Bamundaga Aloyzius Lubowa (@bamundagaa) 's Twitter Profile
Bamundaga Aloyzius Lubowa

@bamundagaa

Robot learning. Ugandan🇺🇬.
Hardware Lead @Ocular_Project.
B.Eng. in Mechatronics and Biomedical engineer @AI_HealthLabMak.
MSc. Comp Scie student @MakCocis

ID: 1347132688336084993

calendar_today07-01-2021 10:47:38

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Ministry of ICT&NG (@moict_ug) 's Twitter Profile Photo

The AI in Health Africa Conference brings together diverse stakeholders passionate about leveraging AI to address healthcare challenges. #AIinHealthAfrica

The AI in Health Africa Conference brings together diverse stakeholders passionate about leveraging AI to address healthcare challenges.
#AIinHealthAfrica
Makerere AI Health Lab (@ai_healthlabmak) 's Twitter Profile Photo

#TBT We were pleased to host representatives from the UPDF Joint Medical Services last week. We had the opportunity to showcase our work in disease diagnosis and discuss its potential to support national-scale disease surveillance efforts.

#TBT
We were pleased to host representatives from the UPDF Joint Medical Services last week.

We had the opportunity to showcase our work in disease diagnosis and discuss its potential to support national-scale disease surveillance efforts.
Makerere AI Health Lab (@ai_healthlabmak) 's Twitter Profile Photo

#FBF to the inaugural AI in Health Africa Conference! A huge thank you to our incredible host partners, funders, and all the inspiring participants who made this first gathering a resounding success. We're energized by the rich conversations and collaborations that emerged, and

Makerere AI Health Lab (@ai_healthlabmak) 's Twitter Profile Photo

Excited to share our work featured in Devex! We're using computer vision to empower healthcare workers in rural Uganda. Our AI-powered tool assists lab technicians with disease diagnosis, improving efficiency and access to quality care. A big thanks to Amy Fallon for covering

Adam Rodman (@adamrodmanmd) 's Twitter Profile Photo

This chart is the one that really freaks me out. These are "no right answer" management cases designed by 25 different specialists to be as difficult as possible. Humans appropriately struggled. But o1 – you don't need statistics to see how well it performed.

This chart is the one that really freaks me out.

These are "no right answer" management cases designed by 25 different specialists to be as difficult as possible.

Humans appropriately struggled. But o1 – you don't need statistics to see how well it performed.
Jorge Bravo (@bravo_abad) 's Twitter Profile Photo

Unlocking the 3D structures of RNA with machine learning and AFM It has long been understood that RNAs—molecules essential for converting genetic instructions into functional components of life—adopt diverse and often transient shapes. These structural variations are critical to

Unlocking the 3D structures of RNA with machine learning and AFM

It has long been understood that RNAs—molecules essential for converting genetic instructions into functional components of life—adopt diverse and often transient shapes. These structural variations are critical to
TU München (@tu_muenchen) 's Twitter Profile Photo

To train #neuralnetworks more efficiently and reduce #energyconsumption, researchers developed a method that directly calculates parameters based on probabilities, rather than using an iterative approach: go.tum.de/972782 #AI #LLMs #MachineLearning 📷V.Hohenegger / LRZ

Ocular (@ocular_project) 's Twitter Profile Photo

Our Research Scientist Jeremy Tusubira shares how our tool promises to support disease surveillance by leveraging AI to track disease outbreaks, analyze trends, and provide insights for public health decision-making. Full interview here-youtu.be/gwa0UV9zHlg?fe…

Bamundaga Aloyzius Lubowa (@bamundagaa) 's Twitter Profile Photo

Gain a niche this new week as you get well versed with Automated disease surveillance leveraging Edge ML optimisation for a low resource application in a brief by Jeremy Tusubira under Ocular at the Makerere AI Health Lab.

Tianyu Pang (@tianyupang1) 's Twitter Profile Photo

🚀Visual Reasoning with Data Augmentation 🪇Simply using noisy images during RL rollouts can significantly boost visual reasoning performance Paper: arxiv.org/pdf/2504.13055

🚀Visual Reasoning with Data Augmentation

🪇Simply using noisy images during RL rollouts can significantly boost visual reasoning performance

Paper: arxiv.org/pdf/2504.13055
Dimitri Bertsekas (@dbertsekas) 's Twitter Profile Photo

I am pleased to share the full set of videolectures, slides, textbook, and other supporting material of the 7th offering of my Reinforcement Learning class at ASU, which was completed two days ago; check web.mit.edu/dimitrib/www/R…

Timothy Kalyegira (@timkalyegira) 's Twitter Profile Photo

This new AI-driven technology era could, at last, solve a problem that governments are grappling with: High unemployment. In some countries, production of data and content to feed AI systems will overtake traditional export cash crops like coffee, tea, and cocoa.

Sida Peng (@pengsida) 's Twitter Profile Photo

Excited to see the great interest in our #CVPR2025 work FreeTimeGS! For the first time, we have achieved the ​​browser-interactive 4DGS demo​​. Project Page: zju3dv.github.io/freetimegs/ Interactive Demo: 4dv.ai/viewer/salmon_…

Ocular (@ocular_project) 's Twitter Profile Photo

In her latest research, Grancia Mugalula highlights AI as key to achieving Universal Health Coverage in Uganda tackling gaps like rural access. She cites our work as a promising example of AI's impact. Proud to be part of this journey 🔗-equityhealthj.biomedcentral.com/articles/10.11…

In her latest research,  Grancia Mugalula highlights AI as key to achieving Universal Health Coverage in Uganda tackling gaps like rural access. 

She cites our work as a promising example of AI's impact. Proud to be part of this journey

🔗-equityhealthj.biomedcentral.com/articles/10.11…
Sam Altman (@sama) 's Twitter Profile Photo

gpt-oss is a big deal; it is a state-of-the-art open-weights reasoning model, with strong real-world performance comparable to o4-mini, that you can run locally on your own computer (or phone with the smaller size). We believe this is the best and most usable open model in the