Unite.AI

JANUARY 12, 2024

The Evolution of AI Research As capabilities have grown, research trends and priorities have also shifted, often corresponding with technological milestones. The rise of deep learning reignited interest in neural networks, while natural language processing surged with ChatGPT-level models.

Generative AI 189

Generative AI Neural Network ChatGPT Natural Language Processing 189

IBM Journey to AI blog

AUGUST 11, 2023

MLOps is the next evolution of data analysis and deep learning. Simply put, MLOps uses machine learning to make machine learning more efficient. Generative AI is a type of deep-learning model that takes raw data, processes it and “learns” to generate probable outputs.

Data Science 170

Data Science DevOps Machine Learning Data Scientist 170

Mlearning.ai

FEBRUARY 6, 2023

With these statistics, a dispute process may be needed, but how would disputes be resolved if even the admissions officers don’t know why the model made a prediction ? This is why we need Explainable AI (XAI). The 2019 Conference on Empirical Methods in Natural Language Processing. [8] Weigreffe, Y.

Explainable AI 52

Explainable AI Explainability ChatGPT Chatbots 52

NVIDIA

DECEMBER 13, 2023

Financial Services Firms Embrace AI for Identity Verification The financial services industry is developing AI for identity verification. Tackling Model Explainability and Bias GNNs also enable model explainability with a suite of tools.

Explainability 111

Explainability Neural Network Computer Vision Generative AI 111

Pickl AI

SEPTEMBER 3, 2024

ReLU is widely used in Deep Learning due to its simplicity and effectiveness in mitigating the vanishing gradient problem. Tanh (Hyperbolic Tangent): This function maps input values to a range between -1 and 1, providing a smooth gradient for learning.

Neural Network 52

Neural Network Convolutional Neural Networks Natural Language Processing Machine Learning 52

Pickl AI

JULY 24, 2024

The Golden Age of AI (1960s-1970s) Experts often refer to the 1960s and 1970s as the “Golden Age of AI.” ” During this time, researchers made remarkable strides in natural language processing, robotics, and expert systems. 2011: IBM Watson defeats Ken Jennings on the quiz show “Jeopardy!

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Natural Language Processing Neural Network 52

Pickl AI

AUGUST 14, 2024

They consist of interconnected nodes that learn complex patterns in data. Different types of neural networks, such as feedforward, convolutional, and recurrent networks, are designed for specific tasks like image recognition, Natural Language Processing, and sequence modelling.

Neural Network 52

Neural Network Machine Learning Convolutional Neural Networks Natural Language Processing 52

Pickl AI

SEPTEMBER 17, 2024

What Is the Difference Between Artificial Intelligence, Machine Learning, And Deep Learning? Artificial Intelligence (AI) is a broad field that encompasses the development of systems capable of performing tasks that typically require human intelligence, such as learning, problem-solving, and decision-making.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Neural Network Machine Learning 52

The MLOps Blog

JUNE 27, 2023

Learn more The Best Tools, Libraries, Frameworks and Methodologies that ML Teams Actually Use – Things We Learned from 41 ML Startups [ROUNDUP] Key use cases and/or user journeys Identify the main business problems and the data scientist’s needs that you want to solve with ML, and choose a tool that can handle them effectively.

Machine Learning 134

Machine Learning Metadata Data Scientist Data Quality 134

Pickl AI

JULY 14, 2023

Big Data and Deep Learning (2010s-2020s): The availability of massive amounts of data and increased computational power led to the rise of Big Data analytics. Deep Learning, a subfield of ML, gained attention with the development of deep neural networks.

Neural Network 52

Neural Network Software Engineer Artificial Intelligence Artificial Intelligence 52

How to Learn Machine Learning

JANUARY 21, 2023

This market growth can be attributed to factors such as increasing demand for AI-based solutions in healthcare, retail, and automotive industries, as well as rising investments from tech giants such as Google , Microsoft , and IBM. In the years to come, AI is expected to become even more powerful.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Robotics Machine Learning 52

Pickl AI

SEPTEMBER 17, 2024

Summary : AI is transforming the cybersecurity landscape by enabling advanced threat detection, automating security processes, and adapting to new threats. It leverages Machine Learning, natural language processing, and predictive analytics to identify malicious activities, streamline incident response, and optimise security measures.

Machine Learning 52

Machine Learning IDP Algorithm AI 52

Heartbeat

FEBRUARY 2, 2024

Visual Question Answering (VQA) stands at the intersection of computer vision and natural language processing, posing a unique and complex challenge for artificial intelligence. is a significant benchmark dataset in computer vision and natural language processing. In xxAI — Beyond Explainable AI Chapter.

Computer Vision 52

Computer Vision Natural Language Processing Artificial Intelligence Artificial Intelligence 52

Pickl AI

JANUARY 13, 2025

Key Features: Comprehensive coverage of AI fundamentals and advanced topics. Explains search algorithms and game theory. Includes statistical natural language processing techniques. Covers all primary Machine Learning techniques. Key Features: Explains AI algorithms like clustering and regression.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Neural Network Machine Learning 52

Viso.ai

MARCH 26, 2024

The integration of Artificial Intelligence (AI) technologies within the finance industry has fully transitioned from experimental to indispensable. Initially, AI’s role in finance was limited to basic computational tasks. Real-world applications range from automating loan approvals to processing insurance claims.

Computer Vision 52

Computer Vision Neural Network Machine Learning Convolutional Neural Networks 52

Pickl AI

APRIL 2, 2024

Machine Learning: Subset of AI that enables systems to learn from data without being explicitly programmed. Supervised Learning: Learning from labeled data to make predictions or decisions. Unsupervised Learning: Finding patterns or insights from unlabeled data.

Data Science 52

Data Science Data Scientist Machine Learning Big Data 52

Ofemwire

MARCH 1, 2024

D – Deep Learning : A subset of machine learning where artificial neural networks, algorithms inspired by the human brain, learn from large amounts of data. Deep learning networks can automatically learn to represent patterns in the data with multiple levels of abstraction.

Neural Network 52

Neural Network Machine Learning Artificial Intelligence Artificial Intelligence 52

Viso.ai

JULY 9, 2024

Discriminative models include a wide range of models, like Convolutional Neural Networks (CNNs), Deep Neural Networks (DNNs), Support Vector Machines (SVMs), or even simpler models like random forests. However, generative AI models are a different class of deep learning.

Generative AI 52

Generative AI Neural Network Convolutional Neural Networks AI 52

Pickl AI

NOVEMBER 18, 2024

Natural language processing ( NLP ) allows machines to understand, interpret, and generate human language, which powers applications like chatbots and voice assistants. These real-world applications demonstrate how Machine Learning is transforming technology. Let’s explore some of the key trends.

Machine Learning 52

Machine Learning Algorithm Data Quality Neural Network 52

Heartbeat

SEPTEMBER 7, 2023

Imagine you’re training a deep learning model for image recognition. Case Study 3: Natural Language Processing Text-based AI models like chatbots and sentiment analyzers are becoming ubiquitous. It’s like having a virtual laboratory where every experiment is meticulously logged and displayed.

Explainability 52

Explainability Machine Learning Data Scientist Deep Learning 52

Marktechpost

JULY 11, 2023

Called AutoGPT, this tool performs human-level tasks and uses the capabilities of GPT-4 to develop an AI agent that can function independently without user interference. GPT 4, which is the latest add-on to OpenAI’s deep learning models, is multimodal in nature. Unlike the previous version, GPT 3.5,

Auto-complete 40

Auto-complete Generative AI Large Language Models OpenAI 40

Snorkel AI

MARCH 19, 2024

Google has established itself as a dominant force in the realm of AI, consistently pushing the boundaries of AI research and innovation. These breakthroughs have paved the way for transformative AI applications across various industries, empowering organizations to leverage AI’s potential while navigating ethical considerations.

Data Scientist 52

Data Scientist LLM Chatbots AI 52

Snorkel AI

MARCH 19, 2024

Google has established itself as a dominant force in the realm of AI, consistently pushing the boundaries of AI research and innovation. These breakthroughs have paved the way for transformative AI applications across various industries, empowering organizations to leverage AI’s potential while navigating ethical considerations.

Data Scientist 52

Data Scientist Chatbots AI AI 52

IBM Journey to AI blog

SEPTEMBER 3, 2024

Bias Humans are innately biased, and the AI we develop can reflect our biases. These systems inadvertently learn biases that might be present in the training data and exhibited in the machine learning (ML) algorithms and deep learning models that underpin AI development.

Explainability 215

Explainability Deep Learning AI AI 215

The MLOps Blog

AUGUST 11, 2023

More specifically, embeddings enable neural networks to consume training data in formats that allow extracting features from the data, which is particularly important in tasks such as natural language processing (NLP) or image recognition. Both these areas often demand large-scale model training.

ML 52

ML Machine Learning Data Ingestion Deep Learning 52