Unite.AI

NOVEMBER 3, 2023

However, the second cause is a lot more complex and counterintuitive, and it puts a strain on some of the efforts that are being made to allegedly make AI more ethical and safe. can lead to a potentially fatal outcome, other queries that could be considered sensitive are way more subjective. How to solve this problem?

Large Language Models 279

Large Language Models AI AI Neural Network 279

IBM Journey to AI blog

FEBRUARY 23, 2024

Many businesses find it hard to implement GDPR requirements because the law is not only complex but also leaves a lot up to discretion. First, it is only concerned with the personal data of natural persons, also called data subjects in GDPR parlance. Businesses, hospitals, schools, and public authorities are all subject to the GDPR.

Automation 210

Automation Explainability OpenAI ChatGPT 210

Unite.AI

DECEMBER 1, 2023

Interpretability LIME , for instance, breaks down the complexity by creating simpler, local surrogate models that approximate the behavior of the original model around a specific input. The Scale and Complexity of LLMs The scale of these models adds to their complexity.

LLM 264

LLM Machine Learning Explainability Algorithm 264

Marktechpost

MAY 1, 2024

Understanding Human and Artificial Intelligence: Human intelligence is complex, encompassing various cognitive abilities such as problem-solving, creativity, emotional intelligence, and social interaction. Trust in AI should be based on objective performance rather than subjective impressions.

Neural Network 90

Neural Network Artificial Intelligence Artificial Intelligence Explainability 90

Unite.AI

AUGUST 25, 2023

Just as supply chain disruptions became the frequent subject of boardroom discussions in 2020, Generative AI quickly became the hot topic of 2023. The variety and volume of data and the different types of data add additional complexity to an extremely complex real-world problem: how to optimize supply chain performance.

Generative AI 245

Generative AI AI AI ESG 245

Marktechpost

DECEMBER 14, 2023

It was discerned between eight subjects based on their diverse pronunciation of vowels with an accuracy rate of 78%. Impressively, Brainoware outperformed artificial networks in predicting the Henon map, a complex mathematical construct within chaotic dynamics. The implications extend beyond AI augmentation.

Artificial Intelligence 114

Artificial Intelligence Artificial Intelligence Neural Network Machine Learning 114

Marktechpost

MARCH 24, 2024

Early techniques like Eigenfaces used Principal Component Analysis (PCA) to learn statistical priors from data but severely lacked the ability to capture the real-world complexities of lighting, expressions, and viewpoints beyond frontal poses.

Computer Vision 89

Computer Vision Neural Network Machine Learning ML 89

Viso.ai

APRIL 29, 2024

A Spatial Transformer Network (STN) is an effective method to achieve spatial invariance of a computer vision system. STNs are used to “teach” neural networks how to perform spatial transformations on input data to improve spatial invariance. Architecture of a spatial transformer network from the original paper.

Neural Network 52

Neural Network Computer Vision Robotics Convolutional Neural Networks 52

Unite.AI

FEBRUARY 19, 2024

RPA Bots Becoming Super Bots: Driving Intelligent Decision Making RPA bots that originally operated on rule-based programs through learning patterns and emulating human behavior for performing repetitive and menial tasks have become super bots, with Conversational AI and Neural Network algorithms coming into force.

Automation 182

Automation Neural Network Natural Language Processing Robotics 182

IBM Journey to AI blog

APRIL 18, 2024

A world where computer minds pilot self-driving cars, delve into complex scientific research, provide personalized customer service and even explore the unknown. Navigation : Self-driving cars showcase impressive abilities, but human-like navigation requires immediate adaptation to complex environments.

Neural Network 242

Neural Network LLM AI AI 242

Unite.AI

AUGUST 4, 2023

Image Source Generative AI technology, particularly deep learning models like Generative Adversarial Networks (GANs) and transformers, can produce highly realistic and plausible content, including text, images, audio, and videos. Checking the sources is essential when dealing with important subjects like combating climate change.

Generative AI 236

Generative AI Large Language Models AI AI 236

IBM Journey to AI blog

AUGUST 15, 2023

This collaboration enables clients to leverage both technical capabilities and transformational services to solve complex problems and create additional value. TCS’s expertise in the Power platform space, dedicated IBM i and AIX Centre of Excellence and subject matter expert (SME) community make them a trusted partner for migration.

Artificial Intelligence 161

Artificial Intelligence Artificial Intelligence AI AI 161

Marktechpost

DECEMBER 14, 2023

3D human motion reconstruction is a complex process that involves accurately capturing and modeling the movements of a human subject in three dimensions. Existing video-based 3D HPS methods incorporate temporal information through various neural network architectures.

Neural Network 111

Neural Network Deep Learning AI AI 111

Unite.AI

FEBRUARY 23, 2024

The goal is to maximize the efficiency and applicability of AI responses, whether it's generating text, code, images, or even engaging in complex problem-solving. Applied Learning Project : Real-world applications, from social media posts to complex problem-solving using AI.

Prompt Engineer 272

Prompt Engineer Prompt Engineering Large Language Models Generative AI 272

Marktechpost

JANUARY 25, 2024

These models use complex algorithms to interpret text and translate it into visual content, simulating creativity and understanding previously thought unique to humans. In AI image generation, text-to-image diffusion models have become a focal point due to their ability to create photorealistic images from textual descriptions.

AI 104

AI AI Artificial Intelligence Artificial Intelligence 104

Marktechpost

DECEMBER 12, 2023

Conventional methods include using pain assessment systems or tracking behavioral reactions, which have certain drawbacks, including subjectivity, lack of validity, reliance on observer skill and training, and inability to represent the complex emotional and motivational dimensions of pain adequately. Check out the Paper.

Deep Learning 86

Deep Learning Automation Convolutional Neural Networks Neural Network 86

Marktechpost

DECEMBER 31, 2023

Chronic painful Temporomandibular Disorders (TMD) present a multifaceted challenge in the medical field, primarily due to their intricate nature and the complexity of effectively diagnosing and treating them. These methods have been instrumental in revealing the structural and functional changes within the brain’s pain-related networks.

Categorization 105

Categorization Algorithm Deep Learning Artificial Intelligence 105

Towards AI

FEBRUARY 20, 2024

While the first mathematical model of a neural network was published way back in 1943, modern AI research really kicked off in the 1950s. All these terms are extremely subjective and can have many different meanings, especially “intelligence.” Others say it will take years or decades to arrive, maybe even centuries.

Neural Network 100

Neural Network Artificial Intelligence Artificial Intelligence AI Researcher 100

Towards AI

APRIL 7, 2024

Deep learning multiple– layer artificial neural networks are the basis of deep learning, a subdivision of machine learning (hence the word “deep”). Convolutional neural networks (CNNs) and recurrent neural networks (RNNs) are two examples of deep learning methods that are being used more and more in GIS applications.

Machine Learning 92

Machine Learning Neural Network Convolutional Neural Networks Deep Learning 92

IBM Journey to AI blog

AUGUST 8, 2023

Transportation infrastructure—a broad term that encompasses the networks of fixed installations that ensure safe transport of people and goods—is a critical part of thriving, modern economies. Instruments on complex assets like fuel tanks, speedometers and engines gather data and analyze it using AI.

Artificial Intelligence 179

Artificial Intelligence Artificial Intelligence AI AI 179

IBM Journey to AI blog

JUNE 20, 2023

With a good digital twin, its possible to predict how well an asset will perform under the conditions it will be subjected to. Reduced maintenance costs and downtime: Monitor assets in real time, regardless of complexity. Digital twins allow companies to run tests and predict performance based on simulations.

Machine Learning 197

Machine Learning Automation AI AI 197

Towards AI

APRIL 11, 2024

Arcangelo is looking for an experienced dev to build an e-commerce chatbot with complex features. This post simplifies this complexity into something more approachable, starting with the basics of encoding and decoding, then RNNs and LSTMs, and further into the game changers, transformers, and attention models. Meme of the week!

AI 93

AI AI Machine Learning Large Language Models 93

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.

Neural Network 145

Neural Network Robotics Computer Vision AI Modeling 145

IBM Journey to AI blog

APRIL 4, 2023

Since then, there have been countless questions about the practical applications of these powerful models that seemingly understand the complex relationships between words, sentences, and concepts. That text goes through two neural networks, where hundreds of millions of computations are performed to produce thousands of possible sentences.

Large Language Models 222

Large Language Models Neural Network Metadata AI Modeling 222

Marktechpost

JULY 11, 2023

Artificial neural networks are the key component here which are inspired by the structure and functioning of the human brain. This mainly concerns the mathematical simplicity of multi-layer perceptrons (MLPs) that are often used as test beds for analyzing empirical phenomena in more complex models.

Neural Network 98

Neural Network Deep Learning Computer Vision Natural Language Processing 98

Unite.AI

AUGUST 29, 2023

An Introduction to TinyML : Why the World Needs TinyML Internet of Things or IoT devices aim to leverage edge computing, a computing paradigm that refers to a range of devices & networks near the user to enable seamless and real-time processing of data from millions of sensors & devices interconnected to one another.

Neural Network 246

Neural Network ML Algorithm Auto-classification 246

Pickl AI

FEBRUARY 29, 2024

ChatGPT-The Disjunctive Bot: Revolutionizing Conversational AI In the realm of conversational AI, a new frontrunner has emerged – ChatGPT, often dubbed as “The Disjunctive Bot,” owing to its unparalleled ability to grasp complex, disjunctive conversations and provide comprehensive responses.

Conversational AI 52

Conversational AI ChatGPT Neural Network AI 52

IBM Journey to AI blog

FEBRUARY 22, 2024

As we see enterprises increasingly face geographic requirements around sovereignty, IBM Cloud® is committed to helping clients navigate beyond the complexity so they can drive true transformation with innovative hybrid cloud technologies. We believe this is particularly important with the rise of generative AI.

Automation 203

Automation Generative AI AI AI 203

Mlearning.ai

JULY 23, 2023

Composed of multiple stacked layers, the encoder employs two fundamental sub-layers: self-attention and feed-forward neural networks. Feed-Forward Networks in the Encoder Alongside self-attention, feed-forward neural networks add an essential layer of non-linearity and complexity to the encoder’s representations.

Neural Network 52

Neural Network Natural Language Processing Large Language Models Deep Learning 52

Pickl AI

FEBRUARY 26, 2024

From automating mundane tasks to driving complex decision-making processes, AI embodies the epitome of innovation. Exploring the depths Artificial Intelligence encompasses a spectrum of technologies designed to simulate human intelligence, ranging from machine learning algorithms to neural networks.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Neural Network Algorithm 52

ODSC - Open Data Science

MARCH 17, 2023

However, we already know that: Machine Learning models deliver better results in terms of accuracy when we are dealing with interrelated series and complex patterns in our data. This is a great opportunity to use machine learning and other advanced techniques to see if we can enhance the forecasting accuracy of our results.

Machine Learning 98

Machine Learning Auto-classification Neural Network Deep Learning 98

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. This innovative strategy enables a comprehensive understanding of the underlying components within the neural network.

Explainability 83

Explainability Neural Network AI Tools Computer Vision 83

IBM Journey to AI blog

MARCH 27, 2024

Both options deliver complex Software-as-a-Service (SaaS) solutions. Even a simple listing of basic components provides a sobering idea of the project’s overall complexity and pricing: A tract of land that can support a structure of at least 10,000 square feet. Networking equipment to connect 5,000 servers.

Artificial Intelligence 276

Artificial Intelligence Artificial Intelligence Data Platform Automation 276

Mlearning.ai

MAY 30, 2023

Recurrent Neural Networks (RNNs) have become a potent tool for analysing sequential data in the large subject of artificial intelligence and machine learning. As we know that Convolutional Neural Network (CNN) is used for structured arrays of data such as image data. RNN is used for sequential data.

Neural Network 52

Neural Network Convolutional Neural Networks Natural Language Processing Data Analysis 52

Marktechpost

AUGUST 13, 2023

Various approaches have been proposed to untangle this complexity. However, they demand collections of multiview images of the subject scene for effective implementation. These coefficients encompass diffuse reflectance, material specular reflectance, and normal vectors, which are generated through a neural network.

AI Researcher 97

AI Researcher AI Research Neural Network AI 97

Unite.AI

SEPTEMBER 4, 2023

Generative Adversarial Networks or GANs have been enjoying new applications in the image editing industry. Identity Preservations The model’s ability to preserve the identity of subjects when editing the image is measured using a pre-trained ArcFace feature extraction network.

ML 147

ML AI AI Artificial Intelligence 147

Mlearning.ai

FEBRUARY 4, 2024

This is the second part of my Neural Networks 101 series, in this blog we are going to discuss about the training of machine learning models. Every day, I tweet about a variety of subjects here, such as software engineering, system design, deep learning, machine learning, and more. I wrote a detailed blog post about it already.

Neural Network 52

Neural Network Deep Learning Machine Learning Software Engineer 52