Egyptian Cinema, Unionized Google, Linda Djougang, More: Tuesday ResearchBuzz, December 31, 2019

This is the only issue today and the last part of teary 2019 will be tomorrow; something’s come up. I’ve been struggling hard over the last couple of months this is par for the course. Wishing you happy, healthy, safe 2020.


The National: Egypt’s golden age of cinema: hundreds of rare photos come to Abu Dhabi . “More than 600 never-before-seen photographs from Egyptian cinema have been released online by Akkasah, the Centre for Photography at NYU Abu Dhabi. The collection of photographs and negatives belonging to Samir Farid, a prominent Egyptian writer, scholar, and leading film critic, was donated to the centre. It features a wide range of negatives taken on sets of various Egyptian films, from publicity shots, to candid pictures of cast and crew, and images captured while filming behind the scenes.”


Recode: Thousands of Google’s cafeteria workers have unionized. “Around 2,300 cafeteria workers who work at dozens of Google campuses in the Bay Area, including the search giant’s main headquarters in Mountain View, have unionized. The workers — who include dishwashers and food preparers who serve breakfast, lunch, and dinner for Google employees — voted last month to form a union after a campaign that’s been two years in the making, according to a source involved in the campaign.”


BBC Sport: Harlequins Women v Leinster Women: Linda Djougang’s amazing journey to Twickenham. “Four years ago, Linda Djougang typed the words ‘what is rugby?’ into YouTube. Now, she is preparing to play at Twickenham – one of the sport’s biggest stadiums – for the first time.”

Analytics India: Top Chatbots, Assistants & Facial Recognition Tools Launched In 2019. “Chatbots have emerged as the preferred interface as more and more searches are shifting from text to voice. While globally, banking bots have moved beyond answering transactional queries to full-service mode, the Indian BFSI sector bound by regulatory norms is still in an evolving stage. They are now moving to full-fledged virtual assistant mode, thanks to artificial intelligence and machine learning.”

CTech: Breathing Life Into Yesterday’s News. “The digitization of the archive of the Israel Broadcasting Authority, one of the world’s largest digitization projects to date, is currently underway in a former Jerusalem brothel.”


CNET: Wyze data leak may have exposed personal data of millions of users. “Security camera startup Wyze has confirmed it suffered a data leak this month that may have left the personal information of millions of its customers exposed on the internet. No passwords or financial information were exposed, but email addresses, Wi-Fi network IDs and body metrics were left unprotected from Dec. 4 through Dec. 26, the company said Friday.”

CX Tech: Baidu Escalates Legal Battle with Bytedance Over Search Results. “The ongoing legal spat between Chinese tech giants Baidu and Bytedance has taken a new turn after the former company filed a fresh lawsuit against the latter for unfair competition.”

Los Angeles Times: ‘Fake news’ has killed Nigerians. Can a bill stop the violence?. “Authorities say the rapid spread of misleading information has taken lives. But some fear the proposed cure would mostly be a pretext to stifle dissent.”


Ars Technica: How AI helps unlock the secrets of Old Master and modernist paintings . “X-rays are a well-established tool to help analyze and restore valuable paintings because the rays’ higher frequency means they pass right through paintings without harming them. X-ray imaging can reveal anything that has been painted over a canvas or where the artist may have altered his (or her) original vision. But the technique has its limitations, and that’s where machine learning can prove useful. Two papers this fall illustrated the use of AI to solve specific problems in art analysis and conservation: one to reconstruct an underpainting in greater detail, and the other to make it easier to image two-sided painted panels.”

Towards Data Science: Mount Mid-Life-Crisis. “Using data science to gain new insights from the Himalayan Database. Who is summitting Mount Everest?”

Phys .org: Using deep learning to predict disease-associated mutations. “A research team led by Professor Hongzhe Sun from the Department of Chemistry at the University of Hong Kong (HKU), in collaboration with Professor Junwen Wang from Mayo Clinic, Arizona in the United States (a former HKU colleague), implemented a robust deep learning approach to predict disease-associated mutations of the metal-binding sites in a protein.” Good afternoon, Internet…

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