By CGTN's World Insight
Great reading. Lots of things happening next year.
Posted by Jeff Dean, Google Senior Fellow, on behalf of the entire Google Brain Team.
Propaganda excessiva faz com que muitos CIOs estejam cautelosos em promover o potencial valor de negócios dessa tecnologia.
DeepMind Ethics & Society vai publicar regularmente relatórios sobre vários assuntos a partir de 2018
Great advice for CIOs ! I would add a comment that this failure is quite natural since we are living in a moment when science (or AI academic knowledge) is finally connecting to business needs.
How to make the most of machine learning investments, including 8 immediate actions to help remove barriers and implement ML strategies
Successful AI requires critical thinkers of the human variety.
Game's competitions are pushing the AI technology further and further. And about Facebook vs Google... my vote is Google.
Let´s talk about bias. Everything has bias ! There is no such impartiality...
Artificial intelligence and machine learning are already proving to be powerful in healthcare, and as the algorithms continue to learn from new data, expect exciting developments in disease diagnosis
When AI reaches Marketing Strategies and Promotions... there will be a lot of cool things going on.
The Big Three cloud providers are the ones most immediately at risk to be disrupted by new entrants such as NVIDIA, Servers.com and Rescale.
Google's DeepMind AI researchers recently evolved Alpha Go to teach itself without the need for human direction or knowledge.
Reddit forum for Machine Learning. Reddit is an American social news aggregation, web content rating, and discussion website.
Import AI is a weekly newsletter about artificial intelligence, read by more than ten thousand experts. It’s written Jack Clark.
Top ten use cases that will reap financial rewards for AI technology product and service companies, and a broad spectrum of benefits for everyone else.
The battle lines in cloud computing are drawn, and Amazon and Microsoft are joining forces to blunt Google's AI strength.
Most companies are deciding to run their big data and machine learning applications in the cloud environment, since the cost of maintenance of the system and its infra-structure are quite high. There are pros and cons for each decision: in-house or cloud.
Interesting yet pessimist point of view, from a VP of one of the biggest Technology Company in the world... I quite agree with him, but I think we will be able to figure out something before "the water boils"...