MIT researchers have used AI to predict which technologies are rapidly improving — and which ones are overhyped. In a new study, the team quantitatively assessed the future potential of 97% of the US patent system. The fastest-improving domains were predominantly…
Automated machine learning, or AutoML, has generated plenty of excitement as a pathway to “democratizing data science.” The goal is straightforward enough: By embracing a new AI mindset and automating key elements of algorithm design, AutoML can make machine learning…
A Calgary, Alberta, animal health technology company, Sylvester.ai, has developed an app called Tably that uses the phone’s camera to tell whether a feline is feeling pain. The app looks at ear and head position, eye-narrowing, muzzle tension, and how…
On paper, blockchain is irrefutable. It delivers transparency, it’s immutable, self-governed, and secure. The only thing holding the technology back until recently was a lack of understanding from traditional businesses. Now, with the growing acceptance of crypto, and the adoption…
Smart toys made with artificial intelligence, such as machine-learning capabilities, can collect different forms of data from kids. Whether an AI-enabled toy is personalizing lessons based on how fast your kid learns shapes, or a doll is learning your kid’s…
As manufacturers become increasingly connected, their systems, machines, sensors and other devices are generating a wealth of new data, and given the sheer volume of data generated, that isn’t easily analyzed. It is a challenge that traditional manufacturing systems are…
Automated machine learning, also referred as AutoML, is the process of automating the time-consuming, iterative tasks of machine learning model development. With automated machine learning users accelerate the time it takes to get production-ready ML models with great ease and…
This kind of automated coding is called “machine programming.” One of its most interesting capabilities is “code semantic similarity,” which attempts to autonomously determine whether two code snippets show similar characteristics or achieve similar goals. This has only recently become…
The last 15 years have brought what Stanford University professor Erik Brynjolfsson calls the “productivity paradox.” While there’s been continuing advances in technology, such as artificial intelligence, automation, and teleconferencing tools, the U.S. and other countries have seen flagging productivity.…
New digital forms of money have the potential to provide cheaper and faster payments, enhance financial inclusion, improve resilience and facilitate cross-border transfers. It requires significant investment as well as difficult policy choices, such as clarifying the role of the…
