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 seller s 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 unintended consequences of AI in this area.
Machine learning algorithms don t always account for factors outside of the seller s control, such as competitor prices. Researchers found that if AI algorithms are setting prices over the long term, a monopolistic price effect is possible, essentially creating a collusive pricing environment in the marketplace. This represents a challenge for policymakers as the researchers show that independent AI pricing algorithms can result in supracompetitive
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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 from donors that lack a molecule called CCR5, which HIV is attracted to. The major obstacle to HIV eradication is a latent reservoir of long-lived infected cells, and cure strategies aim to eliminate all infected cells or permanently prevent viral reactivation from latency, explains first author E. Fabian Cardozo-Ojeda, Senior Staff Scientist at the Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, US. We wanted to recreate the cures seen in the Ber
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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 would not be possible to control a superintelligent AI. The study was published in the
Journal of Artificial Intelligence Research.
Suppose someone were to program an AI system with intelligence superior to that of humans, so it could learn independently. Connected to the Internet, the AI may have access to all the data of humanity. It could replace all existing programs and take control all machines online worldwide. Would this produce a utopia or a dystopia? Would the AI cure cancer, bring
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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 computational algorithms can calculate the ferrofluid s bristling response to a magnet by simulating only the liquid s surface layer.
Ferrofluids are liquid suspensions of iron-based particles that behave like a regular fluid, but once a magnet is present, the ferrofluid rapidly shape-shifts to form spikes that align with the magnetic field. Originally developed by NASA, ferrofluids have numerous uses ranging from advanced electronics to nanomedicine and have the potential for even broader use, if t