Sandia National Laboratories robotics experts are working on a way to intercept enemy unmanned aircraft systems midflight. They successfully tested their concept indoors with a swarm of four unmanned aircraft systems that flew in unison, each carrying one corner of a net. Acting as a team, they intercepted the flying target, trapped it in air…
Applied AI technology makes its mark on national suicide monitoring system
A joint project between Monash University and Eastern Health’s Turning Point, are using Artificial Intelligence (AI) to streamline the coding of national suicide-related ambulance data to help paramedics respond more effectively and ultimately prevent potential suicide rates. Ambulances are often the first point of contact in a crisis, making ambulance clinical records a unique data…
How to invest for a decade of technological change in biopharma
Predicting the future is hard – predicting the future of technology is even harder. In the last 10 years, everything from entertainment to travel has been upended by the likes of Airbnb, Spotify, and Instagram – none of which even existed a decade ago – while Netflix was still delivering DVDs by mail. Now, as…
“Sensorized” skin helps soft robots find their bearings
For the first time, MIT researchers have enabled a soft robotic arm to understand its configuration in 3D space, by leveraging only motion and position data from its own “sensorized” skin. Soft robots constructed from highly compliant materials, similar to those found in living organisms, are being championed as safer, and more adaptable, resilient, and…
Deep learning accurately forecasts heat waves, cold spells
Rice University engineers have created a deep learning computer system that taught itself to accurately predict extreme weather events, like heat waves, up to five days in advance using minimal information about current weather conditions. Ironically, Rice’s self-learning “capsule neural network” uses an analog method of weather forecasting that computers made obsolete in the 1950s.…
Using artificial intelligence to enrich digital maps
A model invented by researchers at MIT and Qatar Computing Research Institute (QCRI) that uses satellite imagery to tag road features in digital maps could help improve GPS navigation. Showing drivers more details about their routes can often help them navigate in unfamiliar locations. Lane counts, for instance, can enable a GPS system to warn…
New AI model tries to synthesize patient data like doctors do
Artificial intelligence will never replace a doctor. However, researchers at the Department of Energy’s Pacific Northwest National Laboratory have taken a big step toward the day when AI can help physicians predict medical events. A new approach developed by PNNL scientists improves the accuracy of patient diagnosis up to 20 percent when compared to other…
Chameleon’s tongue strike inspires fast-acting robots that catch live insects in the blink of an eye
Chameleons, salamanders and many toads use stored elastic energy to launch their sticky tongues at unsuspecting insects located up to one-and-a-half body lengths away, catching them within a tenth of a second. Ramses Martinez, an assistant professor in Purdue’s School of Industrial Engineering and in the Weldon School of Biomedical Engineering in Purdue University’s College…
Watch your ghost teach a robot how to tag-team
When Tesla failed to hit weekly production targets in the first quarter of 2018, chief executive Elon Musk blamed it on “excessive automation.” The robots were slowing things down and “underrated” humans could do better. Musk resorted to pulling all-nighters and sleeping at the factory so that customer deliveries wouldn’t be further delayed. For those…
New Framework Makes AI Systems More Transparent Without Sacrificing Performance
Researchers are proposing a framework that would allow users to understand the rationale behind artificial intelligence (AI) decisions. The work is significant, given the push to move away from “black box” AI systems – particularly in sectors, such as military and law enforcement, where there is a need to justify decisions. “One thing that sets…
New Algorithm Helps Robots and Humans Work in the Same Space
AI Software Reveals the Inner Workings of Short-term Memory
Using a Deep Learning System to Identify Brain Aneurysms
Machine Learning for Sensors
Today microcontrollers can be found in almost any technical device, from washing machines to blood pressure meters and wearables. Researchers at the Fraunhofer Institute for Microelectronic Circuits and Systems IMS have developed AIfES, an artificial intelligence (AI) concept for microcontrollers and sensors that contains a completely configurable artificial neural network. AIfES is a platform-independent machine…
‘Slothbot’ Takes a Leisurely Approach to Environmental Monitoring
For environmental monitoring, precision agriculture, infrastructure maintenance and certain security applications, slow and energy efficient can be better than fast and always needing a recharge. That’s where “SlothBot” comes in. Powered by a pair of photovoltaic panels and designed to linger in the forest canopy continuously for months, SlothBot moves only when it must to…
AI Helps Researchers Discover the Hidden Secrets of the Ocean Floor
Researchers are hoping to utilize new deep learning techniques coupled with robotics to learn more about the animals that inhabit the seafloor miles upon miles under the surface. A team from the University of Plymouth are testing how a computer vision (CV) system could accurately identify several animals from images taken on the seabed using…
Shape-Shifting Robots Show Promise as Drug-Delivery System
New Framework Improves Performance of Deep Neural Networks
North Carolina State University researchers have developed a new framework for building deep neural networks via grammar-guided network generators. In experimental testing, the new networks—called AOGNets—have outperformed existing state-of-the-art frameworks, including the widely-used ResNet and DenseNet systems, in visual recognition tasks. “AOGNets have better prediction accuracy than any of the networks we’ve compared it to,”…
Discovering Unusual Structures From Exception Using Big Data and Machine Learning Techniques
Machine learning (ML) has found wide application in materials science. It is believed that a model developed by ML could depict the common trend of the data and therefore reflect the relationship between structure and property, which can be applied to most of the compounds. So, by training ML models with existed databases, important properties…
Artificial Intelligence Tool Vastly Scales Up Alzheimer’s Research
R&D Special Focus: AI and Robotics
New Deep Learning Model Finds Subtle Precursors in Mammograms to Predict Breast Cancer Risk
Artificial intelligence (AI) could help doctors predict breast cancer risk earlier and tailor care options to individual patients based on risk. Researchers from the Massachusetts Institute of Technology’s (MIT) Computer Science and Artificial Intelligence Laboratory (CSAIL) have developed a new technique using a deep-learning model that predicts if a patient is likely to develop breast…
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. For most organizations and individuals, though, deep learning is tough to break into. To learn well, neural networks normally have to be quite large and need massive datasets. This training process usually…
Researchers Work to Incorporate AI into Hypersonic Weapon Technology
A research collaboration led by researchers from the U.S. Department of Energy’s Sandia National Laboratories is hoping to implement artificial intelligence (AI) to enhance the capabilities to hypersonic vehicles like long-range missiles. Along with researchers from Sandia, several universities have signed on to form Autonomy New Mexico, an organization patterned on the U.S. Department of Defense,…
