Aiiot Talk

MARCH 20, 2024

Step 4: Data Encoding Imagine you are trying to teach a computer to understand different types of fruit. Just like it is easier for you to remember numbers than complex names, computers find it easier to work with numbers. So, encoding transforms categorical data into a numeric format that algorithms can understand.

Machine Learning 214

Machine Learning Categorization Artificial Intelligence Artificial Intelligence 214

Marktechpost

NOVEMBER 19, 2023

GOAT is a multimodal system that can interpret goals from category labels, target images, and language descriptions. GOAT, a versatile navigation system for mobile robots, is adept at autonomous navigation in diverse environments using category labels, target images, and language descriptions.

Robotics 127

Robotics AI Researcher AI Research ML 127

Unite.AI

FEBRUARY 8, 2024

Object segmentation is a foundational and critically important field in modern computer vision. With the evolution of object segmentation, the Segment Anything Model (SAM) has emerged as a remarkable tool, showcasing outstanding segmentation abilities and quickly being adopted in various computer vision applications.

Computer Vision 162

Computer Vision Artificial Intelligence Artificial Intelligence 162

Towards AI

APRIL 8, 2024

In Bayesian statistics, joint PMFs are crucial for computing posterior probabilities and updating the probability of hypotheses based on the observed data. A joint probability table contains the following elements: Header Rows and Columns: These indicate the possible values or categories of each random variable. astype(str).str.contains('C')]df

Data Science 83

Data Science Machine Learning ChatGPT Data Analysis 83

Flipboard

SEPTEMBER 30, 2023

’ Thematic analyses of insights from 452 individuals worldwide yielded two categories of traits. Category 1 entails social traits, where ChatGPT embodies the social roles of ‘author’ (imitating human phrasing and paraphrasing practices) and ‘interactor’ (simulating human collaboration and emotion).

ChatGPT 110

ChatGPT Algorithm Artificial Intelligence Artificial Intelligence 110

Extreme Tech

MARCH 4, 2024

An Intel executive is projecting sizable growth for this nascent category of home computers.

AI 90

AI AI 90

Unite.AI

APRIL 30, 2024

What initially attracted you to computer science and cybersecurity? I was drawn to the complexities of what computer science and cybersecurity are trying to solve – there is always an emerging challenge to explore. A great example of this is when the cloud first started gaining traction.

LLM 147

LLM Large Language Models ML Artificial Intelligence 147

Unite.AI

NOVEMBER 10, 2023

Powerhouse Forensics follows the trail and deciphers the information regardless of whether the evidence is digital, such as electronically stored information found on computers, mobile phones, or other devices, or if the investigation requires traditional private investigative services. What initially attracted you to computer science?

Generative AI 182

Generative AI AI AI 182

Marktechpost

MARCH 18, 2024

Meanwhile, feature reconstruction-based detection, though simple, needs to improve with high computational demands and requires more effective feature selection. However, challenges persist in feature redundancy and selection across different anomaly categories.

Artificial Intelligence 124

Artificial Intelligence Artificial Intelligence AI AI 124

Unite.AI

OCTOBER 25, 2023

This pseudo-language comprised two distinct categories of words. The ‘primitive' category featured words like ‘dax,' ‘wif,' and ‘lug,' which symbolized basic actions akin to ‘skip' or ‘jump'. This study, with its promising results, nudges the scales in favor of optimism.

Neural Network 317

Neural Network Artificial Intelligence Artificial Intelligence Computer Scientist 317

Unite.AI

JANUARY 18, 2024

LVMs are a new category of AI models specifically designed for analyzing and interpreting visual information, such as images and videos, on a large scale, with impressive accuracy. This is where the emergence of Large Vision Models (LVMs) becomes crucial.

Computer Vision 264

Computer Vision OpenAI Artificial Intelligence Artificial Intelligence 264

Marktechpost

JULY 6, 2023

The objective of 3D instance segmentation is to predict object instance masks and their corresponding categories in a 3D scene. First, closed-vocabulary approaches struggle to understand scenes beyond the object categories encountered during training, leading to potential difficulties in recognizing novel objects or misclassifying them.

AI Modeling 104

AI Modeling Neural Network Robotics AI Tools 104

AI News

APRIL 24, 2024

“What we’re going to start to see is not a shift from large to small, but a shift from a singular category of models to a portfolio of models where customers get the ability to make a decision on what is the best model for their scenario,” said Sonali Yadav, Principal Product Manager for Generative AI at Microsoft.

Big Data 252

Big Data Large Language Models AI Modeling Generative AI 252

NVIDIA

MARCH 19, 2024

NPN awards categories span a multitude of competencies and industries, including service delivery, data center networking, public sector, healthcare and higher education. Three new categories were created this year. and collaborating with NVIDIA to launch ARC, a 5G/6G platform targeted for next-gen wireless networks.

Machine Learning 90

Machine Learning AI AI Software Engineer 90

AWS Machine Learning Blog

APRIL 5, 2024

It’s based on the same proven, highly scalable, deep learning technology developed by Amazon’s computer vision scientists to analyze billions of images and videos daily. It requires no machine learning (ML) expertise to use and we’re continually adding new computer vision features to the service. Choose Start Bulk Analysis.

Computer Vision 105

Computer Vision Machine Learning Deep Learning Artificial Intelligence 105

AI News

APRIL 8, 2024

This year’s lineup includes challenges spanning areas like healthcare, sustainability, natural language processing (NLP), computer vision, and more. Know Your Customer Opinion TFUG Surabaya presents a challenge of classifying customer opinions into Likert scale categories.

ML 234

ML Machine Learning Big Data Natural Language Processing 234

Marktechpost

OCTOBER 10, 2023

It is a category-level human actor NeRF model that generalizes to unseen actors in a few-shot setting. Skinning weight networks are crucial for achieving realistic character movements and deformations in 3D computer graphics. ActorsNeRF can leverage the category level before smoothly synthesizing unobserved portions of the body.

Neural Network 88

Neural Network AI Researcher AI Research ML 88

Marktechpost

DECEMBER 1, 2023

FER is pivotal in human-computer interaction, sentiment analysis, affective computing, and virtual reality. Applications include better human-computer interaction and improved emotional response in robots, making FER crucial in human-machine interface technology. It helps machines understand and respond to human emotions.

Convolutional Neural Networks 107

Convolutional Neural Networks Affective Computing Neural Network AI 107

Mlearning.ai

OCTOBER 2, 2023

Some of the challenges associated with fine-tuning large language models include the high computational cost , the large memory footprint , and the difficulty of finding optimal hyperparameters. Hybrid Methods Hybrid methods amalgamate ideas from various categories of PEFT, such as: MAM Adapter : Incorporates both Adapters and Prompt tuning.

Large Language Models 98

Large Language Models BERT Categorization LLM 98

Marktechpost

MARCH 22, 2024

Users can take advantage of DATALORE’s data governance, data integration, and machine learning services, among others, on cloud computing platforms like Amazon Web Services, Microsoft Azure, and Google Cloud. Because it can handle numeric, textual, and categorical data, DATALORE normally beats EDV in every category.

Machine Learning 135

Machine Learning Explainability Categorization ETL 135

Marktechpost

FEBRUARY 7, 2024

The quest to imbue machines capable of parsing and solving mathematical problems stretches beyond mere computation, delving into the essence of cognitive understanding and logical deduction. This research illuminates the profound capabilities and ongoing challenges of applying LLMs to mathematical reasoning.

Large Language Models 129

Large Language Models Artificial Intelligence Artificial Intelligence AI Researcher 129

AWS Machine Learning Blog

NOVEMBER 26, 2023

You can recommend actions such as enrolling in loyalty programs, signing up for a newsletter or magazine, exploring a new category, downloading an app, and other actions that encourage conversion. User A is a frequent buyer and has shopped mostly in the “Beauty & Grooming” and “Jewelry” categories in the past.

Machine Learning 79

Machine Learning ML Software Engineer Deep Learning 79

AI News

SEPTEMBER 12, 2023

submissions showcase various processors and accelerators across use cases in computer vision, recommender systems, and language processing. The benchmark suite encompasses both open and closed submissions in the performance, power, and networking categories.

LLM 238

LLM Big Data Computer Vision AI Chatbots 238

Google Research AI blog

AUGUST 28, 2023

Posted by Dahun Kim and Weicheng Kuo, Research Scientists, Google The ability to detect objects in the visual world is crucial for computer vision and machine intelligence, enabling applications like adaptive autonomous agents and versatile shopping systems. Both CPE and focal loss introduce no extra parameters and minimal computation costs.

Convolutional Neural Networks 71

Convolutional Neural Networks Computer Vision Neural Network 71

Marktechpost

MARCH 7, 2024

In the ever-evolving landscape of computational linguistics, bridging language barriers has led to remarkable innovations, particularly in regions characterized by a rich tapestry of languages. to 7B in size, are designed to meet diverse computational needs, ensuring broad accessibility and utility.

Computational Linguistics 120

Computational Linguistics Algorithm ML AI 120

Unite.AI

JULY 14, 2023

What intrigued me was the possibility that advancements in algorithms and compute power would lead to consumer-ready results. Over time, we expanded our offerings to include a computer vision product that was utilized by fortune 100 companies as well as major governments. Could you share the genesis story of DeepAI?

Computer Vision 233

Computer Vision LLM Software Engineer AI Developer 233

Marktechpost

OCTOBER 4, 2023

OSR metrics, hface(•) and hnon-face(•), are introduced to determine if an input image belongs to the facial image or non-face image category based on probability distributions associated with image categories. The method involves a feature extractor, class discriminator, and match-or-not discriminator.

Neural Network 126

Neural Network Categorization AI AI 126

Marktechpost

JANUARY 18, 2024

Although these innovations speed up and optimize many aspects of our work, they necessitate the use of computational powerhouses to harness their full potential. A GPU Cluster is a group of computers with each node equipped with a Graphics Processing Unit (GPU), a specialized hardware for parallel computation of complex calculations.

Neural Network 124

Neural Network Deep Learning Natural Language Processing Computer Vision 124

Marktechpost

JANUARY 24, 2024

Also, it accumulates uncertainty and estimates it by combining a computational representation of the underlying processes with a neural network and executing cycles between input and output data. They used Separate super-resolution neural networks for each image category and then performed evaluations across all three systems.

Neural Network 109

Neural Network Deep Learning Data Mining Natural Language Processing 109

Viso.ai

FEBRUARY 11, 2024

This database has undoubtedly played a great impact in advancing computer vision software research. It is a technique used in computer vision to identify and categorize the main content (objects) in a photo or video. The other usage of image datasets is as a benchmark in computer vision algorithms. What is ImageNet?

Convolutional Neural Networks 52

Convolutional Neural Networks Computer Vision Neural Network Deep Learning 52

Mlearning.ai

FEBRUARY 18, 2024

Intorduction The computer vision research community relies on standardized datasets to assess the efficacy of novel models and enhancements to existing ones. In this article, we explore the Common Objects in Context (COCO) dataset, a prominent illustration of a benchmarking dataset widely employed in the computer vision research community.

Computer Vision 52

Computer Vision Machine Learning Algorithm ML 52

Marktechpost

FEBRUARY 29, 2024

Also, these methods need help understanding context and latent user intent, especially in lengthy interaction histories, posing computational limitations. Issues include sparse data points, multimodal interactions, and difficulty identifying relevant patterns.

Artificial Intelligence 128

Artificial Intelligence Artificial Intelligence LLM Large Language Models 128

Chatbots Life

APRIL 16, 2024

Machine learning has revolutionized various fields by enabling computers to learn from data and make accurate predictions or classifications. By applying generative models in these areas, researchers and practitioners can unlock new possibilities in various domains, including computer vision, natural language processing, and data analysis.

Neural Network 59

Neural Network Convolutional Neural Networks Natural Language Processing Machine Learning 59

Unite.AI

SEPTEMBER 25, 2023

AR and VR are both included in the category of immersive technology known as XR, or Extended Reality. The main distinctions between AR and VR are the devices used and the nature of the experience: AR takes place in a real-world environment, while VR is entirely virtual. Enterprises looking to leverage “Industry 4.0”

Computer Vision 338

Computer Vision AI AI Deep Learning 338

Marktechpost

NOVEMBER 5, 2023

Their collaborative efforts in artificial intelligence (AI) and human-computer interaction (HCI) have given rise to an innovative tool known as Data Formulator: an AI-powered visualization authoring tool that introduces a groundbreaking paradigm in data representation.

Artificial Intelligence 131

Artificial Intelligence Artificial Intelligence Data Analysis AI 131

Towards AI

FEBRUARY 29, 2024

We’ll handle this entire setup process on Amazon Elastic Compute Cloud (Amazon EC2). DAG (Directed Acyclic Graph) are the logical execution plan outlining transformations and actions, describing the sequence of operations required to compute the final result. Let’s get started on setting up our very own ingestion pipeline!

Categorization 127

Categorization Machine Learning Python AI 127

Marktechpost

DECEMBER 18, 2023

It plays a crucial role by computing softmax similarities among input tokens and serves as the foundational framework of the architecture. These classifiers learn to distinguish between two categories by drawing a boundary in the data. In the case of transformers, the categories are relevant and irrelevant information within the text.

Natural Language Processing 101

Natural Language Processing Large Language Models Chatbots Explainability 101