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INRIX: Remote and Hybrid Work Shift Can’t Curb Congestion

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New York City (101 hours) topped the 2023 Global Traffic Scorecard, followed by Mexico City and London.Americans lost an average of 42 hours to congestion, up 11% from 2022, costing $733 per driver.Midday trips in the U.S. have increased 23% compared to 2019, with nearly as many trips taken at 12:00 PM as there are at 5:00 PM.Trip analysis indicates 10:00 AM to 4:00 PM is the new ‘9-to-5.’The most congested road in America was Orlando’s I-4 Westbound from Beachline Expressway to Western Beltway, followed LA’s I-5, I-95 in Stamford, and New York’s I-278.

KIRKLAND, Wash., June 25, 2024 /PRNewswire/ — Today, INRIX, Inc., a global leader in transportation data and analytics, released the 2023 Global Traffic Scorecard that identified and ranked congestion and commuting trends in nearly 1,000 cities, across 37 countries. New York City once again topped the global ranking, followed by Mexico City and London. U.S. cities held two spots in the top five and four in the top 10.

“Traffic congestion is both a bane and a barometer of economic health; it symbolizes bustling activity yet simultaneously hampers it,” said Bob Pishue, transportation analyst at INRIX. “Reflecting on 2023 and early 2024, the surge in traffic congestion in urban areas indicated a revival of economic hubbub post-COVID, but it also led to billions of dollars in lost time for drivers.” Despite signs of recovery, though, some aspects of the pandemic are sticking around. Pishue continued, “Although congestion is returning to pre-COVID levels, we’re seeing interesting changes in congestion patterns due to the lingering effects of the pandemic. The continuation of hybrid and remote work is creating new travel peaks from what we’ve seen previously.”

America’s Gridlock is Worse Than Ever
New York City is followed by Chicago (96 hours) and Los Angeles (89 hours) as the most congested cities in the United States. This is New York City’s second year in the top spot, despite a 4% reduction in overall congestion. The typical U.S. driver lost 42 hours to traffic congestion and lost $733 worth of time, up nearly $100 from last year.

Table 1: 10 Most Congested Urban Areas in the U.S.

2023 US
Rank
(2022
Rank)

Urban Area

2023
Delay
(2022)

Compared
to
Pre-
COVID

2023
Cost per
Driver

2023
Cost
per
City

Downtown
Speed 
(mph)

Q1 2024
vs Q1
2023

1 (1)

New York City, NY

101 (105)

11 %

$1,762

$9.1 B

11

-11 %

2 (2)

Chicago, IL

96 (87)

18 %

$1,672

$6.1 B

11

-8 %

3 (3)

Los Angeles, CA

89 (78)

-4 %

$1,545

$8.3 B

19

-5 %

4 (4)

Boston, MA

88 (78)

-1 %

$1,543

$2.9 B

10

-10 %

5 (6)

Miami, FL

70 (66)

18 %

$1,219

$3.1 B

14

-1 %

6 (5)

Philadelphia, PA

69 (67)

2 %

$1,209

$2.9 B

11

-9 %

7 (8)

Washington, DC

63 (52)

-9 %

$1,095

$2.7 B

11

-4 %

8 (7)

Houston, TX

62 (55)

1 %

$1,082

$3.2 B

17

-1 %

9 (9)

Atlanta, GA

61 (51)

-3 %

$1,066

$2.6 B

16

-4 %

10 (12)

Seattle, WA

58 (46)

-11 %

$1,010

$1.6 B

17

-1 %

In addition to being the most congested urban area, New York City saw a staggering 13% increase in downtown trips in 2023 compared to 2022, followed by Atlanta, Philadelphia, and Washington D.C. (7%). Nine out of 10 of the United States’ largest metros saw a year-over-year increase in downtown trips. Trip analysis also revealed the traditional 9-to-5 workday has transformed into to a new 10-to-4 schedule. The shift in off-peak commuting and workday hours are likely fueled by the continued prevalence of remote and hybrid work.

A New Midday Rush Hour
The uptick in congestion comes alongside the emergence of a new phenomenon: the midday rush hour. As Graph 1 illustrates, morning hourly commute trips in 2023 were down about 12% compared to 2019 and the PM peak (3-6 PM) was down just 9%. However, average hourly traffic during the midday was up an astonishing 23%, a trend that has continued to remain since 2020.

Overall, the data shows that per hour, nearly the same number of trips start during the midday as the evening commute period, typically the most congested period of the day.

The Most Congested Corridors in the U.S.
Across the United States, traffic delays on the busiest corridors have generally improved since 2022. Notably, the highest peak delay in 2023 was 2.5 hours less than the peak delay in 2022. A striking example of changing patterns is the I-4 in Orlando, Florida, which surged from 10th place in 2022 to the top in 2023. During peak hours, drivers lost 31 minutes on the I-4 westbound, on par with Los Angeles’ notorious I-5 congestion.

In Stamford, Connecticut, the I-95 corridor demonstrated significant congestion in both directions, earning it the third and fourth spots on the list of most congested U.S. corridors. Northbound travelers on the 30-mile stretch of I-95 lost an average of 29 minutes daily, while those heading southbound faced a slightly lower but still substantial delay of 28 minutes each day.

Table 1: 10 Most Congested U.S. Roads in 2023

Rank

Urban Area

Road Name

From

To

Peak Hour

2023 Peak
Minutes
Lost

2023
Hours
Lost

1

Orlando, FL

I-4 W

Beachline Expy

Western Bltwy

5:00 PM

31

124

2

Los Angeles, CA

I-5 S

I-10

I-605

5:00 PM

31

122

3

Stamford, CT

I-95 N

Sherwood Isl Conn

Warren St

4:00 PM

29

116

4

Stamford, CT

I-95 S

Compo Road S

Indian Field Rd

8:00 AM

28

111

5

New York, NY

I-278 W

I-495

Tillary St

4:00 PM

21

82

6

Miami, FL

I-95 N

NW 46th St

NW 151st St

5:00 PM

20

82

7

Boston, MA

I-93 S

Zakim Bridge

Pilgrim’s Hwy

3:00 PM

20

81

8

Baton Rouge, LA

I-10 E

N Lobdell Hwy

I-12

4:00 PM

17

70

9

Stamford, CT

I-95 N

Indian Field Rd

Compo Road S

5:00 PM

17

68

10

Chicago, IL

I-94 E

I-290

I-57

4:00 PM

17

66

Congestion Climbs Worldwide
New York, Mexico City, London, Paris, and Chicago were the top five most congested urban areas in the Global Congestion Impact Ranking. Out of the top 100 ranked urban areas, 98 experienced more delay than in 2022, and in 71 areas, that delay grew by more than 10%. Just under half, however, have reached their 2019, pre-COVID level of delay.

Table 2: 10 Most Congested Cities in the World in 2023

 2023
 Impact
Rank 
(2022 Rank)

Urban Area

Country

2023 Delay
 per Driver
 (hours)

Change from
2022

Change
from Pre-
COVID

Downtown
Speed (mph)

Q1
2024
Change

1 (1)

New York City,
NY

USA

101

-4 %

11 %

11

-11 %

2 (4)

Mexico City

MEX

96

13 %

-11 %

12

-5 %

3 (2)

London

UK

99

2 %

3 %

10

-10 %

4 (3)

Paris

FRA

97

4 %

1 %

10

-3 %

5 (5)

Chicago IL

USA

96

10 %

18 %

11

-8 %

6 (6)

Istanbul

TUR

91

12 %

20 %

13

5 %

7 (7)

Los Angeles CA

USA

89

13 %

-4 %

19

-5 %

8 (8)

Boston MA

USA

88

14 %

-1 %

10

-10 %

9 (13)

Cape Town

ZAF

83

32 %

-10 %

12

7 %

10 (16)

Jakarta

IDN

65

33 %

-24 %

13

16 %

The Road to Combatting Congestion
Access to reliable data is the first step in tackling congestion. Applying big data to create intelligent transportation systems is key to solving urban mobility problems. INRIX data and analytics on mobility, traffic signals, parking and population movement help city planners and engineers make data-based decisions to prioritize spending to maximize benefits and reduce costs now and into the future.

The key findings of the INRIX 2023 Global Traffic Scorecard provide a quantifiable benchmark for governments and cities across the world to measure progress to improve urban mobility and track the impact of spending on smart city initiatives.

Please visit www.inrix.com/scorecard for:

Full 2023 Global Traffic Scorecard reportInteractive webpage with data and information for nearly 1,000 cities and 37 countriesComplete methodology

Notes to Editors:
Data Sources
INRIX aggregates anonymous data from diverse datasets – such as phones, cars, trucks and cities – that leads to robust and accurate insights. The data used in the 2023 Global Traffic Scorecard is the congested or uncongested status of every segment of road for every minute of the day, as used by millions of drivers around the world that rely on INRIX-based traffic services.

Data used to complete the 2023 Scorecard and Q1 Update spans more than 15 months. The Scorecard incorporated three years of historical data to provide a complete year-over-year comparison of congestion and mobility. A multi-year approach enables the identification of trends in the world’s largest urban areas and provides a basis for comparison.

Research Methodology
The 2023 Global Traffic Scorecard provides the most up-to-date methodology to better understand movement in urban areas across the world. The 2023 Scorecard continues to include travel delay comparisons, collision trends and last-mile speeds based on the unique commuting patterns within each metro area, yet the latest origin-and-destination patterns accommodate the latest commuting behavior shifts.

Commute times were calculated by looking exclusively at the time it takes to get to and from major employment centers within an urban area from surrounding commuting neighborhoods. Our newest methodology, updated for this Scorecard, more accurately estimates commute distance using actual, observed trips. In general, this has placed downward pressure on commuting delays versus prior Scorecards, as observed trips tended to be shorter than previously estimated.

These changes were run for the years 2019, 2022 and 2023, along with the Q1 Update provided in this document. Q1 update is a special update for this version of the Global Traffic Scorecard and measures the change in average peak period travel times between January-March 2024 and January-March 2023.
Economic costs are calculated based on the following hourly values of time, which were based on U.S. Federal Highway Administration’s Revised Departmental Guidance on Valuation of Travel Time for Economic Analysis, 2016.  Adjusted for inflation, the rates are the following: $17.45 per hour in the U.S., £9.12 per hour in the U.K. and 10.67 € per hour in Germany. Individual urban areas may have higher, or lower, values of time depending on local economic conditions.

The 2023 Scorecard values time lost by analyzing peak speed and free-flow speed data for the busiest commuting corridors and sub areas as identified by origin and destination patterns unique to that area. Total time lost is the difference in travel times experienced during the peak periods compared to free-flow conditions on a per driver basis. In other words, it is the difference between driving during commute hours versus driving at night with little traffic.

About INRIX
Founded in 2004, INRIX pioneered intelligent mobility solutions by transforming big data from connected devices and vehicles into mobility insights. For nearly two decades, INRIX has harnessed machine learning and artificial intelligence to deliver precise and actionable mobility data. This revolutionary approach enabled INRIX to become one of the leading providers of data and analytics into how people move. By empowering cities, businesses, and people with valuable insights, INRIX is helping to make the world smarter, safer, and greener. With partners and solutions spanning across the entire mobility ecosystem, INRIX is uniquely positioned at the intersection of technology and transportation – whether its keeping road users safe, improving traffic signal timing to reduce delay and greenhouse gasses, optimizing last-mile delivery, or helping uncover market insights. Learn more at INRIX.com.

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Axon Announces Body 5: Next-Generation Camera Built for the AI Era

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Axon Body 5 delivers 25x the AI processing power of earlier-generation cameras, with upgraded connectivity, audio and battery life to support real-time situational awareness in the field

SCOTTSDALE, Ariz., Oct. 24, 2026 /PRNewswire/ — Axon (Nasdaq: AXON), the global leader in public safety technology, today announced Axon Body 5, its newest body-worn camera designed to bring more powerful intelligence, connectivity and real-time support directly to officers in the field.

For years, Axon body cameras have helped agencies capture critical evidence and create greater transparency. Body 5 is built to help officers during the call, with information, assistance and backup on the spot.

“Officers shouldn’t have to choose between getting information and watching the scene. With Axon Body 5, they don’t,” said Rick Smith, Axon Founder and CEO. “They capture a license or document with the camera, keep their hands free and eyes up, and get information faster than writing it down and calling it in by radio. An officer fully engaged with the person in front of them, not down at a notepad, is a safer officer and a better-served community.”

Axon Body 5: Built for the AI Era

Built from the ground up for the AI era, Axon Body 5 delivers 25x the AI processing power than earlier generation Axon body cameras, alongside advancements in connectivity, audio, video and battery life. Together, these upgrades give the camera the physical power to run smarter AI features — both today and as new AI tools are developed in the future — while also making it more dependable for officers to use every day. 

For the first time, Axon is also introducing two versions of its latest flagship camera: Axon Body 5 and Axon Body 5 Pro.

Both models feature several key advancements, including:

25x more processing power for AI: A powerful new computing architecture creates the capacity to support current and future AI features directly on the body camera.Enhanced video: Improved video captures clearer evidence across challenging environments, including better low-light performance.Improved connectivity: Seamless connectivity in urban and remote environments – and more precise location capability – helps officers, cameras and remote support teams stay connected when timely information matters most.Longer battery life: 20% more battery life than the previous generation helps keep the camera ready and connected throughout an officer’s shift.

The Axon Body 5 Pro will continue to gain new AI capabilities as they become available, growing along with the AI Era Plan. Additionally, new hardware features include:

A near-focus camera: An additional dedicated camera lens lets officers scan driver’s licenses to check status and search for wants or warrants in seconds, without returning to the patrol vehicle, with relevant information sent to Axon Fusus to support real-time operations.Front-facing speakers: Four additional speakers project even more powerful audio toward the person an officer is speaking with, helping real-time translations from Axon Assistant carry more clearly over heavy traffic or crowd noise. Additional memory: Extra space lets the camera run several AI tools at once, helping officers stay better informed and work faster.

Bringing More of Axon’s AI Era Into the Field

Axon Body 5 helps officers get more out of the Axon AI Era Plan by bringing smart tools right to the scene. Axon’s portfolio already supports public safety professionals across a growing range of tasks. For example, Draft One helps officers turn body-camera audio into high-quality report drafts and Axon Assistant provides voice-based information access and real-time translation.

Increasingly, Axon is also bringing AI into real-time operations.

Axon Guardian is a new category of AI features within the AI Era Plan that was specifically created to work with an officer’s field-based devices – starting with body cameras and in-car cameras – to improve safety. Guardian is designed to flag potential risks as situations unfold and create alerts when additional attention may be needed. Two of the first features include:

Escalation Detection: When an Axon Body 4 or Axon Body 5 camera is activated and recording, Guardian has the ability to detect potential conflicts in real time and create an alert in Axon Fusus. A human reviews the livestream and decides if additional support or action is needed.Approach Alert: When active on Axon Fleet 3, Guardian can detect if the door of a stopped vehicle opens and alert the officer through the in-car display and their body-worn camera.

Combined, Axon Body 5 and the expanding AI Era portfolio demonstrate the importance of AI as a critical resource to assist public safety professionals before, during and after an incident — reducing administrative burden, improving situational awareness and helping protect more lives.

Innovating Responsibly

Axon’s Responsible Innovation framework guides the development of all of its products. Designed with this in mind, Axon Body 5 and Guardian prioritize human oversight and maintain agency control over data. As a key part of the responsible innovation process, Axon’s independent Ethics and Equity Advisory Council was created to help responsibly develop and deploy new technologies with transparency, while aligning with community expectations.

General availability dates for Axon Body 5 and Axon Guardian will be announced soon. Product features and capabilities vary by configuration. For more information on Axon’s current products and services: Axon Product Catalog – Axon.com.

About Axon
Axon (Nasdaq: AXON) is the global leader in public safety technology supporting state, local, federal and international public safety agencies with technology designed to Protect Life. Complementing its mission, Axon’s growing Enterprise market focuses on protecting critical infrastructure and frontline workers across multiple industries including corporate security, hospitality, retail and healthcare. Founder-led since 1993, Axon builds products with transparency and responsibility. From TASER energy devices to today’s connected network of hardware – including cameras, drones, and robotics – cloud software, sensors, and AI-tools, the Axon ecosystem helps seamlessly protect people and places when it matters most. To ensure these technologies align with community expectations, Axon’s independent Ethics & Equity Advisory Council guides the ethical, inclusive, and accountable design of its products and services. Learn more about the EEAC and Axon’s Responsible Innovation framework at Axon Responsibility. 

Non-Axon trademarks are the property of their respective owners. Axon, TASER and the Delta Logo are trademarks of Axon Enterprise, Inc., some of which are registered in the US and other countries. For more information, visit www.axon.com/legal. All rights reserved.

Please visit https://investor.axon.com and https://www.axon.com/newsroom for more information.

Media Contact:
Kate MacKinnon
Vice President, Communications
press@axon.com

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In HelloNation, Custom Fabrication Expert Mark Coyle Explains a Common Mistake in Custom Aluminum Design

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The article explains why smart geometry, not thicker walls, creates stronger, more efficient aluminum components.

ROCHESTER, N.Y., Oct. 24, 2026 /PRNewswire/ — What early design choice causes many custom aluminum projects to become heavier, costlier, or harder to manufacture? That question is addressed in a HelloNation article featuring insights from Custom Fabrication Expert Mark Coyle of American Custom Metals, Inc. in Rochester, New York, that outlines how misunderstanding aluminum behavior leads designers to rely on thick walls instead of stronger geometry.

The article begins by explaining that many people assume thicker walls automatically make aluminum parts stronger. It notes that aluminum does not respond to wall thickness the way steel does. Instead, its performance is shaped by how the metal flows through the extrusion die. The article states that custom aluminum design is more effective when profiles use ribs, chambers, and flanges to create stiffness without adding unnecessary weight. This guidance helps readers understand why adding material often increases cost without improving strength.

The article also highlights that thicker walls change how aluminum moves during extrusion. When heavy areas fill more slowly, the metal cools unevenly and can develop stress that only appears later. The HelloNation piece explains that well-balanced geometry keeps extrusion smooth and predictable. This consistency makes it easier to maintain dimensional accuracy across long production runs. By focusing on geometry, custom aluminum design avoids the problems that come with slow extrusion speeds and uneven cooling.

Another insight in the article centers on how ribs and internal supports influence stability. It describes how a thin wall supported by a properly placed rib often performs better than a thick wall with no reinforcement. This happens because the rib helps distribute load, improve stiffness, and guide the aluminum as it cools. The article explains that this structural approach makes custom aluminum design more efficient and gives designers more control over how the final part behaves under pressure.

The article also shows why early collaboration between designer and fabricator prevents costly changes. It states that a fabricator familiar with extrusion can catch potential issues before a die is built. Small adjustments to corners or transitions can remove weak points or improve metal flow. The article notes that this teamwork keeps the design aligned with real-world production. By working together early, both sides reduce the risk of redesigning the die after the first test run.

Machining is another area where the article explains how wall thickness affects performance. Features such as deep pockets or sharp internal angles may require slow feed rates or special tooling. When walls are thicker than needed, those areas can become difficult to machine cleanly. The article states that thoughtful custom aluminum design makes machining more predictable. Small changes, such as adding radiused edges or sizing features to match standard tools, help shorten cycle times and prevent tool wear.

Thermal behavior receives detailed attention as well. The article explains that aluminum retains heat differently depending on the mass of each section. Thicker walls hold heat longer, which increases the chance of distortion during extrusion, machining, or finishing. When a design uses geometry to create strength, the material cools more evenly. This reduces warping and helps long profiles stay aligned. The article notes that stable cooling is important for components that require a precise fit and consistent shape throughout an entire production run.

Cost is also a key topic in the article. It states that heavier profiles increase material use, extrusion time, and tooling needs. A custom aluminum design that relies on geometry instead of mass lowers material consumption and keeps the fabrication process efficient. The article explains that lighter parts are easier to handle, ship, and assemble. This saves money across multiple stages of production and supports long-term manufacturing efficiency.

The article also notes that smart custom aluminum design creates profiles that behave predictably during extrusion and machining. Smooth transitions, balanced wall dimensions, and structural features help reduce the chance of distortion or dimensional drift. These elements also lower scrap rates and support reliable performance. By using geometry instead of excess material, designers build parts that maintain strength without compromising manufacturability.

As the article concludes, it emphasizes that avoiding thick walls is one of the best ways to improve performance and lower cost. It states that the most dependable custom aluminum components come from designs that use structural features to strengthen the profile. When designers understand how aluminum behaves at each stage of extrusion and machining, they create parts that are strong, efficient, and consistent from batch to batch. This approach turns custom aluminum design into a predictable process rather than a series of uncertain adjustments.

A Common Mistake in Custom Aluminum Design features insights from Mark Coyle, Custom Fabrication Expert of Rochester, NY, in HelloNation.

About HelloNation
HelloNation is America’s Good News Network, a premier media platform built on the idea that good news travels faster when real people tell real stories. Through its community-focused publications and innovative “edvertising” approach, HelloNation delivers content that informs, inspires, and spotlights the leaders making a meaningful impact in their communities.

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World Young Scientist Summit 2026 Opens in Wenzhou, Zhejiang

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WENZHOU, China, Oct. 24, 2026 /PRNewswire/ — This is a report by China Daily:

On October 24, the World Young Scientist Summit 2026 opened in Wenzhou, Zhejiang. The event is hosted by the China Association for Science and Technology (CAST), the Zhejiang Provincial People’s Government, and the World Association of Young Scientists. Nearly 800 representatives, including scientists, educators, and entrepreneurs from more than 60 countries and regions, are attending the summit.

He Junke, Vice President of CAST in charge of daily work and First Secretary of its Secretariat; Lian Yimin, Chairman and Party Group Secretary of the Zhejiang Provincial Committee of the Chinese People’s Political Consultative Conference; Marcelo Knobel, Executive Director of The World Academy of Sciences; and Zhang Zhenfeng, Member of the Standing Committee of the CPC Zhejiang Provincial Committee and Secretary of the CPC Wenzhou Municipal Committee, attended the summit and delivered remarks. Yao Gaoyuan, Vice Governor of the Zhejiang Provincial People’s Government, presided over the first segment of the plenary session.

With the theme “Gathering Talents Worldwide to Create a Better Future,” the summit’s annual agenda is “Global Youth Action in the AI Era: Building a Sustainable Future.” It aims to draw on the insights of young people around the world, deepen international sci-tech cooperation, and jointly address questions about young people, science, the world and the future.

Efim Zelmanov, Fields Medalist and Foreign Member of the Chinese Academy of Sciences; Chen Yunji, Deputy Director of the Institute of Computing Technology, CAS, and Director of the National Key Laboratory of Processor Chips; Mary Garson, President of the International Union of Pure and Applied Chemistry; and Lu Chaoyang, Member of the Standing Committee of CAST, Executive Dean of the Shanghai Institute of Advanced Study, University of Science and Technology of China, and Chairman of the Council of the World Association of Young Scientists, delivered keynote speeches respectively on education reform in the AI era, AI and processor chips, young women scientists’ participation in science, and quantum computing. They explored new opportunities for scientific research, talent cultivation, and international cooperation in the AI era.

This year’s summit placed greater emphasis on the growth needs of young scientists, with young talents under the age of 45 accounting for 88 percent of participants. It aimed to build a cluster of international journals, bring together young scientific talent, facilitate a batch of international collaborative projects and advance the application and commercialization of scientific and technological achievements. The summit released the Report on the Distribution and Mobility of Young Scientists in the Field of Embodied Intelligence, launched the World Young Scientist Summit Partner Journal Program and the 2026 World Young Scientist Innovation and Entrepreneurship Growth Support Program. It also published the “Young Scientist Pioneers 2035” list and announced the 2026 Sustainable Development Young Scientist Award. The awards were presented to four Chinese and foreign scientists.

Chen Tianrun, Founder of Hangzhou Moxin Technology Co., Ltd.; Yuan Yang, Assistant to the Dean of the Institute for Interdisciplinary Information Sciences at Tsinghua University; and two of the 2026 Sustainable Development Young Scientist Award winners, César de la Fuente and Nicola Segata, among other Chinese and foreign young scientist representatives, spoke at the flash-talk session to share their research practices and reflections.

In addition, the conference focused on fields such as future manufacturing, quantum information, embodied intelligence, brain-computer intelligence, environmental science, deep-sea resources, and life and health, and held 12 parallel forums. It also included the “Gravitation π” Future Technology and Concept Products Exhibition and Exchange, local thematic side events, and sci-tech and humanities study visits, further building an interdisciplinary, cross-regional and cross-sector platform for youth sci-tech exchange and cooperation.

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