This could prove helpful. 😀
Design graduate Kukbong Kim has developed a paint made from demolished concrete that is capable of absorbing 20 per cent of its weight in carbon.
Called Celour, the paint can sequester 27 grams of CO2 for every 135 grams of paint used.
“That is the same amount of carbon dioxide that a normal tree absorbs per day,” Kim said.
Last week, Perseverance was finally ready to collect the first sample in its search for ancient Martian life. But something went awry.
AI is not a magic wand that will right all the world’s wrongs. But it can help businesses plan for problems in advance and respond to them appropriately if they happen.
Let’s face it, there’s been a really big boom in the yachting industry. While some people get poor, others are getting rich, nothing out of the ordinary really. What is extraordinary, on the other hand, is this solar, wind, and hydrogen powered superyacht design from Kurt’s best.
Researchers asked U.S. regulators to pull some sunscreens from the market, including brands such as Coppertone, Banana Boat and Neutrogena, saying they’ve found evidence of a potential carcinogen.
Scientists petitioned the Food and Drug Administration to remove from sale all sunscreens containing the active ingredient octocrylene. Products made with the chemical may contain benzophenone, a suspected carcinogen that also can interfere with key hormones and reproductive organs, according to a group led by Craig Downs, executive director of the nonprofit Haereticus Environmental Laboratory that studies risks to health and the environment.
Circa 2,018 o,.o.
This may be the reason experiments can’t agree on the neutron lifetime, according to a new idea.
We combined a machine learning algorithm with knowledge gleaned from hundreds of biological experiments to develop a technique that allows biomedical researchers to figure out the functions of the proteins that turn genes on and off in cells, called transcription factors. This knowledge could make it easier to develop drugs for a wide range of diseases.
Early on during the COVID-19 pandemic, scientists who worked out the genetic code of the RNA molecules of cells in the lungs and intestines found that only a small group of cells in these organs were most vulnerable to being infected by the SARS-CoV-2 virus. That allowed researchers to focus on blocking the virus’s ability to enter these cells. Our technique could make it easier for researchers to find this kind of information.
The biological knowledge we work with comes from this kind of RNA sequencing, which gives researchers a snapshot of the hundreds of thousands of RNA molecules in a cell as they are being translated into proteins. A widely praised machine learning tool, the Seurat analysis platform, has helped researchers all across the world discover new cell populations in healthy and diseased organs. This machine learning tool processes data from single-cell RNA sequencing without any information ahead of time about how these genes function and relate to each other.
A new study shows that artificial intelligence networks based on human brain connectivity can perform cognitive tasks efficiently.
By examining MRI data from a large Open Science repository, researchers reconstructed a brain connectivity pattern, and applied it to an artificial neural network (ANN). An ANN is a computing system consisting of multiple input and output units, much like the biological brain. A team of researchers from The Neuro (Montreal Neurological Institute-Hospital) and the Quebec Artificial Intelligence Institute trained the ANN to perform a cognitive memory task and observed how it worked to complete the assignment.
This is a unique approach in two ways. Previous work on brain connectivity, also known as connectomics, focused on describing brain organization, without looking at how it actually performs computations and functions. Secondly, traditional ANNs have arbitrary structures that do not reflect how real brain networks are organized. By integrating brain connectomics into the construction of ANN architectures, researchers hoped to both learn how the wiring of the brain supports specific cognitive skills, and to derive novel design principles for artificial networks.
