes and the oblong plastic bins. He uses to wear shaded eye-glasses. Now, he has stepped into his early sixties. But there is something that makes him look older; it could be the light or the posture he carries, or his belly standing out over his beltline. Kurzweil is now working as the Director of Engineering at Google; another master in the field of technology. Read the Post Transhumanism Technology Theology: Ghost in The Cloud
The AI experts and scientists have recently signed an open letter urging the United Nations to ban autonomous robots. The robotics industry leaders like Elon Musk and Google’s Mustafa Suleyman, the co-creator of DeepMind, they together warned the UN that they don’t have to act if it’s too late. Read the Post Elon Musk Leads Call To The UN To Ban Autonomous Robots Before It’s Too Late
Google’s efforts in machine learning clearly depict that it is trying to put machine learning in everybody’s hands. Deeplearn.js is a new machine learning library by Google that lets its users harness their Machine Learning powers in a very simple way just inside the browser. Read the Post Google’s DeepLearn.js: Harnessing the Power Of Machine Learning
Microsoft made an impact in the world of devoted AI hardware today. The company introduced a low-latency and high-speed system serving of machine learning models. The team proposed a new system called Brainwave that will grant developers access to deploy machine learning models onto programmable silicon and will allow achieving high performance beyond what they could get from a CPU and GPU.