B. Dillmann

SIncere simpathy for Nicholas Kyalo Makonge's familly, a boda driver (like the one in the photo) who passed away last Friday due to poor water drainage management in Kibera (Nairobi)

Probably the best NMR instrumentation project in Africa, congratulations #nmrteam

Open access, In Vivo Imaging With a Low-Cost MRI Scanner and Cloud Data Processing in Low-Resource Settings, low-field 46-mT Halbach MRI scanner built and operated at the Mbarara University of Science and Technology (Uganda) …iencejournals.onlinelibrary.wiley.com/doi/10.1002/nb… #NMRchat #MRI 🧲

@Vetiver_King Where are you based ?

VETIVER GRASS BULBS in containers OF (SOS ORGANIC FERTILIZER. COM) hundreds of thousands ready for delivery 16/4/2026

Atending the chair at Junia junia.com/en/accueil/eve…

Most engineers have seen this formula. P(A|B) = P(B|A) × P(A) / P(B) Almost none can explain what it actually does. Here's Bayes' Theorem in plain English, and where it's hiding inside systems you use every day. The core idea in one sentence: Bayes' Theorem updates your belief about something after seeing new evidence. That's it. Four terms: Prior → what you believed before the evidence Likelihood → how probable the evidence is, given your hypothesis Evidence → how common the evidence is overall Posterior → your updated belief after seeing the evidence A concrete example: Say 40% of all emails are spam (your prior). You see a new email containing the word "lottery." 10% of spam emails contain "lottery." Only 1% of legitimate emails do. Plug into Bayes: P(spam | "lottery") = (0.10 × 0.40) / P("lottery") ≈ 87% The word "lottery" updated your belief from 40% → 87%. That's Bayes in action. Prior belief + new evidence = updated belief. Where it lives in AI: 1/ Spam filters The Naive Bayes classifier, the algorithm behind most spam filters - applies this exact calculation word by word across an entire email. Each word shifts the probability up or down. It's called "naive" because it assumes each word is independent of the others, which isn't realistic, but works remarkably well in practice. 2/ Medical diagnosis AI A patient has symptom X. What's the probability of disease Y? Bayes updates the base rate (how common the disease is) with the likelihood of seeing that symptom in patients who have it. Same formula, different domain. 3/ Your LLM's uncertainty Modern language models don't just predict the next token, they assign a probability to every possible token. The sampling process (temperature, top-p) is directly working with those probability distributions. Bayesian reasoning is embedded in every response your model generates. The insight most engineers miss: Bayes doesn't give you certainty. It gives you a rational way to update uncertainty. That's exactly why it's foundational to AI - real-world systems are never certain. They're always working with incomplete, noisy, probabilistic information. Every model that learns from data is, at its core, doing some version of this: Start with a belief. See evidence. Update the belief. That's Bayes. That's machine learning.

The Asian Century now makes room for the African Century.

#EnergyTransition is accelerating, and #innovation in #LiquidGas is key. #GTC2026 will spotlight technologies advancing production, efficiency, safety, and new applications across #LPG and renewable #DME. Submit your work and help shape the future of the industry at #LiquidGasWeek 2026/Istanbul liquidgasweek.com/global-technol…

𝗛𝗢𝗪 𝗧𝗢 𝗠𝗔𝗞𝗘 𝗔𝗡 𝗘𝗟𝗘𝗩𝗔𝗧𝗜𝗢𝗡 + 𝗛𝗜𝗟𝗟𝗦𝗛𝗔𝗗𝗘 𝗠𝗔𝗣 𝗪𝗜𝗧𝗛 𝗣𝗥𝗢𝗙𝗜𝗟𝗘𝗦 𝗜𝗡 𝗤𝗚𝗜𝗦 🪡🧵

Every time Nairobi floods, the blame goes to “blocked drains.” But look at the hydrology map. Entire estates sit on natural drainage paths and floodplains. The uncomfortable truth: Some parts of Nairobi were never meant to be built on.

An example of "kidogo" mentality !

For millions of #women around the world, #LPG does more than fuel homes, it creates time, #safety, and possibility. With LPG, women gain: ✨Faster cooking with instant, controllable heat ✨Less time spent collecting traditional fuels ✨Cleaner indoor air and healthier families ✨Reliable energy ✨More time for education, work, and entrepreneurship This #InternationalWomensDay, we recognise that access to clean, reliable energy is not just a utility, it is an enabler of economic and social progress. Because when women gain time and safety, communities gain strength 💜 That is the power of #GiveToGain. #IWD2026 #LiquidGas #WINLPG #WomenInEnergy #GenderEquality #WomenEmpowerment

@MetreSalomon @tsoding @__endif Salut @MetreSalomon est ce que tu penses encore à Nairobi ?

My cat is not interested in C @tsoding

Qatar LNG Shutdown After Iran Drone Attack | gCaptain share.google/OLC5W49srrPxP2…

The basics or electrical safety goes through "Look off, Try Out, and Test Out" #electric procedures

Graduations marked a transformative step for the African energy sector, demonstrating that 'Zero Harm' is not just a slogan but an operational reality built on competence. By rigorously training local technicians to international safety standards.ilabafrica.strathmore.edu/celebrating-el…

My research is available on @ResearchGate: researchgate.net/publication/38…

Effects of UV on polymers 1/n

🌍 La Réunion just completed its first island-wide @Gaulix_mesh network test using Meshtastic + LoRa! 🚁 Flying node reached >10 km 📡 Ground record: 14.2 km More info：wiki.heltec.org/news/building-… #LoRa #Heltec #Meshtastic #IoT