Artificial Intelligence
Global Smart Robots Market By Component, By Mobility, By Operating Environment, By End User, By Region, Industry Analysis and Forecast, 2020 – 2026
New York, Feb. 10, 2021 (GLOBE NEWSWIRE) — Reportlinker.com announces the release of the report “Global Smart Robots Market By Component, By Mobility, By Operating Environment, By End User, By Region, Industry Analysis and Forecast, 2020 – 2026” – https://www.reportlinker.com/p06021900/?utm_source=GNW
Smart robots are capable of learning from their environment and experience and develop their abilities on the basis of their knowledge. Also, Smart robots are capable to carry out both manual and cognitive tasks and are extensively used across many industries, like food & beverages, retail, automotive, healthcare, and manufacturing for several applications.
The major factors that push the market growth are the prominence of the Internet of Things (IoT), massive demand for AI applications and service robots. Though, high initial installation costs and low accuracy act as major restraints for the market growth. The market is anticipated to witness better growth prospects with the launch of automated equipment in the consumer electronics and manufacturing sectors. Installation of smart robots is primarily larger in end-use industries like automotive, manufacturing, healthcare, and retail due to features like efficiency and accuracy.
Due to the capability of these systems to work efficiently without the help of humans, the smart robots market is anticipated to display a considerable growth rate. These machines offer multiple advantages like superior efficiency, optimal power consumption, and a high frequency of data and instruction transmission. These factors are set to have a positive impact on market growth in the next few years. Thus, the market is anticipated to provide lucrative growth opportunities for the installation of modern technologies.
By Component
Based on Component, the market is segmented into Hardware and Software. Hardware segment is further segmented into Sensors, Actuators, Control systems, Power Sources and Others. On the basis of component, the software segment is anticipated to develop at a high CAGR during the forecast period in the Smart Robots market. The growing incorporation of advanced technology like the Internet of Things (IoT) and machine learning in smart robot software is boosting the development of the segment. In addition, technological developments in these technologies to manage the complications with respect to functions like inter-device connectivity and autonomous operations, will further fuel the demand for the software segment.
By Operating Environment
Based on Operating Environment, the market is segmented into Ground and Underwater. The Ground based robots market dominated the Global Smart Robots Market by Operating Environment 2019. The Underwater market would showcase promising growth during the forecast period, owing to its rising applications in marine and defense.
By Mobility
Based on Mobility, the market is segmented into Mobile and Stationary. The Mobile market dominated the Global Smart Robots Market by Mobility 2019. The Stationary robots market is estimated to grow at the highest CAGR of 28.7% during (2020 – 2026).
By End User
Based on End User, the market is segmented into Military & Defense, Logistics Management, Inspection & Maintenance, Field/Agricultural, Healthcare, Industrial, Domestic and Others. Fields such as public relations, logistics management, industrial, inspection & maintenance, field & agriculture, healthcare assistance, defense and security, law enforcement, and others come under the professional segment. The primary factor boosting the demand of the segment is the high demand for smart robots in the defense and marine sector in order to safeguard the border of a nation. Moreover, the rising production process complication and miniaturization of semiconductor and electronics devices are encouraging the acceptance of AI-integrated smart industrial robots, thereby fueling the market growth.
By Region
Based on Regions, the market is segmented into North America, Europe, Asia Pacific, and Latin America, Middle East & Africa. On the basis of region, the Asia-pacific region is estimated to develop at a higher growth rate during the forecast period due to the rising adoption of smart robots in multiple industries. The increasing geriatric population in Asia-Pacific nations like China and Japan, and growing need for smart home robots for personal assistance applications are boosting the demand of the market in this region. Further, rising government initiatives with respect to AI-based robots in developing countries of Asia-Pacific is boosting the market growth.
The major strategies followed by the market participants are Product Launches. Based on the Analysis presented in the Cardinal matrix; Amazon.com, Inc., and Samsung Electronics Co., Ltd. are the forerunners in the Smart Robots Market. Companies such as iRobot Corporation, ABB Group, FANUC Corporation, Yaskawa Electric Corporation, Teradyne, Inc., SoftBank Group Corporation, Hanson Robotics Limited, and Kuka 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 ABB Group, Kuka AG, FANUC Corporation, Yaskawa Electric Corporation, Samsung Electronics Co., Ltd. (Samsung Group), Amazon.com, Inc., iRobot Corporation, SoftBank Group Corporation (SoftBank Robotics), Teradyne, Inc. (Universal Robots) and Hanson Robotics Limited.
Recent strategies deployed in Smart Robots Market
Partnerships, Collaborations, and Agreements:
Sep-2020: Yaskawa signed an agreement with Phoenix Contact, a manufacturer of industrial automation, interconnection, and interface solutions. Under this agreement, PLCnext Technology from Phoenix Contact is used in the development of the next generation machine controller and PLC platform realizing the i3-Mechatronics solution concept lead by Yaskawa.
Aug-2020: FANUC entered into a partnership with Deep Learning Robotics Ltd., a leading technology company in the field of autonomous robotic learning. The partnership focused on providing Compatibility between DLR’s Smart Robot Learning Technology and FANUC’s Industrial Robots.
Jul-2020: Universal Robots extended its partnership with Phillips Corporation. This partnership boosted productivity and helped manufacturers emerge from the pandemic.
Feb-2020: ABB signed a partnership agreement with Covariant, Silicon Valley AI start-up. In this partnership, the companies bring AI-enabled robotics solutions to the market and started a fully autonomous warehouse order fulfillment solution.
Jan-2020: iRobot came into partnership with IFTTT, the leading integration and discovery platform. It allowed new embedded smart home integrations. The partnership helped the customers to easily combine devices and services, like smart thermostats, lighting, and home security, directly within the iRobot HOME App.
Dec-2019: FANUC came into partnership with Soft Robotics, an OEM supplier of our SuperPick and mGrip platform. The companies together focused on developing new gripper solutions. This partnership helps in boosting the adoption of integrated soft robotic solutions into high-growth automation markets worldwide.
Acquisition and Mergers:
Oct-2020: ABB acquired Codian Robotics B.V., supplier of high-speed pick & place robots. Under this acquisition, ABB accelerated its engagement in the growing field of delta robots.
Jun-2020: Amazon acquired Zoox, an American autonomous vehicle company. The acquisition added self-driving cars to its robotic fleet and it also helped Amazon to expand its reach into robotics and autonomous vehicles.
Nov-2019: Teradyne acquired AutoGuide Mobile Robots, a leading supplier of high payload autonomous mobile robots. The acquisition strengthened Teradyne’s position in the robotics and automation market.
Jun-2019: iRobot acquired Root Robotics, an app-controlled robot with a leveling system. The acquisition helped iRobot’s plans to diversify its educational robot product offerings, further demonstrating its commitment to creating a robotic technology more accessible to educators, students, and parents.
Apr-2019: SoftBank Robotics Group completed its acquisition of Kinema Systems, a robotics startup in the Silicon Valley building advanced robotic manipulation applications. This acquisition aimed to integrate Softbank’s robotic hands with deep learning technology to detect and move boxes on complex pallets.
Apr-2019: Amazon took over Canvas Technology, a warehouse robotics startup. With this acquisition, Amazon continues to automate parts for its warehouses, deploying robots alongside human workers.
Feb-2019: Amazon acquired a robotics company, Dispatch. Following the acquisition, Amazon introduced a six-wheeled urban delivery robot called Scout.
Sep-2018: ABB completed its acquisition of AB Rotech, a provider of robotic welding solutions and services for the automotive industry. The acquisition enhanced ABB’s robotic welding solutions for all tiers in the growing automotive segment.
Jun-2017: SoftBank took over Boston Dynamics and Schaft. The acquisition indicated that SoftBank intended on taking humanoids to the next level. The acquisition also expanded the artificial intelligence portfolio of the company.
Product Launches and Product Expansions:
Oct-2020: ABB unveiled its new IRB 760 industrial robot range, the IRB 760PT. It provided fast and flexible performance for automotive press automation.
Sep-2020: iRobot Corporation launched the new Roomba i3+, a stylish new Roomba vacuum with advanced features. The Roomba i3+ provides intelligent navigation, self-emptying capability with Clean Base Automatic Dirt Disposal, and an expanded range of personalized cleaning features powered by the recently launched iRobot Genius Home Intelligence.
Aug-2020: iRobot introduced a new intelligence platform called iRobot Home Genius Intelligence. This platform changed the way customers interact with their networked robots and may become the integration point for the smart home.
Jul-2020: Amazon employs its contactless delivery service to Atlanta and Franklin Tennessee through the Amazon Scout, an electric autonomous mobile robot. This news was launched as the coronavirus continues to keep consumers home and social distancing to avoid infection.
Dec-2019: FANUC introduced a new lightweight Collaborative Robot. This lightweight collaborative robot aimed for a totally new level of industrial robots working hand in hand with manufacturing workers.
Dec-2019: FANUC expanded its global footprint in Europe. The company launched its Industrial IoT platform FIELD system and sold this system to the European market later in 2019. The FIELD system has the capability to connect several production machines like robots or machining centers of different generations from all manufacturers in a plant.
Dec-2019: Yaskawa introduced an explosion-proof industrial robot for painting, Motoman MHP 45L. This robot broadened the range of painting robots optimized for different applications from small to large applications such as smartphones or automotive.
Nov-2019: B&R, a division of ABB’s Robotics and Discrete Automation business combined its automation portfolio into ABB robots. Following the integration, B&R launched the first fully integrated Machine-Centric Robotics solution. With this solution, B&R aimed to supply machine automation and robotics from a single source.
Sep-2019: Yaskawa Motoman introduced the updates to ArcWorld 50 Series Workcells for Robotic Welding. Each ArcWorld 50 model features an AR1440 welding robot, compact YRC1000 controller with menu-driven arc welding application software, combined welding package, operator station, one or two powered roll-up door(s), and a total safety environment.
Feb-2019: Samsung unveiled New Robots to ’Make Your Lives’ Easier that includes a Robotic Arm. It assists in the Kitchen.
Jan-2019: iRobot introduced Terra Mow, a mower. It reduced the need for costly and labor-intensive boundary wires.
Jan-2019: Hanson Robotics Limited unveiled its next innovation in consumer robots: Little Sophia. Little Sophia teaches STEM, coding, and artificial intelligence (AI), with a playful personality and unmatched characteristics of the renowned Sophia the Robot.
Jan-2019: Samsung launched a new personal care robot, an AI-powered robot, called Ballie. It uses artificial intelligence to assist seniors to connect with smart devices in the home and serve as a fitness assistant.
Scope of the Study
Market Segments covered in the Report:
By Component
• Hardware
o Sensors
o Actuators
o Control systems
o Power Sources
o Others
• Software
By Mobility
• Mobile
• Stationary
By Operating Environment
• Ground
• Underwater
By End User
• Military & Defense
• Logistics Management, Inspection & Maintenance
• Field/Agricultural
• Healthcare
• Industrial
• Domestic
• 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
• ABB Group
• Kuka AG
• FANUC Corporation
• Yaskawa Electric Corporation
• Samsung Electronics Co., Ltd. (Samsung Group)
• Amazon.com, Inc.
• iRobot Corporation
• SoftBank Group Corporation (SoftBank Robotics)
• Teradyne, Inc. (Universal Robots)
• Hanson Robotics Limited
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/p06021900/?utm_source=GNW
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Artificial Intelligence
$10 million Artificial Intelligence Mathematical Olympiad Prize appoints further advisory committee members
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.
View original content:https://www.prnewswire.co.uk/news-releases/10-million-artificial-intelligence-mathematical-olympiad-prize-appoints-further-advisory-committee-members-302128542.html
Artificial Intelligence
Hikvision redefines urban mobility with AIoT-powered solutions at Intertraffic 2024
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.
Photo – https://mma.prnewswire.com/media/2398456/Hikvision_redefines_urban_mobility_AIoT_powered_solutions_Intertraffic_2024.jpgPhoto – https://mma.prnewswire.com/media/2398459/Hikvision_redefines_urban_mobility_AIoT_powered_solutions_Intertraffic_2024.jpg
View original content:https://www.prnewswire.co.uk/news-releases/hikvision-redefines-urban-mobility-with-aiot-powered-solutions-at-intertraffic-2024-302128527.html
Artificial Intelligence
London Blockchain Conference Launches the No Future Campaign
LONDON, April 26, 2024 /PRNewswire/ — The London Blockchain Conference is excited to announce the launch of its ground-breaking, ‘No Future Campaign’. This initiative aims to create a strong narrative surrounding blockchain technology by challenging perceptions and sparking conversations. By creating this platform, the campaign aims to instil a fear of missing out (FOMO) sensation among the audience, positioning the London Blockchain Conference as a gateway to securing a stake in the future and unlocking the potential of blockchain technology.
With a bold and evocative narrative theme, the campaign will initially confront the audience with a jarring reality check of “NO FUTURE” and then resolve the statement “WITHOUT BLOCKCHAIN” to spark curiosity and engagement with the optimistic revelation that blockchain holds the key to a prosperous future.
The ‘No Future Campaign’ started on 17 April 2024 with the London Blockchain Conference creating and executing content on/with media platforms and partnerships:
Wharf Life inserts (17/04/2024) – Print and a digital advert/editorial-sponsored pieces.Animations being released on paid and organic channels in a 3-week campaign.Alex Stein, Conference Director said, “The No Future Campaign is a call for individuals, enterprises, and governments to recognise the importance and role of blockchain in shaping the future. Through the London Blockchain Conference, we aim to educate and inspire attendees to understand and harness the potential of blockchain technology.”
The three-day London Blockchain Conference at the ExCel will bring together politicians, business leaders, and innovators. The conference will be running from 21 – 23 May 2024 and will focus on disruptive and real-world applications of blockchain technology and the impact it is having on politics, emerging technologies, and enterprises.
For more information about the ‘No Future campaign’, visit the London Blockchain Conference website.
About the London Blockchain Conference
NETWORK. LEARN. ENGAGE.
At the London Blockchain Conference, we show how Blockchain will change the world and help people see another way to manage data, build scalable on-chain solutions and achieve great things. We do this by creating valuable, insightful, and engaging events that educate and inform, allowing you to connect and network to build strong business relationships. Our conference is the best avenue to see blockchain innovations, ecosystem announcements, product launches, technology updates, keynote speeches, panels, and fireside chats from blockchain leaders. Join us and experience it for yourself.
View original content:https://www.prnewswire.co.uk/news-releases/london-blockchain-conference-launches-the-no-future-campaign-302128526.html
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