Artificial Intelligence

Inceptio-Powered Autonomous Trucks Surpass 100 Million Kilometers in Safe Commercial Operations

Published

2 weeks ago

May 9, 2024

Major Milestone Advances Autonomous Heavy-Duty Truck Commercialization
SHANGHAI, May 9, 2024 /PRNewswire/ — Inceptio Technology (“Inceptio,” or the “Company”), an industry leading developer of autonomous driving technologies for heavy-duty trucks, today announced that heavy-duty trucks powered by the Inceptio Autonomous Driving System and its Truck Navigate-on-Autopilot (T-NOA) capabilities have surpassed the significant milestone of 100 million kilometers in safe commercial operations, reinforcing Inceptio’s global leadership in the commercialization of autonomous trucks.

This achievement underscores how L3 and L2+ autonomous heavy-duty trucks have been successfully deployed across the line-haul logistics sector, including express delivery, less-than-truckload (LTL) transportation, as well as contract logistics. This also reflects the significant value that autonomous trucks offer logistics operators.
Accelerating the Adoption of Autonomous Trucks Across the Line-Haul Logistics Sector
Inceptio-powered trucks surpassed 50 million kilometers of safe commercial operations in August 2023. Building on this success, Inceptio rapidly expanded the number of compatible truck models and surpassed the 100-million-kilometer mark by the end of April 2024.
Inceptio’s Autonomous Driving System covers 83% of China’s national highways connecting 7 major economic zones. Over the course of the 100 million kilometers, a total of 1,864 drivers safely used Inceptio-powered L3 and L2+ trucks in their daily operations.
Current customers include all the top logistics companies in China such as ZTO Express (NYSE: ZTO and HKEX: 2057), YTO Express (HKEX: 6123), STO Express (SZSE: 002468), JD Logistics (HKEX: 2618), and SF Express (SHE: 002352). Inceptio has also established an extensive footprint across the contract logistics segment including cold chain, automotive, beverages, and fast-moving consumer goods among many others, serving global brands like Budweiser and Nestlé. Inceptio’s autonomous driving technology caters to a diverse user base—from big logistics companies to small fleets and individual operators.
Inceptio has partnered with several leading Chinese truck manufacturers to pre-load mass produced trucks with the Inceptio Autonomous Driving System. These partnerships have expanded the number of trucks Inceptio powers and include popular models from Dongfeng, Sinotruk, Foton and Liuqi that are available in both 4×2 and 6×4 axle configurations to meet the diverse needs of the line-haul logistics sector.
Paving the Way for Greater Commercialization with Safer, More Efficient, and Profitable Operations
Over the course of 100 million kilometers, Inceptio has demonstrated how its autonomous driving technology and its T-NOA capabilities are paving the way for greater commercial deployment across the line-haul logistics with safer, more efficient, and profitable operations.
The majority of the routes large express delivery companies in China use exceed 500 kilometers in length. Two drivers are commonly assigned to each traditional truck on these routes and take shifts driving in order to minimize fatigue and ensure safety when meeting tight shipping schedules. Inceptio’s solution makes driving much less physically and mentally exhausting as it handles more than 90% of the journey. Express delivery companies have been able to significantly reduce the number of drivers per truck and labor costs on these same routes as a result. On routes ranging from 500 to 1,200 kilometers, Inceptio has realized a direct shift from two drivers per truck to one, resulting in a significant 40% to 50% reduction in labor costs. On routes that exceed 1,200 kilometers where an autonomous truck relay model has been deployed, a traditional assignment of 6-8 drivers per three trucks has been reduced to 5. Likewise, a traditional assignment of 8-10 drivers per 4 trucks has been reduced to 6, resulting in a substantial decrease in labor costs and improved driver satisfaction.
The benefits are equally strong for contract logistic companies, both large and small. Huatai Logistics for example, a contract logistics company specializing in automotive parts transport on routes that average 1,500 kilometers, has seen its driver-to-truck ratio decrease from two to one by using Inceptio-powered trucks. Combined with a reduction of 3-5 liters in fuel consumption per 100 kilometers, total cost of ownership per kilometer decreased by 7-15%. The stellar safety record and enhanced driving comfort offered by autonomous trucks improved fleet-attendance rates significantly and increased monthly kilometers per truck by as much as 10%.
Some individual operators have also seen increases of 10-20% in monthly kilometers per truck and 2,500-5,500 RMB in monthly net income due to the fundamental improvement of safety and driving comfort offered by Inceptio-powered autonomous trucks. The fuel-saving benefits of autonomous trucks are particularly attractive for individual operators.
Leveraging Data Assets to Enhance Inceptio’s Autonomous Driving Technology
Inceptio leverages its powerful, data-driven R&D system to rapidly iterate and enhance its autonomous driving technology. This system, which incorporates accurate and efficient data capturing, automated cloud processing, advanced scenario mining, and automatic annotation, allows Inceptio to continuously refine its industry-leading T-NOA algorithm in real-time. This focus on real-world data is a key driver of Inceptio’s competitive edge in the autonomous driving technology landscape.
Julian Ma, founder and CEO of Inceptio Technology, commented, “Inceptio’s autonomous driving technology and its T-NOA capabilities are making significant progress in their commercialization, allowing us to rapidly surpass the 100-million-kilometer milestone after hitting 50 million kilometers only eight months ago. The impact our technology is having on the logistics industry is profound. The commercial deployment of Inceptio-powered autonomous trucks across the line-haul logistics sector is exciting, but what’s truly inspiring is the creativity and innovation our customers bring to the table. This user-driven approach is pushing the boundaries of how these autonomous trucks are used, opening up new ways to deploy our technology. The more data we gather, the faster we will be able to enhance our algorithms and improve our full-stack solution. We will continue working closely with our truck OEM partners to offer even greater safety, efficiency, and profitability to logistics customers.”
About Inceptio Technology
Inceptio Technology is an industry leading developer of autonomous driving technologies for heavy-duty trucks. Its flagship technology is the Inceptio Autonomous Driving System, a proprietary full-stack solution. Inceptio partnered with leading OEMs to roll out the industry’s first mass-produced L3 autonomous trucks in late 2021. These trucks are operated nationwide in China by customers across the line-haul logistics sector including express delivery, less-than-truckload (LTL) transportation, and contract logistics. Inceptio is at the cutting edge of developing fully driverless trucks. In 2022 it became the first company in China to receive a public road-testing permit for driverless autonomous heavy-duty trucks.
For more information on Inceptio Technology, visit https://en.inceptio.ai/

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Artificial Intelligence

Compact Solutions, Mighty Results: Cervoz Unleashes the Power of Edge Computing

Published

1 hour ago

May 20, 2024

CISION (PR Newswire)

compact-solutions,-mighty-results:-cervoz-unleashes-the-power-of-edge-computing

TAIPEI, May 20, 2024 /PRNewswire/ — Cervoz Technology, a leader in industrial-grade storage, memory, and expansion solutions, is powering the evolution of edge computing with its innovative solutions.

In today’s data-rich landscape, businesses rely on insights from IoT devices. With advancements in AI and 5G, data volumes surge, straining traditional cloud computing with bandwidth and latency issues. Edge Computing emerges as a solution, processing data at its source for real-time insights crucial for applications like digital twins, autonomous vehicles, and smart healthcare.
What is Edge Computing?
Edge Computing is a decentralized IT architecture that processes data near its origin, often at the network’s edge. This approach divides tasks from central data centers to edge devices and nodes. It enables faster, deeper insights and enhances responsiveness, improving speed and reducing latency compared to centralized clouds. Typically, an Edge Computing system comprises three layers: device, edge, and cloud.
The Device Layer
The device layer, situated closest to the physical world, comprises endpoint devices such as sensors, controllers, and cameras, among others. The layer prioritizes data collection and initial processing for real-time response and efficiency. It requires highly reliable, compact, and energy-efficient components. Cervoz’s M.2 2230 (A+E key /B+M key) NVMe SSDs and DDR4 SO-DIMM modules optimize this setup with fast data access and efficient storage in space-saving designs. They operate reliably across a wide temperature range (-40°C to 85°C) and feature additional conformal coating and anti-vibration filling for enhanced performance in harsh environments.
The Edge Layer
The edge layer, composed of edge servers and gateways, serves as a crucial link between device-layer data sources and cloud-based operations. It is designed for extensive data handling, filtering, and analytics, emphasizing quick operations and real-time responses to minimize reliance on remote data centers. For optimal performance, components must manage high processing loads with minimal latency and maximum stability. NVMe SSDs boasting PCIe Gen3 or higher, such as the Cervoz NVMe PCIe Gen3x4 SSD, with compact M.2 form factors, advanced DRAM cache buffer, and LDPC ECC technology, are perfectly suited for the edge layer. These SSDs enable efficient directory and error correction during high-speed data transfers, thus enhancing data accuracy and reliability.
The Cloud Layer
The cloud layer requires intensive processing and long-term storage, performing analytics, operating AI and machine learning, and managing extensive data systems across various edge locations. It demands high-performing and reliable components. Cervoz NVMe PCIe Gen4x4 SSDs excel with Read/Write speeds of up to 7,100/6,190 MB/s and 4K random IOPS up to 1,000K, with aluminum heatsinks and thermal throttling for overheating issues. DDR5-5600 DRAM boosts this setup with high data throughput and efficient power use, satisfying rigorous computational needs.
Interlayer Connectivity
Reliable, low-latency network connectivity is crucial as data flows between the device layer, edge, and cloud. Cervoz 10GbE Low-Profile Ethernet Card provides high-speed, stable wired connections in high-bandwidth, low-latency environments. Additionally, the new PCIe Compact Low-Profile Ethernet Card is ideal for narrow edge device enclosures. For areas where wiring is impractical, M.2 Wi-Fi cards offer essential wireless flexibility. These connectivity options ensure a solid foundation for seamless data management across all layers.
Cervoz offers comprehensive solutions to enhance edge computing capabilities. From compact NVMe SSDs and DRAM modules, to advanced modular expansion cards, enabling seamless integration, optimized performance, and unmatched reliability in edge computing deployments.
About Cervoz
Based in Taiwan, Cervoz Technology boasts almost twenty years of expertise in developing and providing industrial-grade storage, memory, and expansion solutions across a myriad of global industrial sectors.
ContactsSales: [email protected]
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Artificial Intelligence

Team Exponentia.ai UK attended the AWS summit in London

Published

1 hour ago

May 20, 2024

CISION (PR Newswire)

Team Exponentia.ai UK celebrates Sanjay Kumar’s insightful session at the AWS summit in London
LONDON, May 20, 2024 /PRNewswire/ — Sanjay Kumar, Head of Exponentia.ai in UK & Europe, delivered an impactful presentation on Driving Manufacturing Innovation through AWS Analytics & AI. The recently concluded AWS Summit took place on the 24th of April in ExCeL, London.

Sanjay shared the stage at Theatre B with Adrian Pinder from DS Smith and Ahmed Raafat from AWS, captivating the audience with insights and experiences from Exponentia.ai’s collaboration with DS Smith.
During the session, Sanjay Kumar highlighted Exponentia.ai’s impressive use cases and case studies, including the Data Factory and Procurement Spend Analytics (PSA) projects undertaken in partnership with DS Smith. These initiatives demonstrated Exponentia.ai’s commitment to leveraging the AWS ecosystem to drive operational efficiency and business growth in the manufacturing sector.
The Exponentia.ai team seized the opportunity to engage with industry peers, partners, and friends, while also exploring the latest innovations showcased at the summit. Their participation in various sessions and visits to innovative booths further enriched their understanding of industry trends and best practices.
Reflecting on the event, Sanjay Kumar expressed his enthusiasm, stating, “The AWS Summit in London provided an excellent platform for us to showcase our expertise in manufacturing analytics and AI. The overwhelming response from attendees reaffirms the value of our solutions in driving innovation and transformation across industries and our commitment to deliver value to our customers through data. We look forward to continuing our collaboration with AWS and our partners to deliver impactful outcomes for our clients.”
The AWS Summit London 2024 marked a significant milestone for Exponentia.ai, reinstating its commitment to excellence and innovation in the field of AI and analytics. As the team eagerly anticipates future events, they remain dedicated to empowering businesses with transformative technology solutions.
For more information about Exponentia.ai and its innovative offerings, please visit www.exponentia.ai.
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Artificial Intelligence

Clarivate Launches AI-Enhanced Solution to Accelerate Trademark Watching

Published

1 hour ago

May 20, 2024

CISION (PR Newswire)

Providing faster and more accurate answers to critical business questions
LONDON, May 20, 2024 /PRNewswire/ — Clarivate Plc (NYSE: CLVT), a leading global provider of transformative intelligence, launched the first publicly available version of Trademark Watch Analyzer today at the 2024 International Trademark Association Annual Meeting. As the next-generation trademark protection solution enhanced by artificial intelligence (AI) and cloud technology, this solution combines Clarivate global trademark and case law data, in-house IP expertise, and cutting-edge AI technology. It will provide faster and more accurate answers to critical business questions by automating key trademark watching tasks and intelligently prioritizing result sets.

Trademark Watch Analyzer connects users to trademark datasets in 258 countries and territories across 191 official trademark registers, as well as data from 7+ million trademark litigation cases. This content is harmonized and connected through AI algorithms which query, connect and mine both datasets delivering advanced insights in supported watch products. This revolutionizes the way trademark watch results are delivered, so that clients can rank results based on their chance of success/opposition.
According to data from SAEGIS®, a CompuMark™ trademark solution from Clarivate, the number of trademark applications filed globally each year has more than doubled since 2014. With over one million new trademarks added to trademark registers around the world each month, the risk of infringement has never been greater, making vigilance of trademark applications essential to protect and grow strong brands.
Gordon Samson, President, Intellectual Property, Clarivate, said: “As the global business landscape grows more complex, trademark professionals are faced with challenges including more data, less context and shorter deadlines. Our advanced AI-driven solution enables clients to confidently monitor their trademarks anywhere in the world, with global monitoring and automated alerts, while also saving time, costs and critical resources. The launch of the Trademark Watch Analyzer is the latest example of our Think forward™ promise — connecting clients to trusted intelligence to ensure an IP-empowered tomorrow.”
With a more intuitive design and user interface, Trademark Watch Analyzer will enable clients to have a much-improved user experience as they work with their results. The navigation will be based on the same architecture as the Brand Landscape Analyzer launched in 2023, providing clients with a more cohesive experience within the Clarivate product suite.
Find out more about Trademark Watch Analyzer here.
About ClarivateClarivate™ is a leading global provider of transformative intelligence. We offer enriched data, insights & analytics, workflow solutions and expert services in the areas of Academia & Government, Intellectual Property and Life Sciences & Healthcare. For more information, please visit www.clarivate.com
Media Contact: Jack Wan, External Communications Director [email protected]
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