We usually think of intelligence as a quality that individuals possess. However, many of our largest and most complex problems are often solved by groups of individuals. If we think of intelligence as an ability to solve problems, groups can also act intelligently.
Making sensors more intelligent has required substantial investment in machine learning algorithms. The SensiML platform aims to bring that cost crashing down.
Artificial intelligence (AI) is a wide-ranging tool that enables people to rethink how we integrate information, analyze data, and use the resulting insights to improve decision making
EPFL roboticists have shown that when a modular robot shares power, sensing, and communication resources among its individual units, it is significantly more resistant to failure than traditional robotic systems, where the breakdown of one element often means a loss of functionality.
Matroid builds no-code computer-vision detectors that can spot everything from microscopic material defects to real-time safety hazards on a factory floor.
In large-scale warehousing and distribution operations, conveyor belts are an essential infrastructure that must operate with near-zero downtime to ensure the timely delivery of products. The presence of loose or foreign items on a conveyor belt can pose a serious risk to these operations.
In this post, we'll walk through how to evaluate that progress using the same metrics our platform provides automatically, so you can build detectors that get smarter, sharper, and more reliable over time.
We usually think of intelligence as a quality that individuals possess. However, many of our largest and most complex problems are often solved by groups of individuals. If we think of intelligence as an ability to solve problems, groups can also act intelligently.
Making sensors more intelligent has required substantial investment in machine learning algorithms. The SensiML platform aims to bring that cost crashing down.
RE2 Robotics develops robotic manipulation systems with human-like performance, intuitive robot interfaces and advanced autonomy software that can operate in both indoor and outdoor environments..
As a cornerstone of artificial intelligence (AI), machine learning enables smart systems to perform increasingly complex cognitive tasks without requiring explicit instructions. One interesting application of modern machine learning is for high-accuracy gesture detection for portable devices.
Hyperganic, a company based in Munich, Germany, develops a software platform that uses artificial intelligence for the advanced design and engineering of highly complex components, structures and entire machines.
Robots are gradually permeating into more and more areas of our daily life: smart cars are at work on storage facilities and production sites, they test delivery services.
In recent years, we have experienced the success of modern machine learning (ML) models. Many of them have led to unprecedented breakthroughs in a wide range of applications, such as AlphaGo beating a world champion human player or the introduction of autonomous vehicles.
Love is Blind's AI/data scientist Cameron Hamilton speaks with Rachel Gordon of MIT's Computer Science and Artificial Intelligence Laboratory on his AI company, finding love on the hugely popular Netflix show, and where he sees the future of digital dating.
As the world becomes increasingly automated, the IoT (Internet of Things) is already transforming our domestic and business lives. Nowhere is this more apparent than in the use of AI and robotics in the manufacturing industry, with all the benefits offered by Industry 4.0.