AI Weekly

JULY 13, 2023

In The News Robots at United Nations Summit in Geneva : we have no plans to steal jobs or rebel against humans Robots have no plans to steal the jobs of humans or rebel against their creators, but would like to make the world their playground, nine of the most advanced humanoid robots have told an artificial intelligence summit in Geneva.

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Heartbeat

MARCH 14, 2023

The goal of computer vision research is to teach computers to recognize objects and scenes in their surroundings. As robots need to be able to pick up on their surroundings and adapt accordingly, this is a crucial skill for the field. These tasks include object recognition, tracking, navigation, and scene understanding.

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Unite.AI

OCTOBER 4, 2024

Robotic perception has long been challenged by the complexity of real-world environments, often requiring fixed settings and predefined objects. Most robots are designed to operate in fixed environments with predefined objects, which limits their ability to adapt to unpredictable or cluttered settings.

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AI Weekly

SEPTEMBER 21, 2023

scientificamerican.com AI model speeds up high-resolution computer vision Researchers from MIT, the MIT-IBM Watson AI Lab, and elsewhere have developed a more efficient computer vision model that vastly reduces the computational complexity of this task. [Get your FREE eBook.] Get your FREE eBook.]

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Marktechpost

MAY 5, 2024

Graph Neural Network (GNN)–based motion planning has emerged as a promising approach in robotic systems for its efficiency in pathfinding and navigation tasks. Experiments: 2D Maze to 14D Dual KUKA Robotic Arm: GraphMP significantly improved path quality and planning speed over existing planners.

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Towards AI

DECEMBER 16, 2024

From breakthroughs in large language models to revolutionary approaches in computer vision and AI safety, the research community has outdone itself. Vision Mamba Summary: Vision Mamba introduces the application of state-space models (SSMs) to computer vision tasks. And lets be real what a year it has been!

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Unite.AI

APRIL 6, 2025

Using neural network-based entity recognition, it accurately maps spoken requests to menu items, even when customers use ambiguous phrasing or slang. There is even the potential for computer vision AI to help manage drive-thru traffic by tracking cars in real-time, reducing wait times, and keeping things running smoothly.

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Marktechpost

JANUARY 24, 2024

This shift is driven by neural networks that learn through self-supervision, bolstered by specialized hardware. The reach of these transformations extends beyond the confines of computer science, influencing diverse fields such as robotics, biology, and chemistry, showcasing the pervasive impact of AI across various disciplines.

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Marktechpost

JANUARY 3, 2024

In the swiftly evolving domain of computer vision, the breakthrough in transforming a single image into a 3D object structure is a beacon of innovation. This method marks a significant advance in neural 3D reconstruction, offering a practical and efficient solution for creating 3D models from single images.

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AI Weekly

JANUARY 18, 2024

medium.com Robotics From Warehouses to Hospitals: Yujin Robot’s Cutting-Edge Robotic Solutions It transforms traditional factories into smart, interconnected systems, optimizing processes through real-time data, predictive maintenance, and increased customization.

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Analytics Vidhya

JUNE 4, 2023

The innovative model utilizes neural networks to reconstruct 3D scenes and objects from 2D video clips. Like Michelangelo’s mastery in sculpting intricate and realistic visions from blocks of marble, Neuralangelo breathes life into static footage, transforming it into detailed 3D structures.

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AI Weekly

DECEMBER 14, 2023

theconversation.com Scientists Preparing to Turn on Computer Intended to Simulate Entire Human Brain Researchers at Western Sydney University in Australia have teamed up with tech giants Intel and Dell to build a massive supercomputer intended to simulate neural networks at the scale of the human brain. Who's a good boy?

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Viso.ai

DECEMBER 1, 2024

This article covers an extensive list of novel, valuable computer vision applications across all industries. Find the best computer vision projects, computer vision ideas, and high-value use cases in the market right now. provides Viso Suite , the world’s only end-to-end Computer Vision Platform.

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Marktechpost

MARCH 11, 2024

Deep Neural Networks (DNNs) excel in enhancing surgical precision through semantic segmentation and accurately identifying robotic instruments and tissues. This limitation underscores the need for innovative solutions to ensure continual learning and data management in robot-assisted surgery.

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Unite.AI

MARCH 2, 2025

From early neural networks to todays advanced architectures like GPT-4 , LLaMA , and other Large Language Models (LLMs) , AI is transforming our interaction with technology. However, as AI models grow larger and more complex, they run into serious challenges with memory and computational efficiency.

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NVIDIA

OCTOBER 25, 2023

NVIDIA researchers are collaborating with academic centers worldwide to advance generative AI , robotics and the natural sciences — and more than a dozen of these projects will be shared at NeurIPS , one of the world’s top AI conferences. Set for Dec. The model can near-instantly convert text to speech on a single NVIDIA A100 Tensor Core GPU.

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AI Weekly

JUNE 29, 2023

wan-ifra.org Computer vision system marries image recognition and generation Computers possess two remarkable capabilities with respect to images: They can both identify them and generate them anew. It’s a stellar lineup of speakers, but the real stars in our eyes are the robots. phys.org Quantum Computing Inc.

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Marktechpost

JANUARY 30, 2025

Image Source Agentic AI is born out of a need for software and robotic systems that can operate with independence and responsiveness. Industrial Robotics Robot arms on factory floors coordinate with sensor networks to assemble products more efficiently, diagnosing faults and adjusting their operation in real time.

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Marktechpost

SEPTEMBER 12, 2023

The quest to make robots perform complex physical tasks, such as navigating challenging environments, has been a long-standing challenge in robotics. The primary problem this paper and article aim to address is how to efficiently teach robots these agile parkour skills, enabling them to navigate through diverse real-world scenarios.

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Marktechpost

SEPTEMBER 9, 2024

Computer vision is rapidly transforming industries by enabling machines to interpret and make decisions based on visual data. Learning computer vision is essential as it equips you with the skills to develop innovative solutions in areas like automation, robotics, and AI-driven analytics, driving the future of technology.

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IBM Journey to AI blog

DECEMBER 20, 2023

Machine learning (ML) technologies can drive decision-making in virtually all industries, from healthcare to human resources to finance and in myriad use cases, like computer vision , large language models (LLMs), speech recognition, self-driving cars and more. However, the growing influence of ML isn’t without complications.

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Mlearning.ai

JANUARY 27, 2023

Save this blog for comprehensive resources for computer vision Source: appen Working in computer vision and deep learning is fantastic because, after every few months, someone comes up with something crazy that completely changes your perspective on what is feasible. Also, they will show you how huge this domain is.

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Pickl AI

JANUARY 29, 2025

Deep Learning is a specialized subset of Artificial Intelligence (AI) and machine learning that employs multilayered artificial neural networks to analyze and interpret complex data. Cat vs. Dog Classification This project involves building a Convolutional Neural Network (CNN) to classify images as either cats or dogs.

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IBM Journey to AI blog

OCTOBER 12, 2023

However, AI capabilities have been evolving steadily since the breakthrough development of artificial neural networks in 2012, which allow machines to engage in reinforcement learning and simulate how the human brain processes information. Human intervention was required to expand Siri’s knowledge base and functionality.

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Marktechpost

JUNE 3, 2024

Its AI courses offer hands-on training for real-world applications, enabling learners to effectively use Intel’s portfolio in deep learning, computer vision, and more. Deep Learning This course introduces deep learning and covers its techniques, terminology, and fundamental neural network architectures.

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Marktechpost

MARCH 16, 2025

Stereo depth estimation plays a crucial role in computer vision by allowing machines to infer depth from two images. This capability is vital for autonomous driving, robotics, and augmented reality applications. Overcoming these challenges requires a more robust approach that eliminates the need for domain-specific training.

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Unite.AI

MARCH 15, 2024

Object detection has been a fundamental challenge in the computer vision industry, with applications in robotics, image understanding, autonomous vehicles, and image recognition. In recent years, groundbreaking work in AI, particularly through deep neural networks, has significantly advanced object detection.

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Marktechpost

MARCH 22, 2024

Real-time, high-accuracy optical flow estimation is critical for analyzing dynamic scenes in computer vision. Traditional methodologies, while foundational, have often stumbled upon the computational versus accuracy problem, especially when executed on edge devices. Check out the Paper and Github.

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PyImageSearch

MARCH 30, 2023

If you want a gentle introduction to machine learning for computer vision, you’re in the right spot. Here at PyImageSearch we’ve been helping people just like you master deep learning for computer vision. Also, you might want to check out our computer vision for deep learning program before you go.

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Viso.ai

DECEMBER 19, 2024

Computer Vision (CV) is a field in computer science that enables machines to “see” Computer vision algorithms allow machines to identify, detect, and understand objects in videos and images. This unlocks many possibilities for computer vision to be applied to various industries.

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Towards AI

MARCH 3, 2025

In todays rapidly evolving AI landscape, robotics is breaking new ground with the integration of sophisticated internal simulations known as world models. These models empower robots to predict, plan, and adapt in complex environments making them not only smarter but also more autonomous.

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Viso.ai

JULY 15, 2024

In this blog, we explore how mimicking nature leads to cutting-edge advancements in AI vision. We’ll see how biological concepts inspire the development of computer vision technologies. One integral form of biomimicry today that already underpins a huge swathe of computer science research today is that of neural networks.

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Marktechpost

FEBRUARY 22, 2024

In computer vision, convolutional networks acquire a semantic understanding of images through extensive labeling provided by experts, such as delineating object boundaries in datasets like COCO or categorizing images in ImageNet.

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NVIDIA

JUNE 1, 2023

Neuralangelo, a new AI model by NVIDIA Research for 3D reconstruction using neural networks, turns 2D video clips into detailed 3D structures — generating lifelike virtual replicas of buildings, sculptures and other real-world objects. The papers span topics including pose estimation, 3D reconstruction and video generation.

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Pickl AI

DECEMBER 26, 2024

Summary: Amazon’s Ultracluster is a transformative AI supercomputer, driving advancements in Machine Learning, NLP, and robotics. Key Takeaways Ultracluster redefines AI innovation with unparalleled computational power. Combines GPUs, low-latency networking, and optimised storage for peak performance.

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Marktechpost

OCTOBER 23, 2024

From the statistical foundations of machine learning to the complex algorithms powering neural networks, mathematics plays a pivotal role in shaping the capabilities and limitations of AI. Derivatives are key to optimizing functions like the loss function in neural networks by measuring rates of change.

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Viso.ai

MAY 14, 2024

In many computer vision applications (e.g. robot motion and medical imaging) there is a need to integrate relevant information from multiple images into a single image. provides a robust end-to-end no-code computer vision solution – Viso Suite. Convolutional Neural Network Zhang et al.

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