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Insights on the AI-Enabled X-Ray Imaging Solutions Global Market to 2031 – Featuring Enlitic, General Electric and Imagen Technologies Among Others

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Dublin, Sept. 15, 2021 (GLOBE NEWSWIRE) — The “Global AI-Enabled X-Ray Imaging Solutions Market: Focus on Product Type, Workflow, Mode of Deployment, and Application, and 10 Country-Level Data – Analysis and Forecast, 2021-2031” report has been added to ResearchAndMarkets.com’s offering.

The global AI-enabled X-Ray imaging solutions market is projected to reach $639.7 million by 2031, reveals this premium market intelligence study. The study also highlights that the market is set to witness a CAGR of 20.2% between 2021 and 2031.

Who should buy this report?

  • AI-based software and hardware providers to gain a holistic view of the market potential of various offerings and the developing economies for business expansions.
  • Cloud service providers
  • Established healthcare companies that are integrating software, machine learning, and AI into the radiology field
  • Established medical technology companies to gain insights about the market potential, market entry strategies, new technologies in the market, and key competitors.

Key questions answered in the Report

  • What are the various AI-enabled X-Ray imaging solutions available in the market?
  • What is the current market size and future potential of these products?
  • What are the major growth propelling factors, growth-inhibiting factors, and opportunities in the global AI-enabled X-Ray imaging solutions market?
  • Who are the leading players holding dominating shares in the global AI-enabled X-Ray imaging solutions market currently?
  • What are the key strategies incorporated by the players of the global AI-enabled X-Ray imaging solutions market to sustain the competition and retain their supremacy?
  • What is the current revenue contribution of different product types, and how would it evolve in the forecast period?
  • What is the current revenue contribution of different therapeutic applications, and how would it evolve in the forecast period?
  • What are the current demand contributions of different workflow and workflow types, and how would it evolve in the forecast period?
  • What is the current demand contribution of different deployment models, and how would it evolve in the forecast period?
  • Which countries contribute to the major share of current demand, and which countries hold significant scope for expansion for business activities by players of the global AI-enabled X-Ray imaging solutions market?

Global AI-Enabled X-Ray Imaging Solutions Market Overview

Artificial intelligence (AI) is an emerging technology that uses computerized algorithms to analyze complex data. Artificial intelligence is actively used in the medical field. The products in the global AI-enabled X-Ray imaging solutions market include hardware and software solutions used to mimic human cognitive behaviors in medical imaging. Machine learning and deep learning algorithms are examples of AI-based software solutions that are built and educated to resemble AI when used with imaging modalities like X-Ray. On the other hand, AI-based hardware solutions include processors, microprocessors, and chips to perform crucial AI-based activities in medical imaging.

This research study evaluates the potential of the global AI-enabled X-Ray imaging solutions market. It considers every product (hardware and software) available in the market whose functionality aligns with human cognition.

Market Drivers

Presently, the factors driving the growth of the market include expanding the range of applications of AI, increasing funding activities, and increasing complexities of clinical decision-making.

Market Challenges

The challenges that are restricting the growth of the market include privacy and security concerns related to healthcare data, lack of trained staff, barriers to physician’s adoption of AI, regulatory hurdles, legal implications of AI systems.

Market Opportunities

Potential opportunities that are likely to boost the growth of the market include rapidly evolving machine and deep learning techniques and the increasing number of cross-industry partnerships.

Impact of COVID-19

The COVID-19 pandemic increased the use of X-Ray scans, which were used to screen out COVID-19 patients, as it allowed the doctors to see the lung is affected by the coronavirus. This directly affected the demand for AI-enabled X-Ray imaging solutions to aid the healthcare workers to screen out patients in less time. Also, the introduction of the AI-Enabled X-Ray imaging solutions improved the workflow of X-Ray imaging. This pandemic is expected to leave a long-term impact on the global AI-enabled X-Ray imaging solutions market.

Key Market Players and Competition Synopsis

Some of the key players operating in the market, include Agfa-Gevaert NV, Arterys Inc., Behold.AI Technologies Limited, Carestream Health Inc., Enlitic Inc., General Electric Company, Imagen Technologies Inc., Infervision Medical Technology Co. Ltd., Konica Minolta Inc., Lunit Inc., Quibim S.L., Qure.AI Technologies Pvt. Ltd., Siemens Healthineers AG, Vuno Co. Ltd., and Zebra Medical Vision Inc.

The AI-enabled X-Ray imaging solutions market has witnessed several strategic and technological developments from January 2018- August 2021, undertaken by the different market players to attain their respective market shares in this emerging domain. Some of the strategies covered in this segment are product development and upgradations, partnerships, collaborations, business expansions, funding activities, regulatory approvals, mergers, and acquisitions. The preferred strategy for companies has been partnerships, collaborations, and business expansions.

Key Topics Covered:

1 Market Scope

2 Research Methodology

3 Global AI-Enabled X-Ray Imaging Solutions Market
3.1 Parent Market Outlook
3.2 Market Size and Forecast
3.3 Limitations and Assumptions
3.4 Key Findings

4 Industry Insights
4.1 Industry Ecosystem
4.2 Regulatory Framework
4.2.1 U.S.
4.2.1.1 Artificial Intelligence-Based FDA-Approved Medical Devices and Algorithms
4.2.1.2 Restraints in Current Regulatory Process for AI/ML-Based Medical Device/Algorithm in the U.S.
4.2.2 European Union
4.2.2.1 Change in Rules
4.2.2.2 New Rules in Annexure VIII
4.2.2.3 Implementation of MDR (Major Changes):
4.2.2.3.1 Expanded Device Definitions Requiring Re-Examination of the Current Classification of All Devices
4.2.2.3.2 Quality Management System
4.2.2.3.3 Technical File
4.2.2.3.4 New Identification and Traceability (UDI) Requirements
4.2.2.3.5 More Emphasis on Post-Market Surveillance
4.2.2.3.6 Need for Strengthening the Role of Internal Audits and Mandatory Audits
4.2.2.3.7 Dedicated Personnel for MDR compliance
4.2.2.3.8 U.K. Exiting the European Union, Post-Brexit
4.2.3 Japan
4.2.4 China
4.2.5 Other Countries
4.2.5.1 India
4.2.5.2 Latin America
4.2.5.3 Middle East and Africa
4.2.5.4 Consortiums, Associations, and Regulatory Bodies
4.3 Impact of COVID-19 Pandemic
4.3.1 Impact on Clinical Decision-Making and Clinical Settings
4.3.2 Impact on Manufacturers of AI-Based Medical Imaging Solutions
4.3.3 Conclusion

5 Competitive Insights
5.1 Key Developments and Strategies (Deal Tracking)
5.1.1 Collaborative Activities
5.1.2 Regulatory Activities
5.1.3 Funding Activities
5.1.4 New Offerings and Upgradations
5.2 Product Benchmarking
5.3 Competitor’s Assessment
5.3.1 Overview
5.3.2 Vuno, Co., Ltd.
5.3.3 Zebra Medical Vision, Inc.
5.4 Growth Share Analysis
5.4.1 by Product Type
5.4.2 by Workflow
5.4.3 by Mode of Deployment
5.4.4 by Application
5.4.5 by Region

6 Market Dynamics
6.1 Overview
6.2 Impact Analysis
6.3 Market Drivers
6.3.1 Expanding Range of Applications
6.3.2 Shortage of Healthcare Workforce
6.3.3 Increasing Funding Activities
6.3.4 Increasing Complexities of Clinical Decision-Making
6.4 Market Restraints
6.4.1 Privacy and Security Concerns Related to Healthcare Data
6.4.2 Lack of Trained Staff
6.4.3 Barriers to Physician’s Adoption of AI
6.4.4 Regulatory Hurdles
6.4.5 Legal Implications of AI Systems
6.5 Market Opportunities
6.5.1 Rapidly Evolving Machine and Deep Learning Techniques
6.5.2 Increasing Number of Cross-Industry Partnerships

7 Global AI-Enabled X-Ray Imaging Solutions Market (by Product Type)
7.1 Market Overview
7.2 Market Size and Forecast
7.2.1 Software
7.2.1.1 Perpetual Software License
7.2.1.2 Subscription Software License
7.2.1.3 Fee-Per-Case Software License
7.2.2 Hardware

8 Global AI-Enabled X-Ray Imaging Solutions Market (by Workflow)
8.1 Market Overview
8.2 Market Size and Forecast
8.2.1 Detection
8.2.2 Image Acquisition
8.2.3 Image Analysis
8.2.4 Diagnosis and Treatment Decision Support
8.2.5 Triage
8.2.6 Predictive Analysis and Risk Assessment
8.2.7 Reporting and Communication

9 Global AI-Enabled X-Ray Imaging Solutions Market (by Mode of Deployment)
9.1 Market Overview
9.2 Market Size and Forecast
9.2.1 Cloud-Based and Web-Based Solutions
9.2.2 On-Premises Solutions

10 Global AI-Enabled X-Ray Imaging Solutions Market (by Application)
10.1 Market Overview
10.2 Market Size and Forecast
10.2.1 General Radiology
10.2.2 Specialty Radiology
10.2.2.1 Chest
10.2.2.2 Musculoskeletal
10.2.2.3 Fluoroscopy
10.2.2.4 Others

11 Global AI-Enabled X-Ray Imaging Solutions Market (by Region)
11.1 Market Overview
11.2 North America
11.2.1 Market Footprint
11.2.2 Market Size and Forecast
11.2.2.1 U.S.
11.2.2.2 Canada
11.3 Europe
11.3.1 Market Footprint
11.3.2 Regional Market Dynamics
11.3.3 Market Size and Forecast
11.3.3.1 U.K.
11.3.3.2 Germany
11.3.3.3 France
11.3.3.4 Spain
11.3.3.5 Italy
11.3.3.6 Rest-of-Europe
11.4 Asia-Pacific
11.4.1 Market Footprint
11.4.2 Market Size and Forecast
11.4.2.1 China
11.4.2.2 Japan
11.4.2.3 Australia and New Zealand
11.4.2.4 Rest-of-Asia Pacific
11.5 Rest-of-the-World
11.5.1 Market Footprint

12 Company Profiles
12.1 Overview
12.2 Competitor Snapshot
12.3 Agfa-Gevaert NV
12.3.1 Company Outlook
12.3.2 Role of the Company
12.3.3 Product Offerings
12.3.4 Financials
12.3.5 Competitive Position
12.3.5.1 Strengths of the Company
12.3.5.2 Weakness of the Company
12.4 Arterys, Inc.
12.4.1 Company Outlook
12.4.2 Role of the Company
12.4.3 Product Offerings
12.4.4 Competitive Position
12.4.4.1 Strengths of the Company
12.4.4.2 Weakness of the Company
12.5 Behold.AI Technologies Limited
12.5.1 Company Outlook
12.5.2 Role of the Company
12.5.3 Product Offerings
12.5.4 Competitive Position
12.5.4.1 Strengths of the Company
12.5.4.2 Weakness of the Company
12.6 Carestream Health, Inc.
12.6.1 Company Outlook
12.6.2 Role of the Company
12.6.3 Product Offerings
12.6.4 Competitive Position
12.6.4.1 Strength of the Company
12.6.4.2 Weakness of the Company
12.7 Enlitic, Inc.
12.7.1 Company Outlook
12.7.2 Role of the Company
12.7.3 Product Offerings
12.7.4 Competitive Position
12.7.4.1 Strength of the Company
12.7.4.2 Weakness of the Company
12.8 General Electric Company
12.8.1 Company Outlook
12.8.2 Role of the Company
12.8.3 Product Offerings
12.8.4 Financials
12.8.5 Competitive Position
12.8.5.1 Strengths of the Company
12.8.5.2 Weaknesses of the Company
12.9 Imagen Technologies, Inc.
12.9.1 Company Outlook
12.9.2 Role of the Company
12.9.3 Product Offerings
12.9.4 Competitive Position
12.9.4.1 Strength of the Company
12.9.4.2 Weakness of the Company
12.1 Infervision Medical Technology Co. Ltd.
12.10.1 Company Outlook
12.10.2 Role of the Company
12.10.3 Product Offerings
12.10.4 Competitive Position
12.10.4.1 Strengths of the Company
12.10.4.2 Weakness of the Company
12.11 Konica Minolta, Inc.
12.11.1 Company Outlook
12.11.2 Role of the Company
12.11.3 Product Offerings
12.11.4 Financials
12.11.5 Competitive Position
12.11.5.1 Strengths of the Company
12.11.5.2 Weaknesses of the Company
12.12 Lunit, Inc.
12.12.1 Company Outlook
12.12.2 Role of the Company
12.12.3 Product Offerings
12.12.4 Competitive Position
12.12.4.1 Strengths of the Company
12.12.4.2 Weakness of the Company
12.13 Quibim, S.L.
12.13.1 Company Outlook
12.13.2 Role of the Company
12.13.3 Product Offerings
12.13.4 Competitive Position
12.13.4.1 Strengths of the Company
12.13.4.2 Weakness of the Company
12.14 Qure.ai Technologies Pvt. Ltd.
12.14.1 Company Outlook
12.14.2 Role of the Company
12.14.3 Product Offerings
12.14.4 Competitive Position
12.14.4.1 Strengths of the Company
12.14.4.2 Weakness of the Company
12.15 Siemens Healthineers AG
12.15.1 Company Outlook
12.15.2 Role of the Company
12.15.3 Product Offerings
12.15.4 Financials
12.15.5 Competitive Position
12.15.5.1 Strengths of the Company
12.15.5.2 Weaknesses of the Company
12.16 Vuno Co., Ltd.
12.16.1 Company Outlook
12.16.2 Role of the Company
12.16.3 Product Offerings
12.16.4 Competitive Position
12.16.4.1 Strengths of the Company
12.16.4.2 Weakness of the Company
12.17 Zebra Medical Vision, Inc.
12.17.1 Company Outlook
12.17.2 Role of the Company
12.17.3 Product Offerings
12.17.4 Competitive Position
12.17.4.1 Strengths of the Company
12.17.4.2 Weakness of the Company

For more information about this report visit https://www.researchandmarkets.com/r/1ywfpv


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Artificial Intelligence

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.
About XTX Markets:
XTX Markets is a leading financial technology firm which partners with counterparties, exchanges and e-trading venues globally to provide liquidity in the Equity, FX, Fixed Income and Commodity markets. XTX has over 200 employees based in London, Paris, New York, Mumbai, Yerevan and Singapore. XTX is consistently a top 5 liquidity provider globally in FX (Euromoney 2018-present) and is also the largest European equities (systematic internaliser) liquidity provider (Rosenblatt FY: 2020-2023).
The company’s corporate philanthropy focuses on STEM education and maximum impact giving (alongside an employee matching programme). Since 2017, XTX has donated over £100mn to charities and good causes, establishing it as a major donor in the UK and globally.
In a changing world XTX Markets is at the forefront of making financial markets fairer and more efficient for all.
 

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Hikvision redefines urban mobility with AIoT-powered solutions at Intertraffic 2024

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HANGZHOU, China, April 26, 2024 /PRNewswire/ — Hikvision made a significant appearance at Intertraffic Amsterdam, the leading global trade fair for mobility and traffic technology. At the trade event, Hikvision unveiled a suite of traffic, transport, and parking management solutions and products powered by Artificial Intelligence of Things (AIoT) technology, which promised to improve urban mobility, road safety, and operational efficacy.

Elevating urban traffic intelligence with AIoT
One highlight of the Hikvision stand was its intelligent urban traffic solution, which leveraged the power of AIoT to deliver comprehensive real-time monitoring, incident detection, and traffic control. This solution intelligently reshapes traffic dynamics, offering a more responsive and data-driven approach to enhance situational awareness and traffic management. Key innovations in the solution included:
Hikvision’s radar-video fusion camerasThese combine the range perception of radar with the visual perception of video. The 4 MP Radar and Video Vehicle Detector, for example, helps to enhance road safety by providing early warning of potential hazards in challenging situations such as blind spots at intersections and obstacles outside the visual range.Hikvision’s All-In-One Traffic SpotterThis stands out with its multifaceted design incorporating video, radar, and lighting technologies for heightened traffic violation detection. Its streamlined column design facilitates effortless installation.Hikvision’s Radar-Linked PTZ Camera This ensures consistent performance in adverse weather and lightening conditions, and minimizes false alarms with advanced deep-learning algorithms.Innovating parking management
Hikvision also introduced its parking management solutions. These combine extremely precise license plate recognition and intelligent barrier controls incorporating highly accurate radar sensors. This comprehensive approach enhances security, reduces the need for manual intervention, and streamlines traffic flow across parking areas. The Global Shutter CMOS* (GMOS) ANPR camera was a new addition to the lineup. Designed to seamlessly blend in the environment, it is tailored for the task of discreetly capturing license plates at parking facilities that prioritize subtlety.
Advancing public transportation safety and efficiency
Attendees also had the opportunity to explore Hikvision’s latest public transport solutions, integrating AI-driven analytics with advanced video security, on-site voice broadcasting, and centralized management for enhanced onboard security, improved passenger experience, and operational efficiency for buses and taxis. This included the Four-way monitoring system and the Panoramic Auxiliary System, both designed to reduce blind spots and provide high-definition imaging to improve driving safety.
“As ever, we are continually expanding our suite of technologies to enhance traffic safety and efficiency,” said Nick Wu, Project Product Director at Hikvision Europe. “Our commitment lies in minimizing the need for extensive roadside installations by incorporating comprehensive perception and robust AI within unified device frameworks. These innovations automate and streamline every aspect of traffic management, from violation detection to traffic flow monitoring, driving safety, and parking management.”
To find out more about Hikvision’s urban mobility products and solutions, please explore its official website.
Note: CMOS stands for Complementary Metal-Oxide-Semiconductor.
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