Citadel is a global investment firm built around world-class talent, sound risk management, and innovative leading-edge technology. For a quarter of a century, Citadel's hedge funds have delivered meaningful and measurable results to top-tier investors around the world, including sovereign wealth funds, public institutions, corporate pensions, endowments and foundations. With an unparalleled ability to identify and execute on great ideas, Citadel's team of more than 675 investment professionals, operating from offices including Chicago, New York, San Francisco, London, Hong Kong and Shanghai, deploy capital across all major asset classes, in all major financial markets.
With a dish of cells as a canvas, Anne Carpenter's collaborators apply layers of color. Each one highlights a different cellular feature: A fluorescent blue dye to stain the nuclei. Orange to label the cell membranes. This approach, called "Cell Painting," uses six biological dyes to stain eight major cell structures. Together, they create not just beautiful images, but also a detailed portrait of the cells' size, shape or morphology, and--if you can read the signs--physiological state.
As of December 2019, there are more than 400 unicorns worldwide - that's according to the aptly named Global Unicorn Club report from CB Insights. A significant number of those, private companies valued at more than $1bn for the uninitiated, are firmly entrenched in the financial services sector. One such company is Lemonade. The New York-based business uses artificial intelligence, chatbots and other innovative technologies to disrupt the home and rental insurance sectors. It recently appeared in FinTech magazine's Top 10 Unicorns list, which provided a comprehensive snapshot of those most innovative companies to achieve this coveted status.
Tree-based machine learning models such as random forests, decision trees and gradient boosted trees are popular nonlinear predictive models, yet comparatively little attention has been paid to explaining their predictions. Here we improve the interpretability of tree-based models through three main contributions. We apply these tools to three medical machine learning problems and show how combining many high-quality local explanations allows us to represent global structure while retaining local faithfulness to the original model. These tools enable us to (1) identify high-magnitude but low-frequency nonlinear mortality risk factors in the US population, (2) highlight distinct population subgroups with shared risk characteristics, (3) identify nonlinear interaction effects among risk factors for chronic kidney disease and (4) monitor a machine learning model deployed in a hospital by identifying which features are degrading the model's performance over time. Given the popularity of tree-based machine learning models, these improvements to their interpretability have implications across a broad set of domains.
You've likely already encountered artificial intelligence several times today. But for most people, the term AI still conjures images of The Terminator. We don't need to worry about hulking armed robots terrorizing American cities, but there are serious ethical and societal issues we must confront quickly -- because the next wave of computing power is coming, with the potential to dramatically alter -- and improve -- the human experience. Full disclosure: I am general counsel and chair of the AI Ethics Working Group at a company that is bringing AI to processor technology in trillions of devices to make them smarter and more trustworthy. Enabled by high-speed wireless capacity and rapid advances in machine learning, new applications for artificial intelligence are created every day.
When science and technology meet social and economic systems, you tend to see something akin to what the late Stephen Jay Gould called "punctuated equilibrium" in his description of evolutionary biology. Something that has been stable for a long period is suddenly disrupted radically--and then settles into a new equilibrium.1 1.See Stephen Jay Gould, Punctuated Equilibrium, Cambridge, MA: Harvard University Press, 2007. Gould pointed out that fossil records show that species change does not advance gradually but often massively and disruptively. After the mass extinctions that have occurred several times across evolutionary eras, a minority of species survived and the voids in the ecosystem rapidly filled with massive speciation. Gould's theory addresses the discontinuity in fossil records that puzzled Charles Darwin.
Cities around the world are getting smarter. Already, street lights in places like San Diego are turning off, and conserving energy, when vehicles and pedestrians aren't around. Soon, connected garbage cans will tell waste haulers when they need to be emptied, optimizing collection routes. Smart buildings will notify maintenance staff of impending repair needs. And parking spots will find you, instead of the other way around.
A couple of years ago, Vladimir Putin warned Russians that the country that led in technologies using artificial intelligence will dominate the globe. He was right to be worried. Russia is now a minor player, and the race seems now to be mainly between the United States and China. But don't count out the European Union just yet; the EU is still a fifth of the world economy, and it has underappreciated strengths. Technological leadership will require big digital investments, rapid business process innovation, and efficient tax and transfer systems.
A Phoenix laboratory is trying to stop Alzheimer's disease by using artificial intelligence. Arizona has the fastest growing rate of Alzheimer's disease in the country. According to a 2018 report released by the Alzheimer's Association, in the next few years, the number of people living with the disease in Arizona is expected to increase by 43 percent. Sonora Quest Laboratories created the RestoreU Method, a program for people experiencing memory loss, cognitive impairment or dementia. The lab partnered with uMETHOD Health in North Carolina to identify and address underlying causes of cognitive decline tailored to each individual patient.
Alphabet, the tech giant formerly known as Google, on Thursday night became the fourth company in history to reach a trillion-dollar (£776bn) valuation. In less than 24 hours, some analysts were predicting that the company, founded in a messy Silicon Valley garage 21 years ago, could double in value again to become a $2tn firm "in the near future". The consensus among Wall Street bankers is nothing can stop the runaway share price rises of Alphabet or the other so-called "Faang" tech companies. Facebook, Amazon, Apple, Netflix and Google have seen their combined market value increase by $1.3tn over the past year – that's the equivalent of adding half the value of all the companies in the FTSE 100, or the entire GDP of Mexico. "It's such a phenomenally large number that it's difficult for most of us even to quantify the value," said Paul Lee, the global head of technology research at Deloitte.