Nothing could be further from the truth.

Granted, any new trend will always have an element of bandwagon business from marginal players and hype-riders looking to benefit from the latest trends.

But in terms of how digital transformation and AI are being researched and implemented in the manufacturing industry, there is plenty of steak to go along with all that sizzle.

One of the best ways to distinguish between an over-hyped trend and something with substance is to watch who is watching it. A great place to see that in action was at the recent ARC Industry Leadership Forum, which took place in Orlando, Fla. February 10-13.

This year’s event was almost entirely focused on AI, digital transformation and Industry 5.0 in manufacturing. It attracted more than 600 attendees representing some of the biggest companies in the manufacturing sector.

Indeed, the top 30 of these attending companies with publicly available financial numbers had a combined 2023 market cap of $4.22 trillion. If this market cap were a country, it would rank as the 4th largest economy in the world, just behind Germany ($4.5 trillion GDP) and ahead of Japan ($4.20 trillion GDP). Most of these companies were users undergoing significant digital transformation initiatives.

The fact that these industrial heavyweights are already fully invested in implementing AI and digital strategies shows the scale of the opportunity, and the huge strategic risk of ignoring it—we’re talking Blockbuster Video-level strategic risk.

But the question remains: where do you begin, especially if you don’t have the capital and assets of these massive multinational businesses?

Everywhere, all at once

In the current state of things, engineering leaders can be easily overwhelmed with all the trends and challenges thrown at them. Mathias Oppelt, vice-president of customer-driven innovation at Siemens Digital Industries (Siemens is certainly a technology vendor, but also manufactures its products using the latest smart manufacturing principles), hears about this from his customers daily and summed it up nicely during his session at the ARC Forum:

“You need to act more sustainably; you need to have higher transparency across your value chain. Have you thought about your workforce transformation yet? There’s a lot of people retiring in the next couple of years and there’s not many people coming back into the into the workforce. You still must deal with cost efficiency and all the productivity measures, while also driving energy efficiency. And don’t forget about your competition—they will still be there. And then there’s all that new technology coming up, artificial intelligence, large language models, ChatGPT—and on it goes, all of that all at once.”

Sound familiar?

Even with all these challenges, everything must now be done at speed. “Speed and adaptability will be the key drivers to continuing success. You need to adapt to all these challenges, which are continuously coming at you faster. If you’re standing still, you’re almost moving backwards.” Oppelt said.

The answer is simple, offered Oppelt with a wry smile: just digitally transform. The crowd, sensing his sarcasm, responded with nervous laughter. It was funny, but everyone understood it was also scary, because no one really knows where to start.

Bite the bullet, but take small bites

“The continuous improvement engineers out there know how risky it can be to bite off more than the organization can chew or to try to drive more change than it can manage,” says Doug Warren, senior vice president of the Monitoring and Control business for Aveva, a major industrial software developer based in Cambridge, U.K.

“It helps to take bite-sized pieces, and maybe even use the first bite to drive some incremental benefit or revenue to fund the next bite and then the next bite. You can sort of see this this self funding approach emerge, assuming the business objectives and the metrics tied to those business objectives show results.”

Warren is puzzled by how slowly and conservatively a number of industrial segments have been to fully embrace digitalization and digital transformation, saying that “…it seems like everyone has at least dipped a toe or a foot into the water,” but the number of organizations that are doing it at scale across the whole enterprise is lower than most people would guess.

“The level of technological advancement doesn’t come as a big surprise, and where we go from here won’t be a big surprise. The trick will be how fast you get past the proof-of-concept and into full scale deployment,” he says.

From Warren’s perspective, if you’re not taking advantage of the digitalization process to fundamentally change the way you’re doing work, then you’re probably not getting as much value.

“To just digitize isn’t enough. How do we change those work process? How do we inject more efficiency into work processes to take advantage of the technological advancements you are already investing in? That’s the special sauce,” he says, conceding that it’s difficult because people typically prefer routine and structure. “That’s probably got a lot to do with the lack of real speed of adoption, because you still have to overcome the way you’ve always done it.”

Warren says a good way to look at it is like a more nuanced version of the standard continuous improvement initiatives companies have been undertaking for decades.

“Continuous improvement is incremental changes over time, where digital transformation provides at least an impetus for more of a step change in the way we perform work, whatever that work might be.”

What’s old is new again

One of the main points of hesitation towards full scale implementation of digital transformation or AI initiatives is the perceived ‘newness’ of it and the uncertainty or risk associated with the perception of so-called “bleeding edge” technology.

The thing is, none of this is all that new. The concept of the neural network was developed in the 1940s and Alan Turing introduced his influential Turing Test in 1950. The first AI programs were developed in the early 1960s. If you are a chess enthusiast, you’ve certainly played against AI opponents for the last 20 years. Most popular video games have had story lines fuelled by AI-powered non-player-characters (NPCs) for almost as long.

What has changed over the last few decades is the amount of computing power available, the democratized access to that compute power through the cloud, and the speed provided by the latest advances in chips.

This growth of available computational power and technology can now be applied to all the improvements organizations have been trying to achieve with continuous improvement. And they are proving to be most effective when combined with the extensive knowledge found within companies.

“Industry definitely provides complexities because it’s not just AI and machine learning (ML). There’s also domain knowledge, so it’s really a hybrid approach,” says Claudia Chandra, chief product officer for Honeywell Connected Industrials based in San Francisco.

Chandra earned a Ph.D. in artificial intelligence and software engineering from UC Berkeley 25 years ago and has spent her career working with data, AI, edge platforms and analytics.

“I’m not for just AI/ML on its own. It’s really the domain knowledge that needs to be incorporated along with (AI’s) first principles. The accuracy would not be there without that combination, because data alone doesn’t won’t get you there,” Chandra said.

“That the tribal knowledge needs to be codified, because that gets you there faster and might complement what’s in the data. So, digitization is the precursor to AI/ML—you need to collect the data first in order to get to AI/ML,” she says, reiterating that it must be a step-by-step process to reduce risk.

Chandra says companies that have taken these incremental steps towards digitalization and embrace the cloud or even more advanced tech such as AI/ML will find that their digital transformation is no longer a behemoth with all the pain and risk that go with it. Plus, any vendor with a good understanding of the technology will provide at least a starting point—including pre trained models—so companies don’t have to start from scratch. “But ultimately, as you train it more, as you use it more, it will get better with the data that’s specific to your company,” she says.

Certainly, the success of any AI-enabled digital transformation initiative is all about the underlying data and training the AI appropriately to get the required accuracy. But it takes several steps to set the conditions for value generation: Commit to a project; start small with the right use case; and be persistent and diligent with the data. Once you get a small victory, put the value and the experience towards the next project. With such an approach, you will soon learn why AI and Industry 5.0 are here to stay—and so will your competition.

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Through its new intuitive user interface (UI), user-friendly tools, embedded content, and streamlined onboarding tools for new users, these newly reinvented software solutions were carefully designed to adapt to its users’ journey and workflow. Representing the culmination of over 20 years of experience, these additions complete Creaform’s comprehensive 3D measurement solution: metrology-grade scanners and optical CMM, intuitive software, world-class support, online training, and technical content.

The Creaform.OS platform provides all standard acquisition modules designed to provide the best 3D measurement experience across all Creaform systems, with the Scan, Probe and Photogrammetry modules. It also includes a multitude of significant improvements and features:

• New innovative interface: Completely redesigned UI to be workflow-oriented, it structures the core functionality with segmentation based on the major steps of each application.
• Customizable: New homepage, new menu structure, toolbars placement, preconfigured files for specific applications and many more options enable users to modulate the platforms to fit their unique tasks and applications.
• The new Insight channel: An integrated communication channel that enables Creaform to share complementary training tools, success stories from other clients, and new products with all users.
• On-boarding tools: The platform integrates several training tools and loading tips to empower users to learn the software on their own, simplifying new employees’ integration.
• New maximized 3D viewer: A new multiple sources lightning engine as well as additional space to view the data ensure optimal data visualization.

The Creaform Metrology Suite, on the other hand, provides a comprehensive portfolio of application software modules designed for any metrology task:

• Scan-to-CAD module: Intuitive reverse engineering toolkit for transferring data extracted from 3D scans to any CAD platform.
• Inspection module: Comprehensive and powerful software designed for efficient and accurate dimensional inspections.
• Automation module: User-friendly and integrated programming platform for deploying automated quality control solutions.
• Dynamic tracking module: Dynamic tracking module enabling simultaneous position and orientation of multiple objects in space and time.

“Engineered with optimal UX in mind, these platforms provide a versatile suite of tools designed to simplify operations, solve industry-specific challenges, and promote long-term growth,” explains Jérôme-Alexandre Lavoie, director of product management at Creaform, before adding, “Innovation Takes Form in every aspect of Creaform’s hardware and software solutions, establishing partnerships founded on trust, adaptability, and technologies that not only meet today’s needs but shape the future.”

For more information, visit creaform3d.com.

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The RClamp10022PWQ features robust ±15kV contact and ±25kV air discharge protection per IEC 61000-4-2, exceeding automotive requirements. Its ultra-low capacitance of 0.6pF maximum ensures signal integrity for high-speed automotive networks up to 10Gbps. The device is qualified to AEC-Q101 standard, making it suitable for deployment in harsh automotive environments.

“As automotive networks evolve to support ADAS, autonomous driving features and infotainment systems, reliable high-speed data transmission becomes critical,” said Eric Wentzel, product marketing director, automotive segment, protection products at Semtech. “The RClamp10022PWQ addresses this need by providing robust ESD protection while maintaining signal integrity across multiple Ethernet speeds, from 10Mbps to 10Gbps.”

The device’s compliance with Open Alliance specifications is particularly significant as automotive manufacturers standardize on Ethernet for in-vehicle networks. Open Alliance compliance ensures interoperability across different vehicle platforms and simplifies the qualification process for tier-1 suppliers and original equipment manufacturers (OEMs).

Key features of the RClamp10022PWQ include:

• Open Alliance compliant design.
• Wide operating temperature range of -40°C to +125°C.
• Flow-through package design for simplified PCB layout.
• Side-wettable flanks for automated optical inspection.
• 1000 contact discharge endurance at ±15kV.

For more information, visit semtech.com.

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Intelligent energy and storage solutions turn private households into electricity producers that contribute to the transition towards sustainable energy. Photovoltaic panels generate power that is either used in the home, charged into an electric car via a wallbox, or temporarily stored in a battery. The energy solution specialist SENEC from Leipzig, Germany, supports its customers with a seamless ecosystem of hardware and software. Now, the company aims to optimize its product development with CIM Database Cloud Enterprise from CONTACT Software. In the long run, the “Platform as a Service” (PaaS) solution is set to become the central data hub for the entire company.

To prepare for the company’s expected growth, SENEC is putting its product development on a new footing. In a benchmark, CIM Database Cloud emerged as the ideal solution: The PLM system can be flexibly scaled and optimally adapted to future requirements. Its user-friendly design and CONTACT’s open interface technology were additional decisive factors.

CIM Database Cloud integrates information from various systems into a central Single Source of Truth, including MCAD, ECAD, ALM, ERP, and CRM data. This simplifies collaboration across the entire company as well as with partners and suppliers. In addition to comprehensive data management, SENEC benefits from powerful functions for project and requirements management. In the future, CONTACT Elements will be expanded to become the central data platform for the whole company, providing all employees with access to corporate knowledge.

“The Elements platform – in tandem with CONTACT’s project team – offers plenty of flexibility for integrating our systems, ideas, and future extensions,” says Robert Lüddecke, capability owner product development and lifecycle management at SENEC. The PaaS operating model combines high data security and global data access with reduced efforts for administration and infrastructure. At the same time, extensive DevOps services ensure high customizability.

For more information, visit contact-software.com.

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Tailored to the global automotive development community, the summit provides insights into how VI-grade’s simulation software, driving simulators and hardware-in-the-loop technology are being utilized by industry leaders to accelerate development and tackle the zero prototypes challenge. Keynote and technical presentations will include speakers from Alpine Cars, Applus+ IDIADA, CEAT, EDAG Group, Honda R&D, HORIBA MIRA, MegaRide, Multimatic, TRE, and Volvo. Additional OEMs and Tier 1 suppliers will be announced soon.

In addition to gaining insights into the latest virtual development practices, attendees will have the opportunity to experience VI-grade’s comprehensive portfolio of simulation software, driving simulators, and hardware-in-the-loop (HiL) technologies through hands-on demo sessions. These sessions will also showcase the recently launched COMPACT HMI Simulator, along with a new driving simulator that will be unveiled exclusively during the summit.

To maximize the value of their visit to the SimCenter, participants are invited to join complimentary training sessions on VI-grade’s software products, including VI-CarRealTime, VI-WorldSim, and VI-NVHSim. These sessions will provide a deeper understanding of the software’s functionalities and capabilities, catering to both newcomers seeking foundational knowledge and experienced users looking to deepen their expertise.

Additionally, dedicated user group meetings will be held for driving simulator and NVH customers, offering a platform to share experiences, exchange best practices, and provide direct feedback to VI-grade’s product development teams. As in previous years, the summit will feature multiple networking opportunities, enabling participants to connect with industry peers, gain new perspectives, and prepare for emerging challenges in the automotive sector.

“We’re excited to unveil the first lineup of speakers and sponsors for our 2025 ZERO PROTOTYPES Summit,” said Guido Bairati, managing director of VI-grade. “In an era of increasing complexity, cost pressures, and the demand for faster time-to-market, our summit offers a platform for companies to explore how virtual testing – through simulation software, driving simulators, and HiL solutions – can drive resilience and growth. We are excited to once again welcome global industry leaders to our SimCenter in Udine, empowering them to push boundaries and innovate with confidence.”

VI-grade recognizes the following industry partners for their support and sponsorship of the 2025 ZERO PROTOTYPES Summit:

• Diamond: EDAG Group
• Platinum: Applus+ IDIADA, Dassault Systèmes, HORIBA MIRA, MdynamiX, Meccanica 42, MegaRide, Rebel Dynamics, SAGInoMIYA
• Gold: ASCS, Barco, ICT AG, Multimatic
• Silver: 3D Mapping Solutions, Fraunhofer Institut ITWM, New Eagle, project: syntropy, Rohde & Schwarz, Smart Eye, STEP Lab
• Bronze: BE CAE & Test, JEDAi, MOOG

Registration for the 2025 ZERO PROTOTYPES Summit is open at this link. An exclusive Early Bird Discount of 20% is available for registrations made before Mar 21.

For further information, please visit vi-grade.com.

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“Architects are increasingly leveraging new technologies to create immersive projects, which means that students need to have access to innovative solutions to stay ahead of the curve,” said Fabio Ponzio, executive vice president at Leica Geosystems. “SCI-Arc has earned a reputation for preparing students for any eventuality, and we are honored to work alongside such inventive thinkers. Together, we can drive transformative progress in the media, entertainment and related design fields.”

As part of the new partnership, Leica Geosystems is supplying SCI-Arc with over $200K of technology donations, including easy-to-use LiDAR scanners like the Leica BLK360— a laser scanner that captures photorealistic 3D scans of areas, structures and objects — and the Leica BLK2GO — a handheld mobile scanner that can capture structures and complete layouts anywhere. Leica Geosystems will also sponsor a sizable sum in scholarships for postgraduate students in the EDGE program, which focuses on expanding the frontiers of architecture.

Leica Geosystems’ laser scanning experts will actively share their deep knowledge and experience with the students, guiding them as they integrate these advanced solutions into their design workflows. Students are currently experimenting with Leica Geosystems scanners to capture point cloud scans at the SCI-Arc campus and the SCI-Arc AltaSea incubator in San Pedro. Rather than relying on photogrammetry — which can force users to sacrifice accuracy — students can generate LiDAR scans to develop custom software for automating building design. From there, they can generate 2D site plans and build 3D models from text.

Students and researchers at SCI-Arc are already using Leica Geosystems technology in creative and forward-looking projects as well, beginning with the multi-year research and art exhibition, Views of Planet City.

Views of Planet City: Urban Foraging

Developed within the Getty Foundation’s cultural initiative “PST ART: Art and Science Collide,” Planet City examines what the world could look like if half the Earth were reserved for nature, and the 10 billion remaining humans retreated into a single megalopolis. To help design that incredible city, artist and SCI-Arc faculty John Cooper pioneered a new architectural look using “foraging” techniques to show what a city built around need, using only existing structures and materials, might look like.

Cooper’s project within the exhibit, titled Planet City Spoils, offered a new aesthetic created from structures found around Los Angeles. Rather than digitally building 3D assets — which would have been prohibitively time-consuming — his team deployed a BLK2GO scanner at chosen locations to capture a building’s structural make-up and materials. Each LiDAR scan was then added to a “shadow archive,” where artists could disassemble and reassemble scans to build digital and physical models using their chosen tools (including Cloud Compare, Rhino, Blender and Unreal Engine).

Views of Planet City: Scanning the Wildernes

While the Planet City megapolis offers an original look at a possible urban future, it also gives us a glimpse at what the rest of the world might look like untouched by human influence. In the associated multimedia project, Feral Planet, SCI-Arc faculty and artist Angelica Lorenzi set out to capture LiDAR scans of some of the most remote places in the world. Those scans then became the basis for a series of short films that dramatized the process of rewilding the uninhabited wilderness.

Lorenzi and a team of students traveled to the rocky coastal region of Piedra Blanca, California; the glacial mountains of Haines, Alaska; the densely forested high desert of McCoin Orchard, Oregon; and the UNESCO World Heritage Site of Monte Alban, Oaxaca. At each location they deployed a BLK360 to capture vegetation, geographic elements and the topography of each site. From there, the scans were uploaded and edited within Unreal Engine to create richly textured 3D assets, including animated models.

The Views of Planet City exhibit opened to the public in September 2024 and appeared at the Pacific Design Center Gallery through January 26, 2025. It remains on view at the SCI-Arc Gallery until February 16.

“The postgraduate programs at SCI-Arc EDGE broaden what an architect is capable of doing in the world by developing new knowledge and expertise,” said SCI-Arc postgraduate programs chair David Ruy. “Despite competing predictions about the future, direct experience with emerging technologies has always been the best crystal ball. I am thrilled to engage in this partnership and can’t emphasize enough how significant this relationship will be for our students and faculty.”

For more information, visit leica-geosystems.com.

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“I would like to thank Lynette for her strong contribution to Siemens, protecting and building our reputation and leading the function across the enterprise for the last three and a half years. I wish her personally and professionally all the best,” said Roland Busch, president and CEO of Siemens AG.

“We are very pleased to appoint Christiane Ribeiro as Siemens’ new global head of communications,” said Roland Busch. “Having been with Siemens for almost 25 years, she brings a deep understanding of our company, our culture, and our global footprint. Her leadership across multiple regions and her pivotal role in positioning Siemens as a leading technology company over the last years make her uniquely suited for this role. As we continue to transform and shape the industries of the future, her expertise and passion will be invaluable in strengthening our brand and engaging stakeholders around the world.”

“Together with my colleagues, I look forward to supporting the continued growth of Siemens through high-impact communications. It is a privilege to tell the amazing stories of our customers and partners, our people, and the impact our technology has on the world. I am excited to do this with outstanding teams around the globe,” said Christiane Ribeiro. 

Christiane Ribeiro is currently head of CEO communications, strategic messaging and thought leadership. She also leads communications for the newly launched “ONE Tech Company”, a company program for accelerated growth. She joined Siemens Brazil in 2001 and has held roles including head of communications and government relations for Siemens Australia and New Zealand, head of innovation communications and communications business partner to Roland Busch as chief technology officer and deputy CEO.

For more information, visit siemens.com.

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Quantum computing utilizes the superposition and entanglement properties of quantum bits (qubits) to achieve exponential speedup in computation for certain specific problems. However, the hardware implementation of quantum computers still faces numerous technical challenges, such as qubit stability and error rate control. As a result, digital simulated quantum computing has become an important tool for researching and developing quantum algorithms.

Digital simulated quantum computing uses classical computers to simulate the behavior of quantum systems, helping researchers understand and design quantum algorithms. However, as the scale of quantum systems increases, the computational resources required for simulation grow exponentially, making it extremely difficult to simulate large-scale quantum systems. HOLO, through the DeepSeek model, focuses on optimizing the simulation and prediction of complex systems. Its powerful computational optimization capabilities and flexible architecture make it an ideal tool for optimizing digital simulated quantum computing.

The state of a quantum system can be described by a wave function, which is a complex vector that exists in Hilbert space. For a system containing n qubits, the size of its wave function is 2^n, which makes directly simulating large-scale quantum systems extremely difficult.

To reduce the computational resources required for simulating quantum systems, the Tensor Network method has been introduced. Tensor networks effectively reduce computational complexity by decomposing high-dimensional tensors into products of lower-dimensional tensors. However, traditional tensor network methods still face challenges when dealing with large-scale quantum systems. HOLO, using the DeepSeek model and deep learning technology, has optimized the construction and updating process of tensor networks. By leveraging neural networks in the DeepSeek model to automatically learn the structure and parameters of the tensor network, it significantly reduces the consumption of computational resources while ensuring simulation accuracy.

HOLO, through the DeepSeek model, has developed a new type of neural network architecture called the “Quantum Tensor Network Neural Network” (QTNNN). QTNNN consists of multiple layers, each containing several quantum tensor nodes. These nodes are interconnected in a specific manner to form a complex network structure.

The training process of the DeepSeek model is divided into two stages: pre-training and fine-tuning. In the pre-training phase, the model is trained using a large amount of quantum system data to learn the basic structure and parameters of the tensor network. In the fine-tuning phase, the model is optimized for specific quantum systems, further improving the simulation’s accuracy and efficiency.

By introducing the DeepSeek model, HOLO has optimized the algorithms for digital simulated quantum computing. The optimized algorithm significantly reduces the computational resources required. Through the automatic learning of tensor network structures and parameters, the computational resources needed for simulating quantum systems are greatly reduced. Experiments show that the optimized algorithm reduces the consumption of computational resources by more than 50% when handling large-scale quantum systems.

In addition, the accuracy of digital simulation for quantum computing has been significantly improved through optimization. HOLO, utilizing the DeepSeek model’s deep learning technology, is able to capture the behavior of quantum systems more accurately. Experiments show that the optimized algorithm has enhanced simulation precision by over 30%, especially when handling complex quantum systems, where its performance is particularly remarkable.

The breakthrough achieved by HOLO through the introduction of the DeepSeek model in the field of digital simulation quantum computing marks a significant step in the deep integration of quantum computing research and deep learning technology. This breakthrough not only addresses the bottleneck issues of traditional digital simulation methods in terms of computational resources and efficiency but also provides entirely new tools and ideas for the design and optimization of quantum algorithms. With the implementation of this technology, researchers are able to simulate large-scale quantum systems more efficiently, thereby accelerating research in fields such as quantum chemistry, quantum machine learning, and quantum optimization algorithms. The successful application of this technology not only demonstrates the enormous potential of deep learning in scientific computing but also lays a solid foundation for the practical applications of future quantum computing. As quantum computing hardware continues to mature, the optimization of digital simulation technology will provide strong theoretical support and algorithmic reserves, propelling quantum computing from the laboratory into industrial applications.

From a technical implementation perspective, HOLO utilizes the DeepSeek model and its unique Quantum Tensor Network Neural Network (QTNNN) architecture to successfully integrate deep learning with quantum system simulation. This architecture not only automatically learns the complex structure and dynamic behavior of quantum systems but also significantly reduces computational resource consumption while maintaining simulation accuracy. Experimental results show that the optimized algorithm reduced computational resource consumption by over 50% and improved simulation accuracy by more than 30% when handling large-scale quantum systems. This dual enhancement in efficiency and accuracy allows researchers to verify and optimize quantum algorithms more quickly, thereby accelerating the practical application of quantum computing technology.

The technological breakthrough achieved by HOLO is not only of significant importance in the field of quantum computing but will also have a profound impact on scientific research and industrial applications. In scientific research, the optimized digital simulation technology will provide more powerful tools for fields such as quantum chemistry, materials science, and drug development, helping scientists gain a deeper understanding of the behavior of complex quantum systems. In industrial applications, the accelerated development of quantum computing will bring new opportunities to industries like finance, energy, and artificial intelligence, such as more efficient financial modeling, more precise energy optimization algorithms, and more powerful machine learning models. This will promote global scientific collaboration and innovation, accelerating the widespread adoption and application of the technology. It is foreseeable that as quantum computing technology continues to mature and optimize, human society will usher in a technological revolution driven by quantum computing.

For more information, visit ir.mcholo.com.

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“Since joining the company almost a decade ago, Emad has been instrumental in the development and advancement of Lucid’s powertrain technology,” said Peter Rawlinson, CEO and CTO of Lucid Motors. “This promotion reflects his exceptional leadership, dedication, and technical contributions, which have been highly influential to our widely accepted powertrain technology leadership.”

Dlala has been with Lucid in various technical roles since 2015 where he’s led efforts to develop breakthrough technologies that achieved unmatched range and performance in the Lucid Air and leading technologies in the Lucid Gravity. He brings more than two decades of engineering experience to his current leadership role. Prior to Lucid, he worked as a senior application engineer at ANSYS Inc. developing cutting-edge, computer-based engineering simulation technologies.

Dlala holds a PhD and M.Sc. in Electrical Engineering from Aalto University, Finland, and a B.Sc. in Electrical Engineering from Al-Zawiya University, Libya. 

For more information, visit lucidmotors.com.

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NetsPresso: Revolutionizing AI Optimization

Nota AI’s flagship platform, NetsPresso, now supports the Qualcomm AI Hub. The Qualcomm AI Hub is an AI platform that provides optimized AI models and specific guidelines, enabling not only developers but also anyone to easily and quickly develop on-device AI applications. With the Qualcomm AI Hub already supporting over 150 models, NetsPresso’s new integration capabilities complement and enhance its offerings by introducing NetsPresso’s advanced optimization capabilities, particularly for resource-constrained devices.

Through its four-step process—training, compression, compilation, and benchmarking—NetsPresso optimizes AI models for resource-limited devices. Compilation and benchmarking, previously managed by NetsPresso, can now be handled within Qualcomm Technologies’ ecosystem, enhancing efficiency and enabling NetsPresso to focus on training and compression for improved overall optimization.

Nota AI CEO Myungsu Chae remarked, “Adding support for the Qualcomm AI Hub to NetsPresso has unlocked new potential for on-device AI optimization. Together, we are expanding efforts to bring On-device AI to realization on a global scale.”

Expanding Global Reach

Nota AI has announced that it earned dual ‘A’ ratings in the technical evaluation process, a key milestone toward its planned IPO on the KOSDAQ in 2025. Building on these results, the company intends to accelerate its listing procedures in the coming year. The company is expanding into key markets across the Middle East and Southeast Asia, leveraging established entities in the U.S. and Germany. Its Vision-Language Model project with Dubai’s Roads and Transport Authority (RTA) demonstrates its technological leadership, positioning the Middle East as a critical hub for future growth.

With relentless innovation and bold new initiatives, Nota AI is not only redefining AI accessibility but also setting new benchmarks in IoT and edge computing on a global scale.

For more information, visit nota.ai.

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