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SDG&E, Qualcomm and UC San Diego Launch Edge AI Collaboration to Advance Wildfire and Extreme-Weather Response

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SDG&E (NYSE:SRE), Qualcomm Technologies and UC San Diego’s Scripps Institution of Oceanography launched Edge Alert Sentinel (EAS), an edge AI collaboration to enhance wildfire and extreme-weather response. The first system on Mt. Palomar will process local environmental data in real time to support faster, more informed utility and emergency actions.

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AI-generated analysis. How Rhea-AI works. Not financial advice.

Positive

  • None.

Negative

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News Market Reaction – SRE

+1.85%
+1.85% News Effect

On the day this news was published, SRE gained 1.85%, reflecting a mild positive market reaction.

Data tracked by StockTitan Argus on the day of publication.

What This Means

This announcement highlights Sempra’s push to integrate advanced edge AI into wildfire and extreme‑w...
Analysis

This announcement highlights Sempra’s push to integrate advanced edge AI into wildfire and extreme‑weather response, leveraging a neural‑processing unit capable of up to 100 trillion operations per second. It extends the company’s existing focus on grid resilience, capital investment and regional reliability into real‑time environmental intelligence. Investors may watch how the Palomar Mountain pilot performs, how quickly deployments expand toward the planned 2027 wider rollout, and how this complements ongoing utility operations in California and Texas.

Key Figures

AI processing power: up to 100 trillion operations per second Pilot rollout target: 2027
2 metrics
AI processing power up to 100 trillion operations per second Qualcomm Dragonwing IQ9 neural-processing unit in EAS deployment
Pilot rollout target 2027 Wider rollout of Edge Alert Sentinel after initial deployments

Historical Context

5 past events · Latest: May 13 (Positive)
Pattern 5 events
Date Event Sentiment 24h Move Catalyst
May 13 Dividend declaration Positive -1.9% Board declared a quarterly common dividend of $0.6575 per share.
May 12 Preferred buyback plan Positive -1.9% SoCalGas sought approval to retire 6% preferred shares at a cash premium.
May 07 Oncor Q1 results Positive -2.2% Oncor reported higher Q1 net income and outlined ~$9.0B 2026 capex.
May 07 Sempra Q1 earnings Positive -2.2% Sempra posted strong Q1 earnings and reaffirmed 2026–2027 EPS guidance.
Apr 23 Gas affordability report Positive +1.7% Report showed gas infrastructure cut costs and avoided ~$120M in customer costs.

24h Move is the share-price change in the day after each event; other market factors may also have contributed.

Pattern Detected

Recent history shows multiple positive or shareholder-friendly announcements followed by negative 24-hour price reactions, suggesting a tendency for the stock to trade lower on good news.

Recent Company History

Over the past few months, Sempra has focused on core utility growth, capital deployment and shareholder returns. Q1 2026 results reported GAAP earnings of $1.04 billion, adjusted earnings of $991 million and a $65 billion 2026–2030 capex plan, alongside updated EPS guidance. The company declared a quarterly dividend of $0.6575 per share and highlighted the affordability benefits of natural gas infrastructure. Against this backdrop, the new Edge AI collaboration extends Sempra’s grid-resilience and risk‑management efforts into wildfire and extreme‑weather response.

Regulatory & Risk Context

Short Interest: 1.58%
Short Interest
1.58% of float
0% 15% 30%+
low as of 2026-05-29 Days to cover: 3.03

Key Terms

edge ai, mlops, neural-processing unit, private cellular network, +1 more
5 terms
edge ai technical
"Edge Alert Sentinel (EAS), a new collaboration that will bring artificial intelligence (AI) directly to the front lines"
Edge AI refers to artificial intelligence systems that process data directly on local devices or nearby servers rather than sending information to distant data centers. This allows for faster decision-making and real-time responses, similar to how a home security camera can instantly detect motion without needing to connect to a remote server. For investors, edge AI represents a growing trend toward more efficient, responsive technology that can create new opportunities across various industries.
mlops technical
"Using an MLOps platform from Edge Impulse, a Qualcomm company, on-device models help forecast conditions"
MLOps is the set of practices, tools and routines that turn experimental machine-learning models into reliable, repeatable systems used in everyday business operations — think of it as the maintenance and production process that keeps a high-tech engine running smoothly. For investors, MLOps matters because it determines whether model-driven products actually deliver consistent results, control costs, scale safely and meet regulatory standards, all of which affect a company’s revenue, risk profile and valuation.
neural-processing unit technical
"features a neural-processing unit capable of delivering up to 100 trillion operations per second"
A neural-processing unit (NPU) is a specialized computer chip designed to run artificial intelligence tasks much faster and using less battery or power than general-purpose processors. Think of it as a kitchen appliance made for one recipe: it makes tasks like image recognition, voice processing, or other machine-learning jobs quicker and cheaper to run. For investors, NPUs matter because they can drive product performance, reduce operating costs, enable new features, and create competitive advantages that affect sales and profit margins.
private cellular network technical
"predictive alerts can be transmitted directly to SDG&E's control center via its private cellular network"
A private cellular network is a standalone mobile communications system built for one organization to connect its employees, machines, and sensors across specific sites or campuses using cellular technology. Investors should care because it can improve efficiency, security, and control—like a private road network that speeds operations and keeps outsiders out—potentially lowering costs, protecting sensitive data, and creating new revenue or service opportunities.
autonomous aerial operations technical
"support automated inspections of critical utility infrastructure through autonomous aerial operations"
Autonomous aerial operations use unmanned aircraft guided by onboard software and sensors to carry out tasks such as surveying, deliveries, mapping, or inspections without a human pilot controlling each flight. For investors, these operations matter because they can cut labor and travel costs, scale services quickly like a “self‑driving car in the sky,” and open new markets, while also creating exposure to safety, regulatory and technology risks that affect returns.

AI-generated analysis. How Rhea-AI works. Not financial advice.

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Initial deployment in Southern California will demonstrate how real-time, on-site intelligence can strengthen climate resilience and emergency response

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SAN DIEGO, June 8, 2026 /PRNewswire/ -- San Diego Gas & Electric (SDG&E), a subsidiary of Sempra (NYSE:SRE), Qualcomm Technologies, Inc. and the University of California San Diego's Scripps Institution of Oceanography today announced Edge Alert Sentinel (EAS), a new collaboration that will bring artificial intelligence (AI) directly to the front lines of wildfire and extreme-weather response. Designed to detect and analyze rapidly changing conditions in real time, the initiative represents a new approach to environmental intelligence — processing critical data at the point of risk to help utilities and emergency responders act faster when it matters most.

While the initial deployment is in San Diego, the collaboration is intended to demonstrate how edge-based AI can support grid reliability, emergency preparedness and climate resilience.

Southern California faces some of the most complex wildfire and extreme-weather conditions in the nation, with Santa Ana winds, drought and highly varied terrain creating rapidly changing and often unpredictable risk. In these environments, conditions can shift in minutes, and delays are not an option. EAS will integrate environmental sensors, edge AI computing and atmospheric science to generate near-instant insights where conditions are unfolding — not minutes later in distant data centers. The first system is being installed on Mt. Palomar, where it will begin analyzing wind, weather and environmental data to provide earlier visibility into conditions that influence wildfire behavior and extreme-weather impacts.

"For nearly two decades, our region has avoided a catastrophic electrically caused wildfire because we chose to lead early and never stop looking ahead," said Scott Crider, President of SDG&E. "Edge Alert Sentinel reflects that same mindset. By working with Qualcomm Technologies and UC San Diego, we're bringing world-class technology and science together, so intelligence lives where the risk lives — on the front lines — and communities are safer because of it."

EAS reflects a shared effort to anticipate tomorrow's climate risks today — aligning utility operations, breakthrough technology and climate science into a coordinated approach designed to support faster, more informed decisions when seconds matter.

In parallel, Qualcomm Technologies and SDG&E are working to apply AI directly integrated on field devices and real-time connectivity to support automated inspections of critical utility infrastructure through autonomous aerial operations, extending the same intelligence-at-the-edge approach to physical grid assets.

Intelligence-at-the-Edge — Where Conditions Unfold
Traditional monitoring systems often rely heavily on remote cloud processing, which can introduce delays — particularly during severe weather or emergencies. EAS will process data at the point of collection, enabling rapid analysis even when connectivity is strained.

"Through this collaboration, we're intending to bring real-time intelligence directly to the front lines of wildfire response," said Nakul Duggal, EVP and Group GM, Automotive, Industrial and Embedded IoT, and Robotics, Qualcomm Technologies, Inc. "By combining on-site AI with advanced sensing and connectivity, we're helping deliver faster, more reliable insights where conditions are changing — so responders can assess risk and act with greater speed and confidence."

This on-site processing enables near-instant analysis, reducing delays that can cost critical time during wildfire response and helping utility responders move more quickly from observation to action during fast-changing conditions.

At the core of the deployment is a ruggedized edge AI gateway platform powered by the Qualcomm Dragonwing™ IQ9 processor, a high-performance, multi-core application processor that features a neural-processing unit capable of delivering up to 100 trillion operations per second. Using an MLOps platform from Edge Impulse, a Qualcomm company, on-device models help forecast conditions that could impact grid infrastructure in residential areas, to support more proactive decision-making for utility operators. Monitoring data and predictive alerts can be transmitted directly to SDG&E's control center via its private cellular network.

These localized analytics and telemetry data will help identify emerging risks earlier, strengthening operational decision-making, safety and overall grid resilience.

Industry and Academia Unite to Deliver Actionable Intelligence
EAS unites complementary strengths across industry and academia:

  • Qualcomm Technologies will provide advanced on-device AI processing capabilities and low-latency, edge-computing architecture to support SDG&E's environmental intelligence, autonomous inspection and grid-resilience efforts at the edge.
  • SDG&E will contribute operational expertise, grid infrastructure and weather-data networks.
  • Scripps Institution of Oceanography will provide long-standing observational data and scientific expertise to enhance modeling and real-time analysis.

Together, the collaborators are building a continuous loop of live data, on-site AI analysis and actionable insights designed to translate rapidly changing conditions into timely action that enhance safety, reliability and grid resilience.

Why This Matters for the Region
By delivering intelligence directly at the point of risk, EAS is designed to reduce latency, improve preparedness and strengthen coordination across utilities and emergency responders — helping protect lives, communities and critical ecosystems in regions facing increasingly complex weather risks.

While developed in Southern California, the approach is designed to scale to other regions facing increasingly frequent and severe climate-driven events — from wildfires to extreme storms — where real-time, location-specific intelligence can improve how decisions are made under pressure.

"Scripps has been making real-time observations of atmospheric conditions throughout San Diego County since the turn of the millennium, building a uniquely rich dataset that advances our understanding of wildfire and extreme weather risk in Southern California," said Frank Vernon, director of the University of California Scripps Institute of Oceanography High Performance Wireless Research and Education Network. "With this new onsite AI capability, we're moving beyond observation to predicting impact in real time — at the exact moment and place where danger emerges. That's what becomes possible when industry brings operational scale, real-world deployment experience, and urgent community needs together with academia's scientific rigor and long-term observational record."

What's next
During the upcoming Public Safety Power Shutoff season, the companies will evaluate the performance of the initial Palomar Mountain deployment, a high-elevation site critical for wildfire and extreme-weather monitoring in the region, with plans to expand the technology to additional sites beginning next year. Insights from the pilot phase will inform expansion, enhanced modeling capabilities and broader regional applications, with a wider rollout targeted for 2027. The collaboration will also explore joint training and coordination opportunities to support emergency preparedness across Southern California and other regions facing similar risks.

About SDG&E
San Diego Gas & Electric® (SDG&E) is an innovative energy-delivery company that provides clean, safe and reliable energy to better the lives of the people it serves in San Diego and southern Orange counties. The company is committed to creating a sustainable future by increasing energy delivered from low- or zero-carbon sources; accelerating the adoption of electric vehicles and investing in innovative technologies to ensure the reliable operation of the region's infrastructure for generations to come. SDG&E is a recognized leader in its industry and community, as demonstrated by being named Corporate Partner of the Year at the San Diego Business Journal's Nonprofit & Corporate Citizenship Awards and receiving PA Consulting's ReliabilityOne® Award for Outstanding Reliability Performance for 20 consecutive years. SDG&E is a subsidiary of Sempra (NYSE: SRE), a leading U.S. utility growth business. For more information, visit SDGEtoday.com or connect with SDG&E on social media @SDGE. Message funded by SDG&E shareholders.

About Qualcomm
Qualcomm relentlessly innovates to deliver intelligent computing everywhere, helping the world tackle some of its most important challenges. Building on our 40 years of technology leadership in creating era-defining breakthroughs, we deliver a broad portfolio of solutions built with our leading-edge AI, high-performance, low-power computing, and unrivaled connectivity. Our Snapdragon® platforms power extraordinary consumer experiences, and our Qualcomm Dragonwing™ products empower businesses and industries to scale to new heights. Together with our ecosystem partners, we enable next-generation digital transformation to enrich lives, improve businesses, and advance societies. At Qualcomm, we are engineering human progress.

Qualcomm Incorporated includes our licensing business, QTL, and the vast majority of our patent portfolio. Qualcomm Technologies, Inc., a subsidiary of Qualcomm Incorporated, operates, along with its subsidiaries, substantially all of our engineering and research and development functions and substantially all of our products and services businesses, including our QCT semiconductor business. Snapdragon and Qualcomm branded products are products of Qualcomm Technologies, Inc. and/or its subsidiaries. Qualcomm patents are licensed by Qualcomm Incorporated.

About UC San Diego's Scripps Institution of Oceanography
Scripps Institution of Oceanography is one of the world's premier centers for climate, atmospheric and Earth science research, providing foundational knowledge for regional resilience. Visit scripps.ucsd.edu.

This press release contains forward-looking statements within the meaning of the Private Securities Litigation Reform Act of 1995. Forward-looking statements are based on assumptions about the future, involve risks and uncertainties, and are not guarantees. Future results may differ materially from those expressed or implied in any forward-looking statement. These forward-looking statements represent our estimates and assumptions only as of the date of this press release. We assume no obligation to update or revise any forward-looking statement as a result of new information, future events or otherwise.

In this press release, forward-looking statements can be identified by words such as "believe," "expect," "intend," "anticipate," "contemplate," "plan," "estimate," "project," "forecast," "envision," "should," "could," "would," "will," "confident," "may," "can," "potential," "possible," "proposed," "in process," "construct," "develop," "opportunity," "preliminary," "pro forma," "strategic," "initiative," "target," "outlook," "optimistic," "poised," "positioned," "maintain," "continue," "progress," "advance," "goal," "aim," "commit," or similar expressions, or when we discuss our guidance, priorities, strategies, goals, vision, mission, projections, intentions or expectations.

Factors, among others, that could cause actual results and events to differ materially from those expressed or implied in any forward-looking statement include: California wildfires, including potential liability for damages regardless of fault and any inability to recover all or a substantial portion of costs from insurance, the wildfire fund established by California Assembly Bill 1054 and the wildfire fund continuation account established by California Senate Bill 254, rates from customers or a combination thereof; decisions, disallowances or denials of cost recovery, audits, investigations, inquiries, ordered studies, regulations, legislative actions, denials or revocations of permits, consents, approvals or other authorizations, renewals of franchises, and other actions, including the failure to honor contracts and commitments, by the (i) California Public Utilities Commission (CPUC), U.S. Department of Energy, U.S. Federal Energy Regulatory Commission, U.S. Internal Revenue Service and other regulatory bodies and (ii) U.S. and states, counties, cities and other jurisdictions therein where we do business; the success of business development efforts and construction projects, including risks related to, as applicable, (i) negotiating pricing and other terms in definitive contracts, (ii) completing construction projects or other transactions on schedule and budget, (iii) realizing anticipated benefits from any of these efforts if completed, (iv) obtaining regulatory and other approvals and (v) third parties honoring their contracts and commitments; changes to our capital expenditure plans and their potential impact on rate base or other growth; changes, due to evolving economic, political and other factors and increasing geopolitical instability as a result of wars or other conflicts in various parts of the world, to (i) trade and other foreign policy, including the imposition of tariffs by the U.S. and foreign countries (and uncertainty related to the implementation and enforceability thereof), and (ii) laws and regulations, including those related to tax; litigation, arbitration, property disputes and other proceedings; cybersecurity threats, including by nation-state actors, of ransomware or other attacks on our systems, the energy grid or our other infrastructure, or the systems of third parties with which we conduct business; the availability, uses, sufficiency, and cost of capital resources and our ability to borrow money or otherwise raise capital on favorable terms and meet our obligations, which can be affected by, among other things, (i) actions by credit rating agencies to downgrade our credit ratings or place those ratings on negative outlook, (ii) instability in the capital markets, and (iii) fluctuating interest rates and inflation; the impact of efforts to increase affordability of U.S. utility customer rates on our ability to obtain cost recovery from applicable regulators, our capital expenditure and other growth plans and our ability to advance statewide policies; the impact on affordability of customer rates, cost of capital and operating margin due to (i) volatility in inflation, interest rates, commodity prices, and tariff rates and (ii) the cost of meeting the demand for lower carbon and reliable energy in California; the impact of climate policies, laws, rules, regulations, trends and required disclosures, including actions to reduce or eliminate reliance on natural gas, increased uncertainty in the political or regulatory environment for California natural gas distribution companies, the risk of nonrecovery for stranded assets, and uncertainty related to emerging technologies; weather, natural disasters, pandemics, accidents, equipment failures, explosions, terrorism, information system outages or other events, such as work stoppages, that disrupt our operations, damage our facilities or systems, cause the release of harmful materials or fires or subject us to liability for damages, fines and penalties, some of which may not be recoverable through regulatory mechanisms or insurance or may impact our ability to obtain satisfactory levels of affordable insurance; the availability of electric power, natural gas and natural gas storage and transportation capacity, including disruptions caused by failures in the transmission grid or pipeline and storage systems or limitations on the injection and withdrawal of natural gas from storage facilities; and other uncertainties, some of which are difficult to predict and beyond our control.

These risks and uncertainties are further discussed in the reports that the company has filed with the U.S. Securities and Exchange Commission (SEC). These reports are available through the EDGAR system free-of-charge on the SEC's website, www.sec.gov, and on Sempra's website, www.sempra.com. Investors should not rely unduly on any forward-looking statements.

Sempra Infrastructure, Sempra Infrastructure Partners, Sempra Texas, Sempra Texas Utilities, Oncor Electric Delivery Company LLC (Oncor) and Infraestructura Energética Nova, S.A.P.I. de C.V. (IEnova) are not the same companies as the California utilities, San Diego Gas & Electric Company or Southern California Gas Company, nor are they regulated by the CPUC.

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SOURCE San Diego Gas & Electric (SDG&E)

FAQ

What is the Edge Alert Sentinel collaboration announced by SDG&E (NYSE:SRE), Qualcomm and UC San Diego?

Edge Alert Sentinel is a joint edge AI initiative focused on wildfire and extreme-weather response. According to SDG&E, it integrates environmental sensors, on-site AI computing and atmospheric science to deliver near-real-time insights that can help utilities and emergency responders act faster during rapidly changing conditions.

How will Edge Alert Sentinel improve wildfire response in Southern California for SDG&E (NYSE:SRE)?

Edge Alert Sentinel aims to provide earlier visibility into wildfire-related conditions in Southern California. According to SDG&E, on-site AI will analyze wind, weather and environmental data on Mt. Palomar, helping utility operators and responders move more quickly from observation to action during high-risk events.

What edge AI technology powers the Edge Alert Sentinel project with SDG&E (NYSE:SRE)?

Edge Alert Sentinel uses a ruggedized edge AI gateway with the Qualcomm Dragonwing IQ9 processor. According to SDG&E, this multi-core processor and neural-processing unit support up to 100 trillion operations per second, enabling on-device models to forecast conditions that could affect grid infrastructure in residential areas.

What is the deployment timeline for Edge Alert Sentinel and when will SDG&E (NYSE:SRE) expand it?

The initial Edge Alert Sentinel system is being installed on Mt. Palomar. According to SDG&E, performance will be evaluated during the upcoming Public Safety Power Shutoff season, with additional sites planned next year and a broader regional rollout targeted for 2027 based on pilot insights.

How are SDG&E (NYSE:SRE), Qualcomm and Scripps Institution of Oceanography collaborating on Edge Alert Sentinel?

Each partner contributes distinct capabilities to Edge Alert Sentinel. According to SDG&E, Qualcomm provides on-device AI and edge-computing architecture, SDG&E adds grid and weather-network expertise, and Scripps supplies long-term observational data and scientific modeling to create a continuous loop of live data and actionable insights.

Will Edge Alert Sentinel and SDG&E’s edge AI work extend beyond wildfire monitoring?

The collaboration also targets automated inspections of utility infrastructure via autonomous aerial operations. According to SDG&E, integrating AI directly on field devices and using real-time connectivity applies the same intelligence-at-the-edge approach to physical grid assets, supporting broader grid-resilience and inspection efforts over time.