Comet.ml allows data scientists and developers to easily monitor, compare and optimise their machine learning models. The New York-based company is launching its product today, after completing the TechStars-powered Amazon Alexa Accelerator program and raising a $2.3 million seed round led by Trilogy Equity partners, together with Two Sigma Ventures, Founders Co-Op, Fathom Capital, TechStars Ventures and angel investors.
The service provides you with a dashboard that brings together the code of your machine learning (ML) experiments and their results. In addition, the service also allows you to optimise your models by tweaking the hyperparameters of your experiments.
A person watching videos that show things opening — a door, a book, curtains, a blooming flower, a yawning dog — easily understands the same type of action is depicted in each clip.“Computer models fail miserably to identify these things. How do humans do it so effortlessly?” asks Dan Gutfreund, a principal investigator at the MIT-IBM Watson AI Laboratory and a staff member at IBM Research. “We process information as it happens in space and time. How can we teach computer models to do that?”
Such are the big questions behind one of the new projects underway at the MIT-IBM Watson AI Laboratory, a collaboration for research on the frontiers of artificial intelligence. Launched last fall, the lab connects MIT and IBM researchers together to work on AI algorithms, the application of AI to industries, the physics of AI, and ways to use AI to advance shared prosperity.
The Skydio R1 is the world’s first fully autonomous consumer drone. It uses AI and a mix of cameras and sensors to pilot itself and follow a subject through complex environments. To test those claims, The Verge took the R1 to a park in San Francisco to see how well it could handle following a subject hiking, biking, and skateboarding.
Microsoft announced that it plans to invest $5B into various programs surrounding the Internet of Things (IoT) over the next four years, as part of its bid to make the deployment and use of internet-connected hardware easier for its business customers.
This commitment is a major increase for Microsoft, which had spent $1.5 billion to date on IoT initiatives, according to executive vice president Jason Zander. The money will be used primarily for research, development, and partner
Korean robot scientists have developed a new robot that aims at increasing the amount of time lonely people or those who prefer to be alone spend time with others.
The robot, called Fribo, is a small cat-like device that listens to all the sounds popping up in your home. Instead of listening too much to what you’re saying, it aims at determining when you’re cleaning your house, cooking, or watching the big game. It then takes that information and sends it off to a Fribo at your friend’s house,
which then conveys that message to your friend. The technology was earlier reported on by IEEE Spectrum and The Verge.
Arkera, a new fintech app which uses artificial intelligence (AI) to aid personal investing, has raised £4M from investors including the co-founder of hedge fund Brevan Howard.
“There is a niche in the market for artificial intelligence and machine learning to empower clients to make exciting investment decisions,” said Arkera’s co-chief executive Vinit Sahni. The company has said it aims to help financial institutions increase revenues by “equipping their clients with the knowledge and confidence to make and drive investment decisions”.
Sahil Dua, a developer at Booking.com, explained how they have been able to scale machine learning (ML) models for recommending destinations and accommodation to their customers using Kubernetes, at this year’s QCon London conference (PDF of slides). In particular, he stressed how the properties of a Kubernetes cluster — elasticity and resource starvation avoidance on containers — helps them run computationally (and data) intensive, hard to
parallelize, machine learning models.
Dua provided more details on how the properties of the Kubernetes platform benefited his team and are key for Booking.com to utilise many ML models at large scale; around 1.5 million room nights are booked daily, and the site receives 400 million monthly visitors.
Edge Case Research and Kaarta, both Pittsburgh-area companies, announced today a collaboration to accelerate autonomous vehicle safety. uEdge Case, helping industries such as autonomous vehicles build more robust, safer and better software, will use Kaarta 3-D mapping and localization technologies to map Pittsburgh’s streets and pilot its Hologram platform.
Hologram will be a tool that maximizes every autonomous vehicle mile driven by using each recorded scenario to make a million possible scenarios to test, according to a news release. This will let manufacturers improve testing.