recognition


How Artificial Intelligence Is Helping Fight The COVID-19 Pandemic

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From its epicenter in China, the novel coronavirus has spread to infect 414,179 people and cause no less than 18,440 deaths in at least 160 countries across a three-month span from January 2020 till date. These figures are according to the World Health Organization (WHO) Situation report as of March 25th. Accompanying the tragic loss of life that the virus has caused is the impact to the global economy, which has reeled from the effects of the pandemic. Due to the lockdown measures imposed by several governments, economic activity has slowed around the world, and the Organization for Economic Cooperation and Development (OECD) has stated that the global economy could be hit by its worst growth rate since 2009. The OECD have alerted that the growth rate could be as slow as 2.4%, potentially dragging many countries into recession.


What are the top AI platforms?

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Microsoft AI is a platform used to develop AI solutions in conversational AI, machine learning, data sciences, robotics, IoT, and more. Its Cognitive Services is described as a "comprehensive family of AI services and cognitive APIs to help you build intelligent apps". Tom Bernard Krake is the Azure Cloud Executive at Microsoft, responsible for leveraging and evaluating the Azure platform. Tom is joined by a team of experienced executives to optimise the Azure platform and oversee the many cognitive services that it provides. Uber uses Cognitive Services to boost its security through facial recognition to ensure that the driver using the app matches the user that is on file.


The future of contact tracing GovInsider

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When an epidemic spreads, it's vital to alert people who may have been infected but are yet to show symptoms. This process is called contact tracing, and across the world officials are spending long nights and weekends interviewing patients to identify people at risk. "The challenge is that, right now, it takes a significant amount of time to identify close contacts of the person who has been infected," says Akshay Saigal, Head of Innovation Labs for Asia at DXC Technology. "The track and trace is very manual and takes huge teams of dedicated officials to perform." He thinks that tech innovation can make a big difference to nations in need and spoke with GovInsider about three steps that officials can use for faster contact tracing.



6 Benefits of Facial Recognition Everyone Should Know - Tech Business Guide

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The benefits of facial recognition technology and its cons are controversial issues. Many stakeholders are pointing out the pros, but there are also detractors voicing its disadvantages. There are many concerns around face recognition technology, such as invasion of privacy, abuse of power, what rogue elements within government agencies could do with it, and more. Already, the heated debate around facial recognition has caused some public relations backlashes. As a result, investors could stay clear of the technology, inhibiting its development.


Machine Learning Framework Algorithm to recognise handwriting

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Manually transcribing large amounts of handwritten data is an arduous process that's bound to be fraught with errors. Automated handwriting recognition can drastically cut down on the time required to transcribe large volumes of text, and also serve as a framework for developing future applications of machine learning. Handwritten character recognition is an ongoing field of research encompassing artificial intelligence, computer vision, and pattern recognition. An algorithm that performs handwriting recognition can acquire and detect characteristics from pictures, touch-screen devices and convert them to a machine-readable form. There are two basic types of handwriting recognition systems – online and offline.


AI, facial recognition, and ethics: Will this new tech invade public privacy?

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We live in an age where we have unprecedented access to almost any information we need. With the emergence of new technology like artificial intelligence (AI), facial recognition, big data and more, the human experience is being changed forever. Almost anything you need is just a tap away; but this access comes at a price--data for data. A simple online search may seem harmless, but before you know it, you're being bombarded with ads offering you exactly what you were looking for. How exactly does this work?


Deep Learning: What You Need To Know

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During the past decade, deep learning has seen groundbreaking developments in the field of AI (Artificial Intelligence). But what is this technology? And why is it so important? Well, let's first get a definition of deep learning. Here's how Kalyan Kumar, who is the Corporate Vice President & Chief Technology Officer of IT Services at HCL Technologies, describes it: "Have you ever wondered how our brain can recognize the face of a friend whom you had met years ago or can recognize the voice of your mother among so many other voices in a crowded marketplace or how our brain can learn, plan and execute complex day-to-day activities? The human brain has around 100 billion cells called neurons. These build massively parallel and distributed networks, through which we learn and carry out complex activities. Inspired from these biological neural networks, scientists started building artificial neural networks so that computers could eventually learn and exhibit intelligence like humans."


AI, facial recognition, and ethics: Will this new tech invade public privacy? - Talk IoT

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We live in an age where we have unprecedented access to almost any information we need. With the emergence of new technology like artificial intelligence (AI), facial recognition, big data and more, the human experience is being changed forever. Almost anything you need is just a tap away; but this access comes at a price--data for data. A simple online search may seem harmless, but before you know it, you're being bombarded with ads offering you exactly what you were looking for. How exactly does this work?


Top 7 Machine Learning Frameworks for 2020

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Machine learning is a nightmare without some kind of structure. You can't build everything from scratch, especially if you're in a business setting. Even if you want to (and if you do, comment here and tell us about it!), You need a framework to help bring your vision to life. Here are a few machine learning frameworks designed to help get those projects off the ground.