🧠 Artificial Intelligence
Artificial intelligence (AI) helps doctors make better diagnoses, scientists create new materials, farmers grow crops more effectively and all of us driving cars - and millions of other applications. This topic also covers subsets of AI such as machine learning (ML), deep learning and neural networks.
❤ AI can determine the risk of heart attack by looking you in the eye
A regular eye examination can show if you have an increased risk of having a heart attack.
🤖 "Star" operates "significantly better" than a human surgeon
With the help of machine learning, researchers have taught a robot to perform bowel surgery on its own - and even better than human surgeons can.
🧠 Statistics and AI help detect fake news
Combining AI and statistical models makes it possible to reveal fake news and understand why AI flags something like fake news.
🧠 AI tracks down hidden ditches - prevents flooding
By examining altitude models, an AI can determine where there are ditches in the forest. This facilitates the re-creation of wetlands.
💡 African AI software to help executives with advice
South Africa has developed an innovative AI that helps businesses better understand their needs and opportunities.
🚗New AI technology provides safer self-driving cars
By giving AI a little more "common sense", an international research team wants to give us self-driving cars that can better predict what will happen in traffic.
🩸AI shows which treatments for blood poisoning are most risky
Researchers have developed an AI that can show which treatments for sepsis are at risk of making the patient worse instead of better.
💬 "This will change all industries"
Translate all languages and transcribe from speech to text in real-time, and use smart search functions based on real questions. These are just a few examples of how machine learning changes all industries, says Vikram Anbazhagan, Director of Amazon Lex within the AWS AI team.
🩺 Better health care when AI creates meaning in big data
In modern health care, enormous amounts of data are generated. By becoming better at analyzing it, we can both produce drugs faster and use healthcare resources more efficiently, says Taha Kass-Hout, Director, Machine Learning & Chief Medical Officer at Amazon Web Services.