- Physics - Data Science - Postgraduate Adjunct Lecturer... at Pan-Atlantic University, on data science and NLP - 9 Published Papers on African NLP - 3 Papers under review - Research paper reviewer at top conferences - Founded Tonative, a community that curates African Language Datasets for AI models.show more

In partnership wtih 3 pan-African data science & ML... communities —SisonkeBiotik, Ro’ya, & DS-I Africa— we hosted an Africa-wide Data Science for Health Ideathon, focused on using Google’s open health AI models to tackle real-world health challenges. More →show more

Introducing AI Papers of the Week: We took the... top AI papers of the last 3 years, summarized them, and organized them by topic and week. You can easily explore papers, find related research, and chat with any paper.show more

OpenAI's Deep Research is getting a run for its... money. Deep Lake was just released, and it's a different take on an AI system that can do deep research on your own data. You can use Deep Lake to build AI search with reasoning on your private and public data. (Look at the attached videos to get an idea of how it works.) If you want to research proprietary and sensitive data, Deep Research won't help you because it's limited to public data. Deep Lake, however, will allow you to use your private data. On top of that, Deep Lake supports multi-modal retrieval from the ground up. It uses vision language models for data ingestion and retrieval so that you can connect any data (PDFs, images, videos, structured data, etc.) You can even use mixed-data queries! Deep Lake can search your data from S3, Dropbox, and GCP. It learns from your queries over time, making the results as relevant to your work as possible!show more

I gave one research question to an AI research... agent and let it work for 30 minutes. it came back with a literature review built on 18 papers, every DOI checked, plus 63 ranked papers and a mind map of the whole field. every source traces straight back to the original paper. this is WisPaper. the full run 🧵show more

𝗜𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝗶𝗻𝗴 𝗡𝗴𝗮𝗻𝗼 Let's let AI help us tell African... stories. "Ngano" means "stories" in ChiShona 🇿🇼 and indexes TENS OF THOUSANDS of hours of African speech data. You can filter by country, language, usage, licence, etc, if the data is hosted on HuggingFace -show more

Data for Policy 2024 call for contributions has launched!... Be part of the global conversation on trustworthy governance *with* AI - Full papers benefit from integrated review in dataandpolicy - Deadline 27 Nov All info #dataforpolicy2024show more

Artificial Intelligence (#AI) models that process and interpret visual... data are called large vision models. These models, like large language models, are trained on large amounts of data. #midjourney #dalle #stablediffusion (1/8) 🧵 ⤵️show more

AI needs data to grow. But accessing high-quality datasets... is becoming harder than ever. · Data collection is increasingly centralized in the hands of a few large players. · Platforms are locking content behind expensive APIs and private data deals. · Specialized datasets (medical, legal, code) can cost 20–40× more than general web data. · And while 94% of companies are exploring Gen-AI, only 12% have reliable data channels. The result? A growing data bottleneck for AI development. The future of AI won’t just depend on better models. It will depend on who can access and activate quality data.show more

Write your thesis and academic research papers with the... Publeesh App. Publeesh AI continuously searches for research funding, conferences, travel grants, and journal publication opportunities for your work, even while you sleep.show more

Well well well, that lunatic man screeching “Nazi” at... us when I was with Turning Point UK 🇬🇧 at Sussex University is: Christian Hogsbjerg Senior Lecturer, School of Humanities and Social Science University of Brightonshow more

Let your wearable data "speak" for itself! Introducing SensorLM,... a family of sensor-language foundation models trained on ~60 million hours of data, enabling robust wearable data understanding with natural language. →show more

Since COVID, I recorded a ton of introductory lectures... on data science, and data cleaning/visualization on Excel and R on Youtube. Finally managed to curate the most useful ones for beginners/newcomers and put them up on my website:show more

Tonight at the house: An intimate AI x Physics... Dinner with Prof. Steve Hsu from Manifold steve hsu, Alex Morisse, Alex Morisse, PhD, Jasper Jasper, and Jeremy Nixon - Automating AI Research. We started off with Alex casually explaining the science behind his stealth deeptech start-up on physics textbooks. A thread on the important questions in AI X physics.🧵show more

😍⚠️And it’s out in J Cell Science!! Our review... on the opportunities and challenges of using Machine Learning in Microscopy research 🤖🔬! From using ML to curate data to using ML to give us more KNOWLEDGE about our data (i.e. Interpretation 😉) DOI: (1/n) ⬇️show more

Absolutely incredible data collection intercept on a violent tornado... near Saint Liberty, NE. Near surface data collection with collocated radar and lidar observations. #newx #scienceshow more

Science, on TRAC(k). Pandemic response depends on data held... in many places at once: public health institutes, hospitals, ministries and research centers, each with its own systems and rules. AURORAI is a €6.9 million Horizon Europe project, running from September 2026 to 2030, with 12 organizations in nine European countries and a partner in Australia. It is building Europe's AI toolkit for pandemic preparedness, including for pathogens not yet identified. Its data backbone is the OriginTrail Decentralized Knowledge Graph (DKG). How that works without a central data lake: → Partners publish health and research data as Knowledge Assets, each with a Uniform Asset Locator (UAL) that proves who published it and that it hasn't been tampered with → The data stays where it is; Context Graphs control which regions see which metadata → That verified layer is the first input to AURORAI's decision support system, alongside pathogen models and population and mobility simulations When a model recommends an intervention, the inputs behind it can be traced to their source. In public health, that is what makes a recommendation defensible. Trust the source. More:show more

AI runs on data. Your data. Tech giants scrape... the internet, collect user interactions, and buy datasets to train their models. Now, platforms are charging companies to access the data you created. It doesn't have to be this way. Join the data revolution. Own your data, own your impact.show more

Many thanks to Science and Innovation at Cancer Research... UK for helping me start my lab under a CDF in 2017. Time for Phase II.show more

We've just hit 1M open datasets on the Hugging... Face Hub 🎉 Open models need open data. Today we hit that milestone, together with the most incredible community in AI! 🤗 Onwards to the next million 🚀show more