Dear Cognitive RoundUp Readers,
Every week SwissCognitive - The Global AI Hub - selects 9 articles from the Artificial Intelligence Universe to share with our community.
Among many interesting topics, this week’s articles focus on how AI leverages marketing, how Unmanned Aircraft Systems have started to save lives, and how AI tools support people with mental health.
We wish you a great Sunday!
The SwissCognitive Team
A new computer program uses artificial intelligence to determine what visual neurons like to see. The approach could shed light on learning disabilities, autism spectrum disorders, and other neurologic conditions.
AI–driven marketing leverages models to automate, optimize, and augment the ransformational process of data into actions and interactions with the scope of predicting behaviors, anticipating needs, and hyper personalizing messages.
A donor kidney has been delivered to surgeons at a US hospital via drone. As a result, more and more people start to see huge potential for Unmanned Aircraft Systems (UAS) delivering medical products, with some drones already doing so in Africa.
New Deep Learning model that can predict from a mammogram if a patient is likely to develop breast cancer as much as five years in the future.
For the payments technology industry, AI has an outsized potential to improve the payments ecosystem for banks, payments processors, merchants and consumers.
With a shortage of mental health professionals, individuals not seeking treatment due to lack of access or high costs, and a significant rise in mental health conditions, AI tools are being assessed and used to create solutions to help support people’s mental health.
To which direction is AI going to take the job market? Our choice. This risk of labour market polarisation is likely to be modulated by the collective choices that the Europeans will make (or not).
Autonomous vehicles are undoubtedly the future. These fully automated cars are an astounding wonder that can totally change the way we perceive our lives, especially in terms of transportation and commutation. But when will they actually grace our roads and gain a permanent place in our lives?
What’s the difference between Machine Learning, Deep Learning and Reinforcement Learning? What is Natural Language Processing and how does it work? How do you go about solving these business problems with machine learning? Questions are answered.