To combat supply chain counterfeiting, which can cost companies billions of dollars annually, MIT researchers have invented a cryptographic ID tag that's small enough to fit on virtually any product and verify its authenticity.
Computational biologists at Carnegie Mellon University have taken an algorithm used to study social networks, such as Facebook communities, and adapted it to identify how DNA and proteins are interconnected into communities within the cell nucleus. The behavior of these communities may prove key to understanding basic cellular processes and disease mechanisms, such as aging and cancer development.
With some reports predicting the precision agriculture market will reach $12.9 billion by 2027, there is an increasing need to develop sophisticated data-analysis solutions that can guide management decisions in real time. A new study from an interdisciplinary research group at University of Illinois offers a promising approach to efficiently and accurately process precision ag data.
Using a machine-learning algorithm, MIT researchers have identified a powerful new antibiotic compound. In laboratory tests, the drug killed many of the world's most problematic disease-causing bacteria, including some strains that are resistant to all known antibiotics. It also cleared infections in two different mouse models.
A Rice University electrical and computer engineer has introduced the first neural implant that can be programmed and charged remotely with a magnetic field.
The researchers tricked photons - which are intrinsically non-magnetic - into behaving like charged electrons. They accomplished this by sending the photons through carefully designed mazes in a way that caused the light particles to behave as if they were being acted upon by what the scientists called a "synthetic" or "artificial" magnetic field.
New machine learning method from Stanford, with Toyota and MIT researchers, has slashed battery testing times -- a key barrier to longer-lasting, faster-charging batteries for electric vehicles -- by nearly fifteenfold.
Perennial grasses can be converted into everything from ethanol to bioplastics, but it's unclear which bioproducts hold the greatest potential. BioSTEAM, a new open-source simulation software package in Python developed by researchers at the University of Illinois at Urbana-Champaign, gives scientists, engineers, biotechnology companies, and funding agencies a fast, flexible tool to analyze the economics of producing different biofuels and bioproducts -- in a matter of seconds.
Data and the economy stemming from them are the engine for the fourth industrial revolution. However, and according to Nikolaos Laoutaris, there is a very important leading player who currently receives absolutely nothing of the huge profits generated by the activity: the people who provide these data. Only in a very few cases do the humans producing data receive a measly compensation in kind for it: free online services.
A Purdue University team developed technology to use mixed-signal circuits to embed critical information that is suppressed at a lower level.