Tag Archives: Artificial Intelligence
Bringing the power of AI to the Internet of Things
The Internet of Things is getting smarter. Companies are incorporating artificial intelligence—in particular, machine learning—into their IoT applications. The key: finding insights in data.
With a wave of investment, a raft of new products, and a rising tide of enterprise deployments, artificial intelligence is making a splash in the Internet of Things (IoT). Companies crafting an IoT strategy, evaluating a potential new IoT project, or seeking to get more value from an existing IoT deployment may want to explore a role for AI. Read More
AI in IoT: 4 Examples on How to Make Use of It
Technologies like Internet of Things (IoT) and Artificial Intelligence (AI) tell us that the future is now. Remarkably, these technology concepts perfectly complement each other. The number of connected devices will only expand and the mass of data produced by them will grow to head-spinning volumes. AI can help organizations gain meaningful insights from big data that IoT provides. But how do you get the insights? Has anyone already made use of AI in IoT? Let’s take a look. Read More
Artificial Intelligence And IP (Part I)
AI today is pretty incredible and prevalent in everyday interactions, from using Apple’s Siri as a personal assistant to interacting with Amazon’s Alexa at home to using chatbots on social media. As better algorithms are developed, broader data sets are provided for training, these systems continue to learn, and we have improved outputs. In 2016, for example, “The Next Rembrandt” project produced an impressive “new Rembrandt” painting more than 400 years after the master artist died. While the creators of the project acknowledge that the computer-created Rembrandt wouldn’t fool an art expert, it is still a remarkable display of machine-learning and output. As AI improves to the point where it can create art works, write newspaper articles, create new songs, or produce full-length movie scripts and novels, a number of intellectual property questions arise. Read More
AI Business School
Business leaders can use AI Business School to gain specific, practical knowledge to define and implement your AI strategy. Hear directly from industry experts on how to foster an “AI-ready” culture and learn how to use AI responsibly and with confidence. Read More
They will do more of the mundane tasks so humans don’t have to.
The next time you sit down to watch a movie, the algorithm behind your streaming service might recommend a blockbuster that was written by AI, performed by robots, and animated and rendered by a deep learning algorithm. An AI algorithm may have even read the script and suggested the studio buy the rights. Read More
‘A.I.’ for VFX at SIGGRAPH Part 1
Artificial Intelligence (AI) is set to change the way VFX is approached and produced. At this year’s SIGGRAPH there are a series of key talks, papers and panels discussing applications of various forms of AI to VFX, by many of the biggest names in the Industry.
Doug Roble, Digital Domain’s senior director of software R&D, personally shares his thoughts on FUTURE ARTIFICIAL INTELLIGENCE AND DEEP LEARNING TOOLS FOR VFX. Read More
The new Artificial Intelligence frontier of VFX
If there’s a buzz phrase right now in visual effects, it’s “machine learning.” In fact, there are three: machine learning, deep learning and artificial intelligence (A.I.). Each phrase tends to be used interchangeably to mean the new wave of smart software solutions in VFX, computer graphics and animation that lean on A.I. techniques.
Already, research in machine and deep learning has helped introduce both automation and more physically-based results in computer graphics, mostly in areas such as camera tracking, simulations, rendering, motion capture, character animation, image processing, rotoscoping and compositing. Read More
What is the difference between AI, machine learning and deep learning?

You can think of artificial intelligence (AI), machine learning and deep learning as a set of a matryoshka doll, also known as a Russian nesting doll. Deep learning is a subset of machine learning, which is a subset of AI. Read More
Bill Gates says AI should improve education and medicine
“The world hasn’t had that many technologies that are both promising and dangerous,” Gates said Monday, mentioning nuclear energy and nuclear weapons as other examples with that much potential for profound change. As for areas where AI has helped society so far, he said, “I won’t say there are that many.” But that doesn’t have to be the case. He singled out medicine and education as areas where AI could help out the humans while speaking at a conference run by the new Stanford Institute for Human-Centered Artificial Intelligence. Read More
