Graph neural networks (GNNs) can be pictured as a special class of neural network models where data are structured as graphs — both training data used to train the model and real-world data used for inference — rather than fixed-size vectors or grids like image,… Read More »A Gentle Introduction to Graph Neural Networks in Python Iván Palomares Carrascosa MachineLearningMastery.com
[[{“value”:” Let’s be real: building LLM applications today feels like purgatory. Someone hacks together a quick demo with ChatGPT and LlamaIndex. Leadership gets excited. “We can answer any question about our docs!” But then… reality hits. The system is inconsistent, slow, hallucinating—and that amazing demo… Read More »Escaping POC Purgatory: Evaluation-Driven Development for AI Systems Hugo Bowne-Anderson and Stefan Krawczyk AI & ML – Radar
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We deployed 100 reinforcement learning (RL)-controlled cars into rush-hour highway traffic to smooth congestion and reduce fuel consumption for everyone. Our goal is to tackle “stop-and-go” waves, those frustrating slowdowns and speedups that usually have no clear cause but lead to congestion and significant energy waste. To train efficient flow-smoothing controllers, we built fast, data-driven simulations that RL agents interact with, learning to maximize energy efficiency while maintaining throughput and operating safely around human drivers.
Overall, a small proportion of well-controlled autonomous vehicles (AVs) is enough to significantly improve traffic flow and fuel efficiency for all drivers on the road. Moreover, the trained controllers are designed to be deployable on most modern vehicles, operating in a decentralized manner and relying on standard radar sensors. In our latest paper, we explore the challenges of deploying RL controllers on a large-scale, from simulation to the field, during this 100-car experiment.
We will be performing various network maintenance activities throughout the day on Wednesday, March 26th during the previously announced Soda Hall 2nd floor power shutdown. We expect that most of our work will not affect wired and wi-fi network service, however there will be some… Read More »EECS Network Maintenance, Wed. Mar. 26 Derek Calderon IRIS
Large language models (LLMs) are changing the way we think about AI. Large language models (LLMs) are changing the way we think about AI. Read More
Text-to-Image (T2I) diffusion models have shown impressive results in generating visually compelling images following user prompts. Building on this, various methods further fine-tune the pre-trained T2I model for specific tasks. However, this requires separate model architectures, training designs, and multiple parameter sets to handle different… Read More »UniVG: A Generalist Diffusion Model for Unified Image Generation and Editing Apple Machine Learning Research
[[{“value”:”In this work, we dive into the fundamental challenges of evaluating Text2SQL solutions and highlight potential failure causes and the potential risks of relying on aggregate metrics in existing benchmarks. We identify two largely unaddressed limitations in current open benchmarks: (1) data quality issues in… Read More »Fundamental Challenges in Evaluating Text2SQL Solutions and Detecting Their Limitations Apple Machine Learning Research
This post is divided into three parts; they are: • Setting up the translation pipeline • Translation with alternatives • Quality estimation Text translation is a fundamental task in natural language processing, and it inspired the invention of the original transformer model. This post is divided… Read More »Implementing Multilingual Translation with T5 and Transformers Muhammad Asad Iqbal Khan MachineLearningMastery.com
[[{“value”:” Research and development (R&D) is crucial in driving productivity, particularly in the AI era. However, conventional automation methods in R&D often lack the intelligence to handle complex research challenges and innovation-driven tasks, making them less effective than human experts. Conversely, researchers leverage deep domain… Read More »Microsoft AI Releases RD-Agent: An AI-Driven Tool for Performing R&D with LLM-based Agents Sana Hassan Artificial Intelligence Category – MarkTechPost
