Customize Consent Preferences

We use cookies to help you navigate efficiently and perform certain functions. You will find detailed information about all cookies under each consent category below.

The cookies that are categorized as "Necessary" are stored on your browser as they are essential for enabling the basic functionalities of the site. ... 

Always Active

Necessary cookies are required to enable the basic features of this site, such as providing secure log-in or adjusting your consent preferences. These cookies do not store any personally identifiable data.

No cookies to display.

Functional cookies help perform certain functionalities like sharing the content of the website on social media platforms, collecting feedback, and other third-party features.

No cookies to display.

Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics such as the number of visitors, bounce rate, traffic source, etc.

No cookies to display.

Performance cookies are used to understand and analyze the key performance indexes of the website which helps in delivering a better user experience for the visitors.

No cookies to display.

Advertisement cookies are used to provide visitors with customized advertisements based on the pages you visited previously and to analyze the effectiveness of the ad campaigns.

No cookies to display.

Login

|

Webinar
LES USA-Canada "A Survey of Artificial Intelligence"
LES USA & Canada
All

Website: https://members.lesusacanada.org/events/EventDetails.aspx?id=1806752&group=

This webinar (hosted by the LES USA-Canada High Tech Sector) will cover trends in AI, the differences between artificial intelligence, machine learning, neural networks and and deep learning, natural language processing and generative AI, as well as large language models and the extent of bias in AI.

Topics include:

  • What is AI – a definition
  • Natural Language Processing
  • AI Trends
  • Generative AI
  • Brief History of AI
  • Large Language Models
  • AI vs ML vs NN vs. DL
  • Cost of Training
  • Machine Learning
  • Bias in AI
  • Neural Networks
  • Legal Aspects
  • Deep Learning