Collaborating Authors

Artificial Intelligence and Industry 4.0 - (Intelligent Data-Centric Systems) by Aboul Ella Hassanien & Jyotir Moy Chatterjee & Vishal Jain


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Why academic research in AI is a total waste of time


Jeremy Howard, a creator of and an ex-President of Kaggle says that most of the research in the deep learning world is a total waste of time. He explains why it is so and what is currently being under studied i.e. active learning and transfer learning. Active learning and transfer learning are further elaborated in this blog post. When asked a question "what's wrong with Artificial Intelligence?", However, when you literally dig into the question, the industry of AI is fighting its own demons.

RPA is not AI; Combine them for Superpowers


You can take a look at Facebook's AI Research to understand better. Here, the social media giant feeds the AI system with different images and the machine delivers exacts results. When a photo of a dog is shown to the machine, it not only recognised it as a dog but also recognised the breed. RPA is a technology that uses a specific set of rules and an algorithm and based on that it automates a task. While AI is focused more on doing a human-level task, RPA is practically a software that reduces human efforts -- it is about saving the business and white-collar workers' time.

I listen to podcasts while I game because there's only so much time


Some people get used to not having as much free time as they did when they were kids. I am not one of those people. As a working adult with an admittedly compromised social life (thanks, COVID!) and numerous other time-sucking obligations, finding time for both video games and podcasts has become a challenge. I truly, deeply adore both things; gaming is a lifelong passion and podcasts have been making me laugh on a daily basis for 15 years. I had to hear a lot of talk radio as a kid, so podcasts changed everything once I found out that the format could be funny and lively instead of dusty and decrepit.

Associate Machine Learning Engineer


Please note this role is eligible for remote working within Hungary. Black Swan Data is a fast-growing technology and data science business, with offices in the UK, South Africa, Hungary. We build high quality SaaS solutions which automate data science using advanced machine learning and deep learning techniques. We use some of the coolest technology on the planet so you will never get bored of doing the same thing. You'll be part of a dynamic and growing global team As we continue to grow across the world, you'll find every day brings with it fresh challenges and opportunities to try new things.

Northwestern University Researchers Used Machine Learning To Identify Speech Patterns In Children With Autism That Were Consistent Between English And Cantonese


According to observations, children with autism frequently speak more slowly than similarly developing kids. They differ in their speech in other ways, most notably in tone, intonation, and rhythm. It is very challenging to consistently and objectively describe these "prosodic" distinctions, and it has been decades since their roots have been identified. Researchers from Northwestern University and Hong Kong collaborated on a study to shed light on the causes and diagnoses of this illness. This method uses machine learning to find speech patterns in autistic children that are similar in Cantonese and English.

A Python Tutorial for Machine Learning


Python is the most widely used data science and machine learning programming language. However, in order to gather useful data and outcomes, you must first have a fundamental grasp of how machine learning works. Using a sample machine learning issue, you'll master the fundamentals of Python for machine learning, including different model types and the measures to follow to assure quality data. You'll also learn about some of the most popular machine learning libraries and tools. Machine learning (ML) is a type of artificial intelligence (AI) that trains computers to make predictions and recommendations based on data and to solve problems.

CO2 emissions dataset in USA: a statistical analysis, using Python


Disclaimer: This notebook has not been written by a climate scientist! Everything is exclusively analyzed by a data scientist point of view. All the statistical analysis are meant to be used as tools for a time series analysis of any kind. Let's start by stating the obvious: The job of a data scientist is to extract insights. The complexity of the tool that you are using is not really relevant.

AI and Cyber Security Battlefield


Artificial intelligence (AI) is truly a revolutionary feat of computer science, set to become a core component of all modern software over the coming years and decades. This presents a threat but also an opportunity. AI will be deployed to augment both defensive and offensive cyber operations. Additionally, new means of cyber attack will be invented to take advantage of the particular weaknesses of AI technology. Finally, the importance of data will be amplified by AI's appetite for large amounts of training data, redefining how we must think about data protection. Prudent governance at the global level will be essential to ensure that this era-defining technology will bring about broadly shared safety and prosperity.

What is Artificial Intelligence? How does AI work, Types, Trends and Future of it?


Let's take a detailed look. This is the most common form of AI that you'd find in the market now. These Artificial Intelligence systems are designed to solve one single problem and would be able to execute a single task really well. By definition, they have narrow capabilities, like recommending a product for an e-commerce user or predicting the weather. This is the only kind of Artificial Intelligence that exists today. They're able to come close to human functioning in very specific contexts, and even surpass them in many instances, but only excelling in very controlled environments with a limited set of parameters. AGI is still a theoretical concept. It's defined as AI which has a human-level of cognitive function, across a wide variety of domains such as language processing, image processing, computational functioning and reasoning and so on.