AI Weekly

OCTOBER 3, 2024

Join the AI conversation and transform your advertising strategy with AI weekly sponsorship aiweekly.co In the News Sam Altman : 'Superintelligent' AI Is Only a Few Thousand Days Away Altman predicts that with AI in the future, "We will be able to do things that would have seemed like magic to our grandparents."

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Unite.AI

DECEMBER 27, 2024

In niche industries such as healthcare and legal tech, specialized AI tools optimize data pipelines to address domain-specific challenges. These tailored solutions ensure datasets meet the unique demands of their respective fields, enhancing the overall impact of AI applications.

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Unite.AI

JANUARY 23, 2025

Most AI training data comes from urban, well-connected regions in North America and Europe and does not sufficiently include rural areas and developing nations. This highlights the economic imperative of building AI systems that effectively reflect and serve the global population. This has severe consequences in critical sectors.

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IBM Journey to AI blog

AUGUST 9, 2024

Many generative AI tools seem to possess the power of prediction. Conversational AI chatbots like ChatGPT can suggest the next verse in a song or poem. Code completion tools like GitHub Copilot can recommend the next few lines of code. But generative AI is not predictive AI.

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Unite.AI

DECEMBER 13, 2023

The introduction of generative AI tools marks a shift in disaster recovery processes. Balancing act: Achieving a balance between effective cybersecurity measures and respecting individual privacy rights, privacy-preserving AI becomes a cornerstone in data's ethical and secure management.

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IBM Journey to AI blog

OCTOBER 16, 2023

Foundation models are widely used for ML tasks like classification and entity extraction, as well as generative AI tasks such as translation, summarization and creating realistic content. The development and use of these models explain the enormous amount of recent AI breakthroughs. Increase trust in AI outcomes.

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Marktechpost

MAY 12, 2024

CorgiAI CorgiAI is a fraud detection and prevention tool designed to increase income and reduce losses due to fraud. It is based on adjustable and explainable AI technology. The post Top AI Tools Enhancing Fraud Detection and Financial Forecasting appeared first on MarkTechPost.

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Unite.AI

SEPTEMBER 23, 2024

AI companies are working with pharmaceutical giants, but their collaboration often reveals mismatched expectations. Pharma companies, known for their cautious, heavily regulated approach, are often reluctant to adopt AI tools at a pace that startup AI companies expect.

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Marktechpost

OCTOBER 15, 2024

XAI, or Explainable AI, brings about a paradigm shift in neural networks that emphasizes the need to explain the decision-making processes of neural networks, which are well-known black boxes. Quanda differs from its contemporaries, like Captum, TransformerLens, Alibi Explain, etc.,

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Marktechpost

MAY 8, 2024

Among the main advancements in AI, seven areas stand out for their potential to revolutionize different sectors: neuromorphic computing, quantum computing for AI, Explainable AI (XAI), AI-augmented design and Creativity, Autonomous Vehicles and Robotics, AI in Cybersecurity and AI for Environmental Sustainability.

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Unite.AI

MARCH 18, 2024

This article seeks to shed light on the impact of AI-generated data on model training and explore potential strategies to mitigate these challenges. Generative AI: Dual Edges of Innovation and Deception The widespread availability of generative AI tools has proven to be both a blessing and a curse.

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Unite.AI

OCTOBER 25, 2024

Can you elaborate on how the Quote AI tool improves quoting processes for businesses? This suite offers a holistic approach to integrating AI, addressing various aspects of business transformation. Explainability & Transparency: The company develops localized and explainable AI systems.

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ODSC - Open Data Science

AUGUST 14, 2023

“I still don’t know what AI is” If you’re like my parents and think I work at ChatGPT, then you may have to learn a little bit more about AI. Funny enough, you can use AI to explain AI. Most AI-based programs have plenty of good tutorials that explain how to use the automation side of things as well.

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Dlabs.ai

JULY 19, 2023

This problem becomes particularly pronounced when employees are unsure why an AI tool makes specific recommendations or decisions and could lead to reluctance to implement the AI’s suggestions. Possible solution: Explainable AI Fortunately, a promising solution exists in the form of Explainable AI.

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Unite.AI

JUNE 24, 2024

Deep learning is great for some applications — large language models are brilliant for summarizing documents, for example — but sometimes a simple regression model is more appropriate and easier to explain. What are some future trends in AI and data science that you are excited about, and how is Astronomer preparing for them?

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Kavita Ganesan

FEBRUARY 28, 2023

EXPLAINABILITY AI explainability is the ability for AI systems to provide reasoning as to why they arrived at a particular decision, prediction, or suggestion. For example, if an AI system predicts that a patient has a high risk of lung cancer, why did it arrive at that prediction ? The physician?

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ODSC - Open Data Science

OCTOBER 24, 2023

Indeed, the whole technique epitomizes explainable AI. Figure 1: Synthetic data (left) versus real (right), Telecom dataset The main hyperparameter vector specifies the number of quantile intervals to use for each feature (one per feature). It is easy to fine-tune, allowing for auto-tuning.

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ODSC - Open Data Science

OCTOBER 21, 2024

But let’s first take a look at some of the tools for ML evaluation that are popular for responsible AI. Microsoft’s AI Tools and Practices Microsoft offers a robust collection of resources dedicated to helping organizations implement responsible AI.

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Marktechpost

AUGUST 24, 2023

r/AIethics Ethics are fundamental in AI. r/AIethics has the latest content on how one can use and create various AI tools ethically. It has a few simple rules to abide by as members. The subreddit has over 2.1 million members. The rules are simple. It has over 3.2k

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ODSC - Open Data Science

NOVEMBER 20, 2024

Companies must consider regulations like the GDPR, CCPA, and other emerging AI governance standards. Yves explained that these regulations can often be challenging to navigate, especially since AI models are inherently complex and operate as “black boxes.”

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ODSC - Open Data Science

SEPTEMBER 26, 2024

Using AI to Detect Anomalies in Robotics at the Edge Integrating AI-driven anomaly detection for edge robotics can transform countless industries by enhancing operational efficiency and improving safety. Where do explainable AI models come into play? Learn more about the lineup here!

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The MLOps Blog

JUNE 27, 2023

This includes features for model explainability, fairness assessment, privacy preservation, and compliance tracking. Integration with ML tools and libraries: Provide you with flexibility and extensibility. Explainability and interpretability: Features that enable you to explain and interpret the decisions made by ML models.

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NVIDIA

MARCH 18, 2025

These initiatives underscore a global reality: AI factories are quickly becoming essential national infrastructure, on par with telecommunications and energy.

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Viso.ai

MARCH 26, 2024

Below, we’ll explore some of the successful outcomes of how these AI tools for finance are revolutionizing the industry. 1: Fraud Detection and Prevention AI-powered fraud detection systems use machine learning algorithms to detect patterns and anomalies that may indicate fraud.

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Viso.ai

JULY 9, 2024

However, the way this works contrasts with discriminative models, which are the types of AI models trained for tasks like regression, classification, clustering, and more. The difference between a generative vs. a discriminative problem explained. Diffusion Models Diffusion models are one of the newest models in generative AI.

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Pickl AI

JULY 24, 2024

The future of AI also holds exciting possibilities, including advancements in general Artificial Intelligence (AGI), which aims to create machines capable of understanding and learning any intellectual task that a human can perform. 2004: Discussions about Generative Adversarial Networks (GANs) begin, signalling the start of a new era in AI.

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Marktechpost

JULY 11, 2023

Recently, a new AI tool has been released, which has even more potential than ChatGPT. Called AutoGPT, this tool performs human-level tasks and uses the capabilities of GPT-4 to develop an AI agent that can function independently without user interference. What is AutoGPT?

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Pickl AI

JANUARY 12, 2025

Introduction Are you struggling to decide between data-driven practices and AI-driven strategies for your business? Besides, there is a balance between the precision of traditional data analysis and the innovative potential of explainable artificial intelligence.

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IBM Journey to AI blog

SEPTEMBER 3, 2024

Look into AI fairness tools, such as IBM’s open source AI Fairness 360 toolkit. Cybersecurity threats Bad actors can exploit AI to launch cyberattacks. Build a solid tech stack and remain open to experimenting with the latest AI tools. Who is responsible when an AI system goes wrong?

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AI Weekly

OCTOBER 12, 2023

pitneybowes.com In The News AMD to acquire AI software startup in effort to catch Nvidia AMD said on Tuesday it plans to buy an artificial intelligence startup called Nod.ai nature.com Ethics The world's first real AI rules are coming soon. nature.com Ethics The world's first real AI rules are coming soon.

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Viso.ai

JANUARY 21, 2025

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. They could be images, videos, or audio edited or generated using AI tools.

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Unite.AI

MARCH 5, 2025

He currently serves as the Chief Executive Officer of Carrington Labs , a leading provider of explainable AI-powered credit risk scoring and lending solutions. Can you explain how Carrington Labs' AI-powered risk scoring system differs from traditional credit scoring methods? anywhere near the model-creation process.

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ODSC - Open Data Science

MARCH 1, 2024

This part of the session equips participants with the ‘blocks’ necessary to construct sophisticated AI models, including those based on machine learning, deep learning, and Explainable AI. It’s an opportunity to see the versatility of KNIME’s AI tools in action, offering a glimpse into the potential of GeoAI applications.

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NVIDIA

JANUARY 10, 2025

AI has made a significant impact in retail and CPG, with improved insights and decision-making (43%) and enhanced employee productivity (42%) being listed as top benefits among survey respondents.

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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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Pickl AI

DECEMBER 10, 2024

Heres a detailed look at how they contribute to trustworthy AI. Trust Trust is the cornerstone of any successful AI system. The systems must be explainable, fair, and aligned with ethical standards for stakeholders to rely on AI. Explainability fosters transparency, helping users trust the systems logic and reasoning.

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IBM Journey to AI blog

FEBRUARY 9, 2024

Prior to the current hype cycle, generative machine learning tools like the “Smart Compose” feature rolled out by Google in 2018 weren’t heralded as a paradigm shift, despite being harbingers of today’s text generating services.

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