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A guide to artificial intelligence and machine learning

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According to Gartner, AI applies advanced analysis and logic-based techniques, including machine learning, to interpret events, support and automate decision-making, and take action. In essence, the concept of AI centres on enabling computer systems to think and act in a more'human' way, by learning from and responding to the vast amounts of information they're able to use. AI is already transforming our everyday lives. From the AI features on our smartphones such as built-in smart assistants, to the AI-curated content and recommendations on our social media feeds and streaming services. As the name suggests, machine learning is based on the idea that systems can learn from data to automate and improve how things are done – by using advanced algorithms (a set of rules or instructions) to analyse data, identify patterns and make decisions and recommendations based on what they find.


Use of algorithms, AI for hiring risks discriminating against disabled, Biden admin says

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The Biden administration announced Thursday that employers who use algorithms and artificial intelligence to make hiring decisions risk violating the Americans with Disabilities Act if applicants with disabilities are disadvantaged in the process. The majority of American employers now use the automated hiring technology -- tools such as resume scanners, chatbot interviewers, gamified personality tests, facial recognition and voice analysis. The ADA is supposed to protect people with disabilities from employment discrimination, but just 19 percent of disabled Americans were employed in 2021, according to the Bureau of Labor Statistics. Kristen Clarke, the assistant attorney general for civil rights at the Department of Justice, which made the announcement jointly with the Equal Employment Opportunity Commission, told NBC News there is "no doubt" that increased use of the technologies is "fueling some of the persistent discrimination." "We hope this sends a strong message to employers that we are prepared to stand up for people with disabilities who are locked out of the job market because of increased reliance on these bias-fueled technologies," she said.


Telecom Churn Prediction using Machine Learning, Python, and GridDB

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Customer churn is a key business concept that determines the number of customers that stop doing business with a specific company. The churn rate is then defined as the rate by which a company loses customers in a given time frame. For example, a churn rate of 15%/year means that a company loses 15% of its total customer base every year. Customer churn takes special importance in the telecommunication sector, given the increasing competition and appearance of new telecommunication companies. For this reason, the telecom industry expects high churn rates every year.


Yield-predicting AI needs chemists to stop ignoring failed experiments

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Machine-learning algorithms that can predict reaction yields have remained elusive because chemists tend to bury low-yielding reactions in their lab notebooks instead of publishing them, researchers say. 'We have this image that failed experiments are bad experiments,' says Felix Strieth-Kalthoff. 'But they contain knowledge, they contain valuable information both for humans and for an AI.' Strieth-Kalthoff from the University of Toronto, Canada, and a team around Frank Glorius from Germany's University of Münster are asking chemists to start including not only their best but also their worst results in their papers. This, as well as unbiased reagent selection and reporting experimental procedures in a standardised format, will allow researchers to finally create yield-prediction algorithms. Retrosynthesis is already using machine-learning models to create shorter, cheaper or non-proprietary synthetic routes. But there have been few attempts at creating programs that predict yields.


Classification SINGLE-LEAD ECG by using conventional neural network algorithm

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Cardiac disease, including atrial fibrillation (AF), is one of the biggest causes of morbidity and mortality in the world, accounting for one third of all deaths. Cardiac modelling is now a well-established field.


Autonomous Vehicle with 2D Lidar

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Lidar is an acronym for light detection and ranging. Lidar is like radar, except that it uses light instead of radio waves. The light source is a laser. A lidar sends out light pulses and measures the time it takes for a reflection bouncing off a remote object to return to the device. As the speed of light is a known constant, the distance to the object can be calculated from the travel time of the light pulse (Figure 1).


Have You Heard? AI Can Edit Genes Now

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Artificial intelligence does all kinds of things….genomics Genetic engineering has always been a go-to plot twist in sci-fi movies and TV shows. The idea of genetically mutated humans with superior abilities and unique DNAs still has ripple effects on Marvel fans and box offices. But what if we can alter genes in real life? CRISPR gene editing has been doing that since 2012 (no Wolverine or Magneto though). In 2022, this powerful genetic engineering technique is complemented with artificial intelligence.


Call Center Sentiment Analysis -- Hack to Empathetic Customer Service

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Call Center sentiment analysis is the processing of data by identifying the natural nuance of customer context and analyzing data to make customer service more empathetic. If you are employed in Call Center, the following scenario might be familiar: You get a call from a client and hear their words with stress. The cause for such a cataclysmic reaction: They got a bad rating for their products or business. Some of those reviews might be negative, formal, and neutral. Knowing what someone meant can be tricky unless you understand their emotional quotient.


Algorithms, Artificial Intelligence, and Disability Discrimination in Hiring

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This guidance explains how algorithms and artificial intelligence can lead to disability discrimination in hiring. The Department of Justice enforces disability discrimination laws with respect to state and local government employers. The Equal Employment Opportunity Commission (EEOC) enforces disability discrimination laws with respect to employers in the private sector and the federal government. The obligation to avoid disability discrimination in employment applies to both public and private employers. Employers, including state and local government employers, increasingly use hiring technologies to help them select new employees.


12 examples of artificial intelligence in everyday life

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In the article below, you can check out twelve examples of AI being present in our everyday lives. Artificial intelligence (AI) is growing in popularity, and it's not hard to see why. AI has the potential to be applied in many different ways, from cooking to healthcare. Though artificial intelligence may be a buzzword today, tomorrow, it might just become a standard part of our everyday lives. They work and continue to advance by using lots of sensor data, learning how to handle traffic and making real-time decisions.