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Infections and Infectious Diseases


Artificial Intelligence: Global scenario versus Indian landscape

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The retail industry has been one of worst-hit industries by the global pandemic and after an initial knee-jerk pause during the lockdowns, we see a sudden spike in retail brands (across categories of products) globally wanting to adopt and embrace digital transformation initiatives. The age-old model of customer service via call-centre's has been disrupted permanently by Covid-19 and moving to AI solutions that can help retail businesses manage both exponential rise in call volumes while maintaining very high service level quality is the new emerging opportunity. It is, therefore, not a surprise that the conversational AI market alone is expected to grow at 32 percent CAGR to $9.4 billion by 2024 according to market research company markets & markets.


How AI can be used for good

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As an IBM master inventor, professor at UC Irvine, and author of "Own the A.I. Revolution: Unlock Your Artificial Intelligence Strategy to Disrupt Your Competition," Sahota is also a lead artificial intelligence adviser to the United Nations and is helping find ways for AI to provide solutions and prevent future pandemics. Even now, AI is being used to create systems that can impact how treatments for COVID-19 are used. One such AI tool was developed at UC Irvine last year to help predict the probability of patients needing ICU care. This involved collecting the data of patients to get common symptoms of the coronavirus as well as how to accelerate treatment and care options. Other examples include AI-powered walking sticks for the blind, tools to help those who can't speak, and health care apps that use a cell phone to detect diabetes, tuberculosis and skin diseases through the camera and microphone.


How do we keep AI safe from adversaries?

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In the era of Artificial Intelligence, there are several security challenges to keep the machine learning model secure from adversaries. The goal of this paper is to find the solutions to keep AI safe from adversaries. The focus will be on the techniques to defence the adversaries using multi-step approaches. I will begin by explaining what is adversarial in AI and what are the intentions. Then I will explain the taxonomy of it along with strategies.


How FireCompass Is Using AI To Automate Ethical Hacking

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The year 2020 was the'worst year on record' for cybersecurity, with almost two thousand data breaches reported in the first three months alone. On the one hand, the pandemic had fast tracked the digital adoption of organisations, on the other, it exposed the fractures in their digital security systems as they scaled. The cybercriminals had a field day with most of the companies opting for remote work in the aftermath of Covid-19. From Twitter and Zoom data breach to Unacademy, Big Basket, EasyJet and Marriott, the data breaches continued to make headlines in 2020. Consequently, the role of cyber resilience gained more criticality.


Council Post: Four Ways AI And Machine Learning Will Drive Future Innovation And Change

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CTO & MD at AX Semantics, the SaaS-based, Natural Language Generation Platform that creates any content, in any language, at any scale. The pandemic brought on economic, logistical and technological challenges on a massive global scale, leaving businesses scrambling to adapt. Amidst the upheaval, businesses turned to video conferencing platforms like Zoom and Google Meet to stay connected. Technologies like artificial intelligence (AI) and machine learning (ML) helped augment human efforts to take on everything from health to cybersecurity. Equally, businesses looked toward strategic execution and technology to remain agile among industry shifts and provide a greater return on investments.


Internet of Things (IoT) and Artificial Intelligence (AI) : Redefining Business

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If you look around yourself, you will find at least one object which is connected to Internet. It might be a smartphone, television, air conditioner, or even door bells. Collection of these things can be called as IoT or Internet of Things. Its ability to collect, share and receive data, via Internet, is transforming everyday objects into smart devices. However, analyzing massive incoming data from countless IoT devices can make the process much complex.


Tech startups in India building resilience amid disruption

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The number of unicorns (those who have a valuation of over $1 billion) is also growing steadily in India. In 2020 alone, 11 startups from India joined the unicorn club, which boasts of Paytm, Ola, Zomato, Cars 24, and 34 others. The above figures are intriguing and contrary to the early fears raised by several industry observers. The Indian startup ecosystem was projected for a steep decline by many in March 2020 due to the Covid-induced bedbound economic environment. Technology interventions and innovative ideas played a pivotal role in resuscitating the growth path.


Digital Transformation of Healthcare: Beyond COVID-19

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The healthcare industry is straining under the impact of COVID-19. The sudden influx of patients in hospitals is exposing vulnerabilities in the current healthcare system. Some hospitals became hotspots for infection, disrupting routine healthcare procedures, while others closed their Outpatient Departments (OPDs), fearing transmission. This dire situation ushered in a massive digital transformation of the healthcare industry to improve care quality, reduce operational costs, and save time for treatments. Although the pandemic accelerated the transformation and saw pioneering research in medical science, healthcare advancement is a phased evolution.


Accurate classification of COVID‐19 patients with different severity via machine learning

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Infection of severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) could cause dramatic response in coronavirus disease 2019 (COVID‐19) patients at multi‐omics level,1-3 thus it is essential to systematically assess the pathogenesis of COVID‐19. In our previous study, we presented the first trans‐omics landscape of 236 COVID‐19 patients with 4 clinical severity groups (including asymptomatic, mild, severe and critically ill cases) and found that the mild and severe COVID‐19 patients shared several similar characteristics.4 However, it is crucial to discriminate mild from severe COVID‐19 patients to prevent the latter from the progression of disease by facilitating early intervention. Herein, we developed an extreme gradient boosting (XGBoost) machine‐learning model to predict the COVID‐19 severities by leveraging multi‐omics data. Briefly, we randomly stratified samples for the training set (80%) and the independent testing set (20%) (Figure 1A, see Methods in the Supporting Information).


Training its multi-lingual voicebot in India, Vernacular.ai gears up to make inroads into US and multilingual countries like Indonesia & Malaysia

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Amidst all the fast-paced technological innovations, contact centres continue to be at the frontline of delivering customer experience. "Even though businesses have identified different mechanisms to reach out to users such as mobile applications, notifications etc, users still reach out to the call center. Case in point, even when you are able to book a cab in under two minutes through the app, you will want to reach out to customer care if there is a problem," shares Sourabh Gupta, Co-Founder & CEO, Vernacular.ai, an AI-first SaaS business enhancing customer experience through intelligent voice conversations. However, Sourabh points out that innovation for contact centres has been overlooked and that's why today they are unable to offer the same convenience that the business provides digitally through other mediums. This gap has come to the fore amidst the pandemic.