AI Paper Summary

Researchers From ByteDance Introduce MetaFormer: A Unified Meta Framework for Fine-Grained Recognition That Achieves 92.3% and 92.7% on CUB-200-2011 and NABirds

Fine-grained visual classification, in contrast to generic object classification, tries to correctly classify things from the same basic category (birds, vehicles, etc.) into subcategories....

Researchers from Northwestern University Come Up With More Efficient AI Training With a Systolic Neural CPU

Since the inception of modern machine learning, the goal has been to make workloads that use the technology as efficient as feasible. Considering the...

DeepMind Researchers Develop Ithaca: A Deep Neural Network For Restoring and Attributing Ancient Texts

Epigraphy is the study of ancient texts—inscriptions—written by individuals, organizations, and institutions in the ancient world on durable materials (stone, pottery, metal). Thousands of...

Researchers From Italy Use Machine Learning To Distinguish Different Stages And Severity Of Parkinson’s Disease By Voice

Parkinson's disease (PD) is a neurological condition that causes tremors, stiffness, and difficulty walking, balancing, and coordinating. Dopamine levels diminish due to nerve cell...

In the Latest Google AI’s Research, The Team Explains How They Reduced The Size of The High-Performing CAP12 Model By 6x-100x While Maintaining 90-96%...

In recent years, there has been significant progress in lexical tasks like automatic speech recognition (ASR). Yet machine systems struggle to understand non-linguistic features...

CMU Researchers Introduce a Method for Estimating the Generalization Error of Black-Box Deep Neural Networks With Only Unlabeled Data

Take a look at the following fascinating observation. On two identically generated datasets S1 and S2 of the same size, train two networks of...

Microsoft Researchers Introduce Tensor Query Processor (TQP) With Tensor Computation Runtimes for Query Processing – 20x Speedup

If data is the fuel for Artificial Intelligence (AI), the computation is the engine. The ever-increasing computational requirements of modern AI systems have prompted...

Microsoft’s Latest Machine Learning Research Introduces ÎĽTransfer: A New Technique That Can Tune The 6.7 Billion Parameter GPT-3 Model Using Only 7% Of The...

Scientists conduct trial and error procedures which experimenting, that many times lear to freat scientific breakthroughs. Similarly, foundational research provides for developing large-scale AI...

Researchers From the University of Hamburg Propose A Machine Learning Model, Called ‘LipSound2’, That Directly Predicts Speech Representations From Raw Pixels

The purpose of the paper presented in this article is to reconstruct speech only based on sequences of images of talking people. The generation...

Google AI Implements Machine Learning Model That Employs Federated Learning With Differential Privacy Guarantees

Bringing model training to the device extends beyond the usage of local models that make predictions on mobile devices. Federated Learning (FL) allows mobile...

Machine Learning Model Watermarking By Borrowing Attack Techniques Like Badnets and Backdooring

The training costs for advanced ML models range from tens of thousands to millions of dollars, even for well-understood architectures. The training of one...

Researchers From CMU and LinkedIn Open-Sources The Implementation of PASS (Performance-Adaptive Sampling Strategy) For Deep Learning

Understanding the relationships between entity sets maintained in a database is critical. In this context, an entity is an object or a data component. Entity...

Recent articles

Unlock the full potential of your data with Julius AI: An advanced yet user-friendly data analyst tool for anyone

X