Craftinity

Why did machine learning make such a strong impact on computer science?

Check out this article by MIT Technology Review.

"The biggest shift we found was a transition away from knowledge-based systems by the early 2000s. These computer programs are based on the idea that you can use rules to encode all human knowledge. In their place, researchers turned to machine learning—the parent category of algorithms that includes deep learning."

We analyzed 16,625 papers to figure out where AI is headed next Our study of 25 years of artificial-intelligence research suggests the era of deep learning may come to an end.

31% of companies purchase data
. and 228% of companies do something else :D

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The photo is from the conference "Mapa drogowa rozwoju sztucznej inteligencji w Polsce" (Road Map for AI in Poland) hosted by the government branches Ministry of Science and Higher Education (Ministerstwo Nauki i Szkolnictwa Wyższego), Ministry of Entrepreneurship and Technology (Ministerstwo Przedsiębiorczości i Technologii), and Ministry of Digital Affairs (Ministerstwo Cyfryzacji). The event started today and will conclude tomorrow - this is Craftinity's second year in attendance!

Hey, everyone! After a long break, we’ve released the sixth episode of our podcast, “Machine Learning Made Known.”

In light of the recent events concerning data privacy and consensual data sharing, Moritz Bierling, Chief Strategist at Exosphere, discusses the concept of consensual data sharing through a new platform called Holochain with Andrew Brozek, Craftinity’s CEO.

Check out the link below to hear more:

Radio Craftinity Craftinity Radio is an in-house podcast written and recorded by the employees of Craftinity. Our first series is called “Machine Learning Made Known.” This series intends to take concepts from ML and make them digestible for a more general audience. We cover a wide range of topics, from very spe...