Feb.26 — John Brownstein, Boston Children’s Hospital chief innovation officer, discusses how the hospital made an AI tool to map the spread of the coronavirus. He speaks on “Bloomberg Markets.”
Fashion Meets Artificial Intelligence – BBC Click
We went to London Fashion Week to see how the industry is embracing artificial intelligence.
Artificial Intelligence, Explained | The rise of AI | Explore Mode
Should we be afraid of AI? Afraid of robots terminating the human race? Afraid of our daily devices slowly gaining consciousness? Okay maybe these scenarios sound very far fetched, but according to estimates by Oxford Economics, 47 percent of all jobs across the United States are at risk of becoming automated. And Elon Musk thinks we’re all doomed. Is this the beginning of the singularity? Do you know what is the singularity is? We’ll explain that in a bit. Artificial Intelligence has been around for quite some time now and even when it wasn’t around it was making guest appearances in our favorite sci-fi shows and movies. Since the dawn of technology, humans have wondered, “Could we create a machine that works like — or even better than — us?” The answer to this question seems to be a resounding yes. Machine learning is happening all around us: tablets, cellphones, computers, not to mention YouTube, the platform you’re watching this video on right now — they’re all rigged with it. There are many questions that arise when we think of A.I. How far are we from going from an r2d2 to a c3po? Or maybe you believe a Terminator-esque scenario is more likely? How possible is it to create a machine with a conscience? Will the rise of A.I. be the beginning of the end for humans? And how will the evolution of A.I. actually affect our day to day lives? You’re watching Explore Mode and today we are diving into the rise of artificial intelligence.
Deep Learning In 5 Minutes
This video on “What is Deep Learning” provides a fun and simple introduction to its concepts. We learn about where Deep Learning is implemented and move on to how it is different from machine learning and artificial intelligence. We will also look at what neural networks are and how they are trained to recognize digits written by hand. We further look at some popular applications of Deep Learning. So, let’s dive into the world of Deep Learning with this video.
Scientist Explains Self Improving Artificial Intelligence
In this discussion, Lex Fridman speaks with Joe Rogan on robotics and artificial intelligence.
EU to unveil proposed regulations for artificial intelligence
The European Union is set to unveil its proposed regulations for artificial intelligence (AI). It is part of a plan to challenge the United States and China’s dominance in the sector. That includes committing billions of dollars in public and private funds to advance the science behind AI.
Part of that investment will focus on bringing data storage back from other areas outside the EU – in particular the US.
And one of the main issues it is focusing on is data privacy. The European Commission is particularly concerned as technologies like smart home systems and facial recognition become more widespread.
Mark Coeckelbergh, a member of the High-Level Expert Group on Artificial Intelligence for the European Commission, talks to Al Jazeera about the development.
What’s the Distinction Between Machine Learning & Artificial Intelligence?
Learn about the distinction between artificial intelligence and machine learning in this short Q&A with Dr. Nicko van Someren, CTO at Absolute. What is artificial intelligence? Artificial Intelligence (AI) refers to the area of computer science tasked with making computers behave in ways that normally require human intelligence. AI is used across industries, for example, to automate repetitive tasks or improve customer experiences. What is machine learning? Machine learning (ML) is a subset of AI and refers to machines that can learn on their own and adjust themselves based on new and historical data. ML algorithms look at vast data sets to determine patterns and identify outliers. With outliers defined, ML finds better ways to detect them more quickly and uses an understanding of the actions that were taken in response to these outliers in the past to proactively propose the same when a similar outlier is detected in the future. In machine learning models, machines learn on their own without being explicitly programmed.
The Killer Robot Takeover is Inevitable
VICE gained exclusive access to a small fleet of US Army bomb disposal robots—the same platforms the military has weaponized—and to a pair of DARPA’s six-foot-tall bipedal humanoid robots. We also meet Nobel Peace Prize winner Jody Williams, renowned physicist Max Tegmark, and others who grapple with the specter of artificial intelligence, killer robots, and a technological precedent forged in the atomic age. It’s a story about the evolving relationship between humans and robots, and what AI in machines bodes for the future of war and the human race.
Open source trends to watch in 2020
IBM Vice President of Open Technology Todd Moore shares thoughts on the coming banner year for open source, touching on Containers/Kubernetes/OpenShift, A.I. tie-ins such as Tensorflow, ONNX, and Pytorch, as well as other cloud native technologies such as Kubeflow. Look for the Java programming language to make waves in 2020 as well.
Artificial Intelligence In 90 Seconds
Artificial Intelligence is used everywhere. Everyday you see it in search engines, shopping recommendations, and digital assistants. It’s also used in fraud prevention, the medical industry uses it in analysis of radiological scans, and meteorologists use it to better predict extreme weather. But what is AI? The short answer is: AI is the science of making machines smart. AI’s use algorithms to solve problems. They can consume and analyze enormous amounts of data to learn to complete a particular task. This is called machine learning. One of the most popular machine learning libraries is Google’s TensorFlow. TensorFlow has several wrappers in several languages making it accessible to just about anyone. Here’s how it works. Most machine learning frameworks will follow the same basic steps: collect data, build models, train the network, evaluate the results, predict outcome. There are other machine learning frameworks out there, but the thing I like best about TensorFlow is that it is open source and has great community support.