Marktechpost

JANUARY 3, 2024

The introduction of TSPP, a comprehensive benchmarking tool by researchers from Nvidia, is a major stride in addressing these challenges, offering a standardized approach for evaluating machine learning solutions in real-world scenarios. The methodology of TSPP is comprehensive, covering all aspects of the machine learning process.

Machine Learning 124

Machine Learning Deep Learning AI Researcher AI Research 124

ML @ CMU

JUNE 30, 2023

Many learning-based approaches have been proposed in response to the lack of semantic understanding of the classical pipeline for spatial navigation. But learned visual navigation policies have predominantly been evaluated in simulation. We find that modular learning works well in the real world, attaining a 90% success rate.

Robotics 88

Robotics Neural Network Explainability Machine Learning 88

IBM Journey to AI blog

JANUARY 11, 2024

Look behind the scenes of any slick mobile application or commercial interface, and deep beneath the integration and service layers of any major enterprise’s application architecture, you will likely find mainframes running the show. For them, the work may not seem as sexy as mobile app design or as agile as cloud native development.

Generative AI 270

Generative AI AI AI DevOps 270

Marktechpost

NOVEMBER 10, 2023

Deep learning is witnessing a rapid proliferation of Deep Neural Networks (DNNs) across diverse applications, spanning healthcare, speech recognition, and video analysis domains. This surge in DNN utilization has prompted a critical need for fortified security measures to safeguard sensitive data and ensure optimal performance.

Deep Learning 105

Deep Learning Neural Network AI AI 105

Marktechpost

MARCH 26, 2024

Deep learning models have recently gained significant popularity in the Artificial Intelligence community. Rather than being solid, modular software, many of the current implementations are more in the stage of proof-of-concept code. However, despite their great capacity, they frequently suffer from poor generalization.

Deep Learning 128

Deep Learning Python Neural Network Artificial Intelligence 128

Marktechpost

JUNE 16, 2023

One research area that has recently garnered a lot of interest from AI and deep learning communities is Visual Question Answering (VQA). Recently, a team of researchers from UC Berkeley and Google Research has proposed an approach called CodeVQA that addresses visual question answering using modular code generation.

Large Language Models 105

Large Language Models Natural Language Processing Computer Vision Python 105

Marktechpost

SEPTEMBER 26, 2023

In response to this insight, efforts have been made to create modular networks that make use of this phenomenon. FFF uses a differentiable binary tree, separating the input space into multiple regions while concurrently learning each sector’s borders and the associated neural blocks. Check out the Paper and Github.

Neural Network 124

Neural Network Large Language Models Deep Learning Artificial Intelligence 124

IBM Journey to AI blog

MAY 9, 2023

Over the past decade, deep learning arose from a seismic collision of data availability and sheer compute power, enabling a host of impressive AI capabilities. Obsidian models utilize a new modular architecture developed by IBM Research, providing high inference efficiency and levels of performance across a variety of tasks.

Data Platform 334

Data Platform AI AI Automation 334

Unite.AI

FEBRUARY 23, 2024

The specialization is centered around practical, hands-on learning, ensuring that students don't just understand the theories but can effectively apply them in various contexts. Here, learners delve into the art of crafting prompts for large language models like ChatGPT, learning how to leverage their capabilities for a range of applications.

Prompt Engineer 272

Prompt Engineer Prompt Engineering Large Language Models Generative AI 272

AWS Machine Learning Blog

FEBRUARY 23, 2023

Over the last 10 years, a number of players have developed autonomous vehicle (AV) systems using deep neural networks (DNNs). This post covers build approaches, different functional units of ADAS, design approaches to building a modular pipeline, and the challenges of building an ADAS system.

Automation 90

Automation Neural Network Machine Learning Data Scientist 90

Marktechpost

NOVEMBER 28, 2023

Since the advent of deep learning, cross-modal interfaces have frequently relied on deep embeddings. Employing text eliminates the need for the adaptive training often associated with deep embeddings. If you are interested and want to learn more about it, please feel free to refer to the links cited below.

Large Language Models 126

Large Language Models Deep Learning LLM AI Researcher 126

Towards AI

SEPTEMBER 4, 2023

The goal is to keep you up to date with machine learning projects, research papers, and concepts. The experience and principles of DSPy shows some ressemble with PyTorch in the deep learning space. TheSequence is a no-BS (meaning no hype, no news, etc) ML-oriented newsletter that takes 5 minutes to read.

LLM 99

LLM Python Deep Learning Neural Network 99

Marktechpost

JUNE 30, 2023

With surface reconstruction being a crucial aspect of 3D scanning, immense research is ongoing to come up with various suitable techniques for surface reconstruction from 3D scans using unsupervised machine learning. For example, idea transfer is observed from Mono-NeuS to NeuS.

Neural Network 98

Neural Network Computer Vision AI Tools Machine Learning 98

Marktechpost

JULY 22, 2023

Many machine learning algorithms have been used in discovering correlations between the chemical structure and characteristics of such molecules due to significant technological advancements in recent years. But these models significantly lack predictive quality when it comes to activity prediction.

AI Tools 52

AI Tools Deep Learning Natural Language Processing Computer Vision 52

NVIDIA

MARCH 18, 2024

On stage before a crowd of 10,000-plus, NVIDIA founder and CEO Jensen Huang demonstrated Project GR00T , which stands for Generalist Robot 00 Technology, a general-purpose foundation model for humanoid robot learning. Isaac Lab is an open-source, performance-optimized application for robot learning built on the Isaac Sim platform.

Robotics 126

Robotics Generative AI Machine Learning AI 126

TheSequence

FEBRUARY 25, 2024

Edge 374: We deep dive into the things we know about the architecture powering Sora, OpenAI’s fascinating text-to-video model. Pre-Instruction Tuning Researchers from Carnegie Mellon University, Meta AI and University of Washington introducing pre-instruction-tuning a method for improving continuing learning in LLMs.

LLM 114

LLM Generative AI OpenAI ML 114

Unite.AI

JANUARY 23, 2024

LLMs are a class of deep learning models that are pretrained on massive text corpora, allowing them to generate human-like text and understand natural language at an unprecedented level. Word2Vec pioneered the use of shallow neural networks to learn embeddings by predicting neighboring words.

Large Language Models 130

Large Language Models Prompt Engineer Prompt Engineering LLM 130

Heartbeat

NOVEMBER 1, 2023

A Deep Dive into Structured Language Model Interactions Photo by Sigmund on Unsplash Language models have rapidly evolved to become a cornerstone of many AI-driven applications. Want to learn how to build modern software with LLMs using the newest tools and techniques in the field? What is a Prompt Template?

LLM 52

LLM Prompt Engineer Prompt Engineering Data Scientist 52

Towards AI

APRIL 5, 2023

Rustic Learning: Machine Learning in Rust — Part 2: Regression and Classification An Introduction to Rust’s Machine Learning crates Photo by Malik Skydsgaard on Unsplash Rustic Learning is a series of articles that explores the use of Rust programming language for machine learning tasks.

Machine Learning 94

Machine Learning Neural Network Algorithm Python 94

Google Research AI blog

FEBRUARY 7, 2023

The explosion in deep learning a decade ago was catapulted in part by the convergence of new algorithms and architectures, a marked increase in data, and access to greater compute. One of the questions in the quest for a modular deep network is how a database of concepts with corresponding computational modules could be designed.

Deep Learning 118

Deep Learning Algorithm Neural Network ML 118

AWS Machine Learning Blog

APRIL 5, 2024

It’s based on the same proven, highly scalable, deep learning technology developed by Amazon’s computer vision scientists to analyze billions of images and videos daily. It requires no machine learning (ML) expertise to use and we’re continually adding new computer vision features to the service.

Computer Vision 104

Computer Vision Machine Learning Deep Learning Artificial Intelligence 104

Viso.ai

JANUARY 9, 2024

Viso Suite: Enterprise no-code computer vision solution In the following, we will list some of the most powerful and popular computer vision software tools for data scientists, machine learning, and development teams. The modular architecture allows using any camera (CCTV, IP, USB, etc.), or ML framework.

Computer Vision 52

Computer Vision Deep Learning Neural Network Machine Learning 52

ODSC - Open Data Science

FEBRUARY 9, 2023

That responsibility usually falls in the hands of a role called Machine Learning (ML) Engineer. It’s a good idea to clean up the code first, in particular, to modularize it. We show an example of modularizing the data treatment in this tutorial on deploying models into production using notebooks and Wallaroo.

Data Scientist 105

Data Scientist Machine Learning ML Engineer ML 105

AWS Machine Learning Blog

APRIL 11, 2024

The company is combining this expertise with the highly scalable, reliable, and secure AWS Cloud infrastructure to help customers run advanced graphics, machine learning, and generative AI workloads at an accelerated pace. AWS HealthOmics with the NVIDIA BioNeMo platform will accelerate generative AI in biology and drug discovery. (To

Generative AI 97

Generative AI Robotics Large Language Models AI 97

Heartbeat

JUNE 5, 2023

In recent years, machine learning has exploded in popularity because of its wide range of potential uses in fields including healthcare, finance, eCommerce, and the arts. However, managing machine learning projects can be challenging, especially as the size and complexity of the data and models increase. This is where Comet comes in.

ML 59

ML Machine Learning Natural Language Processing Data Scientist 59

deepsense.ai

FEBRUARY 6, 2024

Harnessing the power of deep learning for image segmentation is revolutionizing numerous industries, but often encounters a significant obstacle – the limited availability of training data. Over the years, various successful deep learning architectures have been developed for this task, such as U-Net or SegFormer.

Prompt Engineer 82

Prompt Engineer Prompt Engineering NLP Computer Vision 82

Pickl AI

JUNE 7, 2023

Face Recognition One of the most effective Github Projects on Data Science is a Face Recognition project that makes use of Deep Learning and Histogram of Oriented Gradients (HOG) algorithm. This renowned unsupervised machine learning approach splits data into K clusters based on similarities.

Data Science 52

Data Science Deep Learning Machine Learning Software Development 52

Google Research AI blog

AUGUST 21, 2023

You can also learn more about the Google research being presented at INTERSPEECH 2023 below (Google affiliations in bold ). In addition, online attendees are encouraged to visit our virtual booth in Topia where you can get up-to-date information on research and opportunities at Google. demos and Q&A sessions). Sainath , Pedro M.

AI 70

AI AI 70

Viso.ai

NOVEMBER 19, 2023

This includes various products related to different aspects of AI, including but not limited to tools and platforms for deep learning, computer vision, natural language processing, machine learning, cloud computing, and edge AI. Google Cloud AI Platform With Google Cloud AI, you get a set of different machine learning tools.

Computer Vision 97

Computer Vision Natural Language Processing Machine Learning Deep Learning 97

ODSC - Open Data Science

FEBRUARY 6, 2024

EVENT — ODSC East 2024 In-Person and Virtual Conference April 23rd to 25th, 2024 Join us for a deep dive into the latest data science and AI trends, tools, and techniques, from LLMs to data analytics and from machine learning to responsible AI. Learn more about our upcoming events here. Interested in attending an ODSC event?

Business Intelligence 52

Business Intelligence Data Science Responsible AI Machine Learning 52

Bugra Akyildiz

NOVEMBER 26, 2022

To learn the token-to-expert affinity, our method produces a token-to-expert score matrix that is used to make routing decisions. Netflix built a deep learning based encoder and decoder for downscaling videos. Netflix built a deep learning based encoder and decoder for downscaling videos.

Neural Network 52

Neural Network Deep Learning Algorithm OpenAI 52

ODSC - Open Data Science

SEPTEMBER 27, 2023

Get ready for 300+ hours of hands-on training sessions, workshops, and talks on Generative AI, LLMs, MLOps, Machine Learning, Deep Learning, and more. Learn about foundational concepts such as directed acrylic graphs (DAGs), Jedeau Pearl’s “do” operator, and keeping domain expertise in the loop.

Neural Network 52

Neural Network Data Scientist Machine Learning Explainability 52

Bugra Akyildiz

JANUARY 20, 2024

Modular design: AMIE is modular, allowing for independent development and refinement of its various components (e.g., They cover various papers in different categories: Deep learning and search ranking: One of the challenges in search ranking is that users are searching over a period of days or weeks, and not minutes.

Natural Language Processing 52

Natural Language Processing NLP AI AI 52

Bugra Akyildiz

NOVEMBER 24, 2022

","domain":"github.com"},"video_url":null,"belowTheFold":false}"> Bugra Akyildiz @bugraa Pen and Paper Exercises for Machine Learning: arxiv.org/pdf/2206.13446… A number of problems in ML and their solutions. .","domain":"github.com"},"video_url":null,"belowTheFold":false}">

Deep Learning 52

Deep Learning Neural Network Machine Learning ML 52

Heartbeat

NOVEMBER 10, 2023

Its modular architecture also allows for easy customization and modification of chain components. The chain’s declarative and modular nature allows for easy components swapping. Its modular and declarative nature ensures adaptability to various use cases while simplifying integration and customization processes.

LLM 52

LLM Deep Learning Natural Language Processing OpenAI 52

AWS Machine Learning Blog

FEBRUARY 20, 2024

In this post, we discuss deploying scalable machine learning (ML) models for diarizing media content using Amazon SageMaker , with a focus on the WhisperX model. The transparent and modular model architecture allows flexibility, because each component of the model can be swapped out as needed in the future. __dict__[WAV2VEC2_MODEL].get_model(dl_kwargs={"model_dir":

Metadata 95

Metadata Auto-complete Machine Learning Deep Learning 95

Viso.ai

FEBRUARY 11, 2024

Detectron2 is a deep learning model built on the Pytorch framework, which is said to be one of the most promising modular object detection libraries being pioneered. learning rate, batch size), and provide paths to dataset and other necessary resources. It then teaches the model to “look” at them and “see” things.

Computer Vision 52

Computer Vision Robotics Deep Learning Large Language Models 52