Our Journal Recent Writings
This article explores how LSTM-based neural networks can forecast forex volatility using historical price data and macroeconomic indicators. It highlights model setup, data preprocessing, backtesting strategies, and how traders can apply ML insights to real-world decision-making.
Learn how mining companies use AI and computer vision to analyze ore quality in real time. The post covers CNN model training, spectral imaging, and how automated classification improves sorting accuracy and efficiency in open-pit mines.
This post covers how to build embedded systems for remote environmental sensing using low-power microcontrollers, sleep modes, and energy harvesting. It focuses on durability, efficiency, and deployment in off-grid or rugged Southern African locations.
Explore cryptographic techniques like SPECK and Ascon for securing edge devices in smart factories. The article focuses on protecting data in low-power IoT setups without sacrificing speed or device performance.
This blog outlines how to audit Ethereum smart contracts for flaws using tools like Slither and MythX. It covers common bugs, gas optimization, and security best practices for fintech and DeFi projects in Africa.
This article highlights how to adapt NLP models like BERT for underrepresented languages such as Shona and Chichewa. It explores multilingual transfer learning, data augmentation, and potential use cases in African tech products.
This article explores how AI models, optimized for edge computing, are revolutionizing agriculture in remote areas. It dives into running inference on edge devices for soil moisture prediction, crop disease detection, and smart irrigation. It covers low-latency model deployment, sensor integration, and how this setup improves food security, especially in rural farming communities across Southern Africa with limited internet infrastructure.
This blog explains how reinforcement learning (RL) algorithms can optimize supply chain efficiency—especially for transport, warehousing, and inventory across countries like Zimbabwe, Zambia, and Mozambique. It discusses training agents to minimize delivery delays, balance stock levels, and reduce fuel costs. Readers will learn how to model supply chain environments, define rewards, and apply RL to dynamic, data-scarce African logistics ecosystems.
Explore how blockchain can be used to create tamper-proof, transparent land registries for governments and municipalities in Africa. The article details smart contract structures for recording land transfers, preventing double ownership, and managing disputes. It also explores integration challenges with existing legal systems and how blockchain can boost public trust, reduce corruption, and attract investment through clear property rights.
This post covers building NLP-driven customer service chatbots that understand and respond in African local languages and dialects. It discusses language modeling, training with low-resource datasets, intent detection, and fine-tuning for specific sectors like telecom and banking. It also covers how companies can use these bots to scale support services across culturally and linguistically diverse customer bases in the region.
Learn how to engineer ultra-efficient embedded systems that can run for months in wildlife conservation zones. This blog covers battery chemistry choices, sleep mode scheduling, GPS and LoRaWAN integration, and weatherproof housing. It also explains how to ensure reliability and data integrity in harsh, remote areas, helping researchers track animal movement and environmental changes with minimal human interference.
This article details how machine learning models can predict equipment failures before they happen using sensor data like vibration, temperature, and motor load. It explains training anomaly detection models, integrating with SCADA systems, and the economic impact of reducing unplanned downtime. Tailored to Zimbabwean and Southern African industries, it offers practical insight into deploying AI for smarter, more resilient manufacturing.