#computer-vision

[ follow ]
#ai

New AI tool can forge a user's handwriting instantly - and convincingly, researchers say

Computer scientists in the Middle East have created an AI program that can mimic human handwriting at an indistinguishable level.
The breakthrough was made by using a computer neural network known as 'vision transformers' to analyze handwritten text and capture a person's writing style.

Exclusive: Roboflow, vision AI startup, raises $40 million Series B

Roboflow enables various professions to leverage visual AI tools, transforming data perception across multiple industries.

Opportunities for AI in Accessibility

AI can be used in both inclusive and exclusive ways, depending on how it is implemented.
Computer-vision models have limitations in generating accurate alternative text for images.

Evaluating Promptable Segmentation with Uniform Point Grids and Bounding Boxes on Diverse Datasets | HackerNoon

The Uni-OVSeg framework significantly improves segmentation tasks by utilizing a promptable approach across diverse datasets.
Prompt segmentation enhances accuracy in mask predictions in various computer vision applications.

After selling his last AI startup to Meta, Beyond Presence's founder nabs $3.1M to build realistic avatars | TechCrunch

Beyond Presence aims to develop hyper-realistic avatars for AI-driven interactions, focusing on sectors like customer service and recruitment.

AI Lexicon I DW 05/17/2024

Image recognition categorizes digital images or videos into specific items such as people, objects, or places, distinct from computer vision extracting information from visual data.

New AI tool can forge a user's handwriting instantly - and convincingly, researchers say

Computer scientists in the Middle East have created an AI program that can mimic human handwriting at an indistinguishable level.
The breakthrough was made by using a computer neural network known as 'vision transformers' to analyze handwritten text and capture a person's writing style.

Exclusive: Roboflow, vision AI startup, raises $40 million Series B

Roboflow enables various professions to leverage visual AI tools, transforming data perception across multiple industries.

Opportunities for AI in Accessibility

AI can be used in both inclusive and exclusive ways, depending on how it is implemented.
Computer-vision models have limitations in generating accurate alternative text for images.

Evaluating Promptable Segmentation with Uniform Point Grids and Bounding Boxes on Diverse Datasets | HackerNoon

The Uni-OVSeg framework significantly improves segmentation tasks by utilizing a promptable approach across diverse datasets.
Prompt segmentation enhances accuracy in mask predictions in various computer vision applications.

After selling his last AI startup to Meta, Beyond Presence's founder nabs $3.1M to build realistic avatars | TechCrunch

Beyond Presence aims to develop hyper-realistic avatars for AI-driven interactions, focusing on sectors like customer service and recruitment.

AI Lexicon I DW 05/17/2024

Image recognition categorizes digital images or videos into specific items such as people, objects, or places, distinct from computer vision extracting information from visual data.
moreai
#artificial-intelligence

Understanding Types of AI: A Simple Guide for Beginners (2024) - Shopify

There are different types of artificial intelligence, from basic AI like chatbots to advanced AI for market analysis.

How can generative AI help my business?

AI's reach varies by sector, impacting productivity and operational processes differently.

Invisible touch: AI can feel and measure surfaces

AI is making progress in mimicking human sensory perceptions, notably in developing touch through innovative methods combining quantum technology and AI.

Text-to-Image Diffusion Models and Personalized Animation Techniques | HackerNoon

Text-to-image diffusion models enhance image generation by utilizing innovative techniques and architectures.
The inclusion of language models leads to higher quality and better alignment of generated images.

Surrey: AI to help turn dog pics into 3D models

AI system trained to predict 3D pose of dogs from 2D images using Grand Theft Auto
Research created a database of virtual dogs from Grand Theft Auto to fine-tune AI predictions from real dog photos

6-month-old baby named Sam teaches AI how humanity develops

Artificial intelligence can help in understanding how humans develop.
Researchers trained a model using first-person video footage from a child's perspective.

Understanding Types of AI: A Simple Guide for Beginners (2024) - Shopify

There are different types of artificial intelligence, from basic AI like chatbots to advanced AI for market analysis.

How can generative AI help my business?

AI's reach varies by sector, impacting productivity and operational processes differently.

Invisible touch: AI can feel and measure surfaces

AI is making progress in mimicking human sensory perceptions, notably in developing touch through innovative methods combining quantum technology and AI.

Text-to-Image Diffusion Models and Personalized Animation Techniques | HackerNoon

Text-to-image diffusion models enhance image generation by utilizing innovative techniques and architectures.
The inclusion of language models leads to higher quality and better alignment of generated images.

Surrey: AI to help turn dog pics into 3D models

AI system trained to predict 3D pose of dogs from 2D images using Grand Theft Auto
Research created a database of virtual dogs from Grand Theft Auto to fine-tune AI predictions from real dog photos

6-month-old baby named Sam teaches AI how humanity develops

Artificial intelligence can help in understanding how humans develop.
Researchers trained a model using first-person video footage from a child's perspective.
moreartificial-intelligence
#open-vocabulary-segmentation

Open-Vocabulary Segmentation with Unpaired Mask-Text Supervision | HackerNoon

Uni-OVSeg offers a new method for open-vocabulary segmentation using independent data, improving scalability and performance.

The Future of Segmentation: Low-Cost Annotation Meets High Performance | HackerNoon

The paper presents a framework for advanced open-vocabulary segmentation in computer vision.

Defining Open-Vocabulary Segmentation: Problem Setup, Baseline, and the Uni-OVSeg Framework | HackerNoon

The article presents the Uni-OVSeg framework for efficient open-vocabulary segmentation, improving segmentation performance and interpretability.

Open-Vocabulary Segmentation with Unpaired Mask-Text Supervision | HackerNoon

Uni-OVSeg offers a new method for open-vocabulary segmentation using independent data, improving scalability and performance.

The Future of Segmentation: Low-Cost Annotation Meets High Performance | HackerNoon

The paper presents a framework for advanced open-vocabulary segmentation in computer vision.

Defining Open-Vocabulary Segmentation: Problem Setup, Baseline, and the Uni-OVSeg Framework | HackerNoon

The article presents the Uni-OVSeg framework for efficient open-vocabulary segmentation, improving segmentation performance and interpretability.
moreopen-vocabulary-segmentation

The Impact of Mask-Text Alignment and Multi-Scale Ensemble on Uni-OVSeg's Segmentation Accuracy | HackerNoon

Uni-OVSeg significantly improves object and text alignment in images, enhancing performance metrics in segmentation tasks.
#ai-research

China tops the U.S. on AI research in over half of the hottest fields: report

CSET's research found global AI research doubled from 2017-2022, with computer vision, natural language processing, and robotics leading the way.

Datasets and Evaluation Methods for Open-Vocabulary Segmentation Tasks | HackerNoon

The Uni-OVSeg framework significantly enhances open-vocabulary segmentation through innovative techniques and extensive datasets.

From Birdwatching to Fairness in Image Generation Models | HackerNoon

Diverse datasets enhance the evaluation of text-to-image models, ensuring robust assessments of image quality and text-image alignment.

China tops the U.S. on AI research in over half of the hottest fields: report

CSET's research found global AI research doubled from 2017-2022, with computer vision, natural language processing, and robotics leading the way.

Datasets and Evaluation Methods for Open-Vocabulary Segmentation Tasks | HackerNoon

The Uni-OVSeg framework significantly enhances open-vocabulary segmentation through innovative techniques and extensive datasets.

From Birdwatching to Fairness in Image Generation Models | HackerNoon

Diverse datasets enhance the evaluation of text-to-image models, ensuring robust assessments of image quality and text-image alignment.
moreai-research
#graph-neural-networks

Understanding the Generalization Performance of GNNs: Topology Awareness and Future Directions | HackerNoon

GNNs' topology awareness is crucial for their generalization performance, particularly in semi-supervised tasks.

Understanding Topology Awareness in Graph Neural Networks | HackerNoon

GNN topology awareness impacts generalization performance, revealing potential issues with unfair generalization across different structural groups.

Graph Learning at the Scale of Modern Data Warehouses

Graph neural networks (GNNs) are advantageous for machine learning on graph data.
Deep learning has revolutionized complex tasks like computer vision and natural language processing.

Understanding the Generalization Performance of GNNs: Topology Awareness and Future Directions | HackerNoon

GNNs' topology awareness is crucial for their generalization performance, particularly in semi-supervised tasks.

Understanding Topology Awareness in Graph Neural Networks | HackerNoon

GNN topology awareness impacts generalization performance, revealing potential issues with unfair generalization across different structural groups.

Graph Learning at the Scale of Modern Data Warehouses

Graph neural networks (GNNs) are advantageous for machine learning on graph data.
Deep learning has revolutionized complex tasks like computer vision and natural language processing.
moregraph-neural-networks
#innovation

The Most Capable Open Source AI Model Yet Could Supercharge AI Agents

Molmo, an open source multimodal AI model, enhances accessibility for developers to create advanced AI agents that can perform useful tasks on computers.

Norwegian startup Muybridge emerges from stealth to 'reinvent' the camera

Mybridge aims to transform photography through real-time computer vision technology that eliminates the limitations of traditional cameras.

The Most Capable Open Source AI Model Yet Could Supercharge AI Agents

Molmo, an open source multimodal AI model, enhances accessibility for developers to create advanced AI agents that can perform useful tasks on computers.

Norwegian startup Muybridge emerges from stealth to 'reinvent' the camera

Mybridge aims to transform photography through real-time computer vision technology that eliminates the limitations of traditional cameras.
moreinnovation
#user-experience

You Can Now Search Google Via Video Thanks to New Lens Feature

Google Lens now supports video search, allowing users to ask questions about objects in real-time, leveraging AI capabilities to provide instant information.

Rabbit R1 review: A $199 AI toy that fails at almost everything

Standalone AI gadgets like Rabbit R1 are viewed as hyped devices without real user benefits.

You Can Now Search Google Via Video Thanks to New Lens Feature

Google Lens now supports video search, allowing users to ask questions about objects in real-time, leveraging AI capabilities to provide instant information.

Rabbit R1 review: A $199 AI toy that fails at almost everything

Standalone AI gadgets like Rabbit R1 are viewed as hyped devices without real user benefits.
moreuser-experience

Apparate: Early-Exit Models for ML Latency and Throughput Optimization - Evaluation and Methodology | HackerNoon

Apparate improves latency in NLP and CV workloads while maintaining accuracy, offering advantages over traditional early-exit models.

Using AWS Rekognition to Power Object Detection for Recommendations and Content Moderation | HackerNoon

Content analysis is vital for enhancing user experience and ensuring app store compliance.
Automated tools are essential for effective moderation of user-generated content as app usage scales.
Personalized content recommendations improve engagement based on user interaction with media.
#image-processing

What is Image Processing? Everything you need to Know!

Deep learning has significantly impacted technology, especially in computer vision and image processing.

Efficient Detection of Defects in Magnetic Labyrinthine Patterns: Related Works | HackerNoon

The importance of junctions and terminals detection in multiple scientific contexts highlights its application in computer vision and shape recognition.

What is Image Processing? Everything you need to Know!

Deep learning has significantly impacted technology, especially in computer vision and image processing.

Efficient Detection of Defects in Magnetic Labyrinthine Patterns: Related Works | HackerNoon

The importance of junctions and terminals detection in multiple scientific contexts highlights its application in computer vision and shape recognition.
moreimage-processing

EV charging sucks - can smart cameras make it better?

Revel is simplifying EV charging by using computer vision technology to streamline the payment and identification process.

Shopsense AI lets music fans buy dupes inspired by red-carpet looks at the VMAs | TechCrunch

Shopsense AI at the VMAs innovatively linked fashion with viewer engagement, enabling instant shopping of outfits seen on screen.

Mobileye cuts LiDAR division, 100 jobs

Mobileye is discontinuing its LiDAR research, shifting focus to computer vision and imaging radar development, reflecting evolving priorities in autonomous vehicle technology.
#data-augmentation

The Effect Of Data Augmentation-Induced Class-Specific Bias Is Influenced By Data, Regularization | HackerNoon

Data augmentation improves model generalization but may introduce class-specific biases that affect accuracy inconsistent across datasets.

A Data-centric Approach to Class-specific Bias in Image Data Augmentation: Abstract and Intro | HackerNoon

Data augmentation can improve model generalization but may unevenly introduce class-specific biases that need careful consideration.

Class-specific Bias in Image Data Augmentation: Data Augmentation Robustness Scouting | HackerNoon

Data Augmentation Robustness Scouting optimizes model performance by analyzing augmentation intensity's effects on accuracy and bias.

A Data-centric Approach to Class-specific Bias in Image Data Augmentation: Appendices A-L | HackerNoon

Data augmentation can improve model performance but may cause bias, leading to varied class accuracy.

The Effect Of Data Augmentation-Induced Class-Specific Bias Is Influenced By Data, Regularization | HackerNoon

Data augmentation improves model generalization but may introduce class-specific biases that affect accuracy inconsistent across datasets.

A Data-centric Approach to Class-specific Bias in Image Data Augmentation: Abstract and Intro | HackerNoon

Data augmentation can improve model generalization but may unevenly introduce class-specific biases that need careful consideration.

Class-specific Bias in Image Data Augmentation: Data Augmentation Robustness Scouting | HackerNoon

Data Augmentation Robustness Scouting optimizes model performance by analyzing augmentation intensity's effects on accuracy and bias.

A Data-centric Approach to Class-specific Bias in Image Data Augmentation: Appendices A-L | HackerNoon

Data augmentation can improve model performance but may cause bias, leading to varied class accuracy.
moredata-augmentation

Introduction to CNN

CNNs employ convolution instead of matrix multiplication to effectively process image data for classification.
#machine-learning

The role of machine learning and computer vision in Imageomics

Imageomics combines images with computer analysis for biological research
Machine learning and computer vision can enhance scientific discovery in imageomics

How this retailer uses machine learning and computer vision to keep its shelves full

The Home Depot is using machine learning and computer vision technology to help staff find products quickly and effectively.
The ML-powered app, known as Sidekick, boosts staff productivity and prioritizes important tasks.

Tracking animals without markers in the wild

Research developed computer vision framework for markerless tracking of animals in the wild.

Job Vacancy: HPC Engineer (x/f/m) - DACH // Meshcapade | IT / Software Development Jobs | Berlin Startup Jobs

Meshcapade is a 3D digital human company that creates realistic human avatars for various industries.
They are seeking a skilled High-Performance Computing Engineer to develop and maintain their GPU HPC systems.

Job Vacancy: HR Generalist (x/f/m) Germany - Remote or Hybrid, Part time // Meshcapade | HR / Recruiting Jobs | Berlin Startup Jobs

Meshcapade is a 3D digital human company that creates realistic human avatars for various industries
They are looking for an HR Generalist to join their team and support their people function

Job Vacancy: HR Generalist (x/f/m) Germany - Remote or Hybrid, Part time // Meshcapade | HR / Recruiting Jobs | Berlin Startup Jobs

Meshcapade is a 3D digital human company that creates realistic human avatars for various industries
They are looking for an HR Generalist to join their team and support their people function

The role of machine learning and computer vision in Imageomics

Imageomics combines images with computer analysis for biological research
Machine learning and computer vision can enhance scientific discovery in imageomics

How this retailer uses machine learning and computer vision to keep its shelves full

The Home Depot is using machine learning and computer vision technology to help staff find products quickly and effectively.
The ML-powered app, known as Sidekick, boosts staff productivity and prioritizes important tasks.

Tracking animals without markers in the wild

Research developed computer vision framework for markerless tracking of animals in the wild.

Job Vacancy: HPC Engineer (x/f/m) - DACH // Meshcapade | IT / Software Development Jobs | Berlin Startup Jobs

Meshcapade is a 3D digital human company that creates realistic human avatars for various industries.
They are seeking a skilled High-Performance Computing Engineer to develop and maintain their GPU HPC systems.

Job Vacancy: HR Generalist (x/f/m) Germany - Remote or Hybrid, Part time // Meshcapade | HR / Recruiting Jobs | Berlin Startup Jobs

Meshcapade is a 3D digital human company that creates realistic human avatars for various industries
They are looking for an HR Generalist to join their team and support their people function

Job Vacancy: HR Generalist (x/f/m) Germany - Remote or Hybrid, Part time // Meshcapade | HR / Recruiting Jobs | Berlin Startup Jobs

Meshcapade is a 3D digital human company that creates realistic human avatars for various industries
They are looking for an HR Generalist to join their team and support their people function
moremachine-learning

Someone Made a DIY Version of Google's Most Exciting AI - and You Can Use It Right Now

Google's Gemini generative AI was used to create DIY-Astra, a chatbot with vision capabilities providing a sneak peek into the potential of improved AI chatbots.

Attack makes autonomous vehicle tech ignore road signs

Autonomous vehicles can be attacked by manipulating CMOS sensors to distort road signs, posing serious security risks.

Singapore improves the AI it uses to detect smokers

AI system Balefire in Singapore detects smokers in prohibited areas efficiently.
Challenges faced in detecting smokers include small size of cigarettes and potential false identifications.

Kayak's new AI features will let users double-check flights with a screenshot

Kayak launched new AI features for travel advice and price comparisons.
The AI feature PriceCheck allows users to find better prices by uploading flight screenshots.

Innovations in depth from focus/defocus pave the way to more capable computer vision systems

Researchers have developed a new method for depth estimation in computer vision applications.
The method combines model-based depth estimation with a learning framework to overcome limitations of previous techniques.

Images altered to trick machine vision can influence humans too

Even subtle changes to digital images can affect human perception
Adversarial images can mislead both AI systems and humans

Text-to-3D model startup Luma raises $43M in latest round

Luma, a generative AI startup, has raised $43 million in a series-B funding round
Luma's AI software can generate 3D models from text descriptions, photos, and videos
#computer vision

Demo Day: CoreLogic Image Analytics

CoreLogic's Image Analytics feature uses computer vision technology to analyze and extract insights from real estate property images.
The tool can identify property features and conditions, streamlining decision-making and enhancing real estate operations.

How AI is expanding art history

AI and machine learning technologies are being used to analyze and understand fine-art paintings and drawings.
AI-driven tools can analyze brush strokes, color, and style to reveal artists' understanding of optics and perspectives.
Collaborations between computer scientists and art scholars are leading to new approaches and classes of questions in art scholarship.

Demo Day: CoreLogic Image Analytics

CoreLogic's Image Analytics feature uses computer vision technology to analyze and extract insights from real estate property images.
The tool can identify property features and conditions, streamlining decision-making and enhancing real estate operations.

How AI is expanding art history

AI and machine learning technologies are being used to analyze and understand fine-art paintings and drawings.
AI-driven tools can analyze brush strokes, color, and style to reveal artists' understanding of optics and perspectives.
Collaborations between computer scientists and art scholars are leading to new approaches and classes of questions in art scholarship.
morecomputer vision

Even More Demo Sessions Coming to ODSC East to Help You Build AI Better

It's time for part 2 of our partner session highlight.Check out more of the talks and workshops from industry-leading data science and AI organizations coming to ODSC East 2023 below.You can see our first round of sessions here.Human-in-the-Loop: Strategies for Improving Time Series Anomaly Detection Andrew Cheesman｜Head of Data Science｜Bigeye
Despite the availability of expertise and effective tools, challenging problems still remain in the field of anomaly detection.
#back

With Human Metalworkers Hard to Come By, Robotic Blacksmiths Step Up

Chatsworth, CA-based startup Machina Labs has developed an automated metalworking system in the midst of a metalworker shortage.The system involves two robots positioned on either side of a large metal sheet, with one robot supporting the back of the sheet while the other shapes the metal.The technology feeds metal characteristics into computer vision and artificial intelligence systems that watch the shaping process.

A Recap of Our Interview with Alex Ratner on Data-Centric AI

As newer fields emerge within data science and the research is still hard to grasp, sometimes it's best to talk to the experts and pioneers of the field.Recently, we spoke with Alex Ratner, co-founder and CEO at Snorkel AI, and an Assistant Professor of Computer Science at the University of Washington ahead of his upcoming ODSC West 2022 talk on data-centric AI.

With Human Metalworkers Hard to Come By, Robotic Blacksmiths Step Up

Chatsworth, CA-based startup Machina Labs has developed an automated metalworking system in the midst of a metalworker shortage.The system involves two robots positioned on either side of a large metal sheet, with one robot supporting the back of the sheet while the other shapes the metal.The technology feeds metal characteristics into computer vision and artificial intelligence systems that watch the shaping process.

A Recap of Our Interview with Alex Ratner on Data-Centric AI

As newer fields emerge within data science and the research is still hard to grasp, sometimes it's best to talk to the experts and pioneers of the field.Recently, we spoke with Alex Ratner, co-founder and CEO at Snorkel AI, and an Assistant Professor of Computer Science at the University of Washington ahead of his upcoming ODSC West 2022 talk on data-centric AI.
moreback

Augmented Reality Headset Enables Users to See Hidden Objects

Massachusetts Institute of Technology researchers have combined computer vision and wireless perception into X-AR, an augmented reality (AR) headset that can visualize hidden objects.X-AR employs radio frequency (RF) signals to find concealed items with RF identification tags; those items are represented by a transparent sphere to guide headset wearers to their locations.
#researchers

MIT researchers create X-ray vision headset

Technology The device, known as X-AR, is designed to help people locate specific items in small environments.Researchers at MIT have developed a headset that lets people track and find items hidden from view, effectively giving them X-ray vision.Through the use of techniques called computer vision and wireless perception, the headset automatically locates specific items that are not in the wearer's line of sight.

Meta's newest AI fairness benchmark measures even more granular bias markers | Engadget

As a white man in America with no discernible regional accent, I can simply assume that modern consumer technologies - virtual assistants like Siri, Alexa or Assistant, and my phones' camera - will work seamlessly out of the box.I assume this because, well, they do.That's namely because the nerds who design and program these devices overwhelmingly both look and sound just like me - if even a little whiter.

Computer Vision Tech Assesses Proper Mask Wearing

Researchers from Brigham and Women's Hospital (BWH) and the Massachusetts Institute of Technology (MIT) used a computer vision algorithm in a system to measure adherence to and provide real-time feedback on mask-wearing to staff in a hospital.The computer visualization system accurately detected the presence of mask adherence 100 percent of the time.

MIT researchers create X-ray vision headset

Technology The device, known as X-AR, is designed to help people locate specific items in small environments.Researchers at MIT have developed a headset that lets people track and find items hidden from view, effectively giving them X-ray vision.Through the use of techniques called computer vision and wireless perception, the headset automatically locates specific items that are not in the wearer's line of sight.

Meta's newest AI fairness benchmark measures even more granular bias markers | Engadget

As a white man in America with no discernible regional accent, I can simply assume that modern consumer technologies - virtual assistants like Siri, Alexa or Assistant, and my phones' camera - will work seamlessly out of the box.I assume this because, well, they do.That's namely because the nerds who design and program these devices overwhelmingly both look and sound just like me - if even a little whiter.

Computer Vision Tech Assesses Proper Mask Wearing

Researchers from Brigham and Women's Hospital (BWH) and the Massachusetts Institute of Technology (MIT) used a computer vision algorithm in a system to measure adherence to and provide real-time feedback on mask-wearing to staff in a hospital.The computer visualization system accurately detected the presence of mask adherence 100 percent of the time.
moreresearchers
[ Load more ]