Deep learning identifies cancer cells in blood in milliseconds
Researchers have developed an artificial intelligence-powered device that detects cancer cells in a few milliseconds — hundreds of times faster than previous methods. With that speed, the invention could make it possible to extract cancer cells from blood immediately after they are detected, which could in turn help prevent the disease from spreading in the body.
$1.5 million grant for environmentally friendly 3D printed concrete
A team of engineers has received a $1.5 million grant from the National Science Foundation to develop 3D-printed concrete that incorporates carbon dioxide, a greenhouse gas, as part of a binder.
Plant wearable patches detect diseases
Researchers have developed a new technique that uses microneedle patches to collect DNA from plant tissues in one minute, rather than the hours needed for conventional techniques. DNA extraction is the first step in identifying plant diseases, and the new method holds promise for the development of on-site plant disease detection tools.
Solar cells (like people!) work better with caffeine
Scientists have found that caffeine improves the stability of materials under heat - a property known as thermal stability — of perovskite solar cells, which could someday replace traditional silicon-based solar cells.
Scientific device creates electricity from snowfall
Researchers have designed a new device that creates electricity from falling snow. The first of its kind, this device is inexpensive, small, thin and flexible like a sheet of plastic.
Keeping high-risk workers safer
Researchers have created a motion-powered, fireproof sensor that can track the movements of firefighters, steelworkers, miners and others who work in high-risk environments where they cannot always be seen.
Can artificial intelligence tell a polar bear from a can opener?
How smart is the form of artificial intelligence known as deep learning computer networks, and how closely do these machines mimic the human brain? They have improved greatly in recent years, but still have a long way to go, a team of cognitive psychologists reports.
AI mimics how humans visualize and identify objects
Engineers have demonstrated a computer system that can discover and identify the real-world objects it "sees" based on the same method of visual learning that humans use.
Dual-layer solar cell sets record
Materials scientists have developed a highly efficient thin-film solar cell that generates more energy from sunlight than typical solar panels, thanks to its double-layer design.
AI device identifies objects at the speed of light
A team of electrical and computer engineers has created a physical artificial neural network -- a device modeled on how the human brain works -- that can analyze large volumes of data and identify objects at the actual speed of light. The device was created using a 3D printer.
3D Bioprinting - An Update from Q2 2018
The past 3 months has been busy for 3D bioprinting companies, with numerous publications emerging from academia and announcements from industry. This article will highlight the advancements made in 3D bioprinting in the last 3 months since the publication of the 2018 update of IDTechEx's market research report on the topic: 3D Bioprinting 2018 - 2028: Technologies, Markets, Forecasts.
Biomaterial helps regrow brain tissue after stroke in mice
New stroke-healing gel helped regrow neurons and blood vessels in mice with stroke-damaged brains, hinting at what may someday be a new therapy for stroke in people.
3D printer that can create complex biological tissues
A bioengineer has developed a technique that uses a specially adapted 3D printer to build therapeutic biomaterials from multiple materials. The advance could be a step toward on-demand printing of complex artificial tissues for use in transplants and other surgeries.
Deep learning - smartphone microscopes into laboratory-grade devices
Researchers at the UCLA Samueli School of Engineering have demonstrated that deep learning can discern and enhance microscopic details in photos taken by smartphones. The technique improves the resolution and color details of smartphone images so much that they approach the quality of images from laboratory-grade microscopes.