CMU Researchers Help Reduce Energy Grid Uncertainty
<p> <img loading="lazy" src="https://www.cmu.edu/news/sites/default/files/styles/listings_desktop_1x_/public/2026-01/HeinzGridThumbnailSmall.jpg.webp?itok=2NN-AzoZ" width="900" height="508" alt="Wendy Wang, Shixiang (Woody) Zhu and Wenbin Zhou."> </p> Researchers are helping cities learn how to make room for too much of a good thing: renewable energy.
Could not retrieve the full article text.
Read on Carnegie Mellon News →Carnegie Mellon News
https://www.cmu.edu/news/stories/archives/2026/march/cmu-researchers-help-reduce-energy-grid-uncertaintySign in to highlight and annotate this article
Conversation starters
Daily AI Digest
Get the top 5 AI stories delivered to your inbox every morning.
More about
research
UTEP research seeks to make AI speech more natural - KTSM 9 News
<a href="https://news.google.com/rss/articles/CBMilgFBVV95cUxOUXU5QnZjNHp2OUY2MHpadVUydlBrVlVETzdZQmxFX2FaTEo0WjhUT29FckJMY1FXXy1zZFdrY3FScDRScnBsbDRSakhtXzdhdWFLa0N4TFdvMFFRVHF1VG5xdGw3VlNxeXBITThfY3Y0SDBDbDBIcXRoRklGLUpFVFpoSUc3YUdzZnE1Nk1CX0x3U1dlaEHSAZsBQVVfeXFMUFlfcVVpLWNYd3oxTnB3cmt4YXprOWl6UFhQTS02WUNra21hTFllc19BUm5sTEViamlzS2lheFAzR2g0UWZVaHRmZmhsWV9RU0NuR2t2VnhaZENHZUlVWjRPbFNPV1JHZVNLV1RkMl90QUt1YTJSMEVHQUhCQktBc00xRDhrMl9INEFEUFY0dkVjV0NEOUFYdmNwd00?oc=5" target="_blank">UTEP research seeks to make AI speech more natural</a> <font color="#6f6f6f">KTSM 9 News</font>
Exclusive | Caltech Researchers Claim Radical Compression of High-Fidelity AI Models - WSJ
<a href="https://news.google.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?oc=5" target="_blank">Exclusive | Caltech Researchers Claim Radical Compression of High-Fidelity AI Models</a> <font color="#6f6f6f">WSJ</font>
North Korean hackers implicated in major supply chain attack
<p>Suspected <a href="https://www.axios.com/world/north-korea" target="_blank">North Korean hackers</a> are believed to be behind an ongoing compromise of the widely used open-source package Axios, which is downloaded millions of times per week, researchers at Google said Tuesday.</p><p><strong>Why it matters:</strong> Hackers briefly turned a widely trusted developer tool into a vehicle for credential-stealing malware that could give attackers ongoing access to infected systems.</p><hr><ul><li>Axios, a widely used JavaScript library for making HTTP requests, is not affiliated with Axios Media.</li></ul><p><strong>Driving the news</strong>: Researchers at Google linked the activity to a North Korean group tracked as <a href="https://cloud.google.com/blog/topics/threat-intelligence/unc1069-
Knowledge Map
Connected Articles — Knowledge Graph
This article is connected to other articles through shared AI topics and tags.
More in Research Papers
It's Not Smarter Models — It's Cheaper Memory: TurboQuant's Real Impact, Wall Street Panic & Academic Storm
<blockquote> <p><strong>One-line summary:</strong> TurboQuant is a genuinely important engineering breakthrough — but Google's marketing, academic ethics controversy, and Wall Street's overreaction made the story far more dramatic than the technology itself.</p> </blockquote> <h2> 0. What This Article Answers </h2> <p>Google Research published TurboQuant at ICLR 2026 (<a href="https://arxiv.org/abs/2504.19874" rel="noopener noreferrer">arXiv 2504.19874</a>), claiming 6x memory compression, 8x speedup, and zero accuracy loss for LLM KV caches.</p> <p>Then, in the same week:</p> <ol> <li>Global memory stocks lost over <strong>$90 billion</strong> in market cap</li> <li>An ETH Zürich researcher publicly accused the paper of <strong>academic plagiarism and experimental fraud</strong> </li> <li
CARLA-Air: Fly Drones Inside a CARLA World -- A Unified Infrastructure for Air-Ground Embodied Intelligence
CARLA-Air integrates high-fidelity driving and multirotor flight simulation within a unified Unreal Engine framework, supporting joint air-ground agent modeling with photorealistic environments and multi-modal sensing capabilities. (1 upvotes on HuggingFace)
OptiMer: Optimal Distribution Vector Merging Is Better than Data Mixing for Continual Pre-Training
OptiMer enables flexible continual pre-training by decoupling data mixture ratio selection from training through post-hoc Bayesian optimization of distribution vectors extracted from individual dataset models. (1 upvotes on HuggingFace)
LongCat-Next: Lexicalizing Modalities as Discrete Tokens
Discrete Native Autoregressive framework enables unified multimodal processing by representing diverse modalities in a shared discrete space through a novel visual transformer architecture. (43 upvotes on HuggingFace)
Discussion
Sign in to join the discussion
No comments yet — be the first to share your thoughts!