Viso.ai

DECEMBER 20, 2023

This article will cover the following topics: What is CVAT? Businesses and organizations popularly use CVAT for image annotation, in combination with a broad set of additional tools for AI model management, application development, DevOps, deployment, operations, and edge device management. Get a demo or the whitepaper.

Computer Vision 98

Computer Vision Deep Learning Neural Network Automation 98

NVIDIA

OCTOBER 3, 2023

About the Maker KB, who has a background in mechanical engineering, became fascinated with AI and robotics during the pandemic, when he spent his free time searching up educational YouTube videos on the topics. It’s the software of the future.” Sometimes, people don’t have the money to buy an electric wheelchair,” KB said. “In

Robotics 127

Robotics Computer Vision Deep Learning Algorithm 127

Marktechpost

JULY 19, 2023

The team has used the example of extracting the device classification attribute from FDA reports for medical devices to illustrate this. EVAPORATE has been evaluated on 16 sets of documents across a range of formats, topics, and attribute types.

Large Language Models 63

Large Language Models LLM AI Tools AI 63

Unite.AI

MAY 30, 2023

I studied how machines and humans could interact in terms of biomechatronic devices and biotechnology, things like artificial limbs and prosthesis. The bionic limbs and prosthetic technologies are about building devices, building systems, building technology that helps people live the lives that they want to live.

Machine Learning 130

Machine Learning AI AI Robotics 130

Dlabs.ai

MARCH 7, 2024

’ Conceived as a Chrome extension, Nabla Copilot is a virtual aide for medical professionals. It’s being utilized by practitioners not only in France but across the United States and has been embraced by approximately 20 clinics—both digital and traditional—boasting considerable medical teams.

ChatGPT 110

ChatGPT AI AI AI Chatbots 110

Google Research AI blog

FEBRUARY 23, 2023

Posted by Greg Corrado, Distinguished Scientist, and Yossi Matias, VP Engineering and Research, Google Research (This is Part 8 in our series of posts covering different topical areas of research at Google. We are in the early stages of a wide-spread transformation in portable medical imaging.

Convolutional Neural Networks 104

Convolutional Neural Networks ML Neural Network Deep Learning 104

TheSequence

APRIL 28, 2024

Created Using Ideogram Next Week in The Sequence: Edge 391: Our series about autonomous agents continues with the fascinating topic of function calling. 🤖 Cool AI Tech Releases OpenELM Apple open sourced OpenELM, a family of small LLMs optimized to run on devices —> Read more.

Neural Network 52

Neural Network Generative AI LLM Data Science 52

Mlearning.ai

MARCH 15, 2023

How the emergence of this technique has changed the machine-learning process for edge devices within Industry 4.0 During training, data collected from edge devices (clients) are divided into batches, where the model learns from these batches through a Stochastic Gradient Descent (SGD) methodology.

Machine Learning 52

Machine Learning ML Automation Algorithm 52

ODSC - Open Data Science

APRIL 26, 2023

Patient health records analysis It is no secret that the bane of the medical profession is paperwork, especially paperwork related to patient health. This is seen by NLP models analyzing medical literature and regulatory documents. This is seen by NLP models analyzing medical literature and regulatory documents.

Natural Language Processing 52

Natural Language Processing Algorithm NLP Machine Learning 52

Heartbeat

APRIL 4, 2023

as nn import torchvision.models as models device = torch.device("cuda" if torch.cuda.is_available() else "cpu") # Load the VGG-19 CNN vgg = models.vgg19(pretrained=True).features features # Set the device to run on vgg.to(device) We can load the VGG-19 CNN using the following python code: import torch import torch.nn

Convolutional Neural Networks 52

Convolutional Neural Networks Neural Network Deep Learning Computer Vision 52

Flipboard

AUGUST 7, 2023

As chatbots become more sophisticated, however, they may inadvertently help individuals with malicious intent to upskill on topics that empower them to do harm. As biological design tools become more powerful, they will enable many beneficial advances like the creation of new medications based on novel proteins or designer viruses.

ChatGPT 122

ChatGPT Large Language Models Artificial Intelligence Artificial Intelligence 122

Viso.ai

DECEMBER 19, 2023

We will cover the following topics: What Is Image Classification? This allows moving ML computing close to the source of data, specifically to edge devices (computers) that are connected to cameras. Today, the use of convolutional neural networks (CNN) is the state-of-the-art method for image classification.

Convolutional Neural Networks 98

Convolutional Neural Networks Neural Network Computer Vision Deep Learning 98

PyImageSearch

JANUARY 2, 2023

It has enormous potential to be mined and analyzed to facilitate better and more personalized care, reduce medical errors, and enable earlier disease diagnoses. Computer Vision and Deep Learning for Healthcare Benefits Unlocking Data for Health Research The volume of healthcare-related data is increasing at an exponential rate.

Computer Vision 52

Computer Vision Deep Learning Neural Network Machine Learning 52

IBM Journey to AI blog

APRIL 26, 2024

One area that has not seen much innovation is at the far edge and on constrained devices. We see some versions of AI apps running locally on mobile devices with embedded language translation features, but we haven’t reached the point where LLMs generate value outside of cloud providers. Is hybrid AI the answer?

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Hybrid AI LLM Large Language Models AI 225

Viso.ai

FEBRUARY 11, 2024

In this article, we will cover the following topics: Computer Vision vs. Robotics Vision vs. Machine Vision Applications of Computer Vision in Robotics Challenges of Computer Vision in Robotics Breakthroughs in Robotics CV Models About us: Viso Suite is our no-code, enterprise computer vision software.

Computer Vision 52

Computer Vision Robotics Natural Language Processing Data Scarcity 52

Viso.ai

FEBRUARY 11, 2024

In this article, we will cover the following topics: Computer Vision vs. Robotics Vision vs. Machine Vision Applications of Computer Vision in Robotics Challenges of Computer Vision in Robotics Breakthroughs in Robotics CV Models About us: Viso Suite is our no-code, enterprise computer vision software.

Computer Vision 52

Computer Vision Robotics Natural Language Processing Data Scarcity 52

Dlabs.ai

NOVEMBER 10, 2022

Meet Freddy Mercury At 74 Years Old As mentioned at the start, we’ll start with a slightly less upbeat topic: death. This improvement is significant for the medical world because doctors can help patients adjust their lifestyles to prevent or significantly delay heart disease by detecting the risk. Let’s dive in!

Robotics 52

Robotics AI AI Artificial Intelligence 52

Pickl AI

JULY 20, 2023

NLP techniques help extract insights, sentiment analysis, and topic modeling from text data. 9. Healthcare Analytics Projects: Healthcare analytics focuses on using data to improve patient outcomes, optimize healthcare operations, and support medical research.

Big Data 40

Big Data Natural Language Processing Machine Learning Python 40

Viso.ai

FEBRUARY 3, 2024

Medical Diagnosis In medical diagnosis, missing even one case can have devastating consequences. CV models for analyzing medical images should generally have high recall for correctly classifying as many true positives as possible, even if it leads to some false positives or high precision.

Computer Vision 52

Computer Vision Machine Learning Categorization ML 52

Unite.AI

MARCH 21, 2024

When it comes to the topic of technology and its intersection with education, we are excited about the excellent opportunities to better serve a range of learning needs. Some critics argue that encouraging people to spend more time on devices could prove to be a problem.

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Artificial Intelligence Artificial Intelligence AI AI 147

Towards AI

APRIL 30, 2024

What happened this week in AI by Louie Our focus this week was on real-world testing and fine-tuning of LLama-3 and Phi-3, as well as some exciting progress in medical AI. This week, in medical AI, we were excited to see the release of Med-Gemini, a fine-tuned multimodal model built on the Gemini-1.0/1.5 billion parameters.

AI 91

AI AI LLM Prompt Engineer 91

Viso.ai

DECEMBER 10, 2023

Therefore, we will cover the following topics: What is image recognition? To overcome those limits of pure-cloud solutions, recent image recognition trends focus on extending the cloud by leveraging Edge Computing with on-device machine learning. Medical image analysis is becoming a highly profitable subset of artificial intelligence.

Convolutional Neural Networks 98

Convolutional Neural Networks Computer Vision Neural Network Deep Learning 98

Viso.ai

JANUARY 2, 2024

This makes them suitable for real-world applications, especially on devices with limited computational capacity. Text Processing with CNNs In text processing, CNNs are remarkably efficient, particularly in tasks like sentiment analysis, topic categorization, and language translation. Howard et al.

Convolutional Neural Networks 52

Convolutional Neural Networks Neural Network Computer Vision Data Scarcity 52

PyImageSearch

NOVEMBER 6, 2023

You’ll also appreciate the pivotal role of image segmentation in various applications, from medical imaging to autonomous driving, and how U-Net stands out as a beacon in this domain. Device Configuration ( DEVICE ): On Line 24 , we determine the device for training and testing the model. The config.py

Computer Vision 67

Computer Vision Neural Network Deep Learning Categorization 67

The MLOps Blog

APRIL 20, 2023

In this blog post, I’ll share my own experiences and the hard-won insights I’ve gained from designing, building, and deploying cutting-edge CV models across various platforms like cloud, on-premise, and edge devices. So if you have such prerequisites around your data, on-premise deployment may be the way to go for you.

Computer Vision 64

Computer Vision Auto-classification Neural Network Convolutional Neural Networks 64

AssemblyAI

MAY 23, 2023

A language model can be fine-tuned on medical documents for specialized tasks in the medical field. However, it's important to note that LMs don't store information like standard computer storage devices (hard drives). Neural Networks and Transformers What determines a language model's effectiveness?

Large Language Models 130

Large Language Models Neural Network LLM Chatbots 130

Viso.ai

MAY 20, 2023

Applications that use real-time object detection models include video analytics , robotics, autonomous vehicles, multi- object tracking and object counting, medical image analysis, and so on. Thus, Edge AI applications form distributed edge systems with multiple, connected edge devices or virtual edge nodes (MEC or cloud).

Algorithm 52

Algorithm Computer Vision Deep Learning Neural Network 52

deepsense.ai

MAY 26, 2023

Medical leaflet – one question asked. Medical leaflet again, with more questions and a showcase of the highlights. Indeed, it is a challenge many have experienced; it is mentioned in the Bloomberg article , the official limitations of GPT-4 (the most powerful model), and it is easy to find more articles on the topic.

OpenAI 52

OpenAI Neural Network Prompt Engineer Prompt Engineering 52

Viso.ai

DECEMBER 1, 2023

– Source @teenybiscuit If you are looking for a more detailed guide about the topic, we recommend our complete guide about the differences between Deep Learning vs. Machine Learning. Deploy an AI model To deploy and run an AI model, a computing device or server is needed that provides a lot of processing power and storage.

AI Modeling 98

AI Modeling Neural Network Computer Vision Deep Learning 98

Viso.ai

DECEMBER 3, 2023

It supports different hardware architectures, such as CUDA GPUs, OpenCL GPUs, or CPU-only devices. The lightweight version is efficient enough for Edge inference applications with on-device processing in real-time with edge devices. to run on lightweight devices such as browsers or mobile devices.

Deep Learning 98

Deep Learning Computer Vision Neural Network Robotics 98

PyImageSearch

MARCH 13, 2023

self-driving , quality assurance , medical imaging , fashion , satellite imaging , etc.). Use GPU if available device = torch.device("cuda" if torch.cuda.is_available() else "cpu") model.to(device) to(device), mask_labels=[labels.to(device) device) for labels in batch["mask_labels"]], class_labels=[labels.to(device)

Computer Vision 117

Computer Vision Deep Learning Neural Network Metadata 117

AWS Machine Learning Blog

APRIL 19, 2023

In a real-world scenario, features related to cardholder spending patterns would only form part of the model’s feature set, and we can include information about the merchant, the cardholder, the device used to make the payment, and any other data that may be relevant to detecting fraud. The application is written using Apache Flink SQL.

ML 77

ML Data Scientist Big Data Machine Learning 77

Viso.ai

APRIL 17, 2024

Natural Language Processing (NLP) : 1D convolutions can help in tasks such as sentiment analysis, topic classification, and even in generating text. Medical Imaging : Analyzing 3D scans, such as MRI or CT scans, where the additional dimension represents depth, providing more contextual information.

Convolutional Neural Networks 52

Convolutional Neural Networks Neural Network Deep Learning Natural Language Processing 52

Viso.ai

DECEMBER 6, 2023

In this regard, this article will explore the following topics: The state of computer vision in 2024 What are the most popular computer vision tasks? Therefore, edge devices like servers or computers are connected to cameras and run AI models in real-time applications. About Us: Viso.ai Edge AI involves processing data near the source.

Computer Vision 52

Computer Vision Convolutional Neural Networks Neural Network Categorization 52

Viso.ai

APRIL 18, 2024

Medical image analysis (Improved segmentation of organs and tissues) In the medical field, panoptic segmentation aids in precisely segmenting organs, tissues and anatomical structures from imaging data like CT scans or MRI images. This distinction between objects and surfaces enhances the AR experience.

Computer Vision 52

Computer Vision Robotics Deep Learning Algorithm 52

Mlearning.ai

AUGUST 6, 2023

Getting a foot into the door I received my first permanent role (subject to 6 months probation) as a Machine Learning Engineer at a Chinese AI start-up that works with medical images, after getting through three rounds of interviews. Do we really need to use ML, or can some rule-based approach work just as well?

Data Science 52

Data Science Machine Learning Data Scientist Computer Vision 52

Google Research AI blog

JANUARY 18, 2023

Over the next several weeks, we will discuss novel developments in research topics ranging from responsible AI to algorithms and computer systems to science, health and robotics. accuracy on US Medical License Exam questions ( MedQA ), surpassing the prior ML state-of-the-art by over 17%. These are complex topics to grapple with.

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Computer Vision Auto-classification Large Language Models Neural Network 132