Unite.AI

MARCH 18, 2025

Becoming CEO of Bright Data in 2018 gave me an opportunity to help shape how AI researchers and businesses go about sourcing and utilizing public web data. What are the key challenges AI teams face in sourcing large-scale public web data, and how does Bright Data address them?

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Marktechpost

JULY 6, 2023

This is where Interpretable (IAI) and Explainable (XAI) Artificial Intelligence techniques come into play, and the need to understand their differences become more apparent. On the other hand, explainable AI models are very complicated deep learning models that are too complex for humans to understand without the aid of additional methods.

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Unite.AI

AUGUST 13, 2024

FAMGA (Facebook, Apple, Microsoft, Google, Amazon) has invested $59 billion in AI research. All this will contribute to the development and adoption of responsible and explainable AI. Stay ahead of the curve in the ever-evolving world of artificial intelligence by visiting Unite.ai.

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Marktechpost

NOVEMBER 30, 2023

Researchers from Lund University and Halmstad University conducted a review on explainable AI in poverty estimation through satellite imagery and deep machine learning. The review underscores the significance of explainability for wider dissemination and acceptance within the development community.

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AI Weekly

JUNE 1, 2023

biomedcentral.com Artificial intelligence propels powertrain development In his book, Powertrain Development with Artificial Intelligence, Dr Aras Mirfendreski explains AI concepts and clarifies their use with powertrain applications. You can also subscribe via email.

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Marktechpost

AUGUST 13, 2024

However, the challenge lies in integrating and explaining multimodal data from various sources, such as sensors and images. AI models are often sensitive to small changes, necessitating a focus on trustworthy AI that emphasizes explainability and robustness.

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Marktechpost

SEPTEMBER 11, 2024

Explainable AI (XAI) has emerged as a critical field, focusing on providing interpretable insights into machine learning model decisions. Self-explaining models, utilizing techniques such as backpropagation-based, model distillation, and prototype-based approaches, aim to elucidate decision-making processes.

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Marktechpost

JUNE 4, 2024

An emerging area of study called Explainable AI (XAI) has arisen to shed light on how DNNs make decisions in a way that humans can comprehend. Labeling neurons using notions humans can understand in prose is a common way to explain how a network’s latent representations work. Check out the Paper.

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Marktechpost

DECEMBER 11, 2024

LG AI Research has released bilingual models expertizing in English and Korean based on EXAONE 3.5 The research team has expanded the EXAONE 3.5 models demonstrate exceptional performance and cost-efficiency, achieved through LG AI Research s innovative R&D methodologies. The EXAONE 3.5 model scored 70.2.

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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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Towards AI

MAY 6, 2024

Part 2 will discuss model explainability and how concepts borrowed from game theory, like Shapley values, will help us better understand the predictions of our model. Model Explainability Our model can make predictions by feeding into it the features. This is where model explainability comes into picture. Let’s jump in!

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Towards AI

APRIL 2, 2024

What happened this week in AI by Louie The ongoing race between open and closed-source AI has been a key theme of debate for some time, as has the increasing concentration of AI research and investment into transformer-based models such as LLMs. You can also find the notebook used in the blog.

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Marktechpost

JULY 19, 2023

Researchers have also shown that explainable AI, which is when an AI model explains at each step why it took a certain decision instead of just providing predictions, does not reduce this problem of AI overreliance. All Credit For This Research Goes To the Researchers on This Project.

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ODSC - Open Data Science

FEBRUARY 18, 2025

Recent breakthroughs include OpenAIs GPT models, Google DeepMinds AlphaFold for protein folding, and AI-powered robotic assistants in industrial automation. These innovations enable AI to transition from tool-like applications to fully autonomous problem-solvers.

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Pickl AI

SEPTEMBER 3, 2024

Explainable AI As ANNs are increasingly used in critical applications, such as healthcare and finance, the need for transparency and interpretability has become paramount. They often work in academic or industrial research settings, contributing to advancements in the field.

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Pickl AI

JANUARY 13, 2025

Key Features: Comprehensive coverage of AI fundamentals and advanced topics. Explains search algorithms and game theory. Using simple language, it explains how to perform data analysis and pattern recognition with Python and R. Explains real-world applications like fraud detection. Explains big datas role in AI.

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ODSC - Open Data Science

FEBRUARY 25, 2025

Whats Next in AI TrackExplore the Cutting-Edge Stay ahead of the curve with insights into the future of AI. This track brings together industry pioneers and leading researchers to showcase the breakthroughs shaping tomorrows AI landscape.

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Pickl AI

JULY 24, 2024

Early AI programs, such as the Logic Theorist developed by Allen Newell and Herbert A. The development of LISP by John McCarthy became the programming language of choice for AI research, enabling the creation of more sophisticated algorithms. What Caused the AI Winter? How is AI Used in Everyday Life?

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Pickl AI

JULY 14, 2023

Significantly, McCarthy coined the term “Artificial Intelligence” and organized the Dartmouth Conference in 1956, which is considered the birth of AI as a field. Knowledge-Based Systems and Expert Systems (1960s-1970s): During this period, AI researchers focused on developing rule-based systems and expert systems.

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The MLOps Blog

FEBRUARY 27, 2025

The challenge for AI researchers and engineers lies in separating desirable biases from harmful algorithmic biases that perpetuate social biases or inequity. A StereoSet prompt might be: “The software engineer was explaining the algorithm. How to integrate transparency, accountability, and explainability?

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ODSC - Open Data Science

OCTOBER 10, 2024

Medical Breakthrough: AI-Powered Brain Implant Helps Paralyzed Man Regain Movement and Sensation A new AI-powered brain implant is helping a paralyzed man regain movement and sensation, offering new hope for those suffering from paralysis. OpenAI Secures $6.6

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ODSC - Open Data Science

OCTOBER 3, 2024

Beyond Interpretability: An Interdisciplinary Approach to Communicate Machine Learning Outcomes Merve Alanyali, PhD | Head of Data Science Research and Academic Partnerships | Allianz Personal Explainable AI (XAI) is one of the hottest topics among AI researchers and practitioners.

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Snorkel AI

MARCH 19, 2024

Google has established itself as a dominant force in the realm of AI, consistently pushing the boundaries of AI research and innovation. Vertex AI provides a suite of tools and services that cater to the entire AI lifecycle, from data preparation to model deployment and monitoring.

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Snorkel AI

MARCH 19, 2024

Google has established itself as a dominant force in the realm of AI, consistently pushing the boundaries of AI research and innovation. Vertex AI provides a suite of tools and services that cater to the entire AI lifecycle, from data preparation to model deployment and monitoring.

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Marktechpost

JULY 11, 2023

Don’t forget to join our 19k+ ML SubReddit , Discord Channel , and Email Newsletter , where we share the latest AI research news, cool AI projects, and more.

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AI Weekly

MARCH 20, 2025

Register for the webinar metronome.com In The News Arcade raises $12M from Perplexity co-founders new fund to make AI agents less awful Arcade, an AI agent infrastructure startup founded by former Okta exec Alex Salazar and former Redis engineer Sam Partee, has raised $12 million from Laude Ventures.

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IBM Journey to AI blog

SEPTEMBER 3, 2024

Strong AI or artificial general intelligence, is a theoretical machine with human-like intelligence, while artificial superintelligence refers to a hypothetical advanced AI system that transcends human intelligence. Build a solid tech stack and remain open to experimenting with the latest AI tools.

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AI Weekly

AUGUST 22, 2024

technologyreview.com Build your own AI-powered robot Hugging Face, the open-source AI powerhouse, has taken a significant step towards democratizing low-cost robotics with the release of a detailed tutorial that guides developers through the process of building and training their own AI-powered robots. pdf, Word, etc.)

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The MLOps Blog

AUGUST 11, 2023

But some of these queries are still recurrent and haven’t been explained well. The concept of Explainable AI revolves around developing models that offer inference results and a form of explanation detailing the process behind the prediction. How should the machine learning pipeline operate?

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AI Impacts

DECEMBER 22, 2022

I don’t have a strong view on whether anything in the space of ‘try to slow down some AI research’ should be done. I agree with lc that there seems to have been a quasi-taboo on the topic, which perhaps explains a lot of the non-discussion, though still calls for its own explanation.

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