Artificial Intelligence Review #10
– Artificial Intelligence News #10 –
Is Aritificial Intelligence racist?
This modern-day marvel is the result of Machine Learning. A form of Artificial Intelligence. Programs like this comb through millions of pieces of data and make correlations and predictions about the world. Their appeal is immense: Machines can use cold, hard data to make decisions that are sometimes more accurate than a human’s. But machine learning has a dark side. If you want to know more about it, this website offers you all the information that you need.
vox.com
AI can write but…. What does that mean for humans?
AI will certainly bring benefits in some areas, but its impact in many other areas may be negative or even nonexistent. That’s because there’s really no such thing as Artificial Intelligence. What everyone is really getting excited (or nervous) about might better be described as intelligent automation, or IA. Forbes recently reported about a study that indicated that almost half of all European firms that could be classified as “AI startups” don’t actually use AI in any material way for their business. From a business perspective this isn’t very surprising because investors have been throwing money right and left hoping to hit on the next AI unicorn and make a bundle in return. So it’s definitely to the advantage of entrepreneurs to sell their startup as leveraging the power of AI to make their products and services better than those of competitors.
forbes.com
The cultural history in AI
Just over a year old, AI start-up IVOW has a mission to “bring the ancient art of storytelling into your smart home devices”. IVOW is busy developing a chatbot that will record and share users’ stories. This involves training IVOW’s “Culturally Sensitive Deep Learning model” on different images in order for it to suggest detailed captions, generated by natural language processing algorithms, that reflect cultural elements of a photo. The international research teams involved in the open-source Time Machine project aim to not only digitise huge amounts of information currently stored in archives and museums, but to then use AI to analyze the data to reconstruct 2000 years of European history with a“Large Scale Historical Simulator”.
forbes.com
Do you want to know when will you die? Now it’s possible with AI
The new research that appears in the journal PLOS ONE suggests that machine learning can be a valuable tool for predicting the risk of premature death. The scientists compared the accuracy of artificial intelligence prediction with that of statistical methods. Experts are currently using it in medical research. Now, researchers have set out to examine whether machine learning can accurately predict premature mortality due to chronic disease. Stephen Weng, who is an assistant professor of epidemiology and data science at the University of Nottingham in the United Kingdom, led the new research.
medicalnewstoday.com
There are two more planets; AI discovered it
Once again, we can confirm the effectiveness of AI. The Universe being immense, it is not necessarily easy to find any trace of planet in our discovery of space. In an article to be published soon in The Astronomical Journal, astronomers have succeeded in detecting two new planets. It is possible through the use of an algorithm that uses deep learning. Anne Dattilo, has thus made it possible to detect signals omitted or missed by traditional methods to detect planets. The data collected during Kepler’s extended K2 mission differed considerably from those collected during the initial spacecraft mission. Therefore, Kepler constantly oscillated, and it was through the AI that the data could be used.
androidpit.com
– Artificial Intelligence Blogs & People –
Lex Fridman Podcast
The Artificial Intelligence (AI) podcast hosts accessible, big-picture conversations at MIT and beyond about the nature of intelligence. The podcast is done with some of the most interesting people in the world related to Artificial Intelligence. They talk from a variety of perspectives including machine learning, robotics, neuroscience, philosophy, psychology, economics, physics, mathematics, cognitive science, software engineering and more.