Introduction
The study by Shin et al. (2023) provides valuable insights into lipid membrane remodeling by the micellar aggregation of long-chain unsaturated fatty acids, offering sustainable antimicrobial strategies. However, challenges remain in automating data collection, optimizing experimental tracking, and enhancing the predictive power of these studies. By integrating artificial intelligence (AI) and machine learning (ML), the research process can be significantly improved in terms of efficacy, efficiency, and productivity. Institutionalizing AI/ML into research workflows can enable real-time insights, adaptive experimentation, and data-driven decision-making.
Kickstart Your AI & ML Journey with Course 101
08 January 2025 Written by classMod1Unlock the Future: Why AI & ML Skills Matter Now More Than Ever
The world is changing faster than ever, and at the heart of this transformation are technologies like Artificial Intelligence (AI) and Machine Learning (ML). These fields are no longer confined to tech giants and researchers—they’re becoming tools that every professional, regardless of industry, can leverage to stay ahead. From healthcare to finance, sales, and agriculture, AI and ML are shaping decisions, streamlining operations, and uncovering insights that were once unimaginable.
Seamlessly Driving Impact with AI, ML, and Practical Data Solutions
07 December 2024 Written by classMod1Step into the Community Spotlight as we introduce Thinkmasters, a consulting firm with a focus on delivering meaningful results through Artificial Intelligence (AI) and Machine Learning (ML). Joining an esteemed technology-centric trade association offers an opportunity to subtly highlight how we help organizations uncover the potential of data while keeping our eyes firmly on what matters: creating sustainable, measurable value.
Building Trust in Predictive Analytics: Balancing Data Privacy and Transparency with Machine Learning
24 November 2024 Written by classMod1In today’s fast-paced business environment, data-driven decision-making is no longer a luxury—it’s a necessity. However, businesses often face a critical challenge: how can a third party prove the value of their proprietary data and models without exposing sensitive information? This article explores a robust methodology that balances data privacy with transparency, enabling businesses to gain valuable insights while maintaining trust and confidence.
Update: Project Room4All NUOC Progress
21 November 2024 Written by classMod1Overview:
Project Room4All NUOC is a transformative initiative at the intersection of AI, IoT, and vertical farming. It aims to showcase the potential of sovereign blockchain and web3 technologies in addressing real-world challenges in Southeast Asia, particularly through precision agriculture. With an emphasis on community-driven participation and open-source development, the project serves as both a proof of concept (POC) and a blueprint for sustainable innovation.
Integrating data from multiple raspberry pis into mongoDB for machine learning
05 April 2024 Written by classMod1Hydroponic farming requires precise monitoring and control, often facilitated by IoT devices like Raspberry Pis. Combining data from multiple Pis into a cohesive dataset stored in a database like MongoDB is crucial for effective analysis and machine learning applications.
Temporal Analysis and predictive modeling: Leveraging python tools for time series data analysis
03 April 2024 Written by classMod1Measuring various features such as temperature, humidity, light intensity (E), pH levels, carbon dioxide concentration (CO2), plant height, and plant health at frequent intervals using supervised machine learning, particularly logistic regression, can indeed provide insights into predicting successful lettuce leafy green harvests. However, the accuracy of such predictions may vary depending on several factors, including the quality and quantity of data, feature selection, and model complexity.
Optimal approach towards plant disease (pathogen) detection incoprorating data collection, sensors and machine learning
07 March 2024 Written by classMod1To detect plant diseases efficiently, incorporating data collection, sensors, and machine learning can significantly enhance the detection process. Here's an outline of an optimal approach:
Pilot program baseline: optimizing collaboration between IoT sensors, datalogging, and AI/ML phases/teams
06 February 2024 Written by classMod1The pilot program consists of two critical phases: IoT/sensors/datalogging and AI/ML. To achieve seamless integration, both teams must work collaboratively. The key to success lies in proper design, accurate monitoring, and triggering, with comprehensive datalogging of all relevant data points.
A data-driven approach to vertical farming
15 January 2024 Written by classMod1A Data-Driven Approach to Vertical Farming
In the world of farming, new methods are constantly being explored to meet the increasing demand for food. One promising approach is the use of data-driven techniques in vertical farming, where crops are grown in controlled indoor environments.
We believe that the success of this project hinges on a multidisciplinary approach and welcome collaboration with domain experts and we welcome all to join us playing a vital role in bringing our innovative ideas to life and contributing to the growth of the start-up community in the region.
Tools for managing project timeline
26 December 2023 Written by classMod1There are several excellent open-source project management tools available for managing project timelines, assigning tasks, and collaborating with team members. Here are a few popular options:
An introduction to Artificial Intelligence (AI), Machine Learning (ML) - Part 2
22 December 2023 Written by classMod1The scenario described and discussed in Part1 of this article, where machine learning models are used to predict the success of a harvest in vertical farming based on various environmental and plant-related data, falls under the broader umbrella of Artificial Intelligence (AI).
An introduction to Artificial Intelligence (AI), Machine Learning (ML) - Part 1
22 December 2023 Written by classMod1Our dedication lies in harnessing the possibilities offered by web3 and blockchain technologies within industries on the brink of transformation in this rapidly evolving Digital Age. Currently, our primary emphasis is on forming partnerships with key stakeholders to conceptualize and implement an innovative vertical farming initiative in Southeast Asia.
Since the publication of the previous article, numerous developments have taken place. We have successfully achieved certification as blockchain developers for our Blockchain Project Leads. Additionally, we are delighted to share that we've introduced two new blockchain projects: "hashrepos," featuring an ERC-721 smart contract, and "room4all," incorporating various web3 functionalities.