The Convergence of Machine Learning and Artificial Intelligence Towards Enabling Autonomous Driving

Brains, Minds, and Machines Seminar Series: Amnon Shashua – Hebrew University, Co-founder, CTO and Chairman of Mobileye The field of transportation is undergoing a seismic change with the coming introduction of autonomous driving. The technologies required to enable computer driven cars involves the latest cutting edge artificial intelligence algorithms along three major thrusts: Sensing, Planning and Mapping. Prof. Amnon Shashua is describing the challenges and the kind of machine learning

How Artificial Intelligence and Artificial Evolution can cooperate to shape out the future

Prof.Pierre Collet is trying to find the solutions “How Artificial Intelligence and Artificial Evolution can cooperate to shape out the future (creative autonomous computers)”? How new technologies are shaping a future where machines could be faster, more creative and more innovative than humans ? How AI and AI lead us toward a generation of intelligent and autonomous computers ? “Our research team are working right now in Strasburg University and we

Artificial Intelligence at CeBIT Global Conferences 2017

CeBIT Global Conferences 2017 is revolving around the slogan “Explore the Digital World!”.  IT suppliers and users, Internet firms and investors, as well as creative and future-oriented thinker are joining on a five-day journey of discovery as they delve deep into the realms of artificial intelligence, cyborgs & biohacking, robots, virtual worlds, the Darknet and cybercrime.  “Artificial Intelligence: Where are we at and where are we heading?” Prof. Dr. Christian Bauckhage,

The Future is Brighter Than We Think : Ray Kurzweil

Ray Kurzweil is probably the most qualified individual to talk about the future of technology. He does it at CeBIT in a captivating presentation about technologies that will be as important as the internet. Ray is an Inventor, Entrepreneur, Futurist, Writer, founder of the Singularity University and now at Google.

Two robots were created to do nothing but feel emotion: Omeleto

By the age of six seconds, Arthur was fluent in 6,000 different languages. But he was no ordinary child. He was artificial. Labrat Industries was the leading tech company in the world. They excelled in fields such as quantum physics, aerospace engineering, and most recently, AI research. But with the growth of technology came decreased personal connections. To combat this issue, the emotional intelligence units were created. They had one purpose for

The Future of Dating is Artificial Intelligence

Tinder, the Match Group’s popular dating app, has made more than 20 billion connections since Sean Rad launched the app in 2012. Back then the app, which lets you swipe through an endless flow of potential mates, was simply a side project for Rad. Today, Tinder has more than 50 million active users across 195 countries. Sean Rad Sean Rad is Founder and CEO of Tinder, a global platform that

The Dawn of Artificial Intelligence: Sam Harris

Jason McCabe Calacanis who is an American Internet entrepreneur, blogger and Samuel Benjamin “Sam” Harris who is an American author, philosopher, neuroscientist are having conversation on Artificial Intelligence. Who is Jason McCabe Calacanis ? Jason McCabe Calacanis is an American Internet entrepreneur and blogger. His first company was part of the dot-com era in New York, and his second venture, Weblogs, Inc., a publishing company that he co-founded together with Brian Alvey, capitalized on

What is Technological Singularity?: National Geographic

Jason Silva explains the concept of technological singularity and how artificial intelligence is nothing to be afraid of. “One of the apprehensions that people have about this technological singularity, which is really a metaphor.. metaphor borrowed from physics to describe what happens when you go through a black hole…Center of a black holes is singularity.. The laws of physics as we know them kind of collapse or implode they no longer

Deep Learning From A to Z

From the Basics of Machine Learning to Understanding TensorFlow Internals with Raphael Gontijo Lopes.. Machine Learning Data has high-level features Some of those features are called labels You can extract those features and labels from data using classifiers Machine Learning is how computers learn to do this (train classifiers) Supervised Learning is ML where you learn from labeled data Neural Networks Data is composed of attributes Labels can be extracted