Towards AI

NOVEMBER 15, 2024

With policymakers and civil society demanding reliable identification of AI content, SynthID represents an important development in addressing issues around AI-driven misinformation and authenticity. Community workshop on explainable AI (XAI) in education. The second network then scans for this pattern in […]

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Neural Network Explainable AI Explainability AI 92

NVIDIA

DECEMBER 13, 2023

And generative AI in the hands of fraudsters only promises to make this more profitable. AI for fraud detection uses multiple machine learning models to detect anomalies in customer behaviors and connections as well as patterns of accounts and behaviors that fit fraudulent characteristics. Fraud review has a powerful new tool.

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Viso.ai

JULY 9, 2024

Generative AI, the infamous category of artificial intelligence models that can craft new content like images, text, or code has taken the world by storm in recent years. Understanding Generative AI Generative AI refers to the class of AI models capable of generating new content depending on an input.

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ODSC - Open Data Science

MARCH 10, 2025

Through practical implementation, youll learn how to structure and index large datasets, integrate LangChain-based embeddings, and build AI systems that seamlessly retrieve and reason across multiple modalities. Perfect for developers and data scientists looking to push the boundaries of AI-powered assistants.

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IBM Journey to AI blog

SEPTEMBER 20, 2023

Large language models (LLMs) are a class of foundational models (FM) that consist of layers of neural networks that have been trained on these massive amounts of unlabeled data. brings new generative AI capabilities—powered by FMs and traditional machine learning (ML)—into a powerful studio spanning the AI lifecycle.

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ODSC - Open Data Science

OCTOBER 24, 2023

The full details are in my new book “Statistical Optimization for Generative AI and Machine Learning”, available here. Generating synthetic data NoGAN is the first algorithm in a series of high-performance, fast synthesizers not based on neural networks such as GAN. I provide a brief overview only.

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IBM Journey to AI blog

JULY 6, 2023

Deep learning algorithms are neural networks modeled after the human brain. to learn more) In other words, you get the ability to operationalize data science models on any cloud while instilling trust in AI outcomes. Deep learning teaches computers to process data the way the human brain does.

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How to Learn Machine Learning

JUNE 9, 2024

It is quite beneficial for organizations looking to capitalize on the potential of AI without making significant investments. 2) Explainable AI Explainability AI and interpretable machine learning are the different names of the same things. Explainability AI addresses these challenges of AI/ML solutions.

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Machine Learning Explainable AI ML Explainability 52

Pickl AI

JULY 24, 2024

AI in the 21st Century The 21st century has witnessed an unprecedented boom in AI research and applications. The advent of big data, coupled with advancements in Machine Learning and deep learning, has transformed the landscape of AI. In 2011, IBM’s Watson gained fame by winning the quiz show “Jeopardy!

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ODSC - Open Data Science

FEBRUARY 25, 2025

At ODSC East 2025 , were excited to present 12 curated tracks designed to equip data professionals, machine learning engineers, and AI practitioners with the tools they need to thrive in this dynamic landscape. This track will explore how AI and machine learning are accelerating breakthroughs in life sciences.

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Data Scientist Machine Learning Large Language Models ML Engineer 52

Viso.ai

JANUARY 21, 2025

Youll explore: Generative AI Vision Transformers (ViTs) and their Architectural Revolution. This is a type of AI that can create high-quality text, images, videos, audio, and synthetic data. To be more clear, these are AI tools that create highly realistic and innovative outputs based on various multimodal inputs.

Computer Vision 52

Computer Vision Artificial Intelligence Artificial Intelligence Explainability 52

Viso.ai

DECEMBER 6, 2023

State of Computer Vision Tasks in 2024 The field of computer vision today involves advanced AI algorithms and architectures, such as convolutional neural networks (CNNs) and vision transformers ( ViTs ), to process, analyze, and extract relevant patterns from visual data. Read our article about ethical challenges at OpenAI.

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IBM Journey to AI blog

SEPTEMBER 3, 2024

They manipulate AI tools to clone voices, generate fake identities and create convincing phishing emails—all with the intent to scam, hack, steal a person’s identity or compromise their privacy and security. Build a solid tech stack and remain open to experimenting with the latest AI tools. million in 2024.

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The MLOps Blog

AUGUST 11, 2023

OpenAI, on the other hand, has been at the forefront of advancements in generative AI models, such as GPT-3, which heavily rely on embeddings. Model Training : Embeddings enable neural networks to consume training data in formats that extract features from the data. This is where embeddings come into play.

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IBM Journey to AI blog

FEBRUARY 9, 2024

2022 was the year that generative artificial intelligence (AI) exploded into the public consciousness, and 2023 was the year it began to take root in the business world. The evolution of generative AI has mirrored that of computers, albeit on a dramatically accelerated timeline.

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