[{"data":1,"prerenderedAt":399},["ShallowReactive",2],{"header":3,"footer":32,"footer-cities":56,"content-\u002Fnews\u002Fproject-aims-to-put-ai-to-work-reducing-its-own-energy-needs":237},{"id":4,"title":5,"body":6,"description":10,"extension":13,"links":14,"meta":26,"navigation":27,"path":28,"seo":29,"stem":30,"__hash__":31},"header\u002Fheader.md","Central Valley AI",{"type":7,"value":8,"toc":9},"minimark",[],{"title":10,"searchDepth":11,"depth":11,"links":12},"",2,[],"md",[15,20],{"label":16,"to":17,"icon":19},"News",{"path":18},"\u002Fnews\u002F","mdi-newspaper-variant-outline",{"label":21,"to":22,"icon":25},"Contact",{"path":23,"hash":24},"\u002F","#contact","mdi-email-outline",{},true,"\u002Fheader",{"title":5,"description":10},"header","CcnlvU-MIELm1QjRt6-8EIWzffq9TShbzfGuB7P8caE",{"id":33,"title":34,"body":35,"copyright":39,"description":10,"developedBy":40,"extension":13,"links":46,"meta":51,"navigation":27,"path":52,"seo":53,"stem":54,"__hash__":55},"footer\u002Ffooter.md","Footer",{"type":7,"value":36,"toc":37},[],{"title":10,"searchDepth":11,"depth":11,"links":38},[],"© {year} All rights reserved.",{"label":41,"link":42},"Developed by",{"label":43,"to":44,"target":45},"Kaweah Tech","https:\u002F\u002Fkaweah.tech","_blank",[47,48],{"label":16,"to":18},{"label":49,"to":50},"Privacy Policy","\u002Fprivacy-policy\u002F",{},"\u002Ffooter",{"description":10},"footer","hsL9eJ4YEacLAdbs9C023GtZ9cLz07zVbmRn545fjvk",[57,87,125,156,183,210],{"id":58,"title":59,"body":60,"county":79,"description":10,"extension":13,"intro":80,"meta":81,"navigation":27,"path":82,"seo":83,"stem":84,"tag":85,"__hash__":86},"cities\u002Fcities\u002Fbakersfield.md","Bakersfield",{"type":7,"value":61,"toc":76},[62,67],[63,64,66],"h2",{"id":65},"ai-in-bakersfield","AI in Bakersfield",[68,69,70,71,75],"p",{},"Bakersfield's AI conversation sits at the intersection of municipal government, the ",[72,73,74],"strong",{},"California State University Bakersfield"," community, and the energy and ag operators that drive Kern County's economy. The city was an early mover on AI-assisted permitting and has been a recurring backdrop for parent- and teacher-led debates about classroom AI use. Articles below follow specific Bakersfield initiatives, public-meeting decisions, and Kern County workforce stories — and how they reflect national AI trends from a regional vantage point.",{"title":10,"searchDepth":11,"depth":11,"links":77},[78],{"id":65,"depth":11,"text":66},"Kern County","Bakersfield and the surrounding Kern County are home to some of the most concrete AI-in-government experiments in the Central Valley, from instant municipal permitting to school-district debates about classroom AI. Coverage on this page tracks how AI is reshaping public services, education, and the energy and agriculture economies that dominate the region.",{},"\u002Fcities\u002Fbakersfield",{"title":59,"description":10},"cities\u002Fbakersfield","bakersfield","ozFL4HvDA_g7UrRE1mHbKqcS-vDLwbiH9JWVh3rB2Ac",{"id":88,"title":89,"body":90,"county":117,"description":10,"extension":13,"intro":118,"meta":119,"navigation":27,"path":120,"seo":121,"stem":122,"tag":123,"__hash__":124},"cities\u002Fcities\u002Ffresno.md","Fresno",{"type":7,"value":91,"toc":114},[92,96,111],[63,93,95],{"id":94},"ai-in-fresno","AI in Fresno",[68,97,98,99,102,103,106,107,110],{},"Fresno's AI story spans several distinct ecosystems. ",[72,100,101],{},"Fresno State"," and the ",[72,104,105],{},"California State University"," system anchor a workforce-readiness push, while local ",[72,108,109],{},"Fresno Unified School District"," debates around responsible use have made the city a recurring reference point in California's K-12 AI conversation. The city's economic base in agriculture, healthcare, and public services means most AI adoption stories here are about applied uses rather than model development — a different posture than coastal tech hubs but arguably more consequential for the people living here.",[68,112,113],{},"Use the articles below to follow how AI is showing up in Fresno-area institutions and businesses.",{"title":10,"searchDepth":11,"depth":11,"links":115},[116],{"id":94,"depth":11,"text":95},"Fresno County","Fresno is the largest city in California's Central Valley and the regional center for AI adoption across agriculture, healthcare, higher education, and small business. Coverage on this page tracks how AI is being applied — and contested — in and around the city of Fresno and Fresno County.",{},"\u002Fcities\u002Ffresno",{"title":89,"description":10},"cities\u002Ffresno","fresno","gOL2xk8y9t9OV6PPxP02OjYhZFHC_Cg-VGijh_V93dI",{"id":126,"title":127,"body":128,"county":148,"description":10,"extension":13,"intro":149,"meta":150,"navigation":27,"path":151,"seo":152,"stem":153,"tag":154,"__hash__":155},"cities\u002Fcities\u002Fmerced.md","Merced",{"type":7,"value":129,"toc":145},[130,134],[63,131,133],{"id":132},"ai-in-merced","AI in Merced",[68,135,136,137,140,141,144],{},"Merced is a research-heavy node in the Central Valley AI ecosystem. ",[72,138,139],{},"UC Merced"," faculty appear in national conversations about AI safety, autonomous vehicles, climate modeling, and pediatric health applications, while the ",[72,142,143],{},"Merced Unified School District"," and surrounding county institutions navigate the same K-12 and workforce questions the rest of the Valley faces. The articles below cover both the campus research story and the broader applied uses around the city and county.",{"title":10,"searchDepth":11,"depth":11,"links":146},[147],{"id":132,"depth":11,"text":133},"Merced County","Merced punches above its weight in AI research, anchored by UC Merced — a leading West Coast hub for AI in agriculture, climate, autonomous systems, and health. Coverage on this page tracks both academic research coming out of the campus and how AI is showing up across Merced's schools, businesses, and county institutions.",{},"\u002Fcities\u002Fmerced",{"title":127,"description":10},"cities\u002Fmerced","merced","pSWWlEzMdcv2_RZrUKdkEHU3bixNboePGdHbSdd1m34",{"id":157,"title":158,"body":159,"county":175,"description":10,"extension":13,"intro":176,"meta":177,"navigation":27,"path":178,"seo":179,"stem":180,"tag":181,"__hash__":182},"cities\u002Fcities\u002Fmodesto.md","Modesto",{"type":7,"value":160,"toc":172},[161,165],[63,162,164],{"id":163},"ai-in-modesto","AI in Modesto",[68,166,167,168,171],{},"Modesto's AI conversation tends to combine ag-tech adoption stories with workforce-readiness questions for the city's small and mid-sized employers. ",[72,169,170],{},"CSU Stanislaus"," and the regional community college network shape the higher-ed angle. Coverage below follows Modesto-area AI announcements and the wider Stanislaus County context.",{"title":10,"searchDepth":11,"depth":11,"links":173},[174],{"id":163,"depth":11,"text":164},"Stanislaus County","Modesto and Stanislaus County sit between the Bay Area and the southern Valley, and their AI story reflects that bridging role — from agriculture and food processing to the **California State University Stanislaus** community to small businesses adapting to AI-driven changes in marketing, hiring, and operations.",{},"\u002Fcities\u002Fmodesto",{"title":158,"description":10},"cities\u002Fmodesto","modesto","l75Dc40MX8wTb4lD088Yx9we4ypuDwmcvE-uEdqqREc",{"id":184,"title":185,"body":186,"county":202,"description":10,"extension":13,"intro":203,"meta":204,"navigation":27,"path":205,"seo":206,"stem":207,"tag":208,"__hash__":209},"cities\u002Fcities\u002Fstockton.md","Stockton",{"type":7,"value":187,"toc":199},[188,192],[63,189,191],{"id":190},"ai-in-stockton","AI in Stockton",[68,193,194,195,198],{},"Stockton's economic base in logistics, healthcare, and higher education gives the city a different AI profile than the southern Valley. ",[72,196,197],{},"University of the Pacific"," anchors the academic conversation, while San Joaquin County government, hospitals, and warehouse operators are navigating practical adoption questions: cost, training, security, workforce impact. The articles below track Stockton-area AI announcements and the broader San Joaquin County context.",{"title":10,"searchDepth":11,"depth":11,"links":200},[201],{"id":190,"depth":11,"text":191},"San Joaquin County","Stockton and San Joaquin County sit at the northern edge of the Central Valley, where logistics, healthcare, and the University of the Pacific shape the local AI adoption story. Coverage on this page follows how AI is being put to work — and questioned — across San Joaquin County's institutions, employers, and public services.",{},"\u002Fcities\u002Fstockton",{"title":185,"description":10},"cities\u002Fstockton","stockton","TYEBK9akp2HbpAFmYY67FeKt7Rs7L8tvtYeQBtgJAHw",{"id":211,"title":212,"body":213,"county":229,"description":10,"extension":13,"intro":230,"meta":231,"navigation":27,"path":232,"seo":233,"stem":234,"tag":235,"__hash__":236},"cities\u002Fcities\u002Fvisalia.md","Visalia",{"type":7,"value":214,"toc":226},[215,219],[63,216,218],{"id":217},"ai-in-visalia","AI in Visalia",[68,220,221,222,225],{},"Visalia's AI footprint is grounded in the practical adoption stories that come with a Tulare County economy built around agriculture, food processing, and rural healthcare. ",[72,223,224],{},"College of the Sequoias"," and the surrounding K-12 districts anchor the education conversation. The articles below cover Visalia-area AI developments and the Tulare County context, with a focus on applied uses rather than research or model development.",{"title":10,"searchDepth":11,"depth":11,"links":227},[228],{"id":217,"depth":11,"text":218},"Tulare County","Visalia is the largest city in Tulare County and a center for agriculture, healthcare, and county-government services in the southern Central Valley. Coverage on this page tracks how AI is being adopted across Tulare County's schools, hospitals, ag operations, and small business community.",{},"\u002Fcities\u002Fvisalia",{"title":212,"description":10},"cities\u002Fvisalia","visalia","gN4g7aAl-cqD4FfSTgtTAarltUoKLh8NFlPzCbZngqU",{"id":238,"title":239,"archived":240,"author":241,"body":242,"date":387,"dateModified":387,"description":388,"extension":13,"meta":389,"navigation":27,"path":390,"rawbody":391,"seo":392,"sitemap":393,"stem":394,"tags":395,"__hash__":398},"news\u002Fnews\u002Fproject-aims-to-put-ai-to-work-reducing-its-own-energy-needs.md","Project aims to put AI to work reducing its own energy needs",false,"CVAI Newsdesk",{"type":7,"value":243,"toc":378},[244,248,252,257,263,267,270,283,286,290,293,307,310,314,321,325,332,343,347,350,365,368,372],[245,246,239],"h1",{"id":247},"project-aims-to-put-ai-to-work-reducing-its-own-energy-needs",[63,249,251],{"id":250},"overview","Overview",[68,253,254,256],{},[72,255,139],{}," is spearheading a research effort to make artificial intelligence more energy efficient by using AI itself to optimize the way modern computing systems use power. The initiative focuses on reducing the energy intensity of training and running AI models—work that carries growing environmental and cost implications as AI adoption accelerates across industries.",[258,259,260],"blockquote",{},[68,261,262],{},"The project aims to put AI to work reducing its own energy needs.",[63,264,266],{"id":265},"what-the-project-will-do","What the Project Will Do",[68,268,269],{},"The research centers on strategies that allow AI systems to learn when, where, and how to consume less energy without sacrificing accuracy or speed. Expected directions include:",[271,272,273,277,280],"ul",{},[274,275,276],"li",{},"Intelligent workload placement and scheduling that matches computation with available, lower-carbon power.",[274,278,279],{},"Software-level efficiency improvements—such as model optimization and dynamic precision—that reduce compute cycles.",[274,281,282],{},"System-level orchestration that coordinates processors, memory, and cooling to avoid waste and throttle power draw in real time.",[68,284,285],{},"By treating energy as a first-class optimization target, the team aims to cut consumption during both model training and inference, the two most power-hungry phases of AI deployment.",[63,287,289],{"id":288},"why-it-matters-for-ai-and-technology","Why It Matters for AI and Technology",[68,291,292],{},"The power required to build and operate advanced AI models is rising quickly, straining data center capacity and complicating climate goals. Making AI less energy intensive:",[271,294,295,298,301,304],{},[274,296,297],{},"Lowers operating costs for organizations deploying AI at scale.",[274,299,300],{},"Reduces greenhouse gas emissions associated with electricity use.",[274,302,303],{},"Enables AI to run more feasibly on edge devices and in resource-constrained environments.",[274,305,306],{},"Helps cloud and hyperscale providers meet efficiency and sustainability targets without curbing innovation.",[68,308,309],{},"For the broader tech ecosystem, energy-aware AI can unlock wider adoption in sectors like healthcare, agriculture, logistics, and public services by shrinking the hardware footprint and power budgets needed to deliver results.",[63,311,313],{"id":312},"stakeholders-and-collaboration","Stakeholders and Collaboration",[68,315,316,317,320],{},"Led by researchers in ",[72,318,319],{},"computer science and engineering at UC Merced",", the project is positioned at the intersection of AI, high-performance computing, and energy systems. Academic-industry collaboration is likely to play a central role, ensuring that techniques devised in the lab can be integrated into real-world software stacks and data center operations.",[63,322,324],{"id":323},"central-valley-relevance","Central Valley Relevance",[68,326,327,328,331],{},"Located in California’s ",[72,329,330],{},"Central Valley",", UC Merced serves communities that both stand to benefit from AI-driven innovation and are directly affected by energy reliability, water availability, and climate resilience. Energy-efficient AI can:",[271,333,334,337,340],{},[274,335,336],{},"Ease pressure on regional power infrastructure during peak demand.",[274,338,339],{},"Reduce cooling and water needs associated with compute-intensive workloads.",[274,341,342],{},"Support local industries—especially agriculture and logistics—with smarter, lighter-footprint AI tools that operate effectively at the edge or in smaller facilities.",[63,344,346],{"id":345},"what-to-watch-next","What to Watch Next",[68,348,349],{},"Key milestones to look for include prototype tools that automatically tune AI workloads for energy efficiency, benchmarks demonstrating reductions in power use without accuracy loss, and pathways for integrating these methods into common machine learning frameworks and cloud platforms. Successful demonstrations could inform best practices for both public research institutions and private data center operators.",[68,351,352],{},[353,354,355,356,358,359,364],"em",{},"Central Valley AI is produced by the ",[72,357,241],{}," team and developed by ",[360,361,43],"a",{"href":44,"rel":362},[363],"nofollow",", a regional firm that builds, deploys, and integrates AI solutions for businesses across California's Central Valley.",[366,367],"hr",{},[63,369,371],{"id":370},"source","Source",[68,373,374],{},[360,375,376],{"href":376,"rel":377},"https:\u002F\u002Fnews.ucmerced.edu\u002Fnews\u002F2026\u002Fproject-aims-put-ai-work-reducing-its-own-energy-needs",[363],{"title":10,"searchDepth":11,"depth":11,"links":379},[380,381,382,383,384,385,386],{"id":250,"depth":11,"text":251},{"id":265,"depth":11,"text":266},{"id":288,"depth":11,"text":289},{"id":312,"depth":11,"text":313},{"id":323,"depth":11,"text":324},{"id":345,"depth":11,"text":346},{"id":370,"depth":11,"text":371},"2026-04-08","UC Merced researchers launch a project to develop AI-driven methods that cut AI computing’s power draw, exploring software and systems optimizations that could lower data center energy use and emissions—significant for California’s Central Valley and the broader tech ecosystem.",{},"\u002Fnews\u002Fproject-aims-to-put-ai-to-work-reducing-its-own-energy-needs","---\ntitle: \"Project aims to put AI to work reducing its own energy needs\"\ndescription: \"UC Merced researchers launch a project to develop AI-driven methods that cut AI computing’s power draw, exploring software and systems optimizations that could lower data center energy use and emissions—significant for California’s Central Valley and the broader tech ecosystem.\"\ndate: 2026-04-08\ntags:\n  - energy\n  - research\n  - merced\nauthor: \"CVAI Newsdesk\"\ndateModified: \"2026-04-08\"\n---\n\n# Project aims to put AI to work reducing its own energy needs\n\n## Overview\n\n**UC Merced** is spearheading a research effort to make artificial intelligence more energy efficient by using AI itself to optimize the way modern computing systems use power. The initiative focuses on reducing the energy intensity of training and running AI models—work that carries growing environmental and cost implications as AI adoption accelerates across industries.\n\n> The project aims to put AI to work reducing its own energy needs.\n\n## What the Project Will Do\n\nThe research centers on strategies that allow AI systems to learn when, where, and how to consume less energy without sacrificing accuracy or speed. Expected directions include:\n- Intelligent workload placement and scheduling that matches computation with available, lower-carbon power.\n- Software-level efficiency improvements—such as model optimization and dynamic precision—that reduce compute cycles.\n- System-level orchestration that coordinates processors, memory, and cooling to avoid waste and throttle power draw in real time.\n\nBy treating energy as a first-class optimization target, the team aims to cut consumption during both model training and inference, the two most power-hungry phases of AI deployment.\n\n## Why It Matters for AI and Technology\n\nThe power required to build and operate advanced AI models is rising quickly, straining data center capacity and complicating climate goals. Making AI less energy intensive:\n- Lowers operating costs for organizations deploying AI at scale.\n- Reduces greenhouse gas emissions associated with electricity use.\n- Enables AI to run more feasibly on edge devices and in resource-constrained environments.\n- Helps cloud and hyperscale providers meet efficiency and sustainability targets without curbing innovation.\n\nFor the broader tech ecosystem, energy-aware AI can unlock wider adoption in sectors like healthcare, agriculture, logistics, and public services by shrinking the hardware footprint and power budgets needed to deliver results.\n\n## Stakeholders and Collaboration\n\nLed by researchers in **computer science and engineering at UC Merced**, the project is positioned at the intersection of AI, high-performance computing, and energy systems. Academic-industry collaboration is likely to play a central role, ensuring that techniques devised in the lab can be integrated into real-world software stacks and data center operations.\n\n## Central Valley Relevance\n\nLocated in California’s **Central Valley**, UC Merced serves communities that both stand to benefit from AI-driven innovation and are directly affected by energy reliability, water availability, and climate resilience. Energy-efficient AI can:\n- Ease pressure on regional power infrastructure during peak demand.\n- Reduce cooling and water needs associated with compute-intensive workloads.\n- Support local industries—especially agriculture and logistics—with smarter, lighter-footprint AI tools that operate effectively at the edge or in smaller facilities.\n\n## What to Watch Next\n\nKey milestones to look for include prototype tools that automatically tune AI workloads for energy efficiency, benchmarks demonstrating reductions in power use without accuracy loss, and pathways for integrating these methods into common machine learning frameworks and cloud platforms. Successful demonstrations could inform best practices for both public research institutions and private data center operators.\n\n*Central Valley AI is produced by the **CVAI Newsdesk** team and developed by [Kaweah Tech](https:\u002F\u002Fkaweah.tech), a regional firm that builds, deploys, and integrates AI solutions for businesses across California's Central Valley.*\n\n---\n\n## Source\n\nhttps:\u002F\u002Fnews.ucmerced.edu\u002Fnews\u002F2026\u002Fproject-aims-put-ai-work-reducing-its-own-energy-needs\n",{"title":239,"description":388},{"loc":390},"news\u002Fproject-aims-to-put-ai-to-work-reducing-its-own-energy-needs",[396,397,154],"energy","research","S_7GLEqqIQrtalrN7qUsq_uWsZcHCq3U5pvSFk1QuLI",1779739126313]