Towards AI

NOVEMBER 8, 2024

Author(s): Tejashree_Ganesan Originally published on Towards AI. Automating Words: How GRUs Power the Future of Text Generation Isn’t it incredible how far language technology has come? Natural Language Processing, or NLP, used to be about just getting computers to follow basic commands.

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Unite.AI

OCTOBER 4, 2024

AI-driven cybersecurity tools can conduct both dynamic and static analyses, offering several key advantages: Improving Accuracy: AI significantly improves the accuracy and speed of vulnerability detection. AI can quickly and efficiently analyze vast data volumes using algorithms and machine learning.

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Unite.AI

DECEMBER 12, 2024

With regular updates to their algorithms, staying relevant and competitive has become more challenging. SearchGPT is bringing a new perspective to AI-powered marketing tools. It uses advanced Natural Language Processing (NLP) to understand and respond to user queries accurately.

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Unite.AI

JUNE 11, 2024

AI’s unmatched speed and versatility make it one of the best solutions. Forensic analysts can use AI in several ways. They can use machine learning (ML), natural language processing (NLP) and generative models for pattern recognition, predictive analysis, information seeking, or collaborative brainstorming.

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IBM Journey to AI blog

MAY 17, 2024

A full one-third of consumers found their early customer support and chatbot experiences that use natural language processing (NLP) so disappointing that they didn’t want to engage with the technology again. And  The applications of AI in commerce are vast and varied. . 

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Unite.AI

NOVEMBER 20, 2024

It's an AI-driven platform that transforms long-form videos into engaging short clips optimized for social media platforms like TikTok, Instagram, and YouTube Shorts. Like GetMunch, Klap uses AI automation to simplify video editing and produce professional-quality clips effortlessly. Is Munch AI worth it? Read my Vidyo.ai

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ODSC - Open Data Science

SEPTEMBER 19, 2024

Julie Wall of the University of West London, we discuss two big topics in generative AI: deepfakes and automated prompted engineering.

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Pickl AI

JANUARY 29, 2024

Data Science extracts insights, while Machine Learning focuses on self-learning algorithms. The collective strength of both forms the groundwork for AI and Data Science, propelling innovation. Key takeaways Data Science lays the groundwork for Machine Learning, providing curated datasets for ML algorithms to learn and make predictions.

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Robot Writers AI

JANUARY 14, 2024

*Automated Newsroom-in-a-Box: Humans Optional: Media tech veterans from southern California are readying release of an AI tool that can continuously churn-out automatically generated news — sans human oversight. Observes Jeffrey S.

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Robot Writers AI

MAY 28, 2023

Humans Optional Media tech veterans from southern California are readying release of an AI tool that can continuously churn-out automatically generated news — sans human oversight. #ad ” Ideally, HeyWire envisions users of WELLS employing human editors to review every story produced by the AI tool before it hits the Web.

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Pickl AI

SEPTEMBER 25, 2024

Medical Image Analysis Deep Learning algorithms analyse medical images such as X-rays, MRIs, and CT scans to detect anomalies like tumours or fractures. Algorithmic Trading AI-driven trading systems use Deep Learning to analyse market trends and execute trades at optimal times.

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Pickl AI

NOVEMBER 5, 2024

This article explores the definitions of Data Science and AI, their current applications, how they are shaping the future, challenges they present, future trends, and the skills required for careers in these fields. AI automates processes, reducing human error and operational costs.

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Pickl AI

DECEMBER 16, 2024

Summary: AI in Time Series Forecasting revolutionizes predictive analytics by leveraging advanced algorithms to identify patterns and trends in temporal data. By automating complex forecasting processes, AI significantly improves accuracy and efficiency in various applications.

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How to Learn Machine Learning

DECEMBER 2, 2022

With AI-powered supply chain management systems, there is a 20-50% reduction in errors, a 65% reduction in shortages and lost sales, a 5-10% saving in storage costs, and a 25-40% saving in administrative costs. Retail stores can select the level of AI automation they want.

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Robot Writers AI

JULY 2, 2023

*Automated Newsroom-in-a-Box: Humans Optional: Media tech veterans from southern California are readying release of an AI tool that can continuously churn-out automatically generated news — sans human oversight. Observes Jeffrey S.

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Unite.AI

NOVEMBER 28, 2024

This exponential growth made increasingly complex AI tasks feasible, allowing machines to push the boundaries of what was previously possible. 1980s – The Rise of Machine Learning The 1980s introduced significant advances in machine learning , enabling AI systems to learn and make decisions from data.

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Unite.AI

OCTOBER 8, 2024

AI also assists in forecasting timelines, reducing project delays, and providing data-driven insights that help team leaders make more informed decisions. Furthermore, AI’s natural language processing (NLP) capabilities enable more effective communication between technical and non-technical team members.

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NVIDIA

DECEMBER 5, 2024

Rapid advances in AI are making image and video outputs much more photorealistic, while AI-generated voices are losing that robotic feel. These advancements will be driven by the refinement of algorithms and datasets and enterprises’ acknowledgment that AI needs a face and a voice to matter to 8 billion people.

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Marktechpost

NOVEMBER 4, 2024

PyTorch The deep learning framework PyTorch is well-known for its adaptability and broad support for applications like computer vision, reinforcement learning, and natural language processing. Deep learning practitioners choose it because of its large community and libraries.

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Pickl AI

DECEMBER 17, 2024

This includes learning, reasoning, problem-solving, perception, and language understanding. However, AI is not a single entity; it encompasses various technologies, including Machine Learning (ML), Natural Language Processing (NLP), and robotics. Reality AI does not possess consciousness or emotions.

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