Artificial Intelligence
Artificial Intelligence Startup Labelbox Closes $25 Million in Series B Funding
SAN FRANCISCO, Feb. 04, 2020 (GLOBE NEWSWIRE) — Labelbox, the leading training data platform for enterprise machine learning applications, today announced the close of a $25 million Series B funding round led by Andreessen Horowitz with General Partner Peter Levine joining the Labelbox board of directors. Previous investors First Round Capital, Gradient Ventures (Google’s AI-focused venture fund) and Kleiner Perkins also participated. To date, Labelbox has raised $39 million in venture funding.
Labelbox offers a training data platform for machine learning teams to build real-world artificial intelligence. The platform consists of label editor tools, batch & real-time labeling workflows, collaboration, quality review, analytics, and an optional, fully managed and dedicated labeling workforce. With state-of-the-art algorithms available for free and AI computing costs drastically reducing, high-quality labeled training data is the most valuable asset for enterprises adopting supervised learning solutions. In less than two years, Labelbox has become a foundational piece of infrastructure for more than one hundred companies that are operating production-grade AI today.
The world is very quickly moving into a new paradigm where domain experts directly teach artificial intelligence about the skilled work they want it to do. This new paradigm is often called data-centric programming or Software 2.0. Labelbox aims to become the de-facto training data platform for Software 2.0, similar to what GitHub is for Software 1.0. The Labelbox platform focuses today on computer vision applications but can handle all forms of data.
Labelbox is defining a new category: training data platform. The Labelbox product provides scalable tools, workflows, collaboration, quality review, and automation to its customers on a unified platform. Customers are taking control of their data and using various out-of-the-box labeling tools and workflows to reliably build products and services with AI. In addition, Labelbox is accelerating new AI development across the enterprise because it serves as the company’s central hub for all training data.
“If GitHub has become the platform for managing and developing software code, then Labelbox has the potential to fill a similar role for data in the AI/ML world,” said Peter Levine, general partner at Andreessen Horowitz. “We see Labelbox becoming the single source of truth for defining, storing, and accessing training data across an entire organization. We are thrilled to partner with company founders Manu, Brian, Dan, and the team to help them realize their vision.”
Sharma saw the opportunity to start Labelbox while working at Planet Labs, the California company that photographs the earth from space and analyzes more than seven terabytes of images daily in various ways. Engineers at Planet Labs needed a software platform to create and manage training data at scale and there was no off-the-shelf solution, so they built one themselves. “A lot of this tooling was being built from scratch,” said Sharma. “It seemed crazy to us that data scientists were building core infrastructure in order to get started with AI.”
Sharma and his Labelbox co-founders realized Planet Labs wasn’t alone. Every company building supervised learning models faced the same problem. So they started Labelbox, an alternative to turning data over to ‘black box’ labeling services where companies have no control.
Labelbox is currently being used by industries as diverse as agriculture (where it is used to identify weeds in fields, for example), to insurance (to spot risks), to sports analysis (to track the spin on balls or the actions of players on the field), to healthcare (identifying tumors or cells). With the new funding, Labelbox intends to accelerate its roadmap and go to market. As supervised learning transforms economies around the world, the opportunities for Labelbox are seemingly endless.
About Labelbox
Founded in 2018 and based in San Francisco, Labelbox is a collaborative training data platform for machine learning applications. Rather than requiring companies to build their own expensive and incomplete homegrown tools to create or manage training data, Labelbox created the world’s first training data platform that acts as a central hub for data science teams to create and manage training data with internal or external labeling teams. Better ways to input and manage data means higher quality training data and more accurate machine-learning models. Labelbox has raised $39 million in capital from leading VCs in Silicon Valley. For more information, visit: https://www.labelbox.com/
Editorial Contact
Lonn Johnston for Labelbox
+1 650.219.7764
[email protected]
Artificial Intelligence
SUPCON Unveils Groundbreaking Products in June, Including the World’s First UCS
HANGZHOU, China, April 24, 2024 /PRNewswire/ — In June, SUPCON (688777) is poised to launch two groundbreaking products in Singapore: the world’s first UCS (Universal Control System) and TPT (Time-Series Pre-trained Transformer), the first time-series model in the process industry.
UCS, a revolutionary innovation from SUPCON, is set to revolutionize the 50-year-old DCS architecture, promising to eliminate traditional control cabinets.
TPT, as the pioneering time-series model in the process industry, will replace numerous traditional industrial apps and overcome unsolved industrial challenges.
SUPCON, founded in 1999, is a prominent global provider of intelligent manufacturing solutions for process industries. The company is committed to the development and application of AI technology through the integration of advanced products and extensive industry know-how. With a global customer exceeding 30,000, SUPCON’s products address all needs across over 50 countries and regions, encompassing sectors like oil & gas, refinery & petrochemical, chemical, etc. Aiming at high-quality and sustainable development, SUPCON is on the way to facilitate the automation and intelligentization of the global process industry.
In 2023, SUPCON’s core products, the Distributed Control System (DCS) and the Safety Instrumented System (SIS), both claimed the top market share position in China, achieving respective figures of 37.8% and 33.7%. Notably, the DCS has maintained the No.1 position for a consecutive 13th year.
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Artificial Intelligence
Automation Anywhere Appoints Tim McDonough as Chief Marketing Officer to Drive Global Awareness and Growth for the Leader in AI-Powered Automation
SAN JOSE, Calif., April 23, 2024 /PRNewswire/ — Automation Anywhere, a leader in AI-powered automation solutions, announced that AI marketing leader Tim McDonough joined the company as chief marketing officer (CMO). McDonough, who brings more than two decades of experience in driving growth across startups and Fortune 100 companies, will shape and lead Automation Anywhere’s global brand and growth strategies and go-to-market functions.
McDonough joins Automation Anywhere from Intel, where he recently served as vice president and CMO of AI and data centers. McDonough oversaw the transformation of the $14 billion-plus business unit, while guiding the company’s strategy and positioning in the AI market.
“Tim joins us at an incredible time in our journey as we experience a new phase of growth ignited by the transformative benefits of our generative AI process automation models that are transforming our customers’ businesses,” said Mihir Shukla, CEO, Automation Anywhere. “Tim’s impressive experience will be instrumental in our efforts to empower organizations to achieve amazing results by automating more than forty percent of workflows and tasks, and saving millions, even billions, of dollars.”
Prior to Intel, McDonough held executive roles at leading technology companies, including Unity Technologies, Qualcomm, and Microsoft. McDonough’s track record of enterprise and C-suite marketing spans developed and emerging technologies, including AI tools, applications, software-as-a-service (SaaS) solutions, and developer ecosystems.
“I’m looking forward to helping lead Automation Anywhere through its next phase growth as it helps companies transform their business,” said McDonough. “Seeing how customers are innovating with Automation Anywhere’s platform demonstrated to me the incredible market opportunity we have. When you combine automation with generative AI, customers can now go beyond task or departmental impact and automate at an enterprise level, empowering companies and employees to do their very best work.”
McDonough’s appointment comes at a time of remarkable opportunity for the company, marked by Automation Anywhere’s recent record-breaking fourth-quarter performance, continued profitability, and strong outlook in its current fiscal year. Last quarter, Automation Anywhere reported 50 percent growth in large enterprise deals from the previous quarter, highlighting the company’s momentum and strong market position.
About Automation Anywhere
Automation Anywhere is the leader in AI-powered process automation that puts AI to work across organizations. The company’s Automation Success Platform is powered with generative AI and offers process discovery, RPA, end-to-end process orchestration, document processing, and analytics, with a security and governance-first approach. Automation Anywhere empowers organizations worldwide to unleash productivity gains, drive innovation, improve customer service, and accelerate business growth. The company is guided by its vision to fuel the future of work by unleashing human potential through AI automation. Learn more at http://www.automationanywhere.com/.
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Artificial Intelligence
AI Supercomputing Market Growing at +21% CAGR as Industries Evolve Data Analysis
USA News Group News Commentary
VANCOUVER, BC, April 23, 2024 /PRNewswire/ — USA News Group News Commentary – Numerous industries are making the shift towards using Artificial Intelligence (AI) supercomputers in leveraging powerful computing systems to address complex challenges, and analyze massive datasets. According to analysts at Markets and Markets the AI supercomputer market is projected to grow at a CAGR of 22% through 2028 to a value of US$3.3 billion. This high level of growth is echoed by analysts at Technavio, who are projecting nearly 21% growth through 2027, however, they are seeing the overall supercomputer market much higher, growing by US$17.6 billion along the way. Several international groups are with massive investments in the billions to evolve their operations to include AI supercomputing, including in Denmark, the UK, Japan, the UAE and the USA. Powering this shift behind the scenes are several tech developers, who this week have been updating the market with their current developments, including: Avant Technologies Inc. (OTC: AVAI), NVIDIA Corporation (NASDAQ: NVDA) (NEO: NVDA), Microsoft Corporation (NASDAQ: MSFT) (NEO: MSFT), D-Wave Quantum Inc. (NYSE: QBTS), and Rigetti Computing, Inc. (NASDAQ: RGTI, RGITW).
The article continued: Moving forward, new regulations and safeguards are being put into place, as seen in the USA when the Biden Administration enacted an AI Executive Order to create new standards for AI safety and security. As well, the Council of the European Union filed a proposal for the regulation of harmonized rules on AI in the EU.
Avant Technologies Launches Advanced AI Supercomputing Network and Expansive Data Solutions
Avant Technologies, Inc. (OTCQB: AVAI) (“Avant” or the “Company”), an artificial intelligence technology (AI) company specializing in the development of advanced AI and data center infrastructure solutions, announced today that it’s introducing a state-of-the-art supercomputing network and comprehensive licensable dataset. Avant will be collaborating with its technology partner, Wired4Tech, to launch these pivotal developments, which are engineered to accelerate AI adoption and innovation across a broad spectrum of industries.
“Avant’s supercomputing network and our expansive licensable dataset will facilitate significant advancements in AI- driven solutions,” said Danny Rittman, Chief Information Officer of Avant of the launch. “By providing robust computational resources and a rich dataset, Avant is set to eliminate many of the technical and financial barriers that have traditionally hampered AI development. This initiative aims to empower developers with the tools necessary to create more sophisticated and efficient AI models, driving progress and innovation in innumerable fields.”
Highlights of Avant’s Offerings:
Versatile AI Dataset: Available from Q3, this dataset will be regularly updated to support a wide array of AI projects, providing a solid foundation for development, and reducing the time to market for AI solutions.Dynamic Resource Scaling: The network dynamically adjusts computing resources to meet real-time demands, maximizing efficiency and minimizing costs.Accelerated AI Processing: Utilizes cutting-edge distributed computing to dramatically reduce data processing times, enabling rapid iteration and deployment of AI models.Robust Security Measures: Top-tier security protocols are in place to ensure data integrity and compliance with stringent regulatory standards.Seamless Integration: Designed to integrate smoothly with existing AI development environments, minimizing disruptions and simplifying technology adoption.Avant is committed to advancing the AI landscape by providing scalable solutions that will benefit diverse sectors looking to harness the power of artificial intelligence.
CONTINUED… Read this and more news for Avant Technologies at: https://usanewsgroup.com/2023/10/26/unlocking-the-trillion-dollar-ai-market-what-investors-need-to-know/
In other industry developments and happenings in the market this week include:
NVIDIA Corporation (NASDAQ: NVDA) (NEO: NVDA), a global leader in providing graphics and compute and networking solutions, recently received an investment of ~US$960 million from Japanese telecommunications company Softbank to enhance its supercomputing power and to support an ambitious generative AI (GenAI) strategy.
Generative AI is increasingly being incorporated into products and services across multiple sectors. A recent projection by Statista, a research firm based in Germany, predicts that the market for generative AI in Japan will expand to approximately $13 billion by 2030, representing a 17x increase from its size in 2023.
Microsoft Corporation (NASDAQ: MSFT) (NEO: MSFT), a global leader in developing and supporting software, services, devises and solutions recently announced it would be investing $1.5 billion into Abu Dhabi’s G42, the leading UAE-based AI tech holding company, to accelerate AI development and global expansion.
“Microsoft’s investment in G42 marks a pivotal moment in our company’s journey of growth and innovation, signifying a strategic alignment of vision and execution between the two organizations,” said H.H. Sheikh Tahnoon bin Zayed Al Nahyan, Chairman of G42. “This partnership is a testament to the shared values and aspirations for progress, fostering greater cooperation and synergy globally.”
G42 will operate its AI applications and services on Microsoft Azure, collaborating to offer advanced AI solutions to global public sector clients and large enterprises. Together, G42 and Microsoft aim to enhance AI and digital infrastructure across the Middle East, Central Asia, and Africa. This collaboration will help these regions gain fair access to services that address key government and business issues, while upholding the highest standards of security and privacy.
D-Wave Quantum Inc. (NYSE: QBTS), a leader in quantum computing systems, software, and services and the world’s first commercial supplier of quantum computers recently announced the launch the first fast-anneal feature, available now on all of D-Wave’s quantum processing units (QPUs) in the LeapTM real-time quantum cloud service. The fast-anneal feature has been central to D-Wave’s key research achievements, as highlighted in publications in Nature Physics and Nature, showing how annealing quantum computing outperforms traditional algorithms in tackling complex optimization problems.
“Providing direct access to Fast Anneal, which has been at the heart of D-Wave’s recent advancements, represents a significant step forward in our mission to provide customers with the resources they need to drive innovation and achieve extraordinary results,” said Dr. Alan Baratz, CEO of D-Wave. “We believe it will further empower them to build industry-shaping applications with the most powerful quantum computing environment available today.”
With enhanced control allowing for notably quicker annealing times than before, this feature enables customers to replicate and expand upon D-Wave’s significant optimization results. Now widely available, this feature allows users to execute quantum computations at unprecedented speeds, significantly mitigating issues like thermal fluctuations and noise that typically disrupt quantum calculations.
Rigetti Computing, Inc. (NASDAQ: RGTI, RGITW), a pioneer in full-stack quantum-classical computing, recently announced the successful completion of its Innovate UK project with Oxford Instruments to launch one of the first UK-based quantum computers. The consortium also included the Quantum Software Lab at the University of Edinburgh, Phasecraft, and Standard Chartered Bank, with financial backing from the UK government’s Quantum Technologies Challenge, led by UK Research & Innovation (UKRI).
“Completing this project, with the end result being a useful 32-qubit quantum computer, is an exceptional achievement for all of the project partners,” said Dr. Subodh Kulkarni, CEO of Rigetti. “It takes a world-class team to build and deploy a quantum computer. The UK has become a world leader in quantum computing technologies, and we are excited to continue to contribute to its quantum computing capabilities. Additionally, Rigetti plans to leverage this experience to continue to develop our UK quantum computing leadership as we embark on deploying a 24-qubit Ankaa-class quantum computer at the NQCC’s Harwell campus.”
Source: https://usanewsgroup.com/2023/10/26/unlocking-the-trillion-dollar-ai-market-what-investors-need-to-know/
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View original content:https://www.prnewswire.co.uk/news-releases/ai-supercomputing-market-growing-at-21-cagr-as-industries-evolve-data-analysis-302124990.html
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