Teaching AI to connect senses like vision and touch
While our sense of touch gives us a channel to feel the physical world, our eyes help us immediately understand the full picture of these tactile signals. Robots that have been programmed to see or feel can't use these signals quite as interchangeably.
Algorithm tells robots where nearby humans are headed
A new tool for predicting a person's movement trajectory may help humans and robots work together in close proximity.
AI generates human faces based on their voices
How much can we infer about a person's looks from the way they speak? A group of researchers from MIT has created an artificial intelligence system that can reconstruct people's faces by listening to their voices.
Using AI to predict breast cancer and personalize care
Researchers have created a new deep-learning model that can predict from a mammogram if a patient is likely to develop breast cancer as much as five years in the future. Trained on mammograms and known outcomes from over 60,000 MGH patients, the model learned the subtle patterns in breast tissue that are precursors to malignant tumors.
CNI are a photonic products manufacturer specialising in laser diodes. CNI area a key player in the global laser diodes market.
Fleet of "roboats" could collect garbage
The city of Amsterdam envisions a future where fleets of autonomous boats cruise its many canals to transport goods and people, collect trash, or self-assemble into floating stages and bridges.
A 3-D printer powered by machine vision and artificial intelligence
Objects made with 3-D printing can be lighter, stronger, and more complex than those produced through traditional manufacturing methods. But several technical challenges must be overcome before 3-D printing transforms the production of most devices.
Sensor-packed glove learns signatures of the human grasp
Wearing a sensor-packed glove while handling a variety of objects, researchers have compiled a massive dataset that enables an AI system to recognize objects through touch alone. The information could be leveraged to help robots identify and manipulate objects, and may aid in prosthetics design.
Fabrics poised to become the new software
In the summer of 2018, a team led by MIT researchers reported in the journal Nature that they had successfully embedded electronic devices into fibers that could be used in fabrics or composite products like clothing, airplane wings, or even wound dressings.
Human-like reasoning for driverless car navigation
With aims of bringing more human-like reasoning to autonomous vehicles, researchers have created a system that uses only simple maps and visual data to enable driverless cars to navigate routes in new, complex environments.
Machine learning could make antibiotics more effective
Most antibiotics work by interfering with critical functions such as DNA replication or construction of the bacterial cell wall. However, these mechanisms represent only part of the full picture of how antibiotics act.
Quantum dots enhance stability of solar-harvesting perovskite crystals
Researchers have combined two emerging technologies for next-generation solar power — and discovered that each one helps stabilize the other. The resulting hybrid material is a major step toward reducing the cost of solar power while multiplying the ways it can be used.
NSG Group, Ubiquitous Energy to develop transparent solar windows
The ongoing joint development work targets the development, manufacture, and integration of Ubiquitous Energy's ClearView Power technology into architectural window glass that has the potential to produce solar electricity for buildings.
Will Volkswagen Group Succeed in Electric Vehicles?
IDTechEx Research analyses whether or not the VW group can innovate their way through a challenging time and succeed in electric vehicles.
Low-cost, high-tech synthetic biology for the classroom
How can high school students learn about a technology as complex and abstract as CRISPR? It's simple: just add water.
Smarter training of neural networks
These days, nearly all the artificial intelligence-based products in our lives rely on "deep neural networks" that automatically learn to process labeled data.
Crystalline Mirror Solutions (CMS)
Crystalline Mirror Solutions (CMS) manufacture low-noise, reflective optical components based on a patented coating technology.
Robotics research may help Parkinson's patients
For years, Israeli neurologist Tamar Flash has had a fascination with the octopus, and the way the invertebrate's eight arms propel it effortlessly through the water. She's convinced this has major implications for diagnosing and treating Parkinson's disease — and possible other disorders as well.
Giving robots a better feel for object manipulation
A new learning system improves robots' abilities to mold materials into target shapes and make predictions about interacting with solid objects and liquids. The system, known as a learning-based particle simulator, could give industrial robots a more refined touch — and it may have fun applications in personal robotics, such as modelling clay shapes or rolling sticky rice for sushi.
In robotic planning, physical simulators are models that capture how different materials respon