In a study published in ACS Nano, a team of researchers led by Zhong Lin Wang at the Georgia Institute of Technology has developed a device that can harvest ocean waves in a very broad frequency range that encompasses almost all of the ocean wave energy spectrum, including the hard-to-reach low frequencies that are inaccessible to most harvesters. The device is a hybrid system that consists of two generators.

A combined team of researchers with members from several institutions in China and the Georgia Institute of Technology, has developed a flexible nanogenerator that harnesses the energy from moving body parts and uses it to run electronic devices. In their paper published in the journal Science Advances, the team describes their new device, how they made it bendable, and the ways they believe it might be used.

  With support from the Office of Naval Research (ONR), researchers at the Georgia Institute of Technology have created an AI software program named Quixote to teach robots to read stories, learn acceptable behaviour and understand successful ways to conduct themselves in diverse social situations.

Scientists from universities in the United States, China and Australia have addressed a problem that has long challenged scientists: Seeing the structures of three dimensional cells with comparable resolution in each dimension. Cells are normally grown on transparent glass slides for microscopy examination. The technique uses the unique properties of light to create interference patterns as light waves pass through a cell on the way to the m...

By increasing the level of a specific microRNA (miRNA) molecule, researchers have for the first time restored chemotherapy sensitivity in vitro to a line of human pancreatic cancer cells that had developed resistance to a common treatment drug. If the miRNA molecules can be delivered to cells in the human body - potentially with nanoparticles - the technique might one day be used to battle the chemotherapy resistance that often develops during ca...

A Georgia Institute of Technology research team has devised a novel way to help keep a driverless vehicle under control as it maneuvers at the edge of its handling limits. The approach could help make self-driving cars of the future safer under hazardous road conditions. Researchers from Georgia Tech's Daniel Guggenheim School of Aerospace Engineering (AE) and the School of Interactive Computing (IC) have assessed the technology by racing, slidin...

Phone calls and text messages reach you wherever you are because your phone has a unique identifying number that sets you apart from everybody else on the network. Researchers at the Georgia Institute of Technology are using a similar principle to track cells being sorted on microfluidic chips.

College of Computing Professor Ashok Goel teaches Knowledge Based Artificial Intelligence (KBAI) every semester. It’s a core requirement of Georgia Tech’s online master’s of science in computer science programme. And every time he offers it, Goel estimates, his 300 or so students post roughly 10,000 messages in the online forums - far too many enquiries for him and his eight Teaching Assistants (TAs) to handle.

Researchers have built and demonstrated a novel configurable computing device that uses a thousand times less electrical power – and can be built up to a hundred times smaller – than comparable digital floating-gate configurable devices currently in use. The new device, called the FPAA SoC, uses analog technology supported by digital components to achieve unprecedented power and size reductions.

Researchers are using the same principle to identify devices on electrical grid control networks, using their unique electronic "voices" - fingerprints produced by the devices' individual physical characteristics - to determine which signals are legitimate and which signals might be from attackers. A similar approach could also be used to protect networked industrial control systems in oil and gas refineries, manufacturing facilities, wastew...

Georgia Institute of Technology researchers have built a wearable robotic limb that allows drummers to play with three arms. The two-foot long "smart arm" can be attached to a musician's shoulder. It responds to human gestures and the music it hears. When the drummer moves to play the high hat cymbal, for example, the robotic arm maneuvers to play the ride cymbal. When the drummer switches to the snare, the mechanical arm shifts to the tom.

Ph.D. graduate Sehoon Ha and Professor Karen Liu from Georgia Tech have identified a way to teach robots how to fall with grace and without serious damage. As robots become increasingly commonplace in manufacturing alongside humans, as well as future demand for health care or domestic tasks, this is particularly important to prevent injury to humans the robot is interacting with.