Rice University statistician Genevera Allen is cautioning fellow scientists at the 2019 AAAS Annual Meeting in Washington, D.C., not to make assumptions about the accuracy, uncertainty or reproducibility of scientific discoveries made with today's machine learning models.
Organic semiconductors are lightweight, flexible and easy to manufacture. But they often fail to meet expectations regarding efficiency and stability. Researchers at the Technical University of Munich (TUM) are now deploying data mining approaches to identify promising organic compounds for the electronics of the future.
At the southern tip of the Himalayas, farmers in the Kangra region of India's Himachal Pradesh graze cattle among rolling hills and forests. The forests, under management by the state or farmer cooperatives, are thriving. But a new University of Illinois study shows, unlike state-managed forests, farmer cooperatives directly benefit both forest health and farmers.
Researchers have developed a new AI-driven platform that can analyze how pathogens infect our cells with the precision of a trained biologist.
Sustainable heating, ventilation, and air conditioning systems, such as those that harness low-enthalpy geothermal energy, are needed to reduce collective energy use and mitigate the continued effects of a warming climate. In a paper publishing on Feb. 12 in the SIAM Journal on Applied Mathematics, Miguel Hermanns and Santiago Ibáñez use asymptotic expansion techniques to study the harmonic thermal response of vertical geothermal boreholes in such systems to sub-annual harmonic excitations.
Termite construction projects have no architects, engineers or foremen, and yet these centimeter-sized insects build complex, meter-sized structures all over the world. Harvard researchers demonstrate how simple rules linking environmental physics and animal behavior can give rise to these structures. Their research sheds lights on broader questions of swarm intelligence and may serve as inspiration for designing more sustainable human architecture.
Researchers at the US CCDC Army Research Laboratory, the Army's corporate research laboratory (ARL) in collaboration with the Army's Institute for Creative Technologies and Northeastern University published a paper today in the Proceedings of the National Academy of Sciences suggesting the use of autonomous machines increases cooperation among individuals.
Harvard researchers have developed a framework that explains how bees use environmental signals to collectively cluster and continuously ventilate the hive.
The so-called Abelian sandpile model has been studied by scientists for more than 30 years. Even though the sandpile model serves as the archetypical model to study self-organized criticality, questions about its characteristics are still open and remain an active field of research. Researchers at IST Austria have now discovered a new property of this mathematical model: they managed to induce dynamics in the self-similar fractal patterns reminiscent of sand dunes in the desert.
Consumer brands have long used old-fashioned focus groups, interviews and surveys to best gauge consumer wants, desires and needs as part of processes that range from product development, to marketing and sales. As machine learning and artificial intelligence (AI) have emerged, there is an increasing interest in the ability to harness these solutions to save time and money, and to yield more reliable consumer insights.