Shilpi is a Contributor to Marktechpost.com. She is currently pursuing her third year of B.Tech in computer science and engineering from IIT Bhubaneswar. She has a keen interest in exploring latest technologies. She likes to write about different domains and learn about their real life applications.
Programming competition problems in AI can be used to assess programmers’ abilities to tackle artificial tasks and to test the boundaries of current algorithms....
A recent study from a multi-institutional research team introduces CW Networks (CWNs), a message-passing mechanism that produces state-of-the-art outcomes across a variety of molecular...
Google AI recently announced a machine learning-based framework that game developers could use to train game-testing agents quickly and efficiently, freeing human testers to...
LyricJam, an innovative computational system that can produce lyrics for live instrumental music, has been recently developed by researchers at the University of Waterloo....
A research team from IDSIA, a Swiss AI lab, uses fast weight programmers (FWPs) to improve linear transformers and investigates the relationship between linearised transformers and...
TensorFlow introduces the PluggableDevice architecture, which seamlessly integrates accelerators (GPUs, TPUs) with TensorFlow without making any changes in the TensorFlow code. PluggableDevice, as the name suggests,...
Many AI research projects have been striving to improve their ability to detect and interpret speech merely by listening and engaging with others, much...
Centralized learning for multi-agent systems highly depends on information-sharing mechanisms. However, there have not been significant studies within the research community in this domain.
Army...
FLORES-101, a first-of-its-kind, many-to-many evaluation data set that covers 101 languages from around the world, is now open-sourced. FLORES-101 is a tool that allows...
The Approximately Correct Machine Intelligence (ACMI) Lab at Carnegie Mellon University (CMU) has published a paper on Randomly Assign, Train, and Track (RATT). RATT is an...
TensorFlow Open Sources TensorFlow Decision Forests (TF-DF). TF-DF is a collection of production-ready algorithms for training, serving, and interpreting decision forest models, including random...
Researchers at the University of California San Diego developed a novel artificial neuron device, with the help of which training neural networks to perform...
