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Global Surface Inspection Market By Surface Type, By Deployment Type, By Component, By End User, By Regional Outlook, Industry Analysis Report and Forecast, 2021 – 2027

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New York, Oct. 26, 2021 (GLOBE NEWSWIRE) — Reportlinker.com announces the release of the report “Global Surface Inspection Market By Surface Type, By Deployment Type, By Component, By End User, By Regional Outlook, Industry Analysis Report and Forecast, 2021 – 2027” – https://www.reportlinker.com/p06177786/?utm_source=GNW
Cameras and sensors are considered as the crucial components of this system. Powerful lenses capture outside images and transfer them to the computer where they are processed in a digital format. On the basis of pre-determined criteria, the software can detect much smaller variations. The system compares the data with target values or reference images.

Laser technology is also used to scan surfaces, which generate three-dimensional images in the computer. In addition, test systems are capable of detecting the defects on the surface and can decide whether the product is defective or not. The vision surface inspection can be performed with much faster production processes by using efficient microchips & high-resolution cameras and wide capacities of the computer. In addition, recordings are taken from various cameras and from various perspectives to display the product completely in one operation. Moreover, the technology can test even the surfaces that are not smooth and goods by the meters like fabrics, plastic films, cables, and latex.

The objective of the surface inspection is to identify errors in the surface for good quality control in real-time. This system finds extensive applications in industries like semiconductors and electronics, which are witnessing high deployment of high-level integration. Additionally, the tolerance level of assembly has reduced, owing to which the demand for surface inspection systems is anticipated to fuel in the forthcoming years. Moreover, the increasing income levels and growing population are some determinants that will propel the growth & demand of these solutions in the market.

COVID-19 Impact

The outbreak of the COVID-19 pandemic has created a massive burden on the global healthcare industry, which has significantly affected various industries and markets including the surface inspection market. Several small and medium manufacturers of surface inspection systems witnessed a negative impact of the pandemic. This is attributed to the halt in operations of the automotive sector for about one and half years. The automotive sector is considered to be the biggest industry contributing to the growth of the surface inspection market. In addition, the sales of vehicles decreased across the world, owing to the travel bans and lockdowns imposed in various nations around the globe.

As stated by World Trade Organization, the exports of automobile products significantly reduced in 2020 across the world. However, it is anticipated that the surface inspection market would witness promising growth, owing to factors like advanced software, the growing implementation rate of smart cameras, the surge in labor costs in several nations, powerful image processors due to their benefits & features, a growing number of initiatives by governments & public-private companies to reduce the impact of the COVID-19 and rise in demand of electrical & electronic devices.

Market Growth Factors:

Benefits offered by powerful image processors and smart cameras have boosted their deployment

The performance of a surface inspection system is decided by the features and technologies of components like optics, processors, software, illumination equipment, camera, and image sensors. There are several improvements done in embedded processors due to which, smart cameras are able to extend the capabilities that enable them to implement inspection activities separately.

Extensive implementation of collaborative robots (cobots)

To cope up with the demand of the evolving world, surface inspection systems are now incorporated with robots that are helping in enhancing the processing speed, decreasing human errors, and reducing costs. Another name given to surface inspection systems is VGR systems that are utilized in various industries such as electronics, food processing, and automotive. The increase in the demand for robots is directly proportional to the demand for surface inspection systems.

Market Restraining Factor:

Complexity in interoperability and integration of varied robotic frameworks with available facilities

In a manufacturing company or factory, interoperability is a major function. To coordinate and connect software and hardware with several inspection systems, there is a need for a modular framework. The focus is given on both, hardware interchangeability between surface inspections (vision system) & robot arms and software that is utilized for monitoring, diagnosing, and programming.

Surface Type Outlook

Based on Surface Type, the market is segmented into 2D and3D. 3D techniques offer accurate data that help manufacturers in obtaining precise results. Also, 3D scanning has gain traction as it provides superior speed and accuracy in both point cloud data processing and 3D scanners, which has made it a more helpful and popular method of capturing surface geometry. Additionally, it is identified that 3D techniques have the capability to overcome the drawbacks of 2D techniques, which is enabling manufacturers to inspect the product in a 3-dimensional way.

Deployment Type Outlook

Based on Deployment Type, the market is segmented into Computer based and Camera based. The Computer-based segment would acquire a prominent growth rate in the surface inspection market during the forecast years. The benefits like greater processing power, higher speed, choice of line scan or area scan cameras, adaptability with third-party software, easy upgrades due to detachable components, and more flexibility to handle a large number of applications are provided by computer-based systems, hence boosting the demand & growth of the segment in the global market.

Component Outlook

Based on Component, the market is segmented into Cameras, Lighting Equipment, Processors, Software, Frame Grabbers & Optics, and Others. With the evolving time, cameras are witnessing up-gradation in their resolutions and frame rate. Additionally, cameras and software are irreplaceable whereas other components are being replaced due to a decrease in their demand. Moreover, camera-based systems equipped with onboard processors are highly available in the market due to which, the demand for standalone processors is anticipated to decrease over the forecast period.

End User Outlook

Based on End User, the market is segmented into Semiconductor & Electronics, Food & Beverages, Healthcare, Automotive, Paper & Wood, Glass & Metal, Plastic & Rubber, and Others. The automotive industry needs numerous cameras in order to inspect several sizes and shapes in 2D and 3D planes. It is witnessed that the market has grown rapidly in the past few years and is growing at the same speed in several segments like electric vehicles and luxury vehicles. In addition, 2D and 3D technologies are also required in semiconductor manufacturing as it comprises numerous steps in quality inspection, from the inspection of the correct positioning of components to the identification of cracks on PCBs. Moreover, 2D and 3D cameras are gaining traction in this industry as computer-based systems contain various sockets that can be easily connectable with them.

Regional Outlook

Based on Regions, the market is segmented into North America, Europe, Asia Pacific, and Latin America, Middle East & Africa. The North America market is among the major regions in the Global Surface Inspection Market by Region in 2020, growing at a CAGR of 7.8 % during the forecast period. The Europe market is experiencing a CAGR of 8% during (2021 – 2027). Additionally, The Asia Pacific market is expected to witness a CAGR of 9.2% during the forecast period.

The major strategies followed by the market participants are Product Launches. Based on the Analysis presented in the Cardinal matrix; Panasonic Corporation, Keyence Corporation, Ametek, Inc. are the forerunners in the Surface Inspection Market. Companies such as Cognex Corporation, Teledyne Technologies, Inc., Basler AG are some of the key innovators in the market.

The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Omron Corporation., Panasonic Corporation, Keyence Corporation, Cognex Corporation, Teledyne Technologies, Inc., Basler AG, ISRA Vision AG (Atlas Copco), Ametek, Inc., VITRONIC Machine Vision, and Matrox Electronic Systems Ltd.

Recent Strategies Deployed in Surface Inspection Market

Partnerships, Collaborations and Agreements:

Sep-2021: Cognex came into partnership with Cobot Nation, the first all-in-one service provider for automated cobots. This partnership aimed to provide industry-leading expertise to its customers along with maintaining the customization and versatility to cater to the needs of customers.

Aug-2021: Keyence Corporation came into partnership with Ambi Robotics, the leader in simulation-to-reality AI for supply chain robotics. Under this partnership, the companies would apply the SR-5000 Series Logistics Code Reader to AmbiSort. Through this partnership, Ambi’s parcel sorting robots would be able to collect data at high speed and increase throughput for global delivery brands.

Apr-2021: Panasonic Avionics Corporation came into partnership with 8tree. Under this partnership, OEM-approved dentCHECK dent-mapping/reporting service would be available at select Panasonic Technical Services (PTS) regional line stations: Los Angeles International Airport (LAX). In addition, this offering would enable Panasonic Avionics customers with a precise, convenient, and effective method to safeguard their commercial aircraft investment, eliminating unnecessary cost and time delays.

Mar-2021: Omron Corporation teamed up with OnRobot, the Danish manufacturer of tools for collaborative robot (cobot) applications. Under this collaboration, the companies aimed to provide their clients greater agility while executing collaborative solutions. In addition, these collaborative solutions would increasingly be considered to be one of the most effective processes of improving the performance of production lines.

Mar-2021: Teledyne e2v teamed up with Yumain, the world’s leading vision solutions. This collaboration aimed to develop AI-based imaging solutions for machine vision. In addition, the popularity of AI has offered several benefits to the industry over traditional rule-based methods.

Acquisitions and Mergers:

May-2021: Teledyne Technologies took over FLIR Systems, a world leader in the design, manufacture, and marketing of thermal imaging infrared cameras. The acquisition aimed to offer a comprehensive portfolio of imaging technologies and products ranging from X-ray via infrared and from components to complete imaging systems.

Dec-2020: ISRA VISION, together with Atlas Copco took over Perceptron, a leading global provider of 3D automated measurement solutions and coordinate measuring machines. This acquisition aimed to provide clients across the world with a comprehensive portfolio of ISRA VISION and Perceptron products for the automation of major applications for several industries.

Product launches and Product Expansions:

Aug-2021: Omron Corporation introduced PCB inspection system VT-S10 Series. This system features the first imaging technique and AI to automate the high-precision inspection procedure for electronic substrates, hence cutting down the requirement for specialist skills.

Aug-2021: Teledyne launched Sapera Vision Software Edition 2021-07. This product would provide control, image processing, field-proven image acquisition, and artificial intelligence functions to develop, design, and deploy high-performance machine vision applications.

Aug-2021: Basler unveiled Basler boost camera with a high-resolution 45 MP XGS sensor and CXP-12 interface. Integrated with the single-channel CXP-12 interface card 1C, the application also offers various advantages from low latencies, a low CPU load, and high data throughput.

May-2021: Cognex unveiled a new 3D-L4000 system that integrates speckle-free blue laser optics and a broad selection of true 3D vision tools. This system quickly captures and processes 3D images with high-quality inspection and guidance functions.

May-2021: Matrox Imaging launched Matrox Iris GTX model edge IoT devices and the next evolution of its smart cameras. These smart cameras preserve the same small footprint and cabling connections as their immediate predecessor to facilitate implementation and up-gradation.

Mar-2021: Matrox Imaging launched Matrox Supersight Solo, Matrox Supersight Duo, and Matrox Supersight Quad, which upgraded its established Matrox Supersight vision controller series. This upgradation in the series would accommodate up to four computers in a standard 4U enclosure. Moreover, each computes cluster or computer is equipped with an embedded Intel Core processor and works alone or together with the others to deploy distributed computing.

Jan-2021: Cognex Corporation launched In-Sight 3D-L4000 embedded vision system. This system features 3D laser displacement technology that enables engineers to accurately, cost-effectively, and rapidly solve a range of inspections on automated production lines.

Nov-2020: Teledyne DALSA launched new Genie Nano-CXP 67M and 37M cameras based on the Teledyne e2v Emerald color and monochrome sensors. These new models of Genie Nano feature a CoaXPress interface and are easy to use. Moreover, these cameras are developed for industrial imaging applications that need high-speed data transfer like electronics manufacturing, packaging inspection, industrial automation, semiconductor inspection, general machine vision, and PCB-AOI (Automated Optical Inspection).

Oct-2020: Teledyne Imaging released Z-TrakTM2, the newest family of 3D profile sensors. This sensor is designed on Teledyne Imaging’s 3D image sensor technology, Z-Trak2 ushers in a new generation of 5GigE 3D profile sensors for high-speed, in-line 3D applications.

May-2020: Matrox Imaging unveiled Matrox AltiZ, a series of integrated high-fidelity 3D profile sensors featuring a dual-camera single-laser design. These sensors have an advanced design, which significantly reduces scanning gaps.

Mar-2020: Keyence unveiled a new AOI system, an automated visual inspection of the printed circuit board. This system performs precise 2D inspection along with 3D inspection. In addition, it comes with a 9.44-megapixel CMOS image sensor that produces high-resolution images, whereas a large-diameter telecentric lens provides high-accuracy full-scale inspection.

Feb-2020: Omron Corporation Automation Americas unveiled the V/F400 and V/F300 Series Smart Cameras, the latest additions to its popular MicroHAWK line. These smart cameras integrate code reading and vision inspection capabilities into a single, highly compact device.

Geographical Expansions:

Jul-2021: AMETEK Surface Vision expanded its geographical reach in China by introducing a new website from AMETEK Surface Vision. This expansion would increase the online support for consumers in China.

Jun-2020: VITRONIC expanded its geographical footprints in the center of Warsaw, the capital city of Poland by opening its newest office. This new office would fulfil the requirements of Vitronic’s partner and would be a place for strengthening economic activity and business meetings.

Scope of the Study

Market Segments covered in the Report:

By Surface Type

• 2D

• 3D

By Deployment Type

• Computer based

• Camera based

By Component

• Cameras

• Lighting Equipment

• Processors

• Software

• Frame Grabbers & Optics

• Others

By End User

• Semiconductor & Electronics

• Food & Beverages

• Healthcare

• Automotive

• Paper & Wood

• Glass & Metal

• Plastic & Rubber

• Others

By Geography

• North America

o US

o Canada

o Mexico

o Rest of North America

• Europe

o Germany

o UK

o France

o Russia

o Spain

o Italy

o Rest of Europe

• Asia Pacific

o China

o Japan

o India

o South Korea

o Singapore

o Malaysia

o Rest of Asia Pacific

• LAMEA

o Brazil

o Argentina

o UAE

o Saudi Arabia

o South Africa

o Nigeria

o Rest of LAMEA

Companies Profiled

• Omron Corporation

• Panasonic Corporation

• Keyence Corporation

• Cognex Corporation

• Teledyne Technologies, Inc.

• Basler AG

• ISRA Vision AG (Atlas Copco)

• Ametek, Inc.

• VITRONIC Machine Vision

• Matrox Electronic Systems Ltd.

Unique Offerings

• Exhaustive coverage

• Highest number of market tables and figures

• Subscription based model available

• Guaranteed best price

• Assured post sales research support with 10% customization free
Read the full report: https://www.reportlinker.com/p06177786/?utm_source=GNW

About Reportlinker
ReportLinker is an award-winning market research solution. Reportlinker finds and organizes the latest industry data so you get all the market research you need – instantly, in one place.

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Artificial Intelligence

IBM, Government of Canada, Government of Quebec Sign Agreements to Strengthen Canada’s Semiconductor Industry

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Up to $187M CAD to be invested to progress expansion of chip packaging capacity and capabilities and to strengthen R&D at IBM Canada’s Bromont plant
BROMONT, QC, April 26, 2024 /PRNewswire/ — IBM (NYSE: IBM), the Government of Canada, and the Government of Quebec today announced agreements that will strengthen Canada’s semiconductor industry, and further develop the assembly, testing and packaging (ATP) capabilities for semiconductor modules to be used across a wide range of applications including telecommunications, high performance computing, automotive, aerospace & defence, computer networks, and generative AI, at IBM Canada’s plant in Bromont, Quebec. The agreements reflect a combined investment valued at approximately $187M CAD.

“Today’s announcement is a massive win for Canada and our dynamic tech sector. It will create high-paying jobs, invest in innovation, strengthen supply chains, and help make sure the most advanced technologies are Canadian-made. Semiconductors power the world, and we’re putting Canada at the forefront of that opportunity,” said the Right Honourable Justin Trudeau, Prime Minister of Canada
In addition to the advancement of packaging capabilities, IBM will be conducting R&D to develop methods for scalable manufacturing and other advanced assembly processes to support the packaging of different chip technologies, to further Canada’s role in the North American semiconductor supply chain and expand and anchor Canada’s capabilities in advanced packaging.
The agreements also allow for collaborations with small and medium-sized Canadian-based enterprises with the intent of fostering the development of a semiconductor ecosystem, now and into the future.
“IBM has long been a leader in semiconductor research and development, pioneering breakthroughs to meet tomorrow’s challenges. With the demand for compute surging in the age of AI, advanced packaging and chiplet technology is becoming critical for the acceleration of AI workloads,” said Darío Gil, IBM Senior Vice President and Director of Research. “As one of the largest chip assembly and testing facilities in North America, IBM’s Bromont facility will play a central role in this future. We are proud to be working with the governments of Canada and Quebec toward those goals and to build a stronger and more balanced semiconductor ecosystem in North America and beyond.”
IBM Canada’s Bromont plant is one of North America’s largest chip assembly and testing facilities, having operated in the region for 52 years. Today, the facility transforms advanced semiconductor components into state-of-the-art microelectronic solutions, playing a key role in IBM’s semiconductor R&D leadership alongside IBM’s facilities at the Albany NanoTech Complex and throughout New York’s Hudson Valley. These agreements will help to further establish a corridor of semiconductor innovation from New York to Bromont. 
“Advanced packaging is a crucial component of the semiconductor industry, and IBM Canada’s Bromont plant has led the world in this process for decades,” said Deb Pimentel, president of IBM Canada. “Building upon IBM’s 107-year legacy of technology innovation and R&D in Canada, the Canadian semiconductor industry will now become even stronger, allowing for robust supply chains and giving Canadians steady access to even more innovative technologies and products. This announcement represents just one more example of IBM’s leadership and commitment to the country’s technology and business landscape.”
Chip packaging, the process of connecting integrated circuits on a chip or circuit board, has become more complex as electronic devices have shrunk and the components of chips themselves get smaller and smaller. IBM announced the world’s first 2 nanometer chip technology in 2021 and, as the semiconductor industry moves towards new methods of chip construction, advances in packaging will grow in importance. 
“Semiconductors are part of our everyday life. They are in our phones, our cars, and our appliances. Through this investment, we are supporting Canadian innovators, creating good jobs, and solidifying Canada’s semiconductor industry to build a stronger economy. Canada is set to play a larger role in the global semiconductor industry thanks to projects like the one we are announcing today. Because, when we invest in semiconductor and quantum technologies, we invest in economic security.”  — The Honourable François-Philippe Champagne, Minister of Innovation, Science and Industry
“This investment by IBM in Bromont will ensure that Quebec continues to stand out in the field of microelectronics. An increase in production capacity will solidify Quebec’s position in the strategic microelectronics sector in North America.” — The Honourable Pierre Fitzgibbon, Minister of Economy, Innovation and Energy, Minister responsible for Regional Economic Development and Minister responsible for the Metropolis and the Montreal region
About IBMIBM is a leading provider of global hybrid cloud and AI, and consulting expertise. We help clients in more than 175 countries capitalize on insights from their data, streamline business processes, reduce costs and gain the competitive edge in their industries. More than 4,000 government and corporate entities in critical infrastructure areas such as financial services, telecommunications and healthcare rely on IBM’s hybrid cloud platform and Red Hat OpenShift to affect their digital transformations quickly, efficiently and securely. IBM’s breakthrough innovations in semiconductors, AI, quantum computing, industry-specific cloud solutions and consulting deliver open and flexible options to our clients. All of this is backed by IBM’s legendary commitment to trust, transparency, responsibility, inclusivity and service. Visit www.ibm.com for more information. 
Media ContactLorraine BaldwinIBM [email protected] 
Willa HahnIBM [email protected]
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HITACHI ACQUIRES MA MICRO AUTOMATION OF GERMANY IN EFFORT TO ACCELERATE GLOBAL EXPANSION OF ROBOTIC SI BUSINESS IN THE MEDICAL AND OTHER FIELDS

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HOLLAND, Mich., April 26, 2024 /PRNewswire/ — Hitachi Ltd. (TSE: 6501, “Hitachi”) has signed a stock purchase agreement on April 26 to acquire all shares of MA micro automation GmbH (“MA micro automation”, headquartered in St. Leon-Rot, Germany) from MAX Management GmbH (a subsidiary of MAX Automation SE). MA micro automation is a leading provider of robotic and automation technology (robotic SI) including high-speed linear handling systems, high-precision assembly lines, and high-speed vision inspection technology for Europe, North America, and Southeast Asia, for EUR 71.5M million. The transaction is expected to close in the second half of 2024, pending completion of the customary regulatory filings. After the acquisition is completed, MA micro automation will join JR Automation Technologies, LLC (“JR Automation”), a market leader in providing advanced automation solutions and digital technologies in the robotic system integration business for North America, Europe, and Southeast Asia as a continued effort to expand the company’s global presence.

MA micro automation is a technology leader for automation solutions within micro-assembly. Through its state-of-the-art proprietary high-speed and high-precision automation know-how, combined with unique optical image inspection capabilities, MA micro automation serves high-growth med-tech automation end-markets, covering the production, assembly, and testing medical and optical components including contact lenses, IVD and diabetes diagnostics consumables, and injection molding for medical use. The company was established in 2003 through a carve-out from Siemens*1 and since 2013 has been part of the MAX Automation group. 
JR Automation is a leading provider of intelligent automated manufacturing technology solutions, serving customers across the globe in a variety of industries including automotive, life sciences, e-mobility, consumer and industrial products. With over 20 locations between North America, Europe, and Southeast Asia, the leading integrator offers nearly 2 million square feet (185,806 sq. m) of available build and engineering floorspace. This acquisition allows JR Automation to further grow and strengthen both the company’s geographical footprint and their continued commitment on expanding support capabilities within the European region and medical market vertical.
“MA micro automation provides engineering, build and support expertise with established capabilities in complex vision applications, high-speed and high-precision automation technologies. When integrated with JR Automation’s uniform global process and digital technologies, this partnership will further enhance our ability to deliver added value and support to all of our customers worldwide and continue to grow our capabilities in the medical market,” says Dave DeGraaf, CEO of JR Automation. “As we integrate this new dimension, impressive talents and abilities of the MA micro automation team we further enhance our ability to serve our customers, creating a more robust and globally balanced offering.”
With this acquisition, Hitachi aims to further enhance its ability to provide a “Total Seamless Solution*2” to connect manufacturer’s factory floors seamlessly and digitally with their front office data, allowing them to achieve total optimization and bringing Industry 4.0 to life. This “Total Seamless Solution” strategy links organizations’ operational activities such as engineering, supply chain, and purchasing to the plant floor and allows for real time, data-driven decision-making that improves the overall business value for customers.
Kazunobu Morita, Vice President and Executive Officer, CEO of Industrial Digital Business Unit, Hitachi, Ltd. says, “We are very pleased to welcome MA micro automation to the Hitachi Group. The team is based in Europe, providing robotic SI to global medical device manufacturing customers with its high technological capabilities and will join forces with JR Automation and Hitachi Automation to strengthen our global competitiveness. Hitachi aims to enhance its ability to provide value to customers and grow alongside them by leveraging its strengths in both OT, IT, including robotic SI, and “Total Seamless Solution” through Lumada*3’s customer co-creation framework.”
Joachim Hardt, CEO MA micro automation GmbH says, “Following the successful establishment and growth of MA micro automation within the attractive automation market for medical technology products, we are now opening a new chapter. Our partnership with Hitachi will not only strengthen our global competitive position, but we will also benefit from joint technological synergies and a global market presence.  We look forward to a synergistic partnership with Hitachi and JR Automation.”
Outline of MA micro automation    
Name
MA micro automation GmbH
Head Office
St. Leon-Rot, Germany
Representative
Joachim Hardt (CEO)
Outline of Business
Automation solutions within micro-assembly
Total no. of Employees:
Approx. 200 (As of April 2024)
Founded
2003
Revenues (2023)
€ 46.5 million
Website

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*1
“Siemens” is a registered trademark or trademark of Siemens Trademark GmbH & Co. KG in the U.S. and other countries.
*2
“Total Seamless Solution” is a registered trademark of Hitachi, Ltd. in the U.S. and Japan.
*3
Lumada: A collective term for solutions, services and technologies based on Hitachi’s advanced digital technologies for creating value from customers’ data accelerating digital innovation. https://www.hitachi.com/products/it/lumada/global/en/index.html
About JR AutomationEstablished in 1980, JR Automation is a leading provider of intelligent automated manufacturing technology solutions that solve customers’ key operational and productivity challenges. JR Automation serves customers across the globe in a variety of industries, including automotive, life sciences, aerospace, and more.  
In 2019, JR Automation was acquired by Hitachi, Ltd. In a strategic effort towards offering a seamless connection between the physical and cyber space for industrial manufacturers and distributers worldwide. With this partnership, JR Automation provides customers a unique, single-source solution for complete integration of their physical assets and data information, offering greater speed, flexibility, and efficiencies towards achieving their Industry 4.0 visions. JR Automation employs over 2,000 people at 21 manufacturing facilities in North America, Europe, and Asia.  For more information, please visit www.jrautomation.com.   
About Hitachi, Ltd.Hitachi drives Social Innovation Business, creating a sustainable society through the use of data and technology. We solve customers’ and society’s challenges with Lumada solutions leveraging IT, OT (Operational Technology) and products. Hitachi operates under the 3 business sectors of “Digital Systems & Services” – supporting our customers’ digital transformation; “Green Energy & Mobility” – contributing to a decarbonized society through energy and railway systems, and “Connective Industries” – connecting products through digital technology to provide solutions in various industries. Driven by Digital, Green, and Innovation, we aim for growth through co-creation with our customers. The company’s revenues as 3 sectors for fiscal year 2023 (ended March 31, 2024) totaled 8,564.3 billion yen, with 573 consolidated subsidiaries and approximately 270,000 employees worldwide. For more information on Hitachi, please visit the company’s website at https://www.hitachi.com.
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$10 million Artificial Intelligence Mathematical Olympiad Prize appoints further advisory committee members

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D. Sculley, Kevin Buzzard, Leo de Moura, Lester Mackey and Peter J. Liu appointed to the advisory committee for the Artificial Intelligence Mathematical Olympiad Prize.
LONDON, April 26, 2024 /PRNewswire/ — XTX Markets’ newly created Artificial Intelligence Mathematical Olympiad Prize (‘AIMO Prize’) is a $10mn challenge fund designed to spur the creation of a publicly shared AI model capable of winning a gold medal in the International Mathematical Olympiad (IMO).

XTX Markets is delighted to announce the appointment of five further advisory committee members. This group brings great expertise in machine learning, including D. Sculley, the CEO of Kaggle; Lester Mackey, a Principal Researcher at Microsoft Research and a Macarthur Fellow; and Peter J. Liu, a research scientist at Google DeepMind.
Prolific mathematicians Kevin Buzzard, who achieved a perfect score in the International Mathematical Olympiad, and Leo De Moura who is the Chief Architect for Lean, the automated reasoning tool, also join the advisory group.
They join the existing advisory committee members Terence Tao and Timothy Gowers, both winners of the Fields Medal, as well as Dan Roberts, Geoff Smith and Po-Shen Loh.
The AIMO Advisory Committee will support the development of the AIMO Prize, including advising on appropriate protocols and technical aspects, and designing the various competitions and prizes.
Simon Coyle, Head of Philanthropy at XTX Markets, commented:
“We are thrilled to complete the AIMO Advisory Committee with the appointments of D., Kevin, Leo, Lester and Peter. Together, they have enormous experience in machine learning and automated reasoning and are already bringing expertise and wisdom to the AIMO Prize. We look forward to announcing the winners of the AIMO’s first Progress Prize soon, and then publicly sharing the AI models to support the open and collaborative development of AI.”
Further information on the AIMO Prize
There will be a grand prize of $5mn for the first publicly shared AI model to enter an AIMO approved competition and perform at a standard equivalent to a gold medal in the IMO. There will also be a series of progress prizes, totalling up to $5mn, for publicly shared AI models that achieve key milestones towards the grand prize.
The first AIMO approved competition opened to participants in April 2024 on the Kaggle competition platform. The first progress prize focuses on problems pitched at junior and high-school level maths competitions. There is a total prize pot of $1.048m for the first progress prize, of which at least $254k will be awarded in July 2024, There will be a presentation of progress held in Bath, England in July 2024, as part of the 65th IMO.
For more information on the AIMO Prize visit: https://aimoprize.com/ or the competition page on Kaggle: https://www.kaggle.com/competitions/ai-mathematical-olympiad-prize/
Advisory Committee member profiles:
D. Sculley
D. is the CEO at Kaggle. Prior to joining Kaggle, he was a director at Google Brain, leading research teams working on robust, responsible, reliable and efficient ML and AI. In his career in ML, he has worked on nearly every aspect of machine learning, and has led both product and research teams including those on some of the most challenging business problems. Some of his well-known work involves ML technical debt, ML education, ML robustness, production-critical ML, and ML for scientific applications such as protein design.
Kevin Buzzard
Kevin a professor of pure mathematics at Imperial College London, specialising in algebraic number theory. As well as his research and teaching, he has a wide range of interests, including being Deputy Head of Pure Mathematics, Co-Director of a CDT and the department’s outreach champion. He is currently focusing on formal proof verification, including being an active participant in the Lean community. From October 2024, he will be leading a project to formalise a 21st century proof of Fermat’s Last Theorem. Before joining Imperial, some 20 years ago, he was a Junior Research Fellow at the University of Cambridge, where he had previously been named ‘Senior Wrangler’ (the highest scoring undergraduate mathematician). He was also a participant in the International Mathematical Olympiad, winning gold with a perfect score in 1987. He has been a visitor at the IAS in Princeton, a visiting lecturer at Harvard, has won several prizes both for research and teaching, and has given lectures all over the world.
Leo de Moura
Leo is a Senior Principal Applied Scientist in the Automated Reasoning Group at AWS. In his spare time, he dedicates himself to serving as the Chief Architect of the Lean FRO, a non-profit organization that he proudly co-founded alongside Sebastian Ullrich. He is also honoured to hold a position on the Board of Directors at the Lean FRO, where he actively contributes to its growth and development. Before joining AWS in 2023, he was a Senior Principal Researcher in the RiSE group at Microsoft Research, where he worked for 17 years starting in 2006. Prior to that, he worked as a Computer Scientist at SRI International. His research areas are automated reasoning, theorem proving, decision procedures, SAT and SMT. He is the main architect of several automated reasoning tools: Lean, Z3, Yices 1.0 and SAL. Leo’s work in automated reasoning has been acknowledged with a series of prestigious awards, including the CAV, Haifa, and Herbrand awards, as well as the Programming Languages Software Award by the ACM. Leo’s work has also been reported in the New York Times and many popular science magazines such as Wired, Quanta, and Nature News.
Lester Mackey
Lester Mackey is a Principal Researcher at Microsoft Research, where he develops machine learning methods, models, and theory for large-scale learning tasks driven by applications from climate forecasting, healthcare, and the social good. Lester moved to Microsoft from Stanford University, where he was an assistant professor of Statistics and, by courtesy, of Computer Science. He earned his PhD in Computer Science and MA in Statistics from UC Berkeley and his BSE in Computer Science from Princeton University. He co-organized the second place team in the Netflix Prize competition for collaborative filtering; won the Prize4Life ALS disease progression prediction challenge; won prizes for temperature and precipitation forecasting in the yearlong real-time Subseasonal Climate Forecast Rodeo; and received best paper, outstanding paper, and best student paper awards from the ACM Conference on Programming Language Design and Implementation, the Conference on Neural Information Processing Systems, and the International Conference on Machine Learning. He is a 2023 MacArthur Fellow, a Fellow of the Institute of Mathematical Statistics, an elected member of the COPSS Leadership Academy, and the recipient of the 2023 Ethel Newbold Prize.
Peter J. Liu
Peter J. Liu is a Research Scientist at Google DeepMind in the San Francisco Bay area, doing machine learning research with a specialisation in language models since 2015 starting in the Google Brain team. He has published and served as area chair in top machine learning and NLP conferences such as ICLR, ICML, NEURIPS, ACL and EMNLP. He also has extensive production experience, including launching the first deep learning model for Gmail Anti-Spam, and using neural network models to detect financial fraud for top banks. He has degrees in Mathematics and Computer Science from the University of Toronto.
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