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 as Explainable AI Tools One of the standout features of LLMs is their ability to use in-context learning (ICL). Researchers are using this ability to turn LLMs into explainable AI tools.

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Analytics Vidhya

APRIL 30, 2021

Before I get into explaining the random forest algorithms and. The post Getting into Random Forest Algorithms appeared first on Analytics Vidhya. ArticleVideo Book This article was published as a part of the Data Science Blogathon.

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Analytics Vidhya

MAY 14, 2023

Thus, understanding the disparity between two fundamental algorithms, Regression vs Classification, becomes essential. […] The post Regression vs Classification in Machine Learning Explained! It is crucial for them to learn the correct strategy to identify or develop models for solving equations involving distinct variables.

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Analytics Vidhya

DECEMBER 14, 2021

This article was published as a part of the Data Science Blogathon Introduction In this article, I will explain to you about using Yolo v5 Algorithm for Detecting & Classifying different types of 60+ Road Traffic Signs. We will start from very basic and covers each step like Preparation of Dataset, Training, and Testing.

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Analytics Vidhya

JUNE 28, 2024

What differentiates them from relational databases is the implementation of ANN algorithms. Well, this article will explain what ANN algorithms in vector databases are and how […] The post Exploring ANN Algorithms in Vector Databases appeared first on Analytics Vidhya. What are they, you ask?

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Analytics Vidhya

FEBRUARY 6, 2023

In this article, we will discuss the ResNet architecture and its significance in the field of computer vision. […] The post Deep Residual Learning for Image Recognition (ResNet Explained) appeared first on Analytics Vidhya.

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Analytics Vidhya

AUGUST 22, 2021

The post Granger Causality in Time Series – Explained using Chicken and Egg problem appeared first on Analytics Vidhya. ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction The purpose of this article is to understand what is granger.

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Unite.AI

JULY 7, 2023

Indeed, some “black box” machine learning algorithms are so intricate and multifaceted that they can defy simple explanation, even by the computer scientists who created them. And if these applications are not expressive enough to meet explainability requirements, they may be rendered useless regardless of their overall efficacy.

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Analytics Vidhya

AUGUST 27, 2022

I will teach everything from very basic, like explaining the algorithm, proof of concept, and time complexity, and then I will […]. The post Solving C Language’s Famous Interview Question with Greedy Algorithm appeared first on Analytics Vidhya. You can find the complete question here.

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Analytics Vidhya

OCTOBER 31, 2022

The post Explainable Artificial Intelligence (XAI) for AI & ML Engineers appeared first on Analytics Vidhya.

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Unite.AI

SEPTEMBER 13, 2023

Increasingly though, large datasets and the muddled pathways by which AI models generate their outputs are obscuring the explainability that hospitals and healthcare providers require to trace and prevent potential inaccuracies. In this context, explainability refers to the ability to understand any given LLM’s logic pathways.

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Unite.AI

NOVEMBER 29, 2024

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. The next key component, optimization algorithms, is where prescriptive AI performs well. Another key issue is bias within AI algorithms.

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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.”

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Towards AI

JANUARY 21, 2025

Nevertheless, when I started familiarizing myself with the algorithm of LLMs the so-called transformer I had to go through many different sources to feel like I really understood the topic.In Before I start explaining the transformer, we need to recall that ChatGPT generates its output in a loop, one token after the other.

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AI News

JANUARY 17, 2025

MatterGen enables a new paradigm of generative AI-assisted materials design that allows for efficient exploration of materials, going beyond the limited set of known ones, explains Microsoft. Traditional algorithms often fail to distinguish between similar structures when deciding what counts as a truly novel material.

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Analytics Vidhya

JUNE 12, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Agglomerative Clustering using Single Linkage (Source) As we all know, The post Single-Link Hierarchical Clustering Clearly Explained! appeared first on Analytics Vidhya.

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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). Why did it take so long? In a word: scale.

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AI News

FEBRUARY 14, 2025

In 2025, open-source AI solutions will emerge as a dominant force in closing this gap, he explains. With so many examples of algorithmic bias leading to unwanted outputs and humans being, well, humans behavioural psychology will catch up to the AI train, explained Mortensen. The solutions?

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Analytics Vidhya

MARCH 14, 2023

According to a survey or study, AI […] The post What are Explainability AI Techniques? The quality of AI is what matters most and is one of the vital causes of the failure of any business or organization. Why do We Need it? appeared first on Analytics Vidhya.

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AI News

NOVEMBER 28, 2024

Addressing unexpected delays and complications in the development of larger, more powerful language models, these fresh techniques focus on human-like behaviour to teach algorithms to ‘think. OpenAI and other leading AI companies are developing new training techniques to overcome limitations of current methods.

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Unite.AI

MARCH 3, 2025

Imandra is an AI-powered reasoning engine that uses neurosymbolic AI to automate the verification and optimization of complex algorithms, particularly in financial trading and software systems. Can you explain what neurosymbolic AI is and how it differs from traditional AI approaches? The field of AI has (very roughly!)

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IBM Journey to AI blog

APRIL 11, 2023

The new rules, which passed in December 2021 with enforcement , will require organizations that use algorithmic HR tools to conduct a yearly bias audit. This means that processes utilizing algorithmic AI and automation should be carefully scrutinized and tested for impact according to the specific regulations in each state, city, or locality.

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AI News

JANUARY 15, 2025

In a revealing report from Bloomberg , tech giants including Google, OpenAI, and Moonvalley are actively seeking exclusive, unpublished video content from YouTubers and digital content creators to train AI algorithms. The move comes as companies compete to develop increasingly sophisticated AI video generators. The deals come with safeguards.

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Machine Learning Mastery

SEPTEMBER 3, 2024

Since machine learning is also a trending topic that many people want to explore, the […] The post 10 Machine Learning Algorithms Explained Using Real-World Analogies appeared first on MachineLearningMastery.com. I was unable to understand and find their usage in the real world.

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Unite.AI

MAY 6, 2024

In a groundbreaking development , engineers at Northwestern University have created a new AI algorithm that promises to transform the field of smart robotics. Traditional algorithms, designed primarily for disembodied AI, are ill-suited for robotics applications.

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AI News

DECEMBER 10, 2024

For instance, in practical applications, the classification of all kinds of object classes is rarely required, explains Associate Professor Go Irie, who led the research. The method they developed is built upon the Covariance Matrix Adaptation Evolution Strategy (CMA-ES), an evolutionary algorithm designed to optimise solutions step-by-step.

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Unite.AI

JANUARY 1, 2025

A hiring algorithm trained on data from male-dominated industries might unintentionally favour male candidates, excluding qualified women from consideration. Companies like Twitter and Apple have faced public backlash for biased algorithms. AI models can reinforce discrimination when they inherit biases from their training data.

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Flipboard

NOVEMBER 11, 2024

This article explains, through clear guidelines, how to choose the right machine learning (ML) algorithm or model for different types of real-world and business problems.

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Unite.AI

JANUARY 7, 2025

Croptimus monitors crops 24/7 using cameras that collect high-resolution imagery, which is then processed through advanced algorithms to detect pests, diseases, and nutrient deficiencies. Croptimus is more than just a monitoring toolits a decision-making assistant for growers, explains Valeria Kogan, Fermatas Founder and CEO.

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Unite.AI

NOVEMBER 8, 2024

Inspired by a discovery in WiFi sensing, Alex and his team of developers and former CERN physicists introduced AI algorithms for emotional analysis, leading to Wayvee Analytics's founding in May 2023. The team engineered an algorithm that could detect breathing and micro-movements using just Wi-Fi signals, and we patented the technology.

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Flipboard

FEBRUARY 21, 2025

The gait is not biological, but the robot isnt biological, explains Farbod Farshidian , roboticist at the RAI Institute. Farshidian explains that these assumptions make it difficult to develop a useful understanding of what performance limitations actually are. Going backwards is highly unstable, Hutter explains.

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Unite.AI

MARCH 14, 2024

For many institutional investors, the answer is likely to be no – that the potential benefits of AI just aren’t worth the risk associated with a process they aren’t able to understand, much less explain to their boards and clients. But there is a way out of this dilemma.

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IBM Journey to AI blog

AUGUST 9, 2024

Predictive AI blends statistical analysis with machine learning algorithms to find data patterns and forecast future outcomes. These adversarial AI algorithms encourage the model to generate increasingly high-quality outputs. Similarly, random forest algorithms combine the output of multiple decision trees to reach a single result.

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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. They aim to create AI systems that can learn rules from data while maintaining explainable decision-making processes grounded in legal and normative reasoning.

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Unite.AI

SEPTEMBER 12, 2024

In a significant leap forward, researchers at the University of Southern California (USC) have developed a new artificial intelligence algorithm that promises to revolutionize how we decode brain activity. DPAD: A New Approach to Neural Decoding The DPAD algorithm represents a paradigm shift in how we approach neural decoding.

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Flipboard

FEBRUARY 14, 2025

Hemant Madaan, an expert in AI/ML and CEO of JumpGrowth, explores the ethical implications of advanced language models. Artificial intelligence (AI) has become a cornerstone of modern business operations, driving efficiencies and delivering insights across various sectors. However, as AI systems

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Analytics Vidhya

APRIL 4, 2022

Introduction One of the key challenges in Machine Learning Model is the explainability of the ML Model that we are building. As Data scientists, we may understand the algorithm & statistical methods used behind the scene. […]. This article was published as a part of the Data Science Blogathon.

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