Neuro-symbolic approaches in artificial intelligence National Science Review It is the form of valid reasoning, which means the argument’s conclusion must be true when the premises are true. These are just a few examples, and the potential applications of neuro-symbolic AI are constantly expanding as the field of AI continues to evolve. “There have been …
Deep Learning Alone Isnt Getting Us To Human-Like AI Read More »
NLP & Lexical Semantics The computational meaning of words by Alex Moltzau The Startup The focus on techniques has also brought out another NLP/ NS difference. NLP is mostly trained from a meta-program of procedures whereas Neuro-Semantics is mostly trained from an options point of view. This is one of those things that many people …
Semantic Representations for NLP Using VerbNet and the Generative Lexicon Read More »
8 Reasons to Use Chatbots For Recruiting It’s important to keep in mind though that a recruitment chatbot is not designed to replace a human. As Alexa, Siri, and Google Assistant become more common in our personal lives, communicating with a chatbot during the recruiting process is being embraced by candidates. ChatGPT may also answer …
High-quality data is the key to unlocking value from AI, GenAI, says Snowflake AI head It is still premature in its ability to read between the lines and recognize all kinds of people, for it overlooks some qualities of a candidate that can only be seen by recruiters themselves. It can be improved and do …
Breach Roundup: CISA Proposes Security for Bulk Data Sales Read More »