Viso.ai

FEBRUARY 28, 2023

The software is written in optimized C and is able to take advantage of multicore processors (multi-threading). Advancing vision-based commercial applications by making portable, performance-optimized code available for free would increase the need for fast processors – the core business of Intel.

Computer Vision 52

Computer Vision Automation Algorithm Deep Learning 52

ODSC - Open Data Science

JUNE 1, 2023

Stream processor — Reads events from the streaming data platform and then takes some action on that event. We’ll also update our Streamlit dashboard to view the top-selling products and categories. Stores events in a durable manner so that downstream components can process them.

Data Science 98

Data Science Data Platform Machine Learning Python 98

PyImageSearch

MARCH 13, 2023

However, background pixels such as sky and road are often disregarded as object categories in instance segmentation tasks. As described in the Scene Parsing dataset page , the instance annotation masks are stored in RGB image format and structured as follows: The R(ed) channel encodes category ID. the split sky segments). .

Computer Vision 117

Computer Vision Deep Learning Neural Network Metadata 117

Unite.AI

MAY 8, 2024

in this category. in this category. DigitalOcean Hosting on Cloudways Most Popular Plan: 4GB RAM, 2 Core Processor, 80GB Storage, 4TB Bandwidth for $54/mo. Cloudways offers competitive pricing tiers that start from $14 USD per month, varying by cloud provider and plan type (Standard or Premium). Performance stats 4.8

Automation 130

Automation Machine Learning AI AI 130

Viso.ai

APRIL 5, 2024

Based on this paper , we can group encoders depending on the fusion mechanism to combine representations into three categories: Fusion encoders (which directly combine image and text embeddings), dual encoders (which process them separately before interaction), and hybrid methods that leverage both strengths.

Natural Language Processing 52

Natural Language Processing Computer Vision BERT AI 52

Snorkel AI

FEBRUARY 10, 2023

Hopefully it has the categories of risk that we’ve got. I’d say in general, historically there’s been more of a post-talk—let’s put on post-processors to catch these types of things. So we’re doing this closure set, a bit, around the possible risks in those harm sets. I think that’s still present.

Large Language Models 52

Large Language Models Chatbots Machine Learning Natural Language Processing 52

Snorkel AI

FEBRUARY 10, 2023

Hopefully it has the categories of risk that we’ve got. I’d say in general, historically there’s been more of a post-talk—let’s put on post-processors to catch these types of things. So we’re doing this closure set, a bit, around the possible risks in those harm sets. I think that’s still present.

Large Language Models 52

Large Language Models Chatbots Machine Learning Natural Language Processing 52

Dlabs.ai

MARCH 19, 2021

You can edit them like a Word doc using a built-in processor. Document classification is the process of arranging documents in classes or categories so that a person or company knows how to handle them. That’s why banks use OCR to make records, like customer tax histories, visible to employees. And ‘How does it work?’

Automation 52

Automation Auto-classification Natural Language Processing Artificial Intelligence 52

AWS Machine Learning Blog

MAY 9, 2023

Various use cases fall into this category, such as preprocessing or postprocessing steps composing a model ensemble. As always, be aware that resources such as processor or memory consumption can change and should be monitored so you can fine-tune and optimize inference performance.

Python 81

Python ML Auto-complete Deep Learning 81

The MLOps Blog

JUNE 27, 2023

Support different deployment patterns: The tool should support batch processing, real-time (streaming) inference, and inference processors (in the form of REST APIs or function calls). Some of the top MLOps tools for model serving and inference in 2023 BentoML BentoML is an open platform for machine learning in production.

Machine Learning 134

Machine Learning Metadata Data Quality Data Scientist 134

AWS Machine Learning Blog

MAY 2, 2023

With the ability to solve various problems such as classification and regression, XGBoost has become a popular option that also falls into the category of tree-based models. One of the most popular models available today is XGBoost. The FIL backend uses cuML’s libraries to use CPU or GPU cores to accelerate learning.

ML 64

ML Auto-classification Python Machine Learning 64

ODSC - Open Data Science

APRIL 10, 2023

So just eight lines of config: input_features: - name: description type: text - name: profile_image_url type: image output_features: - name: account_type type: category Generates a fully functional, and state-of-the-art ML pipeline. Each customization is just one extra line to the config.

ML 52

ML Machine Learning Data Science BERT 52

AWS Machine Learning Blog

JULY 13, 2023

For the DNN distributed training, in order to fully utilize the distributed processors, we multiplied the mini-batch size by the number of instances (four). The following table summarizes the setup and results. Problem type Image classification Binary classification Model DNN XGBoost Instance ml.c4.xlarge

Algorithm 67

Algorithm Deep Learning Neural Network ML 67

AWS Machine Learning Blog

JANUARY 9, 2023

AWS Graviton processors are custom built by Amazon Web Services using 64-bit Arm Neoverse cores to deliver the best price performance for your cloud workloads running on Amazon EC2. The ML application in this use case may want to use different custom models for recommending different categories of products.

ML 74

ML Auto-complete Auto-classification Deep Learning 74

Flipboard

AUGUST 1, 2023

One category of proposals deals with how AI systems interface with existing rules around copyright, privacy, and bias based on race, gender, sexual orientation, and disability. That — plus the sheer importance of an emerging technology like AI — makes it worth digging a little deeper into what action in DC might involve.

Explainability 119

Explainability Artificial Intelligence Artificial Intelligence AI 119