ai/ml

Introducing ChatGPT and Whisper APIs

Developers can now integrate ChatGPT and Whisper models into their apps and products through our API.

3 years ago

Innocens BV leverages IBM Technology to Develop an AI Solution to help detect potential sepsis events in high-risk newborns

From the moment of birth to discharge, healthcare professionals can collect so much data about an infant’s vitals—for instance, heartbeat…

3 years ago

Use Snowflake as a data source to train ML models with Amazon SageMaker

Amazon SageMaker is a fully managed machine learning (ML) service. With SageMaker, data scientists and developers can quickly and easily…

3 years ago

How data analytics and AI are helping achieve mission outcomes

Whether it's to improve the customer experience, support climate resilience, or accelerate research discoveries, government and industry leaders are turning…

3 years ago

Palantir nie jest brokerem danych (Palantir Explained, #1)

(An English-language version of this post can be read here.)Palantir jest często określany jako “tajemnicza firma”. Jest w tym określeniu ziarno…

3 years ago

Data ingestion pipeline with Operation Management

by Varun Sekhri, Meenakshi Jindal, Burak BaciogluIntroductionAt Netflix, to promote and recommend the content to users in the best possible way…

3 years ago

Announcing the ICDAR 2023 Competition on Hierarchical Text Detection and Recognition

Posted by Shangbang Long, Software Engineer, Google Research The last few decades have witnessed the rapid development of Optical Character…

3 years ago

Hosting YOLOv8 PyTorch models on Amazon SageMaker Endpoints

Deploying models at scale can be a cumbersome task for many data scientists and machine learning engineers. However, Amazon SageMaker…

3 years ago

AI Before You Buy: Israeli Startup Renders 3D Product Models for Top Retailers

Preparing a retailer’s online catalog once required expensive physical photoshoots to capture products from every angle. A Tel Aviv startup…

3 years ago

Improvements to Embedding-Matching Acoustic-to-Word ASR Using Multiple-Hypothesis Pronunciation-Based Embeddings

In embedding-matching acoustic-to-word (A2W) ASR, every word in the vocabulary is represented by a fixed-dimension embedding vector that can be…

3 years ago