IBM Journey to AI blog

OCTOBER 16, 2023

It encompasses risk management and regulatory compliance and guides how AI is managed within an organization. Foundation models: The power of curated datasets Foundation models , also known as “transformers,” are modern, large-scale AI models trained on large amounts of raw, unlabeled data.

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NVIDIA

MARCH 1, 2024

Developers of trustworthy AI understand that no model is perfect, and take steps to help customers and the general public understand how the technology was built, its intended use cases and its limitations.

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Mlearning.ai

DECEMBER 31, 2023

Principles of Explainable AI( Source ) Imagine a world where artificial intelligence (AI) not only makes decisions but also explains them as clearly as a human expert. This isn’t a scene from a sci-fi movie; it’s the emerging reality of Explainable AI (XAI). What is Explainable AI?

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Towards AI

OCTOBER 3, 2024

Lifelong Learning Models: Research aims to develop models that can learn incrementally without forgetting previous knowledge, which is essential for applications in autonomous systems and robotics. – Stakeholder Resistance: There can be resistance from stakeholders who may not fully understand […]

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ODSC - Open Data Science

SEPTEMBER 26, 2024

The NVIDIA AI Hackathon at ODSC West, Reinforcement Learning for Finance, the Future of Humanoid AI Robotics, and Detecting Anomalies Unleash Innovation at the NVIDIA AI Hackathon at ODSC West 2024 Ready to put your data science skills to the test? Where do explainable AI models come into play?

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ODSC - Open Data Science

FEBRUARY 18, 2025

This is not science fiction, as these are the promises of PhD-level AI agentshighly autonomous systems capable of complex reasoning, problem-solving, and adaptive learning. Unlike traditional AI models, these agents go beyond pattern recognition to independently analyze, reason, and generate insights in specialized fields.

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Pickl AI

DECEMBER 10, 2024

Summary : Data Analytics trends like generative AI, edge computing, and Explainable AI redefine insights and decision-making. Key Takeaways Generative AI simplifies data insights, enabling actionable decision-making and enhancing data storytelling.

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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. In the years to come, AI is expected to become even more powerful.

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ODSC - Open Data Science

FEBRUARY 25, 2025

Generative AI TrackBuild the Future with GenAI Generative AI has captured the worlds attention with tools like ChatGPT, DALL-E, and Stable Diffusion revolutionizing how we create content and automate tasks. This track brings together industry pioneers and leading researchers to showcase the breakthroughs shaping tomorrows AI landscape.

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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.

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Viso.ai

DECEMBER 6, 2023

Edge AI involves processing data near the source. Therefore, edge devices like servers or computers are connected to cameras and run AI models in real-time applications. Real-Time Computer Vision: With the help of advanced AI hardware , computer vision solutions can analyze real-time video feeds to provide critical insights.

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The MLOps Blog

FEBRUARY 27, 2025

She remarked: The regulatory focus, especially in the draft AI Act, is less on the internal structure of the algorithms (i.e., their code or mathematical models) and more on the practical contexts in which AI is used. Syntax of a robots-txt file to prevent agents from crawling a website. Lets get into it!

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Marktechpost

JULY 11, 2023

Stacking is an approach that lets AI models use other models as tools or mediums to accomplish a task. AI agents, the computer programs that interact with the environment to make decisions operate autonomously, or interact with humans or other agents using natural language.

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AI Impacts

DECEMBER 22, 2022

Quick clarifications First, to fend off misunderstanding— I take ‘slowing down dangerous AI’ to include any of: reducing the speed at which AI progress is made in general, e.g. as would occur if general funding for AI declined.

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IBM Journey to AI blog

SEPTEMBER 3, 2024

And while organizations are taking advantage of technological advancements such as generative AI , only 24% of gen AI initiatives are secured. This lack of security threatens to expose data and AI models to breaches, the global average cost of which is a whopping USD 4.88 Choose energy-efficient AI models or frameworks.

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NVIDIA

MARCH 18, 2025

However, once a model is trained, it significantly lowers the barrier for others to build on top of it. Post-training scaling: Fine-tuning AI models for specific real-world applications requires 30x more compute during AI inference than pretraining.

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