"In 2030 the world of data will probably look much like it does today, but we will have a more nuanced approach to how we live our digital lives, though the opportunities for true control will likely remain weak and the consent model may be broken beyond repair. "The love affair wi...
Bias-corrected, statistically downscaled climate data from 18 global climate models were used to drive a crop model (APSIM) to compare baseline scenarios (1961–2010) with predictions for 2030, 2060 and 2090. In general, increases in annual average temperature of 1°C and 2°C predicted for...
Overall Jules’ predictions are about par for someone who is up on current technology and has a fertile imagination. Certainly when you consider Jules was not an engineer or a scientist, and in fact had studied to be a lawyer and worked as a stockbroker, his guesses are not bad. It also...
indeed, the major factor impinging on the biosphere. Humanity is using Earth excessively both as source (for land cultivation and grazing, freshwater, wild fish, bushmeat, fossil fuels, wood products
experience in this niche. Data science and analytics predictions have been vetted for relevance and ability to add business value as well. These are the 31 best predictions from the dozens we received. We believe these are actionable and may impact a number of verticals, regions, and ...
The figure below (Fig. 10) shows a comparison between the power capacity of UAE in 2010, IRENA 2030 predictions and the proposed plan of 2030's Challenges in deploying renewable energy sources and recommendations Considering the limitations and the boundaries of this study, the scenario analyzed ...
'C3' Home Much research, empirical evidence and many peer reviewed studies are represented in the headlines below. Predictions by experts, pundits, politicians, journalists, bureaucrats and computer models have all proven to be simply awful. Although glo
Machine learning Protein structure predictions This article is cited by Improvements in viral gene annotation using large language models and soft alignments William L. Harrigan Barbra D. Ferrell Mahdi Belcaid BMC Bioinformatics (2024) Freeprotmap: waiting-free prediction method for protein distance ...
Machine learning is rapidly becoming a core technology for scientific computing, with numerous opportunities to advance the field of computational fluid dynamics. Here we highlight some of the areas of highest potential impact, including to accelerate direct numerical simulations, to improve turbulence cl...
For John Von Neumann (Rédei and Stöltzner, 2006), a model is a mathematical construct which, with the addition of some verbal interpretations, describes observed phenomena. Models permit us to make predictions and interpolate between points in the data, estimate circuit performance, without ...