A new study investigated the impact of Airbnb's algorithm on racial disparities among Airbnb hosts. Adopting the tool narrowed the revenue gap between White and Black hosts considerably, but because far fewer Black hosts used the algorithm, the revenue gap between White and Black hosts actually increased after the tool's introduction.
Coded messages in invisible ink sound like something only found in espionage books, but in real life, they can have important security purposes. Yet, they can be cracked if their encryption is predictable. Now, researchers reporting in ACS Applied Materials & Interfaces have printed complexly encoded data with normal ink and a carbon nanoparticle-based invisible ink, requiring both UV light and a computer that has been taught the code to reveal the correct messages.
Reflexes protect our bodies - for example when we pull our hand back from a hot stove. These protective mechanisms could also be useful for robots. In this interview, Prof. Sami Haddadin and Johannes Kühn of the Munich School of Robotics and Machine Intelligence (MSRM) of the Technical University of Munich (TUM) explain why giving test subjects a "slap on the hand" could lay the foundations for the robots of the future.
Researchers at Singapore-MIT Alliance for Research and Technology (SMART) and Massachusetts Institute of Technology (MIT) conducted a case study in the first-mile mobility market from origins to subway stations in Tampines, Singapore, to find out the impact of competition between public transit and shared autonomous vehicles. The study revealed that with the right conditions, the competition can be beneficial for both parties and improve overall transport systems.
Consumers are less forgiving of brand failures when algorithms are anthropomorphized, use machine learning, or are used for subjective or interactive tasks.
To improve diagnosis for patients with complex metastatic cancers, especially those in low-resource settings, researchers from the Mahmood Lab at the Brigham and Women's Hospital developed an artificial intelligence (AI) system that uses routinely acquired histology slides to accurately find the origins of metastatic tumors while generating a "differential diagnosis," for cancer of unknown primary patients.
A universe evolves over billions upon billions of years, but researchers have developed a way to create a complex simulated universe in less than a day. The technique, published in this week's Proceedings of the National Academy of Sciences, brings together machine learning, high-performance computing and astrophysics and will help to usher in a new era of high-resolution cosmology simulations.
Using a bit of machine learning magic, astrophysicists can now simulate vast, complex universes in a thousandth of the time it takes with conventional methods. The new method upscales low-resolution models to generate 'super-resolution' simulations. The process is akin to taking a blurry photograph and adding the missing details back in, making it sharp and clear, the researchers report in Proceedings of the National Academy of Sciences.
Researchers at the U.S. Department of Energy's National Renewable Energy Laboratory (NREL) developed a breakthrough in energy-efficient phototransistors. Such devices could eventually help computers process visual information more like the human brain and be used as sensors in things like self-driving vehicles.
University of New Mexico Researchers Create Open Source Computational Tool to Rapidly Screen Molecules For COVID-Fighting Properties.