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Reinforcement Learning (RL) has gained substantial traction over recent years, driven by its successes in complex tasks such as game playing, robotics, & autonomous systems. However, deploying RL in real-world applications necessitates addressing safety concerns, which...
In recent years, computer vision has made significant strides by leveraging advanced neural network architectures to tackle complex tasks such as image classification, object detection, and semantic segmentation. Transformative models like Transformers and Convolutional Neural Networks...

Amazon Open-Sources Fortuna, An Open-Source Library For Uncertainty Quantification of Machine Learning ML Models

On examining the class probabilities predicted by a deep neural network classifier, there are times when one can observe that the likelihood of one...

Meet BinoML: A Novel Machine Learning Ranking Model for Precisely Adding Building Numbers to Unlabeled Buildings

Ever wondered how the package that we order online are delivered within such a short time and so accurately? The availability of accurate addresses...

Amazon Researchers Release CoCoA-MT: A Dataset and Benchmark for Controlling formality in Machine Translation

Neural machine translation (NMT) models have steadily improved over the years, and their quality is now quite close to that of human translators. Commonly,...

Amazon Research Introduces MTGenEval: A New Benchmark For Evaluating Gender Bias In Machine Translation

It has been a long-held goal of the field of computer science to develop software capable of translating written text between languages. The last...

This Artificial Intelligence (AI) Paper Presents A Study On The Model Update Regression Issue In NLP Structured Prediction Tasks

Model update regression is the term used to describe the decline in performance in some test cases following a model update, even when the...

Amazon AI Researchers Propose A New Machine Learning Framework Called ‘GRAVL-BERT’: A BERT-Based Graphical Visual-Linguistic Representations For Multimodal Coreference Resolution

The use of multimodal data for AI training has gained popularity, particularly in recent years. The popularity of voice-activated screen devices like the Amazon...

AWS AI Labs Propose A Method That Predicts Bias In Face Recognition Models Using Unlabeled Data

Algorithmic bias has emerged as a major area of study in artificial intelligence in recent years. An examination of facial recognition software in 2018...

Amazon AI Researchers Propose A New Deep Learning-Based Method For Adapting An MDE Model Trained On One Labeled Dataset To Another, Unlabeled Dataset

Depth data is crucial for various robot uses, including navigation, mapping, and obstacle avoidance. Monocular depth estimation (MDE), which makes depth predictions using only...

Latest Machine Learning Research at Amazon Proposes DAEMON, a Novel Graph Neural Network based Framework for Related Product Recommendation

One primary machine learning application today is recommendation systems for e-commerce stores like Amazon. Customers can save time and have more fulfilling buying experiences...

Amazon Open-Sources ‘MINTAKA,’ a Complex, Natural, and Multilingual Question-Answering (QA) Dataset Composed of 20,000 Question-Answer Pairs 

Question answering is to learn predicting answers to a given question using machine learning. While many cutting-edge question-answering models perform well when asked simple...

Amazon Researchers Propose ‘MiCS,’ An Artificial Intelligence (AI) System That Attains High Training Throughput and Near-Linear Scalability on The Cloud by Only Using Data...

Gigantic models are those models that have to be trained using billions or trillions of parameters. Due to significant communication overheads, current general purpose...

Researchers from UC Berkeley and Amazon Introduce an Unsupervised AI Method for Synthesizing Realistic Photos from Scene Sketches

Sketching is a natural means of representing visual signals. With a few light strokes, humans could understand and envision a photo from a sketch....

Snowflake AI Research Team Unveils Arctic: An Open-Source Enterprise-Grade Large Language Model (LLM) with...

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Snowflake AI Research has launched the Arctic, a cutting-edge open-source large language model (LLM) specifically designed for enterprise AI applications, setting a new standard...

Google DeepMind Releases RecurrentGemma: One of the Strongest 2B-Parameter Open Language Models Designed for...

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Language models are the backbone of modern artificial intelligence systems, enabling machines to understand and generate human-like text. These models, which process and predict...

Finally, the Wait is Over: Meta Unveils Llama 3, Pioneering a New Era in...

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Meta has revealed its latest large language model, the Meta Llama 3, which is a major breakthrough in the field of AI. This new model is not just...

TrueFoundry Releases Cognita: An Open-Source RAG Framework for Building Modular and Production-Ready Applications

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The field of artificial intelligence is rapidly evolving, and taking a prototype to production stage can be quite challenging. However, TrueFoundry has recently introduced a new...

Meet Zamba-7B: Zyphra’s Novel AI Model That’s Small in Size and Big on Performance

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In the race to create more efficient and powerful AI models, Zyphra has unveiled a significant breakthrough with its new Zamba-7B model. This compact,...

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