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Modern Computer Vision with PyTorch

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An Artificial Neural Network (ANN) is a supervised learning algorithm that is loosely inspired by the way the human brain functions. Similar to the way neurons are connected and activated in the human brain, a neural network takes input and passes it through a function, resulting in certain subsequent neurons getting activated, and consequently producing the output. There are several standard ANN architectures. The universal approximation theorem says that we can always find a large enough neural network architecture with the right set of weights that can exactly predict any output for any given input. This means, for a given dataset/task we can create an architecture and keep adjusting its weights until the ANN predicts what we want it to predict.


Introducing AIWORK, the Proof-of-Intelligence Blockchain

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Individuals and entities across the globe utilize transcription and translation services for their content on a daily basis in order to be able to distribute this content to wider audiences and create further value. The traditional method of executing these services is rather slow and inefficient -- that's where blockchain is now stepping in to transcend this space. AIWORK is a new blockchain protocol that is creating a marketplace consisting of AI (artificial intelligence) computing resources and human experts. The protocol intends to help develop and validate data sets to make AI smarter by generating enhanced metadata for online video content. Today, video is among one the biggest content drivers on the internet and has presented new and innovative ways for creators to earn revenue from monetization.


Edge-based Human Activity Recognition System for Smart Healthcare - Journal of The Institution of Engineers (India): Series B

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Human activity recognition (HAR) is the method of detecting the physical activity of a person. It has a huge scope in the medical domain for supervision and health analysis. With the help of artificial intelligence, it can be performed using regularly available smartphone devices. For healthcare, HAR is often a part of an IoT framework. Using a cloud-based IoT system ensures maximum resource usage and data storage but comes with the challenges of high latency and bandwidth consumption.


Infor joins Teams bandwagon

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This week, Infor is the latest to have announced the general availability of its digital assistant within Microsoft Teams. The integration will enable customers to access information from within their ERP systems. To do so, customers will interact with the Infor Coleman AI Digital Assistant app for Teams. The digital assistant bot was previously available via a web browser, the Infor Go mobile app, and Amazon Alexa for Business. Oddly, unlike many others, Infor has not yet added an integration.


Why people believe Covid conspiracy theories: could folklore hold the answer?

The Guardian

Researchers have mapped the web of connections underpinning coronavirus conspiracy theories, opening a new way of understanding and challenging them. Using Danish witchcraft folklore as a model, the researchers from UCLA and Berkeley analysed thousands of social media posts with an artificial intelligence tool and extracted the key people, things and relationships. The tool enabled them to piece together the underlying stories in coronavirus conspiracy theories from fragments in online posts. One discovery from the research identifies Bill Gates as the reason why conspiracy theorists connect 5G with the virus. With Gates' background in computer technology and vaccination programmes, he served as a shortcut for these storytellers to link the two.


'Conditioning an entire society': the rise of biometric data technology

The Guardian

In a school canteen in Gateshead, cameras scan the faces of children, taking payment automatically after identifying them with facial recognition. More than 200 miles away in North London, staff at a care home recently took part in a trial that used facial data to verify their Covid-19 vaccine status. And in convenience stores around the country, staff are alerted to potential shoplifters by a smart CCTV system that taps into a database of individuals deemed suspect. In each case, biometric data has been harnessed to try to save time and money. But the growing use of our bodies to unlock areas of the public and private sphere has raised questions about everything from privacy to data security and racial bias.


La veille de la cybersécurité

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We've all been in situations where we had to make tough ethical decisions. Why not dodge that pesky responsibility by outsourcing the choice to a machine learning algorithm? That's the idea behind Ask Delphi, a machine-learning model from the Allen Institute for AI. You type in a situation (like "donating to charity") or a question ("is it okay to cheat on my spouse?"),


A machine learning classifier approach for identifying the determinants of under-five child …

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This paper aimed to explore the efficacy of machine learning (ML) approaches in predicting under-five undernutrition in Ethiopian administrative …


CU Boulder attracts record $634.4 million for research

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CU Boulder researchers attracted a record $634.4 million in fiscal year 2021 for studies involving everything from artificial intelligence to the …