The ability of AI to generate fake visuals is not yet mainstream knowledge, but a new website — ThisPersonDoesNotExist.com — offers a quick and persuasive education. Read More
Monthly Archives: March 2019
These faces show how far AI image generation has advanced in just four years
Developments in artificial intelligence move at a startling pace — so much so that it’s often difficult to keep track. But one area where progress is as plain as the nose on your AI-generated face is the use of neural networks to create fake images. In brief: we’re getting scarily good at it. Read More
Stanford University Launches ‘Human-Centered’ AI Institute Led by John Etchemendy & Fei-Fei Li
Last October Stanford University announced plans to create an institute built for artificial intelligence research and development. Today, the school made good on its pledge, launching the Stanford Institute for Human-Centered Artificial Intelligence (Stanford HAI) with a mission “to advance AI research, education, policy, and practice to improve the human condition.” Read More
Army AI Task Force Selects Carnegie Mellon as New Hub
Carnegie Mellon University has been selected as the hub of the United States Army’s AI Task Force launched earlier this fall. The launch of the Task Force allows the Army to better connect with the broader artificial intelligence (AI) community as they focus their efforts in this constantly changing field. As the charter location for this national effort, the center based at Carnegie Mellon will engage universities and companies from across the nation and tap into the vibrant robotics and AI community in Pittsburgh. Read More
MIT’s $1 billion college will teach the theory and ethics of AI
Today, the Massachusetts Institute of Technology announced that the university is launching the Stephen A. Schwarzman College of Computing, which is specifically focused on the rise of artificial intelligence. MIT is committing $1 billion to focus on the “ethical evolution” of AI that is already affecting and shaping our society in order to be a global leader in this popular field. Read More
Is a master algorithm the solution to our machine learning problems?
Suppose there’s an algorithm that knows what we’re searching for on Google, what we’re buying on Amazon and what we’re listening to on Apple Music or watching on Netflix. Now this algorithm knows a lot about us and has a better and more complete picture of us. This powerful “master algorithm” is at the heart of work postulated by Pedro Domingos, author of The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World. Read More
Micro Drones — Killer Robots
How to Configure the Number of Layers and Nodes in a Neural Network
Artificial neural networks have two main hyperparameters that control the architecture or topology of the network: the number of layers and the number of nodes in each hidden layer.
You must specify values for these parameters when configuring your network.
The most reliable way to configure these hyperparameters for your specific predictive modeling problem is via systematic experimentation with a robust test harness. Read More
Steve Jobs Stanford Commencement Speech 2005
The Top Cloud-Based AI Services (2018)
The major cloud providers have each rolled out a cloud-based AI service. We take a deep dive on the big players, whose AI services are markedly different from one another. Read More