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Data science

Data science

Interdisciplinary field about processes and systems to extract knowledge or insights from data

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July 22, 2021
Blackstone (NYSE:BX) announced that private equity funds managed by Blackstone ("Blackstone") have entered into a definitive agreement to acquire a controlling stake in Simplilearn Solutions Pvt. Ltd., a leading online learning 'bootcamp' based in India offering digital skills training and courses to working professionals all over the world. Simplilearn was founded in 2010 by its Chief Executive Officer Krishna Kumar. Profitable for the fourth year in a row, the platform offers over 100...
Omar Faridi
June 20, 2021
Crowdfund Insider
OceanDAO launches 7th round of grants, valued at $200K, for Data Science, Developer, AI Research Projects.
Data Science for Everyone
June 14, 2021
/PRNewswire/ -- A cross-sector group of individuals and organizations from education, business, philanthropy and technology today announced a new coalition to...
UVA's Darden School of Business
June 10, 2021
/PRNewswire/ -- Darden Executive Education & Lifelong Learning (EELL) has announced its fall schedule of programs, offering a mix of in-person, live virtual,...
Alex Keown
April 16, 2021
Biopharma and life sciences companies strengthen their leadership teams and boards with these Movers & Shakers.
Spezio, M.
April 16, 2021
Kate Crawford's new book, Atlas of AI , is a sweeping view of artificial intelligence (AI) that frames the technology as a collection of empires, decisions, and actions that together are fast eliminating possibilities of sustainable futures on a global scale. Crawford, a senior principal researcher at Microsoft's FATE (Fairness, Accountability, Transparency, and Ethics in AI) group, conceives of AI as a one-word encapsulation of imperial design, akin to Calder Willingham's invocation of the word "plastics" in his 1967 screenplay for The Graduate ([ 1 ][1]). AI, machine learning, and other concepts are here understood as efforts, practices, and embodied material manipulations of the levers of global power. By taking power and materiality seriously and leaving aside questions of what intelligence is, Crawford maps answers to how AI is made and how we are trapped by its making. The primary thesis of her book is that AI has nothing to do with understanding or seeking intelligence but is a "registry of power," a metaphor meant to encompass social, political, and economic power as well as the insatiable demands AI places on electric power grids and on nonhuman nature. Why an "atlas" of AI? Because those in control of AI have a desire for AI "to be the atlas--the dominant way of seeing," to be the single way in which humans understand and run the world. Crawford's anticolonial manual advances an alternative mapping, one that resists AI's extractive, exploitative, and destructive aims. To comprehend Crawford's argument is to understand that AI's danger lies not in a hypothetical future superintelligence but in the reality of its current manifestation. The book begins with a stark chapter (titled "Earth") on the destructive power of lithium and rare earth element mining that provides the raw materials that underlie artificial processing power. In "Labor," a visit to an Amazon fulfillment center in New Jersey inspires reflection on the crushing effects of the "logics of production" that undergird just-in-time synchronization of humans by machines and their builder-owners. In "Data" and "Classification"--two of her most effective chapters--Crawford traces the pragmatics of predictive analytics, which she argues are rooted in promises of beneficence without attention to nonmaleficence. Here, she describes how AI constructs digital gates that lock us into data cages fixed to a mismeasured atlas over which we have no consent or other control. She offers as an example UTKFace, a database of facial images scraped from the internet that uses restrictive gender binary and ethnic identity classification schemes ("an integer from 0 to 4, denoting White, Black, Asian, Indian, and Others") without attempting to contact the persons in the dataset to ask for their consent or providing them with the opportunity to articulate their own gender and ethnic identities ([ 2 ][2]). In "Affect," Crawford applies the lessons of the previous two chapters to highlight the dangers of automating human emotion detection. She effectively strikes down the notion that machine classification of human emotion in policing, security, law, hiring, education, and psychiatric medicine will be bias-free, given its existing track record of othering persons from already marginalized communities. Crawford's final chapter ("State") describes the US Department of Defense's Project Maven, an initiative in which a weaponized AI would be used to expand the scope of drones. Google, the project's first host, tried to keep its work on the project secret, but when the company's employees found out, more than 3000 signed a letter expressing ethical concerns about the company's involvement in such a program. After Google did not renew the initial contract, Project Maven moved to Palantir, a start-up whose funding was partially derived from a CIA-affiliated venture capital group. Crawford shows how Palantir's business model has already made its way into domestic deportation efforts, local policing, and supermarket chains, arguing that the imminent threat of weaponized AI must supersede nagging worries about automated weaponry. With Atlas of AI , Crawford has written a timely and urgent contribution to the interdisciplinary projects seeking to humanize data science practice and policy. One might reasonably object to her view that "we must focus less on ethics and more on power" or push back against her recurrent use of "myth" and "mythologies" to mean "falsehood" and "lies," yet such qualms in no way diminish the value of this book. 1. [↵][3]1. C. Willingham , The Graduate screenplay, [][4]; [][5]. 2. [↵][6]UTKFace, Large-Scale Face Dataset; . [1]: #ref-1 [2]: #ref-2 [3]: #xref-ref-1-1 "View reference 1 in text" [4]: [5]: [6]: #xref-ref-2-1 "View reference 2 in text"
Correlation One
April 8, 2021
/PRNewswire/ -- Miami Dade College (MDC) announced today a partnership with SoftBank and Correlation One that offers students a new path to pursue career...
March 4, 2021
/PRNewswire/ -- SAS is recognized as a Leader in 2021 Gartner Magic Quadrant for Data Science and Machine Learning Platforms.1 This is the eighth consecutive...
MGIC Investment Corporation
January 27, 2021
/PRNewswire/ -- Mortgage Guaranty Insurance Corporation (MGIC), the principal subsidiary of MGIC Investment Corporation (NYSE: MTG), today announced the...
Hyperlink InfoSystem
December 15, 2020
/PRNewswire/ -- South Africa is one of the most beautiful countries of Africa, with beaches and adventure, and is one the largest Information & Communications...
Hyperlink InfoSystem
December 4, 2020
/PRNewswire/ -- The States is the largest tech market globally, accounting for 33% of the total, or $6.1 trillion for 2021. Of the 20 biggest tech giants, over...
Hyperlink Infosystem
December 4, 2020
/PRNewswire/ -- Saudi Arabia is immensely progressing in the IT field and is expected to grow by $6.4 billion by the end of 2020-2024, increasing at a 9% CAGR...
Connie Chen
December 3, 2020
Business Insider
Harvard's online Data Science Professional Certificate Program (on edX) is an affordable, fairly quick way to jump into a data scientist career.
Science X staff
December 3, 2020
Hypersonic flight is conventionally referred to as the ability to fly at speeds significantly faster than the speed of sound and presents an extraordinary set of technical challenges. As an example, when a space capsule re-enters Earth's atmosphere, it reaches hypersonic speeds--more than five times the speed of sound--and generates temperatures over 4,000 degrees Fahrenheit on its exterior surface. Designing a thermal protection system to keep astronauts and cargo safe requires an understanding at the molecular level of the complicated physics going on in the gas that flows around the vehicle.
Kin + Carta
December 1, 2020
/PRNewswire/ -- Today, Kin + Carta (KTC), the global digital transformation consultancy, announced the appointment of Cameron Royce Turner as its new Vice...
November 26, 2020
Recognized data science expert, statistician, and author Dr. Kobi Abayomi has joined Warner Music Group (WMG) as SVP, Data Science and Analytics. In this newly created role, he will lead analytics globally across WMG, driving valuable business insights through which the company can measure and maximize success for its artists and songwriters. Dr. Abayomi will be based in New York and report to Oana Ruxandra, EVP, Business Development and Chief Digital Officer. "Kobi is a brilliant author,...
May 14, 2020
Duality Technologies, a leading provider of Privacy-Enhancing Technologies (PETs), announced today the publication of an article in PNAS (Proceedings of the National Academy of Sciences of the United States of America), on Secure large-scale genome-wide association studies using homomorphic encryption.
Tom Jackson
May 7, 2020
Disrupt Africa
South African startup The Gradient Boost has launched an online mentor-guided data science school to accelerate learning processes.
Brand Post
January 30, 2020
A cloud data council is essential to maximizing the benefits of cloud data services while minimizing risk and cost
Microsoft Corp.
April 16, 2019
Microsoft verschreibt sich aufgrund von Informationen aus einer neuen Forschung von PwC UK, die zeigt, dass KI dazu in der Lage ist, das BIP um bis zu 4,4 %...
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