SwissCognitive | AI Ventures, Advisory & Research
SwissCognitive | AI Ventures, Advisory & Research, committed to Unleashing AI in Business
In 2022, we will see AI continue along the path to becoming the most transformative technology humanity has ever developed.
In this post, we’ll look at some exciting books focusing on new research and application areas in Natural Language Processing.
AI in Marketing: How AI Innovations Are Influencing All Aspects of Marketing. Learn more about it in the blog post.
Top 10 Packt Machine Learning Books to Read in 2021. A Guest Blog post by Sunith Shetty. Learn more in the article.
The Role of AI in Cloud Computing: Humans could monitor breaches within the cloud infrastructure, ML and AI help to automate this process in an impactful way.
How to get Artificial Intelligence to sound less drunk: the GPT-3 case study. Learn more about this topic in the article.
True NLU has a long way to go: Just one of the Natural Language Processing Trends That Impact Enterprises in 2021.
Domain-specific AI isn’t here quite yet, but deep language learning models like BERT and GPT-3 suggest it’s just a matter of time before your niche sees its own transformative AI innovations.
A consolidated list of interesting machine learning research papers that has made some noise during 2020: From NLP to Computer Vision and more.
Biggest Stories in AI: From GPT-3: AI-Generated Text, AlphaFold: Protein Folding to Democratizing Deep Learning, AI Ethics and more.
A Decade Of AI: Be it access to world standard courses, platforms, libraries, frameworks, hardware, this was the decade when AI went mainstream.
How AI and machine learning moved forward in 2020: from the first beta of GPT-3, stricter regulation of AI technologies and conversations around algorithmic bias.
