Last Updated on May 3, 2023 As neural networks become increasingly popular in the field of machine learning, it is important to understand the role that activation functions play in their implementation. In this article, you’ll explore the concept of activation functions that are applied to the output of each neuron in a neural network …
The introduction of generative AI systems into the public domain exposed people all over the world to new technological possibilities, implications, and even consequences many had yet to consider. Thanks to systems like ChatGPT, just about anyone can now use advanced AI models that are not only capable of detecting patterns, honing data, and making …
Read more “Don’t pause AI development, prioritize ethics instead”
One of the most popular models available today is XGBoost. With the ability to solve various problems such as classification and regression, XGBoost has become a popular option that also falls into the category of tree-based models. In this post, we dive deep to see how Amazon SageMaker can serve these models using NVIDIA Triton …
According to Harvard Business Review, only 20% of companies see their models go into production for AI. Google Cloud Dataflow builds on one of the most popular open source frameworks, Apache Beam, which is a unified programming model and SDK for developing batch and streaming pipelines. Continuing our commitment to building an open product, working …
Read more “Running ML models now easier with new Dataflow ML innovations on Apache Beam”
NVIDIA today introduced a wave of cutting-edge AI research that will enable developers and artists to bring their ideas to life — whether still or moving, in 2D or 3D, hyperrealistic or fantastical. Around 20 NVIDIA Research papers advancing generative AI and neural graphics — including collaborations with over a dozen universities in the U.S., …
Read more “Latest NVIDIA Graphics Research Advances Generative AI’s Next Frontier”
New Accenture report reveals key strategies “operations reinventors” use to achieve elevated levels of operational maturity.Read More
A lab has developed a deep neural network that improves the accuracy of their unique devices for detecting pathogen biomarkers.
The government says it’ll fact-check the internet. Kunal Kamra is challenging the IT amendments in court.
Sophisticated systems for the detection of biomarkers—molecules such as DNA or proteins that indicate the presence of a disease—are crucial for real-time diagnostic and disease-monitoring devices.
TL;DR Everything in modeling will change. These images were generated by Midjourney. How will AI disrupt the modeling industry? AI has the potential to significantly disrupt the modeling industry in various ways, from automating processes to changing the way models are discovered and represented. Here are some potential impacts: AI-generated models: AI can create realistic …