Most recent macro trends - cloud compute, social, mobile, crypto, AI - that have reshaped the technology landscape are rooted in new technical capabilities or pushing the frontier of product form factors. Another shock to the system is emerging today, driven not by the underlying technology, but by an evolution in customer buying behavior. For shorthand, we think of this trend as "growth+sales": the bottom-up growth motion eventually layered with top-down sales.

Breeders have been working to develop new Miscanthus hybrids for years, but the clonal crop's sterility, complex genome, and long time to maturity make conventional breeding difficult. In a new study, University of Illinois researchers mine the crop's vast genomic potential in an effort to speed up the breeding process and maximize its most desirable traits.

This essay investigates detrimental thinking patterns about the future, termed futures fallacies. It is based on an analysis of the existing literature and personal observation. I define futures fallacies in three ways. First, as those thinking patterns that stand in direct contradiction to a truly desired longer-term future. Second, as thoughts and behaviours that are contrary to our best existing evidence, facts, and logic, of relevance to emerging futures. Third, as cognitive frames that ensure chosen strategies fail.

This article traces the travel of biometric data of Syrian refugees in Jordan through a hastily evolving political economy characterized by a pervasive craving for the extraction, storage and brokering of displacement data. It analyzes iris-enrollment as problematic acts of quasi-citizenship for the displaced requiring the performance of social and economic docility in order to attain identity, cash and service provision. Quasi-objects in the form of digital footprints are fashioned through infrastructures that simultaneously seek to model, yet fail to capture, socioeconomic existence in displacement contexts. Discourses of anti-fraud, donor dictates, upward accountability and strategies of financial inclusion of 'the unbanked', facilitate the marketization of the creation of data-doubles in laboratories of displacement and loopholes for externalization. Driven by increasingly blurred lines between technological, humanitarian and financial interests, this development has transformative effects on both those displaced, and on a humanitarian sector tasked with safeguarding their rights.

The model, called Deep Claim, predicts both when and how much an insurance company will pay for a given claim in advance of any payment they make. It was trained with three million de-identified claims including parameters like demographic information, diagnoses, treatments, and billed amounts. Using this information, Deep Claim can not only predict the date and amount of payments with reasonable certainty, but also the likeliest reasonings for any claim denial in play.

new study uses satellite data over the Southern Hemisphere to understand global cloud composition during the industrial revolution. This research tackles one of the largest uncertainties in today's climate models-the long-term effect of tiny atmospheric particles on climate change.

Dr. Sapan Desai, who supplied the data for two prominent and later retracted studies, is said to have a history of cutting corners and misrepresenting information in pursuit of his ambitions.

The differing immune system responses of patients with COVID-19 can help predict who will experience moderate and severe consequences of disease, according to a new study by Yale researchers published July 27 in the journal Nature.

Using known distances of 50 galaxies from Earth to refine calculations in Hubble's constant, a research team led by a University of Oregon astronomer estimates the age of the universe at 12.6 billion years.