ODSC - Open Data Science

FEBRUARY 25, 2025

This track brings together industry pioneers and leading researchers to showcase the breakthroughs shaping tomorrows AI landscape. Deep Learning & Multi-Modal Models TrackPush Neural NetworksFurther Dive into the latest advancements in neural networks, multimodal learning, and self-supervised models.

Data Scientist 52

Data Scientist Machine Learning Large Language Models ML Engineer 52

ODSC - Open Data Science

FEBRUARY 18, 2025

Computer VisionAI agents in autonomous robotics interpret visual data to navigate complex environments, such as self-driving cars. Recent breakthroughs include OpenAIs GPT models, Google DeepMinds AlphaFold for protein folding, and AI-powered robotic assistants in industrial automation.

Explainability 59

Explainability Automation AI AI 59

How to Learn Machine Learning

JANUARY 21, 2023

Artificial intelligence (AI) is a term that encompasses the use of computer technology to solve complex problems and mimic human decision-making. At its core, AI relies on algorithms, data processing, and machine learning to generate insights from vast amounts of data. This has helped to drive innovation in the industry.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Robotics 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

The advent of Deep Learning in the 2000s, driven by increased computational capabilities and the availability of large datasets, further propelled neural networks into the spotlight. Robotics Neural networks are also applied in robotics, enabling machines to learn from their environments and perform complex tasks.

Neural Network 52

Neural Network Machine Learning Convolutional Neural Networks Natural Language Processing 52

Pickl AI

JANUARY 13, 2025

The Hundred-Page Machine Learning Book By Andriy Burkov This compact yet comprehensive guide introduces Machine Learning fundamentals for beginners while offering advanced insights for professionals. 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

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

Ofemwire

MARCH 1, 2024

It’s like a robot that plays a game but doesn’t learn from its mistakes. Limited Memory AI : These AIs can remember some things from the past to help them make decisions in the present. It’s like a robot that remembers where it’s been before so it can figure out where to go next.

Neural Network 52

Neural Network Machine Learning Artificial Intelligence Artificial Intelligence 52

Viso.ai

DECEMBER 6, 2023

Real-Time Computer Vision: With the help of advanced AI hardware , computer vision solutions can analyze real-time video feeds to provide critical insights. The most common example is security analytics , where deep learning models analyze CCTV footage to detect theft, traffic violations, or intrusions in real-time.

Computer Vision 52

Computer Vision Convolutional Neural Networks Neural Network Categorization 52

Viso.ai

JANUARY 21, 2025

This tech is powering some of the biggest advancements in virtual reality, augmented reality, and robotics. Explainable AI (XAI) in Vision Systems Explainable Artificial Intelligence (XAI) focuses on making AI decision-making transparent and understandable. These methods create detailed 3D maps of environments.

Computer Vision 52

Computer Vision Artificial Intelligence Artificial Intelligence Explainability 52

Pickl AI

NOVEMBER 18, 2024

Reinforcement Learning Reinforcement learning is a type of Machine Learning where an agent learns by interacting with its environment. It’s commonly used in robotics, gaming, and autonomous systems. TensorFlow and Keras (often used together) are excellent for deep learning, offering flexibility and scalability.

Machine Learning 52

Machine Learning Algorithm Data Quality Neural Network 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

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