Page 15 - Algorithms Models News Today

 E-Mail IMAGE: A major roadblock to computational design of high-entropy alloys has been removed, according to scientists at Iowa State University and Lehigh University. Engineers from the Ames Lab and Lehigh Universitys... view more  Credit: Ames Laboratory, U.S. Department of Energy A major roadblock to computational design of high-entropy alloys has been removed, according to scientists at Iowa State University and Lehigh University. Engineers from the Ames Lab and Lehigh Universit...

 E-Mail Credit: Delaneau Group Thousands of genetic markers have already been robustly associated with complex human traits, such as Alzheimers disease, cancer, obesity, or height. To discover these associations, researchers need to compare the genomes of many individuals at millions of genetic locations or markers, and therefore require cost-effective genotyping technologies. A new statistical method, developed by Olivier Delaneaus group at the SIB Swiss Institute of Bioinformatics and the Un...

 E-Mail Irvine, Calif., Jan. 5, 2021 -- Scientists at the University of California, Irvine have developed a new deep-learning framework that predicts gene regulation at the single-cell level. Deep learning, a family of machine-learning methods based on artificial neural networks, has revolutionized applications such as image interpretation, natural language processing and autonomous driving. In a study published recently in Science Advances, UCI researchers describe how the technique can also...

 E-Mail IMAGE: When one rotor fails, the drone begins to spin on itself like a ballerina. (Image: UZH) view more  Credit: UZH As anxious passengers are often reassured, commercial aircrafts can easily continue to fly even if one of the engines stops working. But for drones with four propellers - also known as quadcopters - the failure of one motor is a bigger problem. With only three rotors working, the drone loses stability and inevitably crashes unless an emergency control strategy ...

 E-Mail IMAGE: The red nodes denote the influencers chosen by their model. The model tends to choose influencers with relatively larger number of connections and also those belonging to different sub-components of... view more  Credit: SUTD If you were an owner of a newly set-up company, you would most likely be focused on building brand awareness to reach out to as many people as possible. But how can you do so with budget constraints? These days, businesses have turned to a select g...

Machine learning can be an effective tool to set competitive prices. Artificial intelligence has its limits on how to set the most effective prices due to variables beyond the sellers control. Over the long term, supracompetitive pricing can result. CATONSVILLE, MD, January 12, 2021 - Machine learning and artificial intelligence (AI) are perfectly suited to help companies and marketers monitor and set prices based on real-time dynamic pricing. But new research has identified some possible unint...

 E-Mail Scientists have determined the optimal conditions following a stem cell transplant that could control HIV without the need of an everyday pill, according to a study published today in eLife. Finding the right balance of stem cell dose, cell type and timing of antiretroviral therapy (ART) could potentially lead to a spontaneous cure of HIV. There are only two cases of HIV cure to date: the Berlin Patient and the London Patient, who both received stem cell transplants with stem cells fr...

 E-Mail We are fascinated by machines that can control cars, compose symphonies, or defeat people at chess, Go, or Jeopardy! While more progress is being made all the time in Artificial Intelligence (AI), some scientists and philosophers warn of the dangers of an uncontrollable superintelligent AI. Using theoretical calculations, an international team of researchers, including scientists from the Center for Humans and Machines at the Max Planck Institute for Human Development, shows that it wo...

Loading video... VIDEO: KAUST researchers are applying computer simulations to model ferrofluid behavior with the goal of developing an efficient and accurate algorithm to simulate the macroscopic shapes and dynamic movement of ferrofluids. view more  Credit: 2021 KAUST; Anastasia Serin. The spiky structure that erupts from the smooth surface of a ferrofluid when a magnet is brought close can be predicted more accurately than previously thought. KAUST researchers have shown that computat...