Motivated by the noise in the advertising space, SWAPP harnesses Artificial Intelligence to put consumers at the heart of fashion ads and content. Founded by Helen Wang, MSc Strategic Fashion Management and Joanna Lanceley, MSc Strategic Fashion Management.
AI and Blockchain
The Founder and CEO of WorkDone Inc., Joseph Rogers, sits down with Security Token Academy’s Adam Chapnick for this expert interview. WorkDone Inc. is bringing AI to the workplace with machine learning-based workforce automation services.
Elon Musk’s Neuralink Says It’s Ready for Brain Surgery
Elon Musk speaks about Neuralink, a company he founded in 2017 to develop a data transmission system between people and computers. “This is going to sound pretty weird, but ultimately, we will achieve symbiosis with artificial intelligence,” Musk said at a news conference in San Francisco.
Understanding Neural Networks
MIT-IBM Watson AI lab research team member David Bau explains how computers show evidence of learning the structure of the physical world.
3 Ways AI Can Improve Your Marketing
In this video, Salesforce presents how to tap into the power of AI to segment your audiences, deliver tailored content, and connect with customers the way they want — allowing you to deliver the level of personalization they expect.
Ditch Your Agency, Hire an AI
Examples of image and copywriting from humans vs artificial intelligence.
AI in Advertising
How artificial intelligence and machine learning can solve attribution, personalization and content creation in advertising and marketing.
Types of Machine Learning 2
This lecture gives an overview of the main categories of machine learning, including supervised, un-supervised, and semi-supervised techniques, depending on the availability of expert labels. We also discuss the different methods to handle discrete versus continuous labels.
Types of Machine Learning
This lecture gives an overview of the main categories of machine learning, including supervised, un-supervised, and semi-supervised techniques, depending on the availability of expert labels. We also discuss the different methods to handle discrete versus continuous labels.
End of the Beginning: What’s Next for Artificial Intelligence
AI began in the 1950s. What followed was the AI winter, progress was over-estimated. In the 2000s a lot of progress was made with machine learning.
Today’s AI is machine learning, which are programs that learn from experience. It’s data that is writing code.
Automation will replace human jobs, but more jobs will be created as well as more opportunities. AI will help to free us from mundane tasks and to solve problems.