AI Weekly

OCTOBER 12, 2023

techspot.com Applied use cases Study employs deep learning to explain extreme events Identifying the underlying cause of extreme events such as floods, heavy downpours or tornados is immensely difficult and can take a concerted effort by scientists over several decades to arrive at feasible physical explanations. "I'll get more," he added.

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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. Advances in attention mechanisms and algorithms are needed to integrate contradictory multimodal inputs.

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IBM Journey to AI blog

JANUARY 25, 2024

Yet many AI creators are currently facing backlash for the biases, inaccuracies and problematic data practices being exposed in their models. These issues require more than a technical, algorithmic or AI-based solution. This holds true in the areas of statistics, science and AI.

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Unite.AI

DECEMBER 27, 2024

Its because the foundational principle of data-centric AI is straightforward: a model is only as good as the data it learns from. No matter how advanced an algorithm is, noisy, biased, or insufficient data can bottleneck its potential. Another promising development is the rise of explainable data pipelines.

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Unite.AI

DECEMBER 13, 2023

Ultimately, staying updated empowers enthusiasts to leverage the full potential of AI and make confident decisions in their professional and personal pursuits. AI-Powered Threat Detection and Response AI takes the lead in making the digital world safer.

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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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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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Aiiot Talk

JULY 7, 2023

AI is today’s most advanced form of predictive maintenance, using algorithms to automate performance and sensor data analysis. Aircraft owners or technicians set up the algorithm with airplane data, including its key systems and typical performance metrics. One of the main risks associated with AI is its black-box nature.

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Pickl AI

JANUARY 12, 2025

Machine learning allows an explainable artificial intelligence system to learn and change to achieve improved performance in highly dynamic and complex settings. How they Intersect in Modern Applications Many of these data-driven and AI-driven approaches have begun further to reinforce each other’s strengths in modern applications.

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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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IBM Journey to AI blog

JULY 6, 2023

Machine learning works on a known problem with tools and techniques, creating algorithms that let a machine learn from data through experience and with minimal human intervention. Deep learning algorithms are neural networks modeled after the human brain. Some people worry that AI and machine learning will eliminate jobs.

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IBM Journey to AI blog

AUGUST 11, 2023

Machine learning (ML), a subset of artificial intelligence (AI), is an important piece of data-driven innovation. Machine learning engineers take massive datasets and use statistical methods to create algorithms that are trained to find patterns and uncover key insights in data mining projects. What is MLOps?

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Unite.AI

JULY 1, 2024

Transparency and Explainability Enhancing transparency and explainability is essential. Techniques such as model interpretability frameworks and Explainable AI (XAI) help auditors understand decision-making processes and identify potential issues.

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NVIDIA

MARCH 1, 2024

They have a simple goal: to enable trust and transparency in AI and support the work of partners, customers and developers. Privacy: Complying With Regulations, Safeguarding Data AI is often described as data hungry. Often, the more data an algorithm is trained on, the more accurate its predictions.

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How to Learn Machine Learning

APRIL 4, 2025

AI and Cybersecurity: Now, AI is a critical tool in cybersecurity, and AI-driven security systems can detect anomalies, predict breaches, and respond to threats in real-time. ML algorithms will analyze vast datasets and identify patterns which indicate potential cyberattacks, and reduce response times and prevent data breaches.

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ODSC - Open Data Science

OCTOBER 24, 2023

Then, how to essentially eliminate training, thus speeding up algorithms by several orders of magnitude? The full details are in my new book “Statistical Optimization for Generative AI and Machine Learning”, available here. Indeed, the whole technique epitomizes explainable AI. I provide a brief overview only.

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Pickl AI

MARCH 31, 2024

Summary: Generative AI isn’t magic, but it learns like one! This powerful technology utilizes deep learning algorithms to analyze massive amounts of data, be it text, images, or code. Through a multi-step process, the AI extracts patterns and relationships within the data. That’s the magic of generative AI.

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IBM Journey to AI blog

SEPTEMBER 20, 2023

They use self-supervised learning algorithms to perform a variety of natural language processing (NLP) tasks in ways that are similar to how humans use language (see Figure 1). Large language models (LLMs) have taken the field of AI by storm. IBM watsonx consists of the following: IBM watsonx.ai

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Unite.AI

JULY 5, 2024

How is generative AI currently being used to enhance healthcare treatments and improve patient outcomes? Generative (Gen) AI offers transformative benefits across the healthcare ecosystem. Implementing algorithms capable of eliminating bias, and continuously retraining AI systems to detect and mitigate biases is key.

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Towards AI

APRIL 2, 2024

This is only clearer with this week’s news of Microsoft and OpenAI planning a >$100bn 5 GW AI data center for 2028. This would be its 5th generation AI training cluster. However, the AI community has also been making a lot of progress in developing capable, smaller, and cheaper models.

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Marktechpost

DECEMBER 11, 2024

The dataset was designed to include a range of complexities, enabling the model to generalize well across tasks. Preference optimization was then employed using Direct Preference Optimization (DPO) and other algorithms to align the models with human preferences. The post LG AI Research Releases EXAONE 3.5:

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How to Learn Machine Learning

JUNE 9, 2024

This technology streamlines the model-building process while simultaneously increasing productivity by determining the best algorithms for specific data sets. It is quite beneficial for organizations looking to capitalize on the potential of AI without making significant investments.

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Pickl AI

DECEMBER 10, 2024

Summary : Data Analytics trends like generative AI, edge computing, and Explainable AI redefine insights and decision-making. Key Takeaways Generative AI simplifies data insights, enabling actionable decision-making and enhancing data storytelling.

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ODSC - Open Data Science

FEBRUARY 25, 2025

At ODSC East 2025 , were excited to present 12 curated tracks designed to equip data professionals, machine learning engineers, and AI practitioners with the tools they need to thrive in this dynamic landscape. This track will explore how AI and machine learning are accelerating breakthroughs in life sciences.

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Pickl AI

JULY 24, 2024

The pivotal moment in AI’s history occurred with the work of Alan Turing in the 1930s and 1940s. Turing proposed the concept of a “universal machine,” capable of simulating any algorithmic process. During this period, optimism about AI’s potential led to substantial funding and research initiatives.

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Marktechpost

JULY 19, 2023

Nowadays, there are hardly any fields that do not make use of AI. For instance, AI is everywhere, from AI agents in voice assistants such as Amazon Echo and Google Home to using machine learning algorithms in predicting protein structure. Is that actually the case, though? Check out the Paper and Stanford Article.

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Viso.ai

DECEMBER 6, 2023

Computer vision (CV) is a rapidly evolving area in artificial intelligence (AI), allowing machines to process complex real-world visual data in different domains like healthcare, transportation, agriculture, and manufacturing. The purpose is to give you an idea of modern computer vision algorithms and applications. Get a demo here.

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ODSC - Open Data Science

OCTOBER 3, 2024

AI Development Lifecycle: Learnings of What Changed with LLMs Noé Achache | Engineering Manager & Generative AI Lead | Sicara Using LLMs to build models and pipelines has made it incredibly easy to build proof of concepts, but much more challenging to evaluate the models. billion customer interactions.

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Pickl AI

DECEMBER 10, 2024

Organisations must implement bias detection tools and fairness auditing mechanisms throughout the AI lifecycle to combat this. For example, using balanced datasets, re-weighting algorithms, and fairness metrics like demographic parity ensures that AI decision-making does not disproportionately impact specific groups.

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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. million in 2024.

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IBM Journey to AI blog

FEBRUARY 9, 2024

2022 was the year that generative artificial intelligence (AI) exploded into the public consciousness, and 2023 was the year it began to take root in the business world. The evolution of generative AI has mirrored that of computers, albeit on a dramatically accelerated timeline.

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