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Optimization of Nonlinear Functions via Piecewise Linearization | by Tim Forster | Jan, 2024

Data ScienceJanuary 11, 2024132Views 0Likes 0Comments

Photo by Jon Tyson on UnsplashLet us consider a nonlinear function f(x), where x is a continuous variable. We would like to find the minimum value of this function f(x) by changing our decision variable x. The optimization problem can mathematically be formulated in the following manner: In most cases, the user comes across some…

Mailchimp API: The Gateway to Advanced CRM and Marketing Excellence

UncategorisedJanuary 11, 2024151Views 0Likes 0Comments

Mailchimp as a CRM In the digital marketing world, Mailchimp is renowned for its robust email marketing capabilities and user-friendly interface. It has over 600,000 customers, over 50% of which are based outside the United States, and it is one of the top marketing automation platforms in the market. However, beyond its core features, Mailchimp…

Open-sourcing MuJoCo – Google DeepMind

OpenAIJanuary 10, 2024173Views 0Likes 0Comments

In October 2021, we announced that we acquired the MuJoCo physics simulator, and made it freely available for everyone to support research everywhere. We also committed to developing and maintaining MuJoCo as a free, open-source, community-driven project with best-in-class capabilities. Today, we’re thrilled to report that open sourcing is complete and the entire codebase is…

Deriving a Score to Show Relative Socio-Economic Advantage and Disadvantage of a Geographic Area | by Jin Cui | Dec, 2023

Data ScienceJanuary 10, 2024156Views 0Likes 0Comments

There exist publicly accessible data which describe the socio-economic characteristics of a geographic location. In Australia where I reside, the Government through the Australian Bureau of Statistics (ABS) collects and publishes individual and household data on a regular basis in respect of income, occupation, education, employment and housing at an area level. Some examples of…

Harnessing Power of AI in Microscopy

IoTJanuary 10, 2024183Views 0Likes 0Comments

Artificial intelligence applications in microscopy are transforming how doctors and researchers analyze samples. AI is helping biology professionals overcome common hurdles like lengthy sample analysis, diagnosis delays, poor imaging quality and more. Emerging AI-powered innovations could even make next-gen microscopy more accessible to doctors worldwide. Here’s how AI is transforming and improving microscopy…

Mastering GitHub, Pipedrive, Zoom Integrations in Slack

NanonetsJanuary 10, 2024168Views 0Likes 0Comments

Getting the Most Out of Slack Integrations Team collaboration tools are the linchpin of successful and efficient workflows in organizations today. Among these tools, Slack stands out as a powerhouse for team communication, offering a platform where conversations, file sharing, and tools integrate seamlessly. Users spend about 9 hours logged in on Slack on the…

Are CLIP Models ‘Parroting’ Text in Images? This Paper Explores the Text Spotting Bias in Vision-Language Systems

AI NewsJanuary 10, 2024151Views 0Likes 0Comments

In recent research, a team of researchers has examined CLIP (Contrastive Language-Image Pretraining), which is a famous neural network that effectively acquires visual concepts using natural language supervision. CLIP, which predicts the most relevant text snippet given an image, has helped advance vision-language modeling tasks. Though CLIP’s effectiveness has established itself as a fundamental model…

4 Steps to Become a Generative AI Developer

Data AnalyticsJanuary 10, 2024210Views 0Likes 0Comments

Sam Altman, OpenAI's CEO, presents product usage numbers at the OpenAI Developer Day in October 2023. OpenAI consider three customer segments: developers, businesses, and general users. link: https://www.youtube.com/watch?v=U9mJuUkhUzk&t=120s At the OpenAI Developer Day in October 2023, Sam Altman, OpenAI's CEO, showed a slide on product usage across three different customer…

Emergent Bartering Behaviour in Multi-Agent Reinforcement Learning

OpenAIJanuary 10, 2024188Views 0Likes 0Comments

In our recent paper, we explore how populations of deep reinforcement learning (deep RL) agents can learn microeconomic behaviours, such as production, consumption, and trading of goods. We find that artificial agents learn to make economically rational decisions about production, consumption, and prices, and react appropriately to supply and demand changes. The population converges to…

Curse of Dimensionality: An Intuitive Exploration | by Salih Salih | Dec, 2023

Data ScienceJanuary 10, 2024141Views 0Likes 0Comments

Photo by Mathew Schwartz on UnsplashIn the previous article, we discussed the surprising behavior of data in higher dimensions. We found that volume tends to accumulate in the corners of spaces in a strange way, and we simulated a hypersphere inscribed inside a hypercube to investigate this, observing an interesting decrease in their volume ratio…