AWS Machine Learning Blog

NOVEMBER 26, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API. The following screenshot shows the response that we get from the LLM (truncated for brevity).

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Marktechpost

MAY 30, 2024

It covers how to develop NLP projects using neural networks with Vertex AI and TensorFlow. Introduction to Generative AI This introductory microlearning course explains Generative AI, its applications, and its differences from traditional machine learning. It also introduces Google’s 7 AI principles.

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ODSC - Open Data Science

MARCH 10, 2025

By 2017, deep learning began to make waves, driven by breakthroughs in neural networks and the release of frameworks like TensorFlow. Sessions on convolutional neural networks (CNNs) and recurrent neural networks (RNNs) started gaining popularity, marking the beginning of data sciences shift toward AI-driven methods.

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IBM Journey to AI blog

JANUARY 10, 2024

The category of AI algorithms includes ML algorithms, which learn and make predictions and decisions without explicit programming. AI systems, particularly complex models like deep neural networks, can be hard to control and interpret.

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Flipboard

DECEMBER 3, 2024

By integrating multiple data sources and explainable research results, including weather patterns and soil data, the agent delivers personalized and context-aware recommendations. He’s the author of the bestselling book “Interpretable Machine Learning with Python,” and the upcoming book “DIY AI.”

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AWS Machine Learning Blog

MARCH 21, 2025

Amazon Bedrock is a fully managed service that provides a single API to access and use various high-performing foundation models (FMs) from leading AI companies. It offers a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI practices. samples/2003.10304/page_5.png"

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Unite.AI

JANUARY 12, 2024

Competitions also continue heating up between companies like Google, Meta, Anthropic and Cohere vying to push boundaries in responsible AI development. The Evolution of AI Research As capabilities have grown, research trends and priorities have also shifted, often corresponding with technological milestones.

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TransOrg Analytics

FEBRUARY 11, 2025

These are just a few ways Artificial Intelligence (AI) silently influences our daily lives. As AI continues integrating into every aspect of society, the need for Explainable AI (XAI) becomes increasingly important. What is Explainable AI? Why is Explainable AI Important?

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Towards AI

AUGUST 8, 2024

Then, moves to a more complex NN with one hidden layer, explaining its forward and backward training processes in detail. Feedback Loops in Generative AI: How AI May Shoot Itself in the Foot by Anthony Demeusy Generative AI can enhance creativity, but beware of feedback loops! Our must-read articles 1.

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ODSC - Open Data Science

MARCH 12, 2025

The next wave of advancements, including fine-tuned LLMs and multimodal AI, has enabled creative applications in content creation, coding assistance, and conversational agents. However, with this growth came concerns around misinformation, ethical AI usage, and data privacy, fueling discussions around responsible AI deployment.

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Viso.ai

FEBRUARY 12, 2024

True to its name, Explainable AI refers to the tools and methods that explain AI systems and how they arrive at a certain output. Artificial Intelligence (AI) models assist across various domains, from regression-based forecasting models to complex object detection algorithms in deep learning.

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ODSC - Open Data Science

MARCH 11, 2024

Introducing the Topic Tracks for ODSC East 2024 — Highlighting Gen AI, LLMs, and Responsible AI ODSC East 2024 , coming up this April 23rd to 25th, is fast approaching and this year we will have even more tracks comprising hands-on training sessions, expert-led workshops, and talks from data science innovators and practitioners.

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Google Research AI blog

FEBRUARY 10, 2023

We also had a number of interesting results on graph neural networks (GNN) in 2022. Furthermore, to bring some of these many advances to the broader community, we had three releases of our flagship modeling library for building graph neural networks in TensorFlow (TF-GNN).

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IBM Journey to AI blog

AUGUST 16, 2023

” We’ll come back to this story in a minute and explain how it relates to ChatGPT and trustworthy AI. As the world of artificial intelligence (AI) evolves, new tools like OpenAI’s ChatGPT have gained attention for their conversational capabilities.

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IBM Journey to AI blog

SEPTEMBER 3, 2024

The tool uses deep neural network models to spot fake AI audio in videos playing in your browser. ” eBook: AI governance for the enterprise The post Tools for trustworthy AI appeared first on IBM Blog. Until that standard is set, businesses are building tools they hope can fill the gap.

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Becoming Human

APRIL 19, 2024

Transparency and Explainability Transparency in AI systems is crucial for building trust among users and stakeholders. This lack of explainability raises concerns about accountability and the potential for unintended consequences. AI consultants must prioritize transparency by adopting models and techniques for interpretability.

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Towards AI

FEBRUARY 14, 2023

Generative AI involves the use of neural networks to create new content such as images, videos, or text. Another important trend to watch in the future of generative AI is the growing focus on ethical and responsible AI development.

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ODSC - Open Data Science

DECEMBER 5, 2023

Sarah Bird, PhD | Global Lead for Responsible AI Engineering | Microsoft —  Read the recap here! Jepson Taylor | Chief AI Strategist | Dataiku Thomas Scialom, PhD | Research Scientist (LLMs) | Meta AI Nick Bostrom, PhD | Professor, Founding Director | Oxford University, Future of Humanity Institute —  Read the recap here!

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AI Impacts

FEBRUARY 1, 2023

For a typical example, here is a diagram from a US Department of Defense report on responsible AI: 3 The system in this diagram is not formally evaluated for safety or performance until after “Acquisition/Development” 4 I do not find it surprising that this model is so common. 3 DoD Responsible AI Working Council (U.S.).

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AWS Machine Learning Blog

FEBRUARY 25, 2025

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

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Pickl AI

AUGUST 1, 2024

Summary : Deep Learning engineers specialise in designing, developing, and implementing neural networks to solve complex problems. They work on complex problems that require advanced neural networks to analyse vast amounts of data. Hyperparameter Tuning: Adjusting model parameters to improve performance and accuracy.

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Dlabs.ai

MARCH 17, 2021

He also runs his own YouTube channel , where he explains basic concepts of AI, shows how to use them, and talks through technological trends for the coming years. Fei-Fei Li Twitter The next person on the list is one of the most important women in AI, Dr Fei-Fei Li. But you can find out more in his review for Lex Fridman.

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Pickl AI

JULY 14, 2023

Machine Learning and Neural Networks (1990s-2000s): Machine Learning (ML) became a focal point, enabling systems to learn from data and improve performance without explicit programming. Techniques such as decision trees, support vector machines, and neural networks gained popularity.

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The MLOps Blog

JUNE 27, 2023

This includes features for model explainability, fairness assessment, privacy preservation, and compliance tracking. Truera offers capabilities such as model debugging, explainability, and fairness assessment to gain insights into model behavior and identify potential issues or biases. Learn more from the documentation.

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Flipboard

JULY 28, 2023

Paige Vickers/Vox; Getty Images The AI debate splitting the tech world, explained. Last week, Meta made a game-changing move in the world of AI. Some experts point out, for example, that we had the problem of misinformation even before AI existed in its current form.

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Heartbeat

OCTOBER 12, 2023

The Rise of Large Language Models The emergence and proliferation of large language models represent a pivotal chapter in the ongoing AI revolution. These models, powered by massive neural networks, have catalyzed groundbreaking advancements in natural language processing (NLP) and have reshaped the landscape of machine learning.

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Pickl AI

DECEMBER 16, 2024

GPUs, TPUs, and AI frameworks like TensorFlow drive computational efficiency and scalability. Technical expertise and domain knowledge enable effective AI system design and deployment. Transparency, fairness, and adherence to privacy laws ensure responsible AI use. Algorithms Algorithms form the core of AI systems.

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ODSC - Open Data Science

FEBRUARY 25, 2025

Topics Include: Advanced ML Algorithms & EnsembleMethods Hyperparameter Tuning & Model Optimization AutoML & Real-Time MLSystems Explainable AI & EthicalAI Time Series Forecasting & NLP Techniques Who Should Attend: ML Engineers, Data Scientists, and Technical Practitioners working on production-level ML solutions.

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Viso.ai

DECEMBER 18, 2023

Generation With Neural Network Techniques Neural Networks are the most advanced techniques of automated data generation. Neural networks can also synthesize unstructured data like images and video. This generative AI technique involves two competing neural networks: a generator and a discriminator.

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ODSC - Open Data Science

AUGUST 21, 2023

A wide range of topics will be discussed, such as TensorFlow, neural networks, PyTorch, autonomous machines, recommendation systems, reinforcement learning, and much more. Research Frontiers Stay abreast of the latest developments in data science and AI with this track.

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Data Science Machine Learning Deep Learning Data Mining 52

Pickl AI

SEPTEMBER 17, 2024

AI in Security Automation and Incident Response AI is revolutionising security automation and incident response by enabling faster, more efficient, and more accurate responses to cyber threats.

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ODSC - Open Data Science

SEPTEMBER 20, 2023

Confirmed Extra Events Halloween Data After Dark AI Expo and Demo Hall Virtual Open Spaces Morning Run Day 3: Wednesday, November 1st (Bootcamp, Platinum, Gold, Silver, VIP, Virtual Platinum, Virtual Premium) The third day of ODSC West 2023, will be the second and last day of the Ai X Business and Innovation Summit and the AI Expo and Demo Hall.

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Dlabs.ai

AUGUST 31, 2021

AI & NLP Day 2021 Date: September 23-24h Place: Online Ticket: 399-1,599 PLN The next AI event is a little more focused, placing the lion’s share of its attention on natural language programming. Day two is for workshops — with twelve intimate sessions covering: “Practical machine learning for Python time series” “Uncertainty?

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Pickl AI

AUGUST 2, 2023

This humongous dataset was used to form a deep learning neural network […] modeled after the human brain—which allowed ChatGPT to learn patterns and relationships in the text data […] predicting what text should come next in any given sentence. How ChatGPT Works? Key features of ChatGPT4 which make it better than GPT 3.5

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ODSC - Open Data Science

JANUARY 29, 2024

EVENT — ODSC East 2024 In-Person and Virtual Conference April 23rd to 25th, 2024 Join us for a deep dive into the latest data science and AI trends, tools, and techniques, from LLMs to data analytics and from machine learning to responsible AI.

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Google Research AI blog

FEBRUARY 23, 2023

Previous work had shown that convolutional neural networks (CNNs) could interpret ultrasounds acquired by trained sonographers using a standardized acquisition protocol. the LLM would generate a response explaining that yes, stress can cause nosebleeds, and detail some possible mechanisms.

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