Researchers from NVIDIA and Harvard Develop Deep Learning tool for Epigenomics
This new deep neural network tool - AtacWorks - can speed up Genome Analysis Last year, NVIDIA came up with a deep convolutional neural network toolkit for epigenomics called AtacWorks. Today, NVIDIA and Harvard Universityย Department of Stem Cell and Regenerative Biology
Explainable AI and Black Box AI Leading to the Unknown
AI Algorithms are surely one of the solutions to tomorrow's future, but it needs to be seen what that world looks like, and what ideals it is founded upon. Artificial Intelligence in today's world is growing to be quite common. These
Now Deep Learning can Easily Classify Video Games By its Cover
Researchers have developed a new AI-Model to Classify Video Games Based on Their Covers Video games have been a popular and most engaging form of entertainment for decades. Their importance in our lives peaked amid the COVID-19 lockdown. But have you
How AI Models Can Eliminate Bias for Digital ID
Roles of AI Models in Removing Digital ID Biases Identity theft is deemed as a growing problem. Specifically, with the increase in online shopping, the number of online identity theft increased rapidly. A 2019 Internet security report shows cybercriminals diversify their
MIT and Harvard Researchers Explore the Possibility of Certain Decision Making in Neural Networks
Evidential distribution allows the neural networks to crunch the data and display confidence in the data's quality. With the invasion of artificial intelligence across the industry, deep learning neural networks are extensively applied by organizations to make informed decisions. First proposed
A brief introduction to Symbolic AI: What? Why? How?
Understanding the basics of Symbolic AI Currently, artificial intelligence is dominated by neural networks, machine learning, and deep learning. But earlier, it was all about classical AI or Good, Old-Fashioned AI (GOFAI), or popularly known as symbolic AI. This branch of