What is Machine Learning? Definition, Types, Applications As businesses and other organizations undergo digital transformation, they’re faced with a growing tsunami of data that is at once incredibly valuable and increasingly burdensome to collect, process and analyze. New tools and methodologies are needed to manage the vast quantity of data being collected, to mine it […]
What is AI ML and why does it matter to your business? Read More »
Symbolic AI is dead long live symbolic AI! The program improved as it played more and more games and ultimately defeated its own creator. In 1959, it defeated the best player, This created a fear of AI dominating AI. This lead towards the connectionist paradigm of AI, also called non-symbolic AI which gave rise to
Exploring Symbolic AI: Examples and Technical Insights by Anote Read More »
The biggest challenges in NLP and how to overcome them A social space where people freely exchange information over their microphones and their virtual reality headsets. Face and voice recognition will prove game-changing shortly, as more and more content creators are sharing their opinions via videos. While challenging, this is also a great opportunity for
2405 07766 Challenges and Opportunities of NLP for HR Applications: A Discussion Paper Read More »
