Today is the day! Microsoft AI Tour Johannesburg! 🎉🎉 Going to be EPIC!!! 😎 Hope to see all the developers today! 😍 #MicrosoftAITour #MicrosoftAITourSouthAfrica #MicrosoftAI #AITourJHB #ai .NET Developers @MicrosoftSA #community #mvpbuzz

🎉 Heureux de contribuer à cette étude : « Faisabilité et acceptabilité d’un outil numérique pour soutenir le dépistage communautaire du COVID-19 et d’autres affections médicales prioritaires dans les communautés rurales et périurbaines en Guinée ». academic.oup.com/oodh/articl…

🎉 Our team has been hard at work, and we're excited to share our new video! Dive into the future of workflow automation. Join OpenFn at openfn.org to start your digital transformation journey today! #workflowautomation #dataintegration #interoperability #opensource

Cette semaine, en tant que GPSDD Data Research Fellow, j'ai assisté à la conférence « Drones, IA et SIG » à Cape Town avec SAFL, WeRobotics et Esri SA. La tech n’est plus un frein, mais l’engagement politique et des cadres clairs sont essentiels.#DisasterManagement #Geospatial

Attending to GPSDrones, AI and GIS in Disaster Management Conference and Workshop.

AWS Summit Johannesburg 2024

KAN: Kolmogorov–Arnold Networks is a really elegant paper. It's refreshing to see that things worked by design rather than by accident in ML. I made a small KAN experiment comparing it to MLP and spline fitting. (notebook in comments!)

Bioinformatics skills-up journey. Fascinating world, but a bit tricky as a computer scientist by background with just a sprinkle of biology knowledge. datacamp.com/completed/state… via @DataCamp

I just completed Introduction to Bioconductor in R by DataCamp #Bioinformatics #Genomics #Bioconductor #R datacamp.com/completed/state… via @DataCamp

DATA AND AI COMMUNITY DAY JOBURG

How to choose the right model for a new LLM-based application or project. 👇 Dive into the diverse array of available models, uncovering the key capabilities to consider when choosing the right model for your project. 👉 ow.ly/UC7R50R9NjA

I just completed Developing Large Language Models by DataCamp datacamp.com/completed/state… via @DataCamp

At ~5000 tons, Starship is the largest flying object ever made

📢Final call for participation: Oxford Machine Learning Summer School (#OxML2024) ⌛️ OxML 2024 offers three courses this year: – MLx Health Bio – MLx Representation Learning Generative AI – MLx Fundamentals 💡Key Highlights: - OxML will take place at the Oxford Mathematical Institute & online. - OxML's world-renowned speakers are from leading ML research groups - Successful participants will Receive CPD (continuing professional development) accredited certificate of participation - Target audience : PhD students with a good technical background whose research topics are related to ML, plus researchers and engineers in both academia and industry with advanced levels of technical knowledge. - All applicants are subject to a selection process - Hosted by @GlobalGoalsAI, in collaboration with @CIFAR_News, & the @UniofOxford's Deep Medicine program. Sponsors: @GoogleDeepMind and @GRESEARCHjobs @oiioxford, @oxmartinschool, @OxUniMaths,@mmbronstein, @ProfData,@tdietterich, @ArthurGretton, @OxManInst,@VictoriaLinML, @PascalMettes,@ermgrant, @AlisonNoble_OU, @OxfordTVG,@MihaelaVDS,@xrysoflhs,@cornell_tech,@jun90cheng,@monalinejad,@rezakhorshidi,@yalidux, @theopapamarkou, @jzl86, @tdietterich, @rahulgk, @kunkzhang, @chijinML, @benevolent_ai, @kazemr #deeplearning #MachineLearning, #AI #AI4GG #SDGs #Biotech #Bioinformatics, #Genomics, #drugdiscovery, #OxML, #computerscience, #LLMs, #GenerativeAI #ArtificialIntelligence

Gemini’s reasoning capabilities mean it can understand more about a user’s intent, and use tools to generate bespoke user experiences that go beyond chat interfaces. Here’s what that looks like in action. ↓ #GeminiAI

Along with text, images, video and code, Gemini is able to process raw audio signal end-to-end. 🔊 It can listen to and understand speech, making it not only useful for transcription but a model that has a much more nuanced perception of its environment. ↓

A common problem faced by researchers is finding and using information from scientific papers. 🔍 Gemini's capabilities mean it can accurately uncover knowledge within thousands of files including dense text & complex images. How could this help deliver breakthroughs faster? ↓

I’m very excited to share our work on Gemini today! Gemini is a family of multimodal models that demonstrate really strong capabilities across the image, audio, video, and text domains. Our most-capable model, Gemini Ultra, advances the state of the art in 30 of 32 benchmarks, including 10 of 12 popular text and reasoning benchmarks, 9 of 9 image understanding benchmarks, 6 of 6 video understanding benchmarks, and 5 of 5 speech recognition and speech translation benchmarks. Gemini Ultra is the first model to achieve human-expert performance on MMLU across 57 subjects with a score above 90%. It also achieves a new state-of-the-art score of 62.4% on the new MMMU multimodal reasoning benchmark, outperforming the previous best model by more than 5 percentage points. Gemini was built by an awesome team of people from @GoogleDeepMind, @GoogleResearch, and elsewhere at @Google, and is one of the largest science and engineering efforts we’ve ever undertaken. As one of the two overall technical leads of the Gemini effort, along with my colleague @OriolVinyalsML, I am incredibly proud of the whole team, and we’re so excited to be sharing our work with you today! There’s quite a lot of different material about Gemini available, starting with: Main blog post: blog.google/technology/ai/go… 60-page technical report authored by th Gemini Team: deepmind.google/gemini/gemin… In this thread, I’ll walk you through some of the highlights.