Unite.AI

DECEMBER 19, 2024

Another year, another investment in artificial intelligence (AI). Better Analysis Before Taking the Plunge With more emphasis on improved ROI, businesses will be turning to AI itself to ensure they are spending wisely. The AI-First Era Renews Interest in BPM A new golden age of business process management (BPM) is on the horizon.

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AI News

OCTOBER 8, 2024

As artificial intelligence systems increasingly permeate critical decision-making processes in our everyday lives, the integration of ethical frameworks into AI development is becoming a research priority. She is tackling a fundamental question: How can we imbue AI systems with normative understanding?

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Unite.AI

OCTOBER 20, 2023

AI models in production. Today, seven in 10 companies are experimenting with generative AI, meaning that the number of AI models in production will skyrocket over the coming years. As a result, industry discussions around responsible AI have taken on greater urgency. In 2022, companies had an average of 3.8

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Unite.AI

DECEMBER 27, 2024

Heres the thing no one talks about: the most sophisticated AI model in the world is useless without the right fuel. Data-centric AI flips the traditional script. The future of AI demands both, but it starts with the data. A dataset that captures a wide range of scenarios is essential for robust AI models.

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Unite.AI

APRIL 9, 2024

The adoption of Artificial Intelligence (AI) has increased rapidly across domains such as healthcare, finance, and legal systems. However, this surge in AI usage has raised concerns about transparency and accountability. Composite AI is a cutting-edge approach to holistically tackling complex business problems.

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Marktechpost

OCTOBER 6, 2024

The rapid advancement of generative AI has made image manipulation easier, complicating the detection of tampered content. Don’t Forget to join our 50k+ ML SubReddit Interested in promoting your company, product, service, or event to over 1 Million AI developers and researchers? Let’s collaborate!

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Unite.AI

MARCH 18, 2024

As generative AI technology advances, there's been a significant increase in AI-generated content. This content often fills the gap when data is scarce or diversifies the training material for AI models, sometimes without full recognition of its implications.

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Unite.AI

SEPTEMBER 13, 2023

The remarkable speed at which text-based generative AI tools can complete high-level writing and communication tasks has struck a chord with companies and consumers alike. In this context, explainability refers to the ability to understand any given LLM’s logic pathways.

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IBM Journey to AI blog

OCTOBER 16, 2023

Artificial intelligence (AI) adoption is still in its early stages. As more businesses use AI systems and the technology continues to mature and change, improper use could expose a company to significant financial, operational, regulatory and reputational risks. ” Are foundation models trustworthy?

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AWS Machine Learning Blog

NOVEMBER 15, 2024

The rapid advancement of generative AI promises transformative innovation, yet it also presents significant challenges. Concerns about legal implications, accuracy of AI-generated outputs, data privacy, and broader societal impacts have underscored the importance of responsible AI development.

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Unite.AI

JULY 2, 2024

Artificial intelligence (AI) is revolutionizing industries, streamlining processes, improving decision-making, and unlocking previously unimagined innovations. As we witness AI's rapid evolution, the European Union (EU) has introduced the EU AI Act, which strives to ensure these powerful tools are developed and used responsibly.

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Dlabs.ai

AUGUST 16, 2022

That’s why 37% of companies already use AI , with nine in ten big businesses investing in AI technology. Still, not everyone can appreciate the benefits of AI. One of the major hurdles to AI adoption is that people struggle to understand how AI models work. This is the challenge that explainable AI solves.

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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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Towards AI

OCTOBER 19, 2024

Originally published on Towards AI. Why We’re Demanding Answers from Our Smartest Machines Image generated by Gemini AI Artificial intelligence is making decisions that impact our lives in profound ways, from loan approvals to medical diagnoses. What is Explainability AI (XAI)? Author(s): Paul Ferguson, Ph.D.

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NVIDIA

MARCH 1, 2024

Trustworthy AI initiatives recognize the real-world effects that AI can have on people and society, and aim to channel that power responsibly for positive change. What Is Trustworthy AI? Trustworthy AI is an approach to AI development that prioritizes safety and transparency for those who interact with it.

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Unite.AI

DECEMBER 1, 2023

Alex Ratner is the CEO & Co-Founder of Snorkel AI , a company born out of the Stanford AI lab. Snorkel AI makes AI development fast and practical by transforming manual AI development processes into programmatic solutions. This stands in contrast to—but works hand-in-hand with—model-centric AI.

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Unite.AI

JANUARY 12, 2024

The field of artificial intelligence (AI) has seen tremendous growth in 2023. Generative AI, which focuses on creating realistic content like images, audio, video and text, has been at the forefront of these advancements. Rumored projects like OpenAI's Q* hint at combining conversational AI with reinforcement learning.

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Aiiot Talk

JULY 7, 2023

Aviation professionals can apply AI-powered predictive analytics to improve safety in everything from aircraft design to airport logistics. AI can streamline and automate key safety processes such as design, monitoring, testing and more. AI monitoring reduces the risk of scenarios like this.

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Towards AI

APRIL 2, 2024

Author(s): Towards AI Editorial Team Originally published on Towards AI. 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.

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Mlearning.ai

DECEMBER 31, 2023

Principles of Explainable AI( Source ) Imagine a world where artificial intelligence (AI) not only makes decisions but also explains them as clearly as a human expert. This isn’t a scene from a sci-fi movie; it’s the emerging reality of Explainable AI (XAI). What is Explainable AI?

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ODSC - Open Data Science

MARCH 10, 2025

AI and data science are advancing at a lightning-fast pace with new skills and applications popping up left and right. 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.

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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 models demonstrate exceptional performance and cost-efficiency, achieved through LG AI Research s innovative R&D methodologies. as open source following the success of its predecessor, EXAONE 3.0. The EXAONE 3.5 model scored 70.2.

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Flipboard

JUNE 20, 2023

Understanding AI’s mysterious “opaque box” is paramount to creating explainable AI. This can be simplified by considering that AI, like all other technology, has a supply chain. AI models are also created and delivered via supply chains. What factors does it weigh? How does it weigh those factors?

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ODSC - Open Data Science

FEBRUARY 18, 2025

Imagine a world where an AI lawyer argues a Supreme Court case with unparalleled legal precision, an AI doctor diagnoses rare diseases faster than any human physician, and an AI scientist discovers novel materials for quantum computing. The Current Landscape: AI Agents Are Advancing Rapidly So how did we get here?

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ODSC - Open Data Science

FEBRUARY 25, 2025

As AI continues to advance at an unprecedented pace, the demand for cutting-edge skills and practical knowledge has never been greater. Whether you want to master generative AI, deploy AI agents, or streamline your machine learning pipelines with MLOps, ODSC East 2025 has something foryou.

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ODSC - Open Data Science

OCTOBER 21, 2024

In the rapidly evolving world of AI and machine learning, ensuring ethical and responsible use has become a central concern for developers, organizations, and regulators. Fortunately, there are many tools for ML evaluation and frameworks designed to support responsible AI development and evaluation.

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Towards AI

OCTOBER 7, 2023

Last Updated on October 9, 2023 by Editorial Team Author(s): Lye Jia Jun Originally published on Towards AI. Balancing Ethics and Innovation: An Introduction to the Guiding Principles of Responsible AI Sarah, a seasoned AI developer, found herself at a moral crossroads. The other safeguards personal data but lacks speed.

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ODSC - Open Data Science

SEPTEMBER 26, 2024

The NVIDIA AI Hackathon at ODSC West, Reinforcement Learning for Finance, the Future of Humanoid AI Robotics, and Detecting Anomalies Unleash Innovation at the NVIDIA AI Hackathon at ODSC West 2024 Ready to put your data science skills to the test? Hilpisch In a recent Ai X podcast, Dr. Yves J.

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Pickl AI

APRIL 8, 2024

Summary: AI’s immense potential is undeniable, but its journey riddle with roadblocks. This blog explores 13 major AI blunders, highlighting issues like algorithmic bias, lack of transparency, and job displacement. 13 AI Mistakes That Are Worth Your Attention 1. 13 AI Mistakes That Are Worth Your Attention 1.

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Pickl AI

JANUARY 29, 2024

The collective strength of both forms the groundwork for AI and Data Science, propelling innovation. As we navigate this landscape, the interconnected world of Data Science, Machine Learning, and AI defines the era of 2024, emphasising the importance of these fields in shaping the future. throughout the forecast period.

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Pickl AI

JANUARY 13, 2025

Perfect for newcomers, these books provide practical examples, step-by-step guidance, and real-world applications to build a strong understanding of AI and its transformative potential across industries. Introduction Artificial Intelligence (AI) continues to shape the future, with its market size skyrocketing from $515.31

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AI News

APRIL 25, 2024

As artificial intelligence continues to rapidly advance, ethical concerns around the development and deployment of these world-changing innovations are coming into sharper focus. In an interview ahead of the AI & Big Data Expo North America , Igor Jablokov, CEO and founder of AI company Pryon , addressed these pressing issues head-on.

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Unite.AI

JANUARY 20, 2025

Trust and transparency in AI have undoubtedly become critical to doing business. As AI-related threats escalate, security leaders are increasingly faced with the urgent task of protecting their organizations from external attacks while establishing responsible practices for internal AI usage.

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Unite.AI

JULY 1, 2024

In recent years, the world has witnessed the unprecedented rise of Artificial Intelligence (AI) , which has transformed numerous sectors and reshaped our everyday lives. Among the most transformative advancements are generative models, AI systems capable of creating text, images, music, and more with surprising creativity and accuracy.

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IBM Journey to AI blog

SEPTEMBER 3, 2024

Artificial intelligence (AI) has enormous value but capturing the full benefits of AI means facing and handling its potential pitfalls. Here’s a closer look at 10 dangers of AI and actionable risk management strategies. Bias Humans are innately biased, and the AI we develop can reflect our biases.

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The MLOps Blog

FEBRUARY 27, 2025

Picture this: youve spent months fine-tuning an AI-powered chatbot to provide mental health support. After months of development, you launch it, confident it will make therapy more accessible for those in need. Now think about your work as an AI professional. This is not hypotheticalits a real-life example.

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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.

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