Machine Learning Research at Apple

JANUARY 28, 2024

Recent advances in deep learning and automatic speech recognition (ASR) have enabled the end-to-end (E2E) ASR system and boosted its accuracy to a new level. Despite this simpler system architecture, fusing a separate LM, trained exclusively on text corpora, into the E2E system has proven to be beneficial.

System Architecture 130

System Architecture Deep Learning Deep Learning 130

Smart Data Collective

JUNE 10, 2022

Working as a machine learning scientist, you would research new data approaches and algorithms that can be used in adaptive systems, utilizing supervised, unsupervised, and deep learning methods. Business Intelligence Developer. Applications Architect.

Data Science 120

Data Science Data Scientist Machine Learning Machine Learning 120

ODSC - Open Data Science

JULY 18, 2023

The way Tabnine works is that it uses deep learning algorithms to provide intelligent code suggestions as developers write code. It’s not simple to autocomplete, as Tabnine is able to offer highly accurate and context-aware suggestions based on the current code context and patterns learned from a vast corpus of code.

AI 52

AI AI Deep Learning Deep Learning 52

Heartbeat

JANUARY 9, 2024

Deployment : The adapted LLM is integrated into this stage's planned application or system architecture. This includes establishing the appropriate infrastructure, creating communication APIs or interfaces, and assuring compatibility with current systems. We pay our contributors, and we don't sell ads.

Natural Language Processing 52

Natural Language Processing Machine Learning Machine Learning Artificial Intelligence 52

AWS Machine Learning Blog

FEBRUARY 24, 2023

In this post, we describe our design and implementation of the solution, best practices, and the key components of the system architecture. Amazon Rekognition makes it easy to add image and video analysis into our applications, using proven, highly scalable, deep learning technology.

AWS 91

AWS ML ML Data Pipeline 91

Google Research AI blog

FEBRUARY 14, 2023

Further improvements are gained by utilizing a novel structured dynamical systems architecture and combining RL with trajectory optimization , supported by novel solvers. We improved the efficiency of RL approaches by incorporating prior information, including predictive information , adversarial motion priors , and guide policies.

Algorithm 139

Algorithm System Architecture Deep Learning Deep Learning 139

AssemblyAI

NOVEMBER 8, 2023

This aligns with the scaling laws observed in other areas of deep learning, such as Automatic Speech Recognition and Large Language Models research. New Models The development of our latest models for Punctuation Restoration and Truecasing marks a significant evolution from the previous system.

System Architecture 58

System Architecture Deep Learning Deep Learning AI 58