Mixed Integer Programming is an NP-hard optimisation problem arising in planning, logistics, resource allocation, etc. Presenting a solver with neural heuristics that learns to adapt to the problem domain, outperforming SCIP on Google-scale MIPs: dpmd.ai/13349 (1/)

Come see us at #UAI2021 poster I-G4. I picked a nice purple outfit for the occasion.

Joscha Bach Slightly structured garbage in. Slightly structured garbage out. DALLE 2 should somehow respond “I don’t know what that means” … but these models don’t understand what they know and don’t know. This is why we need more #reliabledeeplearning

We’re pleased to introduce Make-A-Video, our latest in #GenerativeAI research! With just a few words, this state-of-the-art AI system generates high-quality videos from text prompts. Have an idea you want to see? Reply w/ your prompt using #MetaAI and we’ll share more results.

Extraordinary new paper from Google on medicine & AI: When Google tuned a AI chatbot to answer common medical questions, doctors judged 92.6% of its answers right … compared to 92.9% of answers given by other doctors. And look at the pace of improvement! arxiv.org/pdf/2212.13138…

Neural nets that analyze/generate text, speech, image, proteins don't tell us much about the structure thereof. But 1. they are very useful 2. they tell us that SGD is better at structure discovery than humans 3. they upset people who devoted their career to structure discovery

Yes, many of us have always been working on "AGI", whatever you mean by that. Perceptron, General Problem Solver, expert systems, machine learning, backprop, RL, SSL, transformers, LLMs...: For some, these were going to be "The One Weird Trick" that was gonna take us to AGI. 1/

🚨 Join the AAAI FS 2024 - ATRACC for expert talks on AI Validation, Risk, & Trustworthiness! 🗓️ Nov 7-9, 2024 📍 Arlington, VA 🔑 Hotel Deadline: Oct 17 – Limited rooms! 🏨 More info: buff.ly/4eVwTHY #AAAI #ATRACC2024 #AITrustworthiness #AIConference 🚨

🧠 Can AI detect your mental effort using wearables? We tested ML, DNNs & transfer learning on biosignal data (EEG, PPG, BVP) to decode cognitive states. 📺 Full video: youtube.com/watch?v=z8jsEZ… #AI #DeepLearning #Wearables #CognitiveLoad #MachineLearning

We trained ML models to detect cognitive load using wearable biosignal data. 👨‍⚕️ Wristbands + EEG → Features + Spectrograms → Transfer Learning Here’s a 3-min clip breaking it all down: ▶️ youtu.be/z8jsEZ9_x2U #DeepLearning #Neurotech #Biosignals #TechForGood

Year 3 of our Machine Learning in Data Science course is here—with a new focus on AI tools like Copilot 🤖⚡ Excited to explore how these tools can boost learning and creativity. Big shoutout to the research team pushing boundaries! #MachineLearning #AI #DataScience

“Don’t fear uncertainty — that’s where the magic happens.” Shared a 3-min clip from a convo with Arman on books, mindset & the startup journey. ▶️ Watch:youtube.com/watch?v=siwQIE… #entrepreneurship #growthmindset #startuplife #booktalk

🚀 Want to train ML models with free GPUs in the cloud? In just 2 mins, David Moe from Jalaian AI Lab shows how we teach: ✅ Google Colab + Kaggle ✅ AI-assisted coding (Gemini) ✅ Easy submission.csv for competitions 🎥 Watch full video: youtube.com/watch?v=S5cijA… #AICoding