Working with the audio production and engineering industry, I often wonder how the future of the voice talent market will look like with the assistance of artificial intelligence. The development of cloning technology started a while back but it did not reach today's level overnight. The debate of misusing this…Continue
Added by Mahmud Hossain Farsim on February 17, 2021 at 6:00pm — No Comments
Added by Raghavendra Singh on February 8, 2021 at 12:30am — No Comments
This article was written by DeLiang Wang.
My mother began to lose her hearing while I was away at college. I would return home to share what I’d learned, and she would lean in to hear. Soon it became difficult for her to hold a…Continue
Added by Andrea Manero-Bastin on January 28, 2021 at 7:00am — No Comments
This article was written on the blog CLOUDERA Fast Forward.
Machine learning models are used for important decisions like determining who has access to bail. The aim is to increase efficiency and spot patterns in data that humans would otherwise miss. But how do we know if a machine learning model is fair? And what does fairness in machine learning…Continue
Added by Andrea Manero-Bastin on January 15, 2021 at 11:53am — No Comments
This article was written by Damian Mingle.
Google recently started promoting automated machine learning (what they call AutoML) – something that DataRobot customers have been doing for years. So what is driving Google to now embrace this transformative approach? Guest blogger Damian Mingle explains. …Continue
Added by Andrea Manero-Bastin on January 15, 2021 at 11:35am — No Comments
The continued evolution of technology has changed our lives in more profound ways than we’d ever been able to imagine. Think about it — we no longer have to wait in queues in the bank to get a bank statement or even head out to a supermarket or some such to buy groceries. This advancement of technology has had quite an impact on education as well. Come to think of it; education has experienced mind-boggling transformation, brought on by various technologies, such as artificial intelligence,…Continue
Added by Ryan Williamson on December 16, 2020 at 12:47am — No Comments
Generative Pre-trained Transformer 3 also referred to as GPT-3 is the next big revolution in artificial intelligence (AI).
In 2018, a startup, OpenAI was the first to create the autoregressive language model. GPT-3 was deemed to be the largest autoregressive language. The program has been trained regressively on approximately 45 terabytes of text data which has been processed through 175 billion parameters.…Continue
Added by Aileen Scott on December 15, 2020 at 12:51am — No Comments
NeoML, launched by ABBYY, the digital intelligence company is an open-source library ideal to build, train, and deploy machine learning (ML) models.
The open-source library which was earlier launched in June 2020 is now available on GitHub as well. NeoML provides huge support to both deep learning and traditional machine learning…Continue
Added by Aileen Scott on December 10, 2020 at 10:00pm — No Comments
Being an expert at developing and understanding ML, or Machine Learning algorithms, takes time and a lot of hard work. That’s why ML (machine learning) engineers are been seen constantly learning while at the job. If the learning stops, your professional growth stops. Many of us, especially the AI aspirants, think that watching tutorial videos on AI (artificial intelligence) modeling or ML algorithm development on YouTube…Continue
Added by Aileen Scott on November 22, 2020 at 7:30pm — No Comments
Mobile applications based on machine learning are reshaping and affecting many aspects of our lives. Implementing machine learning on mobile devices faces various challenges, including computational power, energy, latency, low memory, and privacy risks. In this article, we…Continue
Added by AI on November 19, 2020 at 11:00am — No Comments
In this blog, I will introduce a R package for Heterogeneous Ensemble Learning (Classification, Regression) that is fully automated. It significantly lowers the barrier for the practitioners to apply heterogeneous ensemble learning techniques in an amateur fashion to their everyday predictive problems.…Continue
Added by Ajay Arunachalam on November 7, 2020 at 1:50am — No Comments
In our previous article — 5 Challenges to be prepared for while scaling ML models, we discussed the top five challenges in productionizing scalable Machine Learning (ML) models. Our focus for this…Continue
Added by Raghavendra Singh on September 21, 2020 at 3:36am — No Comments
Machine Learning (ML) models are designed for defined business goals. ML model productionizing refers to hosting, scaling, and running an ML Model on top of relevant datasets. ML models in production also need to be resilient and flexible for future changes and feedback. A recent study by Forrester states that improving customer experience, improving profitability & revenue growth as the key goals organizations plan to achieve specifically using ML initiatives.
Added by Raghavendra Singh on September 10, 2020 at 12:00pm — No Comments
Enterprise software, as well as other kinds, remains a complicated endeavor, thus necessitating the use of modern means to gauge, analyze, and adapt their performance. And one of the most popular technologies in the performance engineering market right now is machine learning. Since it has demonstrated an unparalleled ability to not only help foresee performance issues and fix them. When used in the right manner — this combination can also help performance engineering teams to steer clear of…Continue
Added by Ryan Williamson on August 30, 2020 at 11:00pm — No Comments
Here’s a fun fact; An average human being (probably an adult) makes close to 30,000 conscious decisions every day. This isn’t entirely true though, in fact, I just made that number up. I could be right because if you think about it, how many decisions would you say you make on a day to day basis? Depending on who you are the above obviously varies widely and you know best. We all…Continue
Added by CARLVIN JERRY on August 20, 2020 at 3:30am — No Comments
Artificial neural networks are based on collection of connected nodes, and are designed to identify the patterns. They are part of deep learning, in which computer systems learn to recognize patterns and perform tasks, by analyzing training examples. For example an object recognition system can be fed to thousands of labeled images of houses, cars, traffic signals, animals etc. and would…Continue
Added by Kamal Jain on August 11, 2020 at 5:00am — No Comments
© 2020 by Radna Intellectual Ventures, LLC.
In Sweden, there's something called the Allemansrätten, which literally translates…Continue
When creating a website, it is an essential objective of developers to make it appealing. They undergo a few systems, including drawing idea sketches, building models, and experimenting with the website before pushing it live.
These procedures don’t occur parenthetically. Developers spend many months on constructing a beautiful and responsive website. Be that as it may, the development in technologies is making things more manageable for them.
The cutting edge technologies like…Continue
Added by Albert Smith on May 25, 2020 at 8:25pm — No Comments
The world has been witness to some profound changes over the past couple of decades. For example, we can shop for furniture without needing to leave our house or even send money halfway across the world with a few taps on your smartphone’s screen. However, there is one aspect of human existence that has undergone some of the most profound changes of them all — learning. Yep. Today, education is no more confined to schools, colleges, or other educational facilities. Today, students have not…Continue
Added by Ryan Williamson on May 6, 2020 at 8:52pm — No Comments
What are the best and worst cases where machine learning algorithms can be applied? Can anyone help me in this?
Added by Akshay Gupta on April 24, 2020 at 1:35am — No Comments