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Infections and Infectious Diseases


AI's human protein database a 'great leap' for research

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Scientists on Thursday unveiled the most exhaustive database yet of the proteins that form the building blocks of life, in a breakthrough observers said would "fundamentally change biological research". Every cell in every living organism is triggered to perform its function by proteins that deliver constant instructions to maintain health and ward off infection. Unlike the genome -- the complete sequence of human genes that encode cellular life -- the human proteome is constantly changing in response to genetic instructions and environmental stimuli. Understanding how proteins operate -- the shape in which they end up, or "fold" into -- within cells has fascinated scientists for decades. But determining each protein's precise function through direct experimentation is painstaking.


Equipping AI with emotional intelligence can improve outcomes

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All the sessions from Transform 2021 are available on-demand now. There is a significant gap between an organization's ambitions for using artificial intelligence (AI) and the reality of how those projects turn out, Intel chief data scientist Dr. Melvin Greer said in a conversation with VentureBeat founder and CEO Matt Marshall at last week's Transf0rm 2021 virtual conference. One of the key areas is emotional intelligence and mindfulness. The pandemic highlighted this gap: The way people had to juggle home and work responsibilities meant their ability to stay focused and mindful could be compromised, Greer said. This could be a problem when AI is used in a cyberattack, like when someone is trying to use a chatbot or some other adversarial machine learning technique against us. "Our ability to get to the heart of what we're trying to achieve can be compromised when we are not in an emotional state and mindful and present," Greer said.


Edge AI software market to expand significantly by 2030 - Help Net Security

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The surging number of applications being deployed on the cloud in several industries, rapid improvements being made in the internet of things (IoT) domain, advancements in numerous smart applications, and growing popularity of AI software are the major factors driving the expansion of the global edge AI software market. Due to these factors, the market generated $600 million revenue in 2020, and it is expected to exhibit huge expansion during 2021–2030, according to P&S Intelligence. The imposition of lockdowns in several countries to mitigate the spread of the COVID-19 infection negatively impacted the operations of many businesses, but positively impacted the growth of the edge AI software market. The COVID-19 pandemic has facilitated the progress of the medical services sector, with many organizations making huge investments in edge AI software to increase its applications in this sector. Moreover, with the increasing digitalization rate in the medical care and training sectors, the demand for edge AI software is rising sharply.


15 Best Chatbot Software in 2021

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What used to be a permanent lab entity just a few years back has found its way out of the machine rooms and entered different industries and business processes across the globe! We are talking about conversational AI or what we call in the common language -- a chatbot! Recent research by the MIT Sloan Management Review and BCG suggests that more than 70% of the executives feel that AI is going to play a pivotal role in their business organizations. The AI elements of chatbots are readily available for customization and as-is use in various business scenarios. However, the mammoth work of managing the data interplay, process complexities, and technology interfacing happen in-house! The chatbot builders must have smart functionalities and a zero or slight learning curve for effortless and efficient usage. Here, we share the best chatbot software for businesses in 2021, with more functionalities and less work.


Tech Trends to Look Out for in 2021 - EasternEye

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The pace at which technology is continuously evolving is unprecedented. Each and every day seemingly brings with it some new and exciting thing to be excited about in the world of tech. Fresh off a year that saw the world retreat indoors in an effort to curb the spread of the COVID-19 virus, much of society grew more reliant and more accepting of technology as a whole. Technology played a big role in various aspects of everyday life such as communication, data transfer, analysis, and even entertainment. More than that, in the age of digital information, a smart device is being placed in the hands of someone new every single day.


Importance of AI and Machine Learning in the Healthcare Ecosystem

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Healthcare innovation has helped healthcare providers offer better care and unlock new ways to enhanced treatment for larger population groups. Technology advancements such as Artificial Intelligence and machine learning can offer innovative solutions to the healthcare sector by improving care delivery options and automating tasks that can reduce administrative burden. The Healthcare Innovation Forum discusses how machine learning and AI have revolutionized healthcare through efficient data analysis which has facilitated the decision-making process. By integrating the power of AI and machine learning the healthcare ecosystem can benefit greatly through automation of manual tasks, analyzing large data to improve health outcome levels, and lowering healthcare costs. According to Business Insider, 30% of healthcare costs are related to administrative and operational tasks.


DeepMind's AI predicts structures for a vast trove of proteins

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The human mediator complex has long been one of the most challenging multi-protein systems for structural biologists to understand.Credit: Yuan He The human genome holds the instructions for more than 20,000 proteins. But only about one-third of those have had their 3D structures determined experimentally. And in many cases, those structures are only partially known. Now, a transformative artificial intelligence (AI) tool called AlphaFold, which has been developed by Google's sister company DeepMind in London, has predicted the structure of nearly the entire human proteome (the full complement of proteins expressed by an organism). In addition, the tool has predicted almost complete proteomes for various other organisms, ranging from mice and maize (corn) to the malaria parasite (see'Folding options').


DeepMind's AI has finally shown how useful it can be

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Marcelo Sousa, a biochemist at the University of Colorado Boulder, had spent ten years trying to crack a particularly tricky puzzle. Sousa and his team had collected reams of experimental data on a single bacterial protein linked to antibiotic resistance. Working out its structure, they hoped, would help to find inhibitors that could stop that resistance from building. But, year after year, the puzzle remained unsolved. Within 15 minutes, DeepMind's machine learning system had solved the structure.


Cree Lighting Connected Max ST19 review: An affordable, tunable, filament smart bulb

PCWorld

The maker of our favorite budget-priced color A19 smart bulb is back with a slew of new smart lights, including this Edison-style ST19 filament bulb. Priced at a reasonable $13 (or $75 for a six-pack), the tunable white Cree Lighting Connected Max ST19 boasts easy setup; connects directly to Wi-Fi networks; supports Alexa, Google Assistant, and SmartThings; and packs an impressive arsenal of automation tools. But the quirky Cree app can be confusing to use (why must you group lights that are already in a room?), and the ST19's lowest brightness setting is still a bit bright for our taste. Cree Lighting offers a wide range of bulbs in its Connected Max line, including a color A19 bulb that's our current Editors' Choice for budget-priced smart bulbs. Back in May, Cree unveiled a series of new Connected Max products, including this ST19 filament bulb.


ATH Leaps

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In this hands-on webinar powered by ATH LEAPS, you will be introduced to how ML models and Explainable AI frameworks play a vital role in controlling the risk across domains like BFS and Healthcare. With the help of a real business case from the Finance domain and using open-source data on the current COVID-19 pandemic you will get an opportunity to be familiarised with applying ML models and Explainable AI frameworks for building better predictive models for effective risk mitigation.