Unite.AI

DECEMBER 19, 2024

Thats why explainability is such a key issue. The more we can explain AI, the easier it is to trust and use it. LLMs are helping us connect the dots between complicated machine-learning models and those who need to understand them. Researchers are using this ability to turn LLMs into explainable AI tools.

Large Language Models 208

Large Language Models Explainable AI Explainability Conversational AI 208

How to Learn Machine Learning

APRIL 8, 2025

TLDR: In this article we will explore machine learning definitions from leading experts and books, so sit back, relax, and enjoy seeing how the field’s brightest minds explain this revolutionary technology! Yet it captures the essence of what makes machine learning revolutionary: computers figuring things out on their own.

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Machine Learning Deep Learning Artificial Intelligence Artificial Intelligence 75

Marktechpost

JANUARY 14, 2025

These challenges highlight the need for systems that can adapt and learnproblems that Machine Learning (ML) is designed to address. Explaining Machine Learning Machine Learning is a branch of Artificial Intelligence ( AI ) that allows systems to learn and improve from data without being explicitly programmed.

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Machine Learning ML Algorithm Artificial Intelligence 80

Towards AI

DECEMBER 18, 2024

Photo by Mahdis Mousavi on Unsplash Do you want to get into machine learning? I have been in the Data field for over 8 years, and Machine Learning is what got me interested then, so I am writing about this! Forget deep learning for now. Upgrade to access all of Medium. Youre in for a ride. More about me here.

Machine Learning 105

Machine Learning Neural Network Deep Learning Explainability 105

AI News

NOVEMBER 13, 2024

Business Analyst: Digital Director for AI and Data Science Business Analyst: Digital Director for AI and Data Science is a course designed for business analysts and professionals explaining how to define requirements for data science and artificial intelligence projects.

Prompt Engineering 308

Prompt Engineering Prompt Engineer Artificial Intelligence Artificial Intelligence 308

Unite.AI

NOVEMBER 14, 2024

“Our initial question was whether we could combine the best of both sensing modalities,” explains Mingmin Zhao, Assistant Professor in Computer and Information Science. “Our signal processing and machine learning algorithms are able to extract rich 3D information from the environment.”

Robotics 275

Robotics Machine Learning Explainability Algorithm 275

Analytics Vidhya

MAY 5, 2024

7B Explained appeared first on Analytics Vidhya. It is designed for a variety of code and natural language generation tasks. The 7B model is part of the Gemma family and is further trained on more than 500 billion tokens […] The post Is Coding Dead? Google’s CodeGemma 1.1

Explainability 327

Explainability Large Language Models AI Tools Deep Learning 327

Machine Learning Mastery

NOVEMBER 22, 2024

This well-known motto perfectly captures the essence of ensemble methods: one of the most powerful machine learning (ML) approaches -with permission from deep neural networks- to effectively address complex problems predicated on complex data, by combining multiple models for addressing one predictive task. Unity makes strength.

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Explainability Neural Network Machine Learning ML 115

Flipboard

JANUARY 15, 2025

Zara Dars six-minute explainer video So what are Integrals? Justice Alito should watch this Pornhub video about calculus. has a little over half a

Explainability 181

Explainability Machine Learning 181

Analytics Vidhya

MAY 3, 2024

50 Billion AGI Gamble Explained! His vision represents a significant shift in the development of AI technologies, emphasizing the transformative potential of AGI across various societal sectors. Altman has […] The post Is Sam Altman Crazy or a Genius? $50 appeared first on Analytics Vidhya.

Explainability 328

Explainability OpenAI AI AI 328

IBM Journey to AI blog

OCTOBER 15, 2024

When a user taps on a player to acquire or trade, a list of “Top Contributing Factors” now appears alongside the numerical grade, providing team managers with personalized explainability in natural language generated by the IBM® Granite™ large language model (LLM). ” The grading system is written in Node.js

Explainability 257

Explainability Machine Learning Large Language Models Algorithm 257

Flipboard

MARCH 7, 2025

The AI industry has a new buzzword: "PhD-level AI." According to a report from The Information, OpenAI may be planning to launch several specialized AI "agent" products including a $20,000 monthly tier focused on supporting "PhD-level research."

Explainability 180

Explainability OpenAI Software Development AI 180

Unite.AI

MARCH 1, 2025

A 2023 study developed a machine learning model that achieved up to 90% accuracy in determining whether mutations were harmful or benign. Without the speed of machine learning, it likely would have taken much longer to recognize which genetic interactions were the most promising for fighting COVID-19.

Machine Learning 179

Machine Learning AI AI Explainable AI 179

Towards AI

FEBRUARY 10, 2025

We have used machine learning models and natural language processing (NLP) to train and identify distress signals. We have realized that less effective research has been conducted in applying data science and machine learning to better the adverse consequences of war, pushing us to design this dataset.

Data Science 98

Data Science Machine Learning Natural Language Processing NLP 98

Flipboard

FEBRUARY 5, 2025

Metas chief AI scientist and one of the godfathers of machine learning explains why radically different types of models are needed for robots and driverless cars to reach their full potential Our podcast on science and technology.

Machine Learning 181

Machine Learning Robotics Explainability AI 181

AI News

FEBRUARY 13, 2025

Recent benchmarks from Hugging Face, a leading collaborative machine-learning platform, position Qwen at the forefront of open-source large language models (LLMs). “The selection of Qwen AI for iPhone integration would validate Alibaba’s AI capabilities,” explains Morningstar’s senior equity analyst Chelsey Lam.

Big Data 296

Big Data Natural Language Processing Large Language Models AI 296

Analytics Vidhya

OCTOBER 10, 2022

Introduction In this article, we will create a Mask v/s No Mask classifier using CNN and Machine Learning Classifiers. We will learn everything from scratch, and I will explain every […]. This article was published as a part of the Data Science Blogathon.

Machine Learning 393

Machine Learning Data Science Explainability Deep Learning 393

Unite.AI

NOVEMBER 29, 2024

Prescriptive AI uses machine learning and optimization models to evaluate various scenarios, assess outcomes, and find the best path forward. Once the data is ready, prescriptive AI moves into predictive modeling, using machine learning algorithms to analyze past patterns and predict future trends and behaviors.

Algorithm 276

Algorithm AI Data Ingestion AI 276

AI News

JANUARY 28, 2025

A triad of Ericsson AI labs Central to the Cognitive Labs initiative are three distinct research arms, each focused on a specialised area of AI: GAI Lab (Geometric Artificial Intelligence Lab): This lab explores Geometric AI, emphasising explainability in geometric learning, graph generation, and temporal GNNs.

AI Researcher 273

AI Researcher AI Research Data Scientist Big Data 273

Unite.AI

DECEMBER 17, 2024

Machine learning models can be used to detect suspicious patterns based on a series of datasets that are in constant evolution. Humans can validate automated decisions by, for example, interpreting the reasoning behind a flagged transaction, making it explainable and defensible to regulators.

Automation 246

Automation Explainability AI AI 246

AI News

DECEMBER 19, 2024

The boom of the last few years appears to have sparked a push to establish regulatory frameworks for AI governance, explains veistys. Thus, it is not clear whether the delay in the US is only due to lobbyism or other obstacles in the legislation enactment process, explains veistys.

Big Data 308

Big Data AI AI Algorithm 308

Flipboard

JANUARY 16, 2025

Videos earn almost three times as much per million views on Pornhub. What does it mean to Integrate? YouTube Watch On Zara Dar is an engineer who

Machine Learning 181

Machine Learning Explainability 181

Pickl AI

APRIL 6, 2025

Summary: Kernel methods in machine learning solve complex data problems using smart functions like the kernel trick. Learn how they work and how to apply them in real-world projects through Pickl.AIs data science courses. Learn how they work and how to apply them in real-world projects through Pickl.AIs data science courses.

Machine Learning 52

Machine Learning Data Science Algorithm Neural Network 52

AI News

DECEMBER 18, 2023

Zheng first explained how over a decade working in digital marketing and e-commerce sparked her interest more recently in data analytics and artificial intelligence as machine learning has become hugely popular. They then analyse and assess risks to ensure compliance with regulations.

Big Data 332

Big Data Neural Network Machine Learning Natural Language Processing 332

Analytics Vidhya

AUGUST 13, 2024

It explains how these plots can reveal patterns in data, making them useful for data scientists and machine learning practitioners. Introduction This article explores violin plots, a powerful visualization tool that combines box plots with density plots.

Data Scientist 287

Data Scientist Machine Learning Explainability Data Analysis 287

AI News

DECEMBER 15, 2023

In an interview at AI & Big Data Expo , Alessandro Grande, Head of Product at Edge Impulse , discussed issues around developing machine learning models for resource-constrained edge devices and how to overcome them. “A lot of the companies building edge devices are not very familiar with machine learning,” says Grande.

Big Data 343

Big Data Neural Network Machine Learning Explainability 343

Pickl AI

APRIL 1, 2025

Summary: Evaluation metrics are essential for assessing the performance of machine learning models. Introduction In todays world, machine learning is taking over industries, and the global market is growing fast. But here’s the thing: just having a fancy machine learning model isn’t enough.

Machine Learning 52

Machine Learning Explainability Data Science 52

Flipboard

JANUARY 27, 2025

DeepSeek: BBC correspondent explains what the Chinese AI bot is The Chinese-based large language model is disrupting the AI industry and the stock market. DeepSeek: BBC correspondent explains what the Chinese AI bot is The Chinese-based large language model is disrupting the AI industry and the stock

Explainability 181

Explainability Large Language Models AI AI 181

Pickl AI

MARCH 5, 2025

Summary: Accuracy in Machine Learning measures correct predictions but can be deceptive, particularly with imbalanced or multilabel data. The blog explains the limitations of using accuracy alone. Introduction When you work with Machine Learning , accuracy is the easiest way to measure success.

Machine Learning 52

Machine Learning Python Explainability AI 52

Unite.AI

APRIL 2, 2025

AI models, particularly those based on machine learning, often function as black boxes , meaning it is hard to understand how they arrive at certain conclusions. Mandates for AI to explain how it arrives at layoff recommendations also help ensure transparency. Another concern is transparency.

Automation 277

Automation AI AI Artificial Intelligence 277

Towards AI

FEBRUARY 10, 2025

It includes: Machine learning It helps AI to learn from data and experiences and improve its decision-making ability over time. These agents can efficiently interact with other agents, make decisions on their own (in limited scenarios), and complete tasks with little to no human supervision. How do they work?

Explainability 85

Explainability AI AI Natural Language Processing 85

AI News

OCTOBER 8, 2024

At the University of Maryland (UMD), interdisciplinary teams tackle the complex interplay between normative reasoning, machine learning algorithms, and socio-technical systems. ” Bottom-up approach : A newer method that uses machine learning to extract rules from data. There are always new situations that come up.”

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Artificial Intelligence Artificial Intelligence Explainability Big Data 319

AI News

OCTOBER 13, 2023

The second area is securing the use of AI within the workplace, because, you know, AI has some incredibly positive impacts on people … but the problem is there are some data protection requirements around that,” explains Barnett. Finally, is the question of, ‘Could AI be used by the bad guys against the good guys?’

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Inference Engine Big Data Machine Learning Explainability 335

Unite.AI

DECEMBER 30, 2024

As a professor specializing in computing systems, AI security, and machine learning, I have been driven to pursue science that generates large-scale impact on people's lives. It started over a decade ago, with my team at Lancaster University exploring fundamental challenges in AI and machine learning security.

Machine Learning 173

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AI News

JUNE 19, 2024

Acknowledging past shortcomings in machine learning utilisation, Snap’s CEO Evan Spiegel announced a new, assertive strategy to integrate AI and machine learning technologies into its services, marking a substantial departure from its long-term focus on revising its advertising approach.

Machine Learning 322

Machine Learning Big Data Generative AI AI 322

AWS Machine Learning Blog

FEBRUARY 19, 2025

More importantly, Automated Reasoning checks can explain why a statement is accurate using mathematically verifiable, deterministic formal logic. This enhances human decision-making by reducing hallucination risk and creating reproducible, explainable safeguards that help professionals better understand and trust FM-generated insights.

Automation 80

Automation Explainability Auto-complete Generative AI 80

Unite.AI

NOVEMBER 20, 2024

With daily advancements in machine learning , natural language processing , and automation, many of these companies identify as “cutting-edge,” but struggle to stand out. As of 2024, there are approximately 70,000 AI companies worldwide, contributing to a global AI market value of nearly $200 billion. Tangible benefits are key.

Deep Learning 147

Deep Learning Natural Language Processing Machine Learning AI 147