TuSimple Automates Nation's First Trucking Lane in Arizona, Will Haul Driver Out Freight for Union Pacific Railroad

TuSimple Holdings, Inc. | February 04, 2022

TuSimple (Nasdaq: TSP), a global autonomous driving technology company, today announced that Union Pacific Railroad, the largest Class I railroad in the U.S., will become the first customer to move freight on TuSimple's fully-automated trucking route between the Tucson and Phoenix, Arizona metro areas. Union Pacific is leveraging Loup Logistics (Loup), a wholly-owned subsidiary, to coordinate the freight shipment and support seamless movement between rail and the critical first and last mile. Starting this spring, TuSimple plans to carry Driver Out freight for Union Pacific, utilizing groundbreaking AV (autonomous vehicle) technology to deliver goods to their destination faster and more cost-effectively.

Partnering with TuSimple allows us to extend our operations beyond our rail hubs and serve our customers faster and more efficiently, This groundbreaking autonomous driving technology and our partnership provide us a significant opportunity to scale the technology in our network, proactively reducing global supply chain congestion."

Kenny Rocker, Executive Vice President – Marketing & Sales, Union Pacific.

Building on its accomplishment of the world's first Driver Out semi-truck run on December 22, 2021, TuSimple is today reporting an additional six successful fully autonomous runs. The seven total runs covered over 550 cumulative miles on open public roads without a human in the vehicle, without any teleoperation, and without any traffic intervention. Runs were conducted in various roadway conditions, including dense early-evening traffic and "back-to-back" runs on the same night.

Going forward, TuSimple plans to continue its 'Driver Out' program and progressively expand its scope to incorporate daytime runs and new routes while making regular improvements to its proprietary AV technology. By the end of 2023, TuSimple plans to achieve commercial viability by initiating continuous 'Driver Out' paid freight operations in a significant shipping area such as the 'Texas Triangle.'

Our repeatable and scalable 'Driver Out' operations marks a significant inflection point in our company's history. We are the world's first to complete all of the features of AV trucking technology, We are proud of our on-time delivery of this historic milestone and are excited to shift our full focus to commercializing our ground-breaking technology on an accelerated timeline."

Cheng Lu, President, and CEO, TuSimple.

TuSimple continues to advance autonomous freight lanes across the sunbelt, making the movement of freight safe, fast, and efficient. To scale its operations in preparation for a nationwide expansion, the company recently provided technical specifications to commercial real-estate developers to prepare for future autonomous trucking operations, including a million square foot state-of-the-art facility within a 27,000-square-acre development as part of the AllianceTexas.

To date, TuSimple has over 11,000 unique mapped miles in its Autonomous Freight Network and plans to continue to scale its operations to support its distribution partners.

About Union Pacific
Union Pacific (NYSE: UNP) delivers the goods families and businesses use every day with safe, reliable, and efficient service. Operating in 23 western states, the company connects its customers and communities to the global economy. Trains are the most environmentally responsible way to move freight, helping Union Pacific protect future generations.

About TuSimple
TuSimple is a global autonomous driving technology company, headquartered in San Diego, California, with operations in Arizona, Texas, Europe, and China. Founded in 2015, TuSimple is developing a commercial-ready, fully autonomous (SAE Level 4) driving solution for long-haul heavy-duty trucks. TuSimple aims to transform the $4 trillion global truck freight industry through the company's leading AI technology, which makes it possible for trucks to see 1,000 meters away, operate nearly continuously, and reduce fuel consumption by 10%+ relative to manually driven trucks.


The COVID-19 outbreak in 2020 was the most significant disruption ever encountered by the aerospace industry. Nations locked down, flights were cancelled and aircraft were parked and stored. The exceptional scope and speed of the
pandemic affected each industry segment: airline, MRO, OEM, vendor and lessor. Even before this unprecedented turbulence,the sector showed signs of distress. Today, the need for change has become a crucialprerequisite for supporting sustainable

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Real-Time Bus Marketplace CharterUP Launches Corporate Shuttle Service

CharterUP | November 16, 2022

CharterUP, the first fully integrated charter bus marketplace for corporations, consumers and operators, announced today the national rollout of Corporate Shuttles, a new platform for booking and managing day-to-day employee transportation.Corporate Shuttles provides enterprise clients nationwide access to over 500 operating partners on the company’s proprietary, fully integrated technology platform. CharterUP’s tech-enabled white label mobile app allows Fortune 500 corporations to monitor in-depth ridership data, live trip tracking and more, while employees can check available shuttle times, pickup locations, request rides and track shuttles in real-time from their personal mobile device. “Whether it’s daily employee pickup and dropoff, recurring off-site meeting transport or routine shuttles between offices, there is a massive need for safe, reliable and dependable movement of employee talent across this country, The Corporate Shuttle program allows enterprise customers the ability to conveniently move their teams safely, on-time, within budget and at scale via our national network of charter bus operators.” -Armir Harris, founder and CEO of CharterUP. Companies currently engaging CharterUP to manage their daily corporate shuttle needs include Hilton, Hyatt, Sysco, H-E-B, Texas Instruments and more. "It's imperative for our team to have safe, yet dependable ways to move our employees to and from various hotel sites. Hyatt Regency Lake Tahoe relies on CharterUP's custom transportation solution to shuttle employees to multiple locations,” “CharterUP's technology platform optimizes shuttle routes to reduce the number of vehicles needed to service our needs which reduces transportation costs, and ultimately ensures our employees’ needs are taken care of.” -Colin Miller, Colleague Experience Manager at Hyatt Regency Lake Tahoe Resort Since its founding in 2018, CharterUP has experienced over 100% annual growth and recently surpassed an annual revenue run rate of $150 million in 2022. In October, the company announced it raised a $60 million Series A led by Tritium Partners, an investment firm specializing in online marketplaces, logistics and software companies with exceptional growth potential. Leveraging technology to disrupt the massive and highly fragmented $15 billion domestic charter bus industry, CharterUP provides real-time data on all charter services, featuring quotes for custom itineraries, embedded payment capabilities, live trip tracking and more. About CharterUP CharterUP is the first fully integrated marketplace for bus charters in the U.S. Built for corporations, individual users and operators, its platform removes the friction from reserving private group transportation by instantly connecting bookers to a virtual fleet of local bus operators. Its platform features a suite of capabilities that includes instant booking, real-time availability & tracking, and dynamic pricing, via self-serve technology. Combined with its growing virtual fleet of over 3,000 fully integrated charters, CharterUP delivers unmatched accessibility, accountability and transparency never seen before in the charter bus space. Founded by long-time charter bus entrepreneur Armir Harris in 2018, CharterUP is headquartered in Atlanta and works with operators in dozens of local markets throughout the country. For more information, visit

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EarlyBirds Brings Innovation for Supply Chain Integration, Resilience and Sustainability

EarlyBirds | December 22, 2022

EarlyBirds, has developed an open innovation ecosystem platform with services that brings together innovators, early adopters, and subject matter experts (SMEs) to come up with ways to hasten technology advancement and adoption in an organisation, wants to help businesses bring the latest innovations for supply chain networks. This is vital because Gartner has recently pointed out the growing need for more resilient, integrated, and sustainable supply chain networks. All Chief Supply Chain Officers (CSCOs) have to contend with one major issue in the upcoming years. This is overcoming and managing macro changes in the supply chain networks, whether it is geopolitical instability, increased e-commerce, or increased digitalization and automation needs. Technological innovations are therefore essential for supply chains to navigate those changes while keeping their economic viability and meeting purpose-driven goals. Organisations need to become early adopters of the appropriate technologies and EarlyBirds can helpMany industries are besieged by supply chain challenges that surfaced during the lock downs throughout the world because of the Covid-19 pandemic. The situation has deteriorated due to the impact of the war in Ukraine. To overcome these problems and remain viable, organisations need to boost their resilience in any way possible. This means finding ways to minimise the impact of the volatile market pricing of commodities, including developing protective measures for their supply chains to deal with increasing logistical costs and shortages. It is vital for companies to map out the entire supply chains and examine their exposure to supply and inflation risks. In this manner, they would be able to find ways to alleviate the risks, such as becoming more self-reliant and looking for alternative suppliers. As a result, supply chains are expected to become more complex and more dispersed in various parts of the world. With this trend, in the near future, it is expected that supply chains will rely on various technological innovations, such as cloud computing, big data, Robotic Process Automation (RPA), Artificial Intelligence (AI), and the Internet of Things (IoT) to comply with future demand. Big data in logistics is still quite new but it serves as the foundation for AI, RPA, and cloud computing in becoming more effective and accurate by simplifying tasks and then relegating them to automated systems. Currently, most organisations do not have the knowledge and tools to explore and apply big data to their supply chains but with technological developments, these are expected to become more accessible in the future. That is why innovators play an important role in the EarlyBirds platform and services, by providing innovations that companies need for improving their supply chains. EarlyBirds can serve as the ideal partner for all kinds of organisations with their supply chain networks ranging from their strategic innovation programs and the development of solutions for immediate technical and business challenges. EarlyBirds offers unique and proven abilities to determine the innovation needs for businesses and offer options across all kinds of industries. They can help in the establishment of innovation maps based on a technical or business theme linking the desired strategic innovation results to the organisation’s response to the continuously changing industry. About EarlyBirds The EarlyBirds platform provides the most efficient way for early adopters and innovators to get together and achieve a win-win situation. Businesses needing solutions to their problems may find suitable innovative products or services for their challenges and problems. The early adopters are businesses or organisations who are keen on adopting or embracing disruptive new technologies to solve various problems and challenges. Innovators are typically startups, scaleups, and mature businesses seeking growth by offering new technologies and innovation. SMEs can offer their services as consultants on how to use a particular new technology for a certain business challenge. Those who are interested in learning more about how the Early Birds open innovation ecosystem platform and services can visit the EarlyBirds website at

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Data-centric Opens the Pathway to Multi-solutions in Quality Inspection

FPT Software | November 07, 2022

With the rise of data-centric MLOps, leading IT companies are taking this approach to build better solutions for real-time inspection in manufacturing. An interview with FPT Software’s Chief AI Officer, Dr. Phong Nguyen, explored the potential of new technologies.Artificial Intelligence (AI) applications are considered the next step in the revolution of manufacturing. In a report just released on November 3rd, calculated that the value of AI in Manufacturing is 2.3 billion USD in 2022 and is anticipated to grow to 16.3 billion USD by 2027; growing at a CAGR of 47.9% from 2022 to 2027. In manufacturing processes, the spotlight is turning to AI in quality inspection as technology and devices improve greatly. Along with high-resolution cameras to discover minuscule defects, manufacturers can choose to apply the new data-centric AI approach, which is proving to be a lot more efficient than rule-based inspection. For example, rule-based inspections require human experts to define a large number of rules and to spend a great deal of time maintaining and adding rules. An AI approach uses machine learning to teach machines to recognise defective features effortlessly from examples. Pushed forward by Landing AI’s Founder & CEO Dr Andrew Ng, data-centric focused on optimising quality data to refine and shorten the time needed to train AI, instead of spending time, computing resources and efforts on improving state-of-the art models. One advantage of data-centric AI is that it can increase accuracy by the ability to find new defects based on data learnt. To Chief AI Officer of FPT Software, Dr Phong Nguyen, it also considerably shortens the time it takes to train AI. According to LandingAI in one particular case, LandingLens - the data-centric AI platform specialising in visual inspection – took only 6 minutes to train and bring AI into use, while rule-based machines needed more than 6 months. The platform opens a pathway to apply data-centric AI solutions in factory quality inspection, as visual is the most common approach for inspection. The data-centric approach can not only be applied to visual AI, but also to sound and IoTsensor inspection as well, Dr Phong said. Earlier this year, FPT Software shook hands with Landing AI in a strategic collaboration to distribute LandingLens to over 1,000 clients of the IT company, focusing on the manufacturing industry. The collaboration means that while LandingAI uses the collective data from real-life problems to improve their platform, FPT Software delivers a full package of end-to-end AI solutions to their clients. With experience in vertical industries and technical know-how, our role is to assess each operation system, create algorithms based on the particular problems the client meets, collect and optimise data to train the AI model, and then deploy that model into the factory, Dr Phong said. “This way, we can help our partner to develop and refine their platform, as well as bring a comprehensive solution to our clients, he concluded. In addition to LandingLens, FPT Software is also developing two additional data-centric solutions for sound and IoTsensor inspection, making a complete solution package for their clientele. These AI solutions are trained based on data which the company has collected throughout the years, as they improve their models to solve various issues experienced by factories. With the support of our clients, we can collect extremely valuable data in manufacturing for research, and train AI to learn from real-life problems and provide solutions, Dr Phong said. In addition to manufacturing, data-centric AI can be used in many more ways within a company. According to Dr Phong, FPT Software has been using this approach to improve employee happiness, increase productivity via Natural language code summarization for people who don’t know how to code to be able to understand, and even to predict the time series to optimise supply for their supply chain. In a short time, the approach has been applied successfully in multiple ways. It can give a company a lot more insights and create long-term results,Dr Phong concluded.

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Princeton TMX Completes Strategic Transaction with The Stephens Group

Princeton TMX, LLC | December 05, 2022

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The COVID-19 outbreak in 2020 was the most significant disruption ever encountered by the aerospace industry. Nations locked down, flights were cancelled and aircraft were parked and stored. The exceptional scope and speed of the
pandemic affected each industry segment: airline, MRO, OEM, vendor and lessor. Even before this unprecedented turbulence,the sector showed signs of distress. Today, the need for change has become a crucialprerequisite for supporting sustainable