Marktechpost

MARCH 21, 2024

In the evolving landscape of artificial intelligence, vision-language models (VLMs) stand as a testament to the quest for machines that can interpret and understand the world like human perception. Researchers have tirelessly explored methods to enhance these models’ interpretative and inferential capabilities.

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Marktechpost

APRIL 18, 2024

The exploration of artificial intelligence within dynamic 3D environments has emerged as a critical area of research, aiming to bridge the gap between static AI applications and their real-world usability. All credit for this research goes to the researchers of this project. Check out the Paper.

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NVIDIA

MARCH 4, 2024

Bringing together pioneers in robotics and AI, NVIDIA GTC will be a state-of-the-art showcase of applied AI for autonomous machines. Groundbreaking demos using large language models for real-world applications will push the boundaries of human-machine interaction.

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Marktechpost

MARCH 19, 2024

In AI, synthesizing linguistic and visual inputs marks a burgeoning area of exploration. With the advent of multimodal models, the ambition to engage the textual with the visual opens up unprecedented avenues for machine comprehension. All credit for this research goes to the researchers of this project.

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Unite.AI

FEBRUARY 16, 2024

It has been the guiding vision of AI research since the earliest days and remains its most divisive idea. Current AI predominantly relies on machine learning , a branch of computer science that enables machines to learn from data and experiences. AGI is not a new concept.

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NYU Center for Data Science

JULY 18, 2023

Read about the research groups at CDS working to advance data science and machine learning! CDS includes a range of research groups that bring together NYU professors, faculty fellows, and PhD students working at various intersections of data science, machine learning, and artificial intelligence.

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Marktechpost

NOVEMBER 15, 2023

Machine learning models are gaining immense popularity while bridging the gap between reality and virtuality. Human perception is multi-modal in nature as it incorporates both auditory and visual cues into the comprehension of the environment. All credit for this research goes to the researchers of this project.

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Marktechpost

SEPTEMBER 26, 2023

Large language models (LLMs) have made tremendous strides in the last several months, crushing state-of-the-art benchmarks in many different areas. There has been a meteoric rise in people using and researching Large Language Models (LLMs), particularly in Natural Language Processing (NLP).

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Marktechpost

JULY 20, 2023

The problem statement was very clear in front of the research group that they have to build a technology that reaches each part and gives us appropriate data regarding the deep sea environment. The main perception is based on underwater sound and hydrodynamic characteristics as they provide information about the target.

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AI News

MAY 15, 2023

What are the main trends you’ve noticed developing in AI and machine learning? One of the biggest trends is that, while people used to question whether AI, machine learning and data science are the technologies of the future; that’s no longer the question. How important are AI and machine learning with regards to product innovation?

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Marktechpost

JULY 2, 2023

As a result, understanding the inner workings of such systems for the pertaining task and how they arrive at certain decisions has become a subject of great interest and investigation among researchers and developers. In essence, the key contributions of the work done by the researchers can be summarized into three main points.

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Marktechpost

JULY 19, 2023

Rise in Multimodal AI The advancement of multimodal AI can be credited to two crucial machine learning techniques: Representation learning and transfer learning. Our cognitive capacities heavily rely on unconscious perception and abilities, largely shaped by our past experiences and understanding of how the world operates.

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AWS Machine Learning Blog

MARCH 30, 2023

In this post, we introduce a new interactive tool called Snapper, powered by a machine learning (ML) model that reduces the effort required of annotators. While seeing the whole object, we ask the machine to reason about the presence or absence of an edge directly at each pixel’s location as a classification task.

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Unite.AI

JUNE 5, 2023

As Product Owner of Advanced Technology at Amii, Mara leads a technical team that helps industry partners build machine learning capacity within their organization by providing guidance and expertise to develop predictive models. Machine learning projects to do in four months can be challenging. We want this talent to stay here.

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Viso.ai

JANUARY 16, 2024

Case Background: Emotional Perception AI Ltd v. Emotional Perception AI Ltd’s AI is capable of recommending music by analyzing its emotional and perceptual qualities. This ANN’s training involves understanding and categorizing music based on human perceptions and emotions.

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AWS Machine Learning Blog

MARCH 13, 2023

Amazon SageMaker Ground Truth Plus is a managed data labeling service that makes it easy to label data for machine learning (ML) applications. It provides a high-precision understanding of the locations of different objects in the image and is often used to build perception systems for autonomous vehicles or robotics.

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Google Research AI blog

FEBRUARY 14, 2023

Posted by Kendra Byrne, Senior Product Manager, and Jie Tan, Staff Research Scientist, Robotics at Google (This is Part 6 in our series of posts covering different topical areas of research at Google. Generated code can call existing perception action APIs, third party libraries, or write new functions at runtime.

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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.

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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.

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Defined.ai blog

SEPTEMBER 21, 2023

In this exploration, we’ll journey deep into some Natural Language Processing examples , as well as uncover the mechanics of how machines interpret and generate human language. It’s a subfield of artificial intelligence (AI) focused on enabling machines to understand, interpret, and produce human languag e.

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Viso.ai

JANUARY 18, 2024

This complex network forms the basis for cognitive abilities, sensory perception, and motor functions. In a nutshell, neuron activation in machine learning is the fundamental mechanism that allows Artificial Neural Networks to emulate the adaptive and intelligent features observed in human brains.

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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. In this article, I would like to take a look at the current challenges in the field of robotics and discuss the relevance and applications of computer vision in this area.

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Viso.ai

FEBRUARY 25, 2024

It excels in areas where the clarity and detail of an image can significantly influence outcomes. In turn, this evolved into more sophisticated methods using machine learning and deep learning. Collectively these reconstruction techniques enhance the perception-driven performance, yielding sharper and more detailed images.

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AWS Machine Learning Blog

FEBRUARY 9, 2023

Research shows that the water levels in Lake Mead are at their lowest level since 1937 [3]. In the following code snippet, we first define an AreaOfInterest (AOI) with a bounding box around the Lake Mead area. However, the area we are studying may be obscured by clouds. Lake Mead is the largest reservoir in the US.

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Google Research AI blog

MAY 25, 2023

Posted by Vincent Cohen-Addad and Alessandro Epasto, Research Scientists, Google Research, Graph Mining team Clustering is a central problem in unsupervised machine learning (ML) with many applications across domains in both industry and academic research more broadly. a relationship in a social network).

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AWS Machine Learning Blog

SEPTEMBER 22, 2023

Preference data is a collection of examples that demonstrate how a human prefers one machine output over another based on helpfulness and harmlessness criteria. The following table shows the concept of preference: Machine Outputs. His research interests are 3D deep learning, and vision and language representation learning.

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Pickl AI

APRIL 17, 2023

Artificial Intelligence (AI) is to develop of intelligent machines that are capable of doing activities that traditionally require human intelligence, such as speech recognition, visual perception, decision-making, and language translation. Read the blog to find out! What is Artificial Intelligence?

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Pickl AI

DECEMBER 4, 2023

Data Intelligence takes that data, adds a touch of AI and Machine Learning magic, and turns it into insights. Through advanced analytics and Machine Learning algorithms, they identify patterns such as popular products, peak shopping times, and customer preferences. Imagine this: we collect loads of data, right? These insights?

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Snorkel AI

JULY 6, 2023

Nyla Worker, product manager at NVIDIA gave a presentation entitled “Leveraging Synthetic Data to Train Perception Models Using NVIDIA Omniverse Replicator” at Snorkel AI’s The Future of Data-Centric AI virtual conference in August 2022. The following is a transcript of her presentation, edited lightly for readability.

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Snorkel AI

JULY 6, 2023

Nyla Worker, product manager at NVIDIA gave a presentation entitled “Leveraging Synthetic Data to Train Perception Models Using NVIDIA Omniverse Replicator” at Snorkel AI’s The Future of Data-Centric AI virtual conference in August 2022. The following is a transcript of her presentation, edited lightly for readability.

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Heartbeat

MARCH 5, 2024

Image by istockphoto Computer vision has become a ground-breaking area in artificial intelligence and machine learning with revolutionary applications. It seeks to mimic perception and comprehension of the visual world by the human Toem.

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John Snow Labs

DECEMBER 26, 2023

Long Short-Term Memory (LSTM) networks have received substantial attention for their capacity to interpret and analyze sequential input, making them a vital tool in sentiment research. Let’s evaluate models with LangTest LangTest provides a comprehensive framework for testing sentiment analysis models across various libraries and APIs.

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Artificial Corner

JUNE 1, 2023

AI-generated image using [link] Introduction Artificial Intelligence (AI) has made remarkable strides in recent years, thanks to natural language processing and machine learning advancements. The AI system, in response, cited a fictitious paper from a real author who works in the relevant area.

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Heartbeat

SEPTEMBER 20, 2023

This technology has broad applications, including aiding individuals with visual impairments, improving image search algorithms, and integrating optical recognition with advanced language generation to enhance human-machine interactions. Essentially, machines are taught to create captions congruent with the photos.

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TheSequence

OCTOBER 18, 2023

Her expertise spans a decade in the field of machine learning and AI. In earlier roles, she was part of the cross-functional ML team within Apple's Special Projects Group and developed computer vision models for autonomous driving perception systems at Drive.ai. TheSequence is a reader-supported publication. Efficient ML!

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Viso.ai

JANUARY 19, 2024

This can be achieved by analyzing object shapes, materials, and past interactions through machine learning techniques. Machine Learning Models. VR systems can direct rendering resources towards areas where users are fixating, improving visual fidelity and reducing computational load. This involves: Gesture Libraries.

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Viso.ai

APRIL 25, 2024

While bias in AI systems is a well-established research area, the field of biased computer vision hasn’t received as much attention. Facial recognition algorithms are one of the areas affected by the sampling bias, as it can cause different error rates depending on the data it was trained on.

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