logo
DeepSig Testifies Before Congress on AI Transforming Wireless and Driving 6G

DeepSig Testifies Before Congress on AI Transforming Wireless and Driving 6G

ARLINGTON, Va.--(BUSINESS WIRE)--Jun 4, 2025--
Today, DeepSig CEO Jim Shea will testify before the U.S. House Energy and Commerce Subcommittee on Communications and Technology during its hearing, 'AI in the Everyday: Current Applications and Future Frontiers in Communications and Technology.' Shea's testimony highlights how artificial intelligence is transforming wireless communications by enhancing 5G performance, accelerating spectrum awareness and strengthening national defense. He emphasizes that AI-native wireless is not only powering today's networks but is a foundational element for the future of 6G. The full written remarks can be found here.
'AI is fundamentally reshaping wireless communications, making networks smarter, faster and more efficient,' says Shea. 'From enhancing 5G reliability to detecting hostile signal activity, AI-native technologies are now indispensable to both national security and everyday connectivity.'
DeepSig's software replaces traditional signal processing with machine learning, enabling networks to adapt in real time to dynamic environments. This improves spectral efficiency, reduces dropped calls and allows rapid response to interference and signal anomalies. Technologies highlighted in Shea's remarks include:
DeepSig's work directly supports U.S. leadership in AI-driven wireless innovation. The company has received multiple awards from the NTIA Public Wireless Supply Chain Innovation Fund to accelerate the deployment of Open RAN and AI-native 5G/6G networks. With continued investment and leadership, the U.S. can shape the future of wireless by building secure, AI-native networks at home, ensuring both technological advantage and national resilience in the era of 6G.
About DeepSig, Inc.
DeepSig is a pioneer in AI native wireless communications. Its transformative technology pushes the boundaries of spectrum sensing, wireless performance and network capabilities. Drawing on a unique blend of expertise in deep learning, wireless systems, and signal processing, DeepSig's AI/ML-powered software enhances security, efficiency, and capacity for tactical and commercial wireless communications in licensed or shared radio spectrum, as well as in existing 5G Open RAN or AI-native next-generation networks.
View source version on businesswire.com:https://www.businesswire.com/news/home/20250604935422/en/
[email protected]
KEYWORD: VIRGINIA UNITED STATES NORTH AMERICA
INDUSTRY KEYWORD: 5G SOFTWARE NETWORKS INTERNET ARTIFICIAL INTELLIGENCE TECHNOLOGY MOBILE/WIRELESS SECURITY
SOURCE: DeepSig, Inc.
Copyright Business Wire 2025.
PUB: 06/04/2025 10:27 AM/DISC: 06/04/2025 10:25 AM
http://www.businesswire.com/news/home/20250604935422/en

Orange background

Try Our AI Features

Explore what Daily8 AI can do for you:

Comments

No comments yet...

Related Articles

Built Tough: How T-Mobile's Smart Network Stays Strong in Disasters
Built Tough: How T-Mobile's Smart Network Stays Strong in Disasters

Associated Press

time31 minutes ago

  • Associated Press

Built Tough: How T-Mobile's Smart Network Stays Strong in Disasters

When natural disasters strike, staying connected can be lifesaving. Subject matter experts on T‑Mobile's emergency response teams explain how the company has stepped up its network to think, adapt and respond in real time, in real emergencies they have seen first-hand, when everything is on the line. During an emergency, connectivity can mean the difference between safety and silence. And no one knows that better than T-Mobile's emergency response teams, who've seen firsthand how critical it is to stay connected. 'There is no better feeling in the world than when you're in the field and someone hugs you and says, 'You're here!'' says Becky Romero, Senior Manager, T-Mobile's Enterprise Business Continuity team. 'It's very emotional for our teams when we get to show what the Magenta mission looks like.' That's why the Un-carrier built a modern and intelligent network designed to evolve — one that doesn't just bounce back from disaster but actively adapts in real time to keep people connected. From self-healing infrastructure powered by AI and real-time data to satellite connectivity and prioritized 5G for first responders, T-Mobile is redefining what it means to be ready. 'We don't prepare for just one storm, we prepare for the entire season,' adds Joseph Urban, Senior Director, T-Mobile's Engineering and Operations. 'Our teams, systems and equipment stay fully ready to respond.' At the time of our interview, Urban was actively leading a staging exercise to ensure crews were rested, resourced and ready for the next potential impact. Behind every one of those crews is a network designed to be just as agile. Here is the technology these experts say ensures T-Mobile's network doesn't just recover in a crisis, but helps communities recover too. Self-Organizing Network (SON): A Smart, Self-Healing System Built for Immediate Response During an emergency, speed matters and so does smart infrastructure. That's where T-Mobile's Self-Organizing Network (SON) comes in. Powered by predictive data modeling and real-time AI, SON acts like a 24/7 brain for the network, constantly scanning for issues and responding on the fly. 'It's one of the most exciting evolutions I've seen in our emergency response,' says Nicole Hudnet, Emergency Response Team (ERT) Advisor, T-Mobile Business Group. 'During a tornado response in Texas, we were able to tilt antennas on a nearby tower remotely to improve connectivity and help first responders — no one had to be physically sent out, freeing them to respond to even more critical needs.' SON uses AI, machine learning and automation to reroute signals, dynamically shift antenna angles, optimize power usage and prevent congestion — all in real time. It's like GPS for cell signals, constantly recalculating the best path to keep coverage strong, even when parts of the network are down. 'If you think of the spectrum and capacity that we have here at T-Mobile, especially with 5G, it's perfect for the demands of technologies like AI,' Hudnet says. 'AI depends on vast data collection and rapid decision-making, and our network is built for it.' And when the power is out? SON keeps working smarter. 'We leverage advanced technologies, including AI, to optimize power usage at our cell sites — helping to extend battery life and maintain connectivity when it matters most,' says Urban. If a site is running on a smaller generator or backup battery, SON can automatically scale down non-critical usage and stretch that power to last longer — keeping people connected for as long as possible. SON's capabilities have already made a major impact. During Hurricanes Helene and Milton, the system executed over 5,000 automated adjustments and more than 121,000 antenna tilts to expand coverage in real time. And during the recent Southern California wildfires, it performed over 12,000 more, reinforcing signals near critical infrastructure and rescue zones. 'We can now see in real time how many customers are impacted in a given area and focus our recovery efforts exactly where they're needed,' says Rocky Leavitt, Senior Manager, T-Mobile's Field Technology Engineering Operations. T-Satellite with Starlink: Staying Connected Even When Towers Go Down When traditional cell service is not available, staying connected can feel impossible. That's why T-Mobile has introduced T-Satellite, America's first and only 'direct connect' satellite service that's changing the game for emergency response. Available to anyone enrolled in the beta program (even Verizon and AT&T customers), T-Satellite lets users send texts to 911 and SMS to loved ones with no setup, apps or extra hardware required on most modern smartphones. And anybody with a compatible device can receive wireless emergency alerts when traditional service is out of reach. Between the hurricanes and wildfires, T-Satellite helped deliver over 500,000 critical messages that wouldn't have gone through otherwise. 'It's 500,000 messages,' reflects Jon Freier, President, T-Mobile's Consumer Group, 'maybe to simply say 'I'm OK' to friends and family, or to plea for emergency relief in a life-or-death situation.' Leading the Future of Emergency Communication T-Priority is a cutting-edge 5G solution designed to transform frontline connectivity. It features a dedicated 5G network slice that directs network traffic to ensure first responder agencies get our best possible experience with up to five times the resources of the average user. And in rare times of extreme congestion, it can dynamically dedicate more capacity to first responders. During the California fires in January, the Un-carrier provided T-Priority to more than 350 Los Angeles Fire Department members to maintain mission-critical connectivity. The company is also helping modernize 911 systems nationwide through Next Generation 911 (NG911), which replaces slower, outdated voice systems with IP-based tech that can transmit voice, text, and real-time location data directly to call centers. T-Mobile is already routing over half of its 911 traffic through NG911, and 87% of call centers on its network now support Text-to-911 — giving people more ways to get help, especially when speaking isn't possible or safe. Connecting Communities in Crisis T-Mobile's disaster teams deploy assets to fill gaps where coverage is impacted by commercial power outages and damaged infrastructure, including emergency vehicles, mobile command centers, charging stations, Wi-Fi trailers and routers. Their work has helped small businesses run transactions and payroll, powered local grocery stores, kept hospitals and temporary medical tents connected to access patient records and supported recovery centers with connectivity and essential equipment during emergencies. During Hurricanes Helene and Milton and the Southern California fires, T-Mobile's teams visited more than 75 Red Cross shelters and other points of distribution, where they provided free Wi-Fi to approximately 21,000 people, regardless of carrier, who used a total of 12TB of data. Teams have also handed out more than 15,000 power packs with device charging equipment and other supplies. Dataminr: Preparedness Starts with Visibility and Innovation T-Mobile has integrated Dataminr's AI-driven alert system into its Everbridge Visual Command Center, enhancing teams' early visibility into threats like wildfires, severe weather and infrastructure risks. By scanning public data — from sensors to social media — Dataminr delivers real-time alerts that help T-Mobile respond faster. 'This kind of early intelligence is a game-changer,' says Urban. 'It lets us act quickly and adapt as conditions change.' Early detection means faster decisions — and better outcomes when lives and livelihoods are at stake. A Stronger, Smarter Network T-Mobile's resilient network relies on backhaul — the critical link between cell towers and the internet. To keep service running during disasters, the company uses a multilayered system: fiber, microwave and satellite connections. If one fails, the others step in. 'We've used these tools for years, but today's satellite tech is faster, smarter and far more capable,' says Stacy Tindell, Senior Director, T-Mobile's Network Engineering and Operations. This multilayered approach means fewer interruptions, faster recovery and a network that can flex and adapt even under extreme pressure. This is more than just innovation. It's transformation — designed to protect the people who rely on it most. T-Mobile is committed to strengthening its network and support systems to meet the growing challenges of extreme weather and natural disasters. Learn more at Visit 3BL Media to see more multimedia and stories from T-Mobile International AG

Vita Coco Company, Inc. (COCO) Registers a Bigger Fall Than the Market: Important Facts to Note
Vita Coco Company, Inc. (COCO) Registers a Bigger Fall Than the Market: Important Facts to Note

Yahoo

time2 hours ago

  • Yahoo

Vita Coco Company, Inc. (COCO) Registers a Bigger Fall Than the Market: Important Facts to Note

Vita Coco Company, Inc. (COCO) closed at $34.10 in the latest trading session, marking a -1.47% move from the prior day. The stock's performance was behind the S&P 500's daily loss of 0.53%. Elsewhere, the Dow lost 0.26%, while the tech-heavy Nasdaq lost 0.83%. The company's stock has dropped by 2.51% in the past month, falling short of the Consumer Staples sector's gain of 1.44% and the S&P 500's gain of 5.17%. The upcoming earnings release of Vita Coco Company, Inc. will be of great interest to investors. The company is forecasted to report an EPS of $0.38, showcasing a 18.75% upward movement from the corresponding quarter of the prior year. At the same time, our most recent consensus estimate is projecting a revenue of $163.07 million, reflecting a 13.15% rise from the equivalent quarter last year. COCO's full-year Zacks Consensus Estimates are calling for earnings of $1.15 per share and revenue of $582.16 million. These results would represent year-over-year changes of +7.48% and +12.82%, respectively. Investors should also pay attention to any latest changes in analyst estimates for Vita Coco Company, Inc. Recent revisions tend to reflect the latest near-term business trends. As such, positive estimate revisions reflect analyst optimism about the company's business and profitability. Based on our research, we believe these estimate revisions are directly related to near-team stock moves. We developed the Zacks Rank to capitalize on this phenomenon. Our system takes these estimate changes into account and delivers a clear, actionable rating model. The Zacks Rank system, which ranges from #1 (Strong Buy) to #5 (Strong Sell), has an impressive outside-audited track record of outperformance, with #1 stocks generating an average annual return of +25% since 1988. Over the past month, there's been no change in the Zacks Consensus EPS estimate. Right now, Vita Coco Company, Inc. possesses a Zacks Rank of #3 (Hold). From a valuation perspective, Vita Coco Company, Inc. is currently exchanging hands at a Forward P/E ratio of 30.18. This indicates a premium in contrast to its industry's Forward P/E of 19.63. One should further note that COCO currently holds a PEG ratio of 1.82. This popular metric is similar to the widely-known P/E ratio, with the difference being that the PEG ratio also takes into account the company's expected earnings growth rate. COCO's industry had an average PEG ratio of 2.55 as of yesterday's close. The Beverages - Soft drinks industry is part of the Consumer Staples sector. This industry, currently bearing a Zacks Industry Rank of 53, finds itself in the top 22% echelons of all 250+ industries. The Zacks Industry Rank gauges the strength of our individual industry groups by measuring the average Zacks Rank of the individual stocks within the groups. Our research shows that the top 50% rated industries outperform the bottom half by a factor of 2 to 1. To follow COCO in the coming trading sessions, be sure to utilize Want the latest recommendations from Zacks Investment Research? Today, you can download 7 Best Stocks for the Next 30 Days. Click to get this free report Vita Coco Company, Inc. (COCO) : Free Stock Analysis Report This article originally published on Zacks Investment Research ( Zacks Investment Research Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data

Unleashing Edge AI: A Catalyst for IoT Expansion and Smart Manufacturing
Unleashing Edge AI: A Catalyst for IoT Expansion and Smart Manufacturing

Yahoo

time2 hours ago

  • Yahoo

Unleashing Edge AI: A Catalyst for IoT Expansion and Smart Manufacturing

Growth in the global edge AI market is driven by advancements in IoT, real-time data processing, and 5G rollouts, enhancing its applications across industries like automotive and healthcare. Edge AI Dublin, June 06, 2025 (GLOBE NEWSWIRE) -- The "Edge AI Market Industry Trends and Global Forecasts to 2035: Distribution by Type of Component, Type of Device, Type of Data, Type of End User and Geographical Region" report has been added to offering. The global edge AI market size is estimated to grow from USD 24.05 billion in 2025, to USD 356.84 billion by 2035, at a CAGR of 27.7% during the forecast period to 2035. This growth is fueled by advancements across various segments such as component type, device type, data type, and end-user industry. Edge AI Market Growth and Trends The growing expansion of IoT devices has driven the demand for edge AI, as the combination of edge computing and artificial intelligence enhances computational abilities and brings processing closer to where IoT devices and sensors generate real-time insights. Enhanced privacy and security are crucial components of edge AI since it keeps sensitive data on the device, reduces the likelihood of data breaches, and safeguards privacy. Furthermore, the ongoing rollout of the 5G network is expanding the capabilities of edge AI by enabling real-time data processing on edge devices, which is essential for applications such as remote surgeries, augmented reality, and self-driving vehicles. In addition, the increasing application of edge AI in real-time computer vision tasks, including facial recognition, object detection, and quality inspection in manufacturing, is projected to boost the growth of the edge AI market. Overall, the significant adoption of edge AI across various industries, along with advancements in smart manufacturing and the rise of autonomous vehicles, are some of the primary factors that are likely to contribute in the overall growth of the edge AI market. Edge AI Market: Key Segments Component Type Breakdown: The market divides into hardware, software, and services. Currently, hardware, dominated by advanced chipsets, holds the largest share, crucial for the intensive computational tasks of edge AI. As IoT devices proliferate, the demand for robust hardware solutions escalates. Despite this, the software sector is forecasted to experience a higher CAGR, reflecting the rapid evolution of AI software solutions. Device Type Analysis: Edge AI's applicability spans edge servers, gateways, and devices, with devices like smartphones and IoT systems leading the charge. These devices' versatility supports their dominant market position, nurturing innovations from smart homes to autonomous vehicles. Notably, edge servers are expected to grow more swiftly in the coming years. Data Type Insights: The market processes both structured and unstructured data, with the latter currently capturing a larger market share. The increasing real-time demand for unstructured data, such as images and sensor data, positions it for accelerated growth in the future. Industry Vertical Impact: Widely adopted in automotive, energy, healthcare, and retail sectors, edge AI profoundly influences autonomous vehicles, enhancing real-time processing capabilities. Automotive and transportation currently lead the market due to these applications, although healthcare is anticipated to witness significant growth shortly, driven by the push for real-time data utilization in patient care. Regional Market Dynamics: North America presently dominates the edge AI market, attributed to technological maturity and the presence of key players. However, Asia is set to outpace other regions with the swiftest growth, driven by rapid industrialization and technology adoption. Sample Players in the Edge AI Market, Profiled in the Report Include: Alphabet Amazon Web Service Apple Arm Holding Cisco Dell Technology Edge Impulse Google Gorilla Technology Graphcore Horizon Robotics Huawei Technologies IBM Imagination Technologies Intel Microsoft NVIDIA Oracle Qualcomm Samsung Siemens Synaptics Texas Instruments Viso AI Xilinx Edge AI Market: Research Coverage The report on the edge AI market features insights on various sections, including: Market Sizing and Opportunity Analysis: An in-depth analysis of the edge AI market, focusing on key market segments, including type of component, type of device, type of data, type of end use and geographical regions. Competitive Landscape: A comprehensive analysis of the companies engaged in the Edge AI market, based on several relevant parameters, such as year of establishment, company size, location of headquarters, ownership structure. Company Profiles: Elaborate profiles of prominent players engaged in the Edge AI market, providing details on location of headquarters, company size, company mission, company footprint, management team, contact details, financial information, operating business segments, edge AI portfolio, moat analysis, recent developments, and an informed future outlook. SWOT Analysis: An insightful SWOT framework, highlighting the strengths, weaknesses, opportunities and threats in the domain. Additionally, it provides Harvey ball analysis, highlighting the relative impact of each SWOT parameter. Key Questions Answered in this Report How many companies are currently engaged in edge AI market? Which are the leading companies in this market? What factors are likely to influence the evolution of this market? What is the current and future market size? What is the CAGR of this market? How is the current and future market opportunity likely to be distributed across key market segments? Reasons to Buy this Report The report provides a comprehensive market analysis, offering detailed revenue projections of the overall market and its specific sub-segments. This information is valuable to both established market leaders and emerging entrants. Stakeholders can leverage the report to gain a deeper understanding of the competitive dynamics within the market. By analyzing the competitive landscape, businesses can make informed decisions to optimize their market positioning and develop effective go-to-market strategies. The report offers stakeholders a comprehensive overview of the market, including key drivers, barriers, opportunities, and challenges. This information empowers stakeholders to stay abreast of market trends and make data-driven decisions to capitalize on growth prospects. Additional Benefits Complimentary Excel Data Packs for all Analytical Modules in the Report 10% Free Content Customization Detailed Report Walkthrough Session with Research Team Key Topics Covered: 1. PREFACE 2. RESEARCH METHODOLOGY 3. ECONOMIC AND OTHER PROJECT SPECIFIC CONSIDERATIONS 4. MACRO-ECONOMIC INDICATORS 5. EXECUTIVE SUMMARY 6. INTRODUCTION6.1. Chapter Overview6.2. Overview of Edge AI Market6.3. Future Perspective 7. COMPETITIVE LANDSCAPE7.1. Chapter Overview7.2. Edge AI: Overall Market Landscape7.2.1. Analysis by Year of Establishment7.2.2. Analysis by Company Size7.2.3. Analysis by Location of Headquarters7.2.4. Analysis by Ownership Structure 8. COMPANY PROFILES Alphabet Amazon Web Service Apple Arm Holding Cisco Dell Technology Edge Impulse Google Gorilla Technology Graphcore Horizon Robotics Huawei Technologies IBM Imagination Technologies Intel Microsoft NVIDIA Oracle Qualcomm Samsung Siemens Synaptics Texas Instruments Viso AI Xilinx 9. VALUE CHAIN ANALYSIS 10. SWOT ANALYSIS 11. GLOBAL EDGE AI MARKET11.1. Chapter Overview11.2. Key Assumptions and Methodology11.3. Trends Disruption Impacting Market11.4. Global Edge AI Market, Historical Trends (Since 2019) and Forecasted Estimates (Till 2035)11.5. Multivariate Scenario Analysis11.6. Key Market Segmentations 12. MARKET OPPORTUNITIES BASED ON TYPE OF COMPONENT12.1. Chapter Overview12.2. Key Assumptions and Methodology12.3. Revenue Shift Analysis12.4. Market Movement Analysis12.5. Penetration-Growth (P-G) Matrix12.6. Edge AI Market for Hardware12.7. Edge AI Market for Software12.8. Edge AI Market for Services 13. MARKET OPPORTUNITIES BASED ON TYPE OF DEVICE13.1. Chapter Overview13.2. Key Assumptions and Methodology13.3. Revenue Shift Analysis13.4. Market Movement Analysis13.5. Penetration-Growth (P-G) Matrix13.6. Edge AI Market for Edge Servers13.7. Edge AI Market for Edge Gateways13.8. Edge AI Market for Edge Devices 14. MARKET OPPORTUNITIES BASED ON TYPE OF DATA14.1. Chapter Overview14.2. Key Assumptions and Methodology14.3. Revenue Shift Analysis14.4. Market Movement Analysis14.5. Penetration-Growth (P-G) Matrix14.6. Edge AI Market for Structured Data14.7. Edge AI Market for Unstructured Data 15. MARKET OPPORTUNITIES BASED ON TYPE OF END USER15.1. Chapter Overview15.2. Key Assumptions and Methodology15.3. Revenue Shift Analysis15.4. Market Movement Analysis15.5. Penetration-Growth (P-G) Matrix15.6. Edge AI Market for Automotive & Transportation15.7. Edge AI Market for Energy & Utilities15.8. Edge AI Market for Manufacturing15.9. Edge AI Market for Retail15.10. Edge AI Market for Others 16. MARKET OPPORTUNITIES FOR EDGE AI IN NORTH AMERICA 17. MARKET OPPORTUNITIES FOR EDGE AI IN EUROPE 18. MARKET OPPORTUNITIES FOR EDGE AI IN ASIA 19. MARKET OPPORTUNITIES FOR EDGE AI IN MIDDLE EAST AND NORTH AFRICA (MENA) 20. MARKET OPPORTUNITIES FOR EDGE AI IN LATIN AMERICA 21. MARKET OPPORTUNITIES FOR EDGE AI IN REST OF THE WORLD For more information about this report visit About is the world's leading source for international market research reports and market data. We provide you with the latest data on international and regional markets, key industries, the top companies, new products and the latest trends. Attachment Edge AI CONTACT: CONTACT: Laura Wood,Senior Press Manager press@ For E.S.T Office Hours Call 1-917-300-0470 For U.S./ CAN Toll Free Call 1-800-526-8630 For GMT Office Hours Call +353-1-416-8900

DOWNLOAD THE APP

Get Started Now: Download the App

Ready to dive into the world of global news and events? Download our app today from your preferred app store and start exploring.
app-storeplay-store