Pickl AI

OCTOBER 8, 2024

This blog will explore the concept of XAI, its importance in fostering trust in AI systems, its benefits, challenges, techniques, and real-world applications. What is Explainable AI (XAI)? Explainable AI refers to methods and techniques that enable human users to comprehend and interpret the decisions made by AI systems.

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Unite.AI

OCTOBER 25, 2024

In mortgage requisition intake, AI optimizes efficiency by automating the analysis of requisition data, leading to faster processing times. Fraud detection has become more robust with advanced AI algorithms that help identify and prevent fraudulent activities, thereby safeguarding assets and reducing risks.

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NYU Center for Data Science

JUNE 16, 2023

A PhD candidate in the Machine Learning Group at the University of Cambridge advised by Adrian Weller , Umang will continue to pursue research in trustworthy machine learning, responsible artificial intelligence, and human-machine collaboration at NYU. For these reasons, I am excited to start my academic journey at NYU. By Meryl Phair

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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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Pickl AI

SEPTEMBER 17, 2024

This is where AI steps in, offering advanced capabilities in threat detection, prevention, and response. By leveraging Machine Learning algorithms and predictive analytics, AI-powered cybersecurity solutions can proactively identify and mitigate risks, providing a more robust and adaptive defence against cyber criminals.

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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

OCTOBER 7, 2023

Balancing Ethics and Innovation: An Introduction to the Guiding Principles of Responsible AI Sarah, a seasoned AI developer, found herself at a moral crossroads. One algorithm could maximize efficiency but at the cost of privacy. If you were Sarah, which algorithm would you choose?

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Pickl AI

JULY 14, 2023

The following blog will emphasise on what the future of AI looks like in the next 5 years. Evolution of AI The evolution of Artificial Intelligence (AI) spans several decades and has witnessed significant advancements in theory, algorithms, and applications.

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Pickl AI

AUGUST 1, 2024

Introduction Deep Learning engineers are specialised professionals who design, develop, and implement Deep Learning models and algorithms. Understanding this role is crucial for anyone interested in pursuing a career in AI and Machine Learning.

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The MLOps Blog

JUNE 27, 2023

For example, if your team works on recommender systems or natural language processing applications, you may want an MLOps tool that has built-in algorithms or templates for these use cases. Scale AI combines human annotators and machine learning algorithms to deliver efficient and reliable annotations for your team.

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Unite.AI

NOVEMBER 29, 2023

AI watchdogs employ state-of-the-art technologies, particularly machine learning and deep learning algorithms, to combat the ever-increasing amount of election-related false information. The adaptable nature of these algorithms enhances their proficiency in recognizing and mitigating emerging threats to the integrity of elections.

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Unite.AI

JULY 5, 2024

By leveraging Gen AI, the algorithms analyze genetic data and patient histories to create personalized treatment plans tailored to the individual’s unique genetic makeup and medical history. Gen AI algorithms are enhancing the accuracy of medical imaging as well, improving image quality and assisting in the detection of anomalies.

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