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Infections and Infectious Diseases


AI is watching: What to know about workplace surveillance

#artificialintelligence

BRUSSELS, June 23 (Thomson Reuters Foundation) – From Swedish retailer H&M being fined 35 million euros ($42 million) for recording employees' private data to Britain's Barclays bank accused of spying on its staff, workplace surveillance has come into the spotlight in recent months. On Wednesday, the European Trade Union Institute (ETUI), the European Trade Union Confederation's research arm, said planned regulation by the European Union (EU) to improve privacy does not do enough to stop companies from snooping on their workers in the name of security and efficiency. As artificial intelligence (AI) technology becomes ever more accessible and sophisticated, here's why unions are worried: What kind of surveillance are we talking about? Employee monitoring today can involve software programmes for live monitoring, streaming and recording more than a dozen employees' computer screens at a time. Keystrokes, chat programmes, instant messaging and Skype dialogues may also be monitored and recorded in real time.


AI is watching: What to know about workplace surveillance

#artificialintelligence

FROM Swedish retailer H&M being fined 35 million euros ($42 million) for recording employees' private data to Britain's Barclays bank accused of spying on its staff, workplace surveillance has come into the spotlight in recent months. On Wednesday, the European Trade Union Institute (ETUI), the European Trade Union Confederation's research arm, said planned regulation by the European Union (EU) to improve privacy does not do enough to stop companies from snooping on their workers in the name of security and efficiency. As artificial intelligence (AI) technology becomes ever more accessible and sophisticated, here's why unions are worried: What kind of surveillance are we talking about? Employee monitoring today can involve software programmes for live monitoring, streaming and recording more than a dozen employees' computer screens at a time. Keystrokes, chat programmes, instant messaging and Skype dialogues may also be monitored and recorded in real time.


DeepMind wants to use its AI to cure neglected diseases

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In November 2020, Alphabet-owned AI firm DeepMind announced that it had cracked one of biology's trickiest problems. For years the company had been working on an AI called AlphaFold that could predict the structure of proteins – a challenge that could prove pivotal for developing drugs and vaccines, and understanding diseases. When the results of the biennial protein-predicting challenge CASP were announced at the end of 2020, it was immediately clear that AlphaFold had swept the floor with the competition. John Moult, a computational biologist at the University of Maryland who co-founded the CASP competition, was both astonished and excited at AlphaFold's potential. "It was the first time a serious scientific problem had been solved by AI," he says.


Voice-Based Screening For SARS-CoV-2 Exposure In Cardiovascular Clinics

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Artificial intelligence (A.I) driven voice-based assistants may facilitate data capture in clinical care and trials; however, the feasibility and accuracy of using such devices in a healthcare environment are unknown. We explored the feasibility of using the Amazon Alexa ('Alexa') A.I. voice-assistant to screen for risk-factors or symptoms relating to SARS-CoV-2 exposure in quaternary care cardiovascular clinics. We enrolled participants to be screened for signs and symptoms of SARS-CoV-2 exposure by a healthcare provider and then subsequently by the Alexa. Our primary outcome was interrater reliability of Alexa to healthcare provider screening using Cohen's Kappa statistic. Participants rated the Alexa in a post-study survey (scale of 1 to 5 with 5 reflecting strongly agree).


Will Artificial Intelligence Robots Do the Majority of Our Work in the Coming Decade?

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Artificial intelligence robots are slowly replacing blue collar and white collar workers. Go to the trading floors to find out that there are no human brokers. Algorithmic trading software makes money for most investment funds. It takes 0.2 seconds for a price quote to come from the exchange to your software vendor's data center (DC), 0.3 seconds from the data center to reach your trading screen, 0.1 seconds for your trading software to process this received quote, 0.3 seconds for it to analyze and place a trade, 0.2 seconds for your trade order to reach your broker, 0.3 seconds for your broker to route your order to the exchange. Total time elapsed 0.2 0.3 0.1 0.3 0.2 0.3 1.4 seconds.


Healthcare Organizations to use AI for Crowd Management

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AI for Crowd Management: Technology is the most important factor in the field of development similarly now the healthcare industry is not imagined without it. Artificial Intelligence has shown some unexpected and incredible results in the transformation of the healthcare industry. Till now the AI has developed some good results such as diagnosing dangerous cancer cells, detection of heart disease in early stage, and the existence of deadly virus. The technological algorithms are a way ahead then the abilities of humans in detecting and uprooting them in a better way. The proper healthcare system is confined to the proper care of the patient.


Remote, hybrid or office-based? Employers are making big decisions about the future of work. This is what it might look like

ZDNet

For many business leaders, the sudden transition to remote working that was forced upon companies last year as the COVID-19 pandemic shut down office spaces still brings back memories of long hours of work and a few logistical ordeals – but according to some experts from analyst Gartner, the real challenge is yet to come. As restrictions slowly lift and employers start thinking of bringing their staff back into the workplace, some forward-thinking planning will be required to ensure a smooth transition from working fully remotely in the context of a global health crisis, to a hybrid mode of work of which the details are yet to be defined. Which video conferencing platform is right for your business? We've gathered details about 10 leading services. This is because, for a significant proportion of employees, a return to the office for five days a week is unlikely to be an appealing option.


Free Machine Learning Tutorial - New in Big Data: Apache HiveMall - Machine Learning with SQL

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Elena works in the field of Natural Language Processing. She graduated with a degree from Saint-Petersburg State University in Russia first and then acquired PhD from Macquarie University in Sydney, Australia, where she works currently. Now she applies theoretical concepts developed in the field of Natural Language Processing to solve business problems of different big and small enterprises. As an early adopter of BigData tools and concepts she finds existing BigData frameworks to be attractive means of working with data. She started using such tools and advising other people to adopt BigData concepts way before Hadoop, Spark and other related technologies became "must to know" tools for many IT professionals.


Microscopy deep learning predicts viral infections

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IMAGE: Deep Learning detects virus infected cells and predicts acute, severe infections. In most cases, this does not lead to the production of new virus particles, as the viruses are suppressed by the immune system. However, adenoviruses and herpes viruses can cause persistent infections that the immune system is unable to completely suppress and that produce viral particles for years. These same viruses can also cause sudden, violent infections where affected cells release large amounts of viruses, such that the infection spreads rapidly. This can lead to serious acute diseases of the lungs or nervous system. The research group of Urs Greber, Professor at the Department of Molecular Life Sciences at the University of Zurich (UZH), has now shown for the first time that a machine-learning algorithm can recognize the cells infected with herpes or adenoviruses based solely on the fluorescence of the cell nucleus.


Dating app takes a swipe at pandemic burnout by giving staff a paid week off

Washington Post - Technology News

The past year has been a busy one for Bumble, which grew to more than 700 employees worldwide and launched its initial public offering in February. The nearly seven-year-old dating app in which women must initiate the first message remained busy during the pandemic, reporting that "virtual dating" through video chats increased 70 percent on the app since shutdowns began in March 2020.