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Artificial Intelligence

Cerebras and G42 Unveil World’s Largest Supercomputer for AI Training with 4 exaFLOPs to Fuel a New Era of Innovation

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Launching today with its first of nine interconnected AI supercomputers, the Condor Galaxy system will reach a combined AI training capacity of 36 exaFLOPs
SUNNYVALE, Calif., July 20, 2023 /PRNewswire/ — Cerebras Systems, the pioneer in accelerating generative AI, and G42, the UAE-based technology holding group, today announced Condor Galaxy, a network of nine interconnected supercomputers, offering a new approach to AI compute that promises to significantly reduce AI model training time. The first AI supercomputer on this network, Condor Galaxy 1 (CG-1), has 4 exaFLOPs and 54 million cores. Cerebras and G42 are planning to deploy two more such supercomputers, CG-2 and CG-3, in the U.S. in early 2024. With a planned capacity of 36 exaFLOPs in total, this unprecedented supercomputing network will revolutionize the advancement of AI globally.
“Collaborating with Cerebras to rapidly deliver the world’s fastest AI training supercomputer and laying the foundation for interconnecting a constellation of these supercomputers across the world has been enormously exciting. This partnership brings together Cerebras’ extraordinary compute capabilities, together with G42’s multi-industry AI expertise. G42 and Cerebras’ shared vision is that Condor Galaxy will be used to address society’s most pressing challenges across healthcare, energy, climate action and more,” said Talal Alkaissi, CEO of G42 Cloud, a subsidiary of G42.
Located in Santa Clara, California, CG-1 links 64 Cerebras CS-2 systems together into a single, easy-to-use AI supercomputer, with an AI training capacity of 4 exaFLOPs. Cerebras and G42 offer CG-1 as a cloud service, allowing customers to enjoy the performance of an AI supercomputer without having to manage or distribute models over physical systems.
CG-1 is the first time Cerebras has partnered not only to build a dedicated AI supercomputer but also to manage and operate it. CG-1 is designed to enable G42 and its cloud customers to train large, ground-breaking models quickly and easily, thereby accelerating innovation. The Cerebras-G42 strategic partnership has already advanced state-of-the-art AI models in Arabic bilingual chat, healthcare and climate studies. 
“Delivering 4 exaFLOPs of AI compute at FP 16, CG-1 dramatically reduces AI training timelines while eliminating the pain of distributed compute,” said Andrew Feldman, CEO of Cerebras Systems. “Many cloud companies have announced massive GPU clusters that cost billions of dollars to build, but that are extremely difficult to use. Distributing a single model over thousands of tiny GPUs takes months of time from dozens of people with rare expertise. CG-1 eliminates this challenge. Setting up a generative AI model takes minutes, not months and can be done by a single person. CG-1 is the first of three 4 exaFLOP AI supercomputers to be deployed across the U.S. Over the next year, together with G42, we plan to expand this deployment and stand up a staggering 36 exaFLOPs of efficient, purpose-built AI compute.”
A leading AI and cloud computing company based in the UAE, G42 is driving large-scale digital transformation initiatives globally. The UAE was the first nation to appoint a Minister for AI in their federal government, followed by massive investments, including the establishment of G42 research partner, Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), the first post-graduate university in the world focused entirely on AI.
Training large models requires huge amounts of compute, vast datasets, and specialized AI expertise. The partnership between G42 and Cerebras delivers on all three of these elements. With the Condor Galaxy supercomputing network, the two companies are democratizing AI, enabling simple and easy access to the industry’s leading AI compute. G42’s work with diverse datasets across healthcare, energy and climate studies will enable users of the systems to train new cutting-edge foundational models. These models and derived applications are a powerful force for good. Finally, Cerebras and G42 bring together a team of hardware engineers, data engineers, AI scientists, and industry specialists to deliver a full-service AI offering to solve customers’ problems. This combination will produce ground-breaking results and turbo charge hundreds of AI projects globally.
About Condor Galaxy 1 (CG-1)Optimized for Large Language Models and Generative AI, CG-1 delivers 4 exaFLOPs of 16 bit AI compute, with standard support for up to 600 billion parameter models and extendable configurations that support up to 100 trillion parameter models. With 54 million AI-optimized compute cores, 388 terabits per second of fabric bandwidth, and fed by 72,704 AMD EPYC processor cores, unlike any known GPU cluster, CG-1 delivers near-linear performance scaling from 1 to 64 CS-2 systems using simple data parallelism.
“AMD is committed to accelerating AI with cutting edge high-performance computing processors and adaptive computing products as well as through collaborations with innovative companies like Cerebras that share our vision of pervasive AI,” said Forrest Norrod, executive vice president and general manager, Data Center Solutions Business Group, AMD. “Driven by more than 70,000 AMD EPYC processor cores, Cerebras’ Condor Galaxy 1 will make accessible vast computational resources for researchers and enterprises as they push AI forward.”
CG-1 offers native support for training with long sequence lengths, up to 50,000 tokens out of the box, without any special software libraries. Programing CG-1 is done entirely without complex distributed programming languages, meaning even the largest models can be run without weeks or months spent distributing work over thousands of GPUs.
Located at Colovore, a high-performance colocation facility in Santa Clara, California, CG-1 is operated by Cerebras under U.S. laws, ensuring state of the art AI systems are not used by adversary states. Each Cerebras CS-2 system is designed, packaged, manufactured, tested, and integrated in the U.S.; Cerebras is the only AI hardware company to package processors and manufacture AI systems in the U.S.
CG-1 is the first of three 4 exaFLOP AI supercomputers (CG-1, CG-2, and CG-3), built and located in the U.S. by Cerebras and G42 in partnership. These three AI supercomputers will be interconnected in a 12 exaFLOP, 162 million core distributed AI supercomputer consisting of 192 Cerebras CS-2s and fed by more than 218,000 high performance AMD EPYC CPU cores. G42 and Cerebras plan to bring online six additional Condor Galaxy supercomputers in 2024, bringing the total compute power to 36 exaFLOPs.
Access to CG-1 is available now. For more information, please visit www.condorgalaxy.ai.
Condor Galaxy Brand InspirationThe Condor Galaxy, also known as NGC 6872, stretches 522,000 light years from tip to tip, which is about 5 times larger than the Milky Way. The galaxy is visible in the southern skies as part of the Pavo constellation and is 212 million light-years from Earth.
About Cerebras SystemsCerebras Systems is a team of pioneering computer architects, computer scientists, deep learning researchers, and engineers of all types. We have come together to build a new class of computer system, designed for the singular purpose of accelerating generative AI work. Our flagship product, the CS-2 system, powered by the world’s largest and fastest AI processor, makes training large models simple and easy, by avoiding the complexity of distributed computing. Cerebras solutions are available in the cloud, through the Cerebras AI Model Studio or on premises. For further information, visit https://www.cerebras.net.
About G42G42 is a global leader in creating visionary artificial intelligence capabilities for a better tomorrow. Born in Abu Dhabi and operating around the world, G42 champions AI as a powerful force for good. Its people are constantly reimagining what technology can do, applying advanced thinking and innovation to accelerate progress and tackle society’s most pressing problems. G42 is joining forces with nations, corporations, and individuals to create the infrastructure for tomorrow’s world. From molecular biology to space exploration and everything in between, G42 realizes exponential possibilities, today. For further information, visit www.g42.ai.
Contact: Giacomo [email protected]  
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Pearson augments nursing content with generative AI study tools to improve nursing education and address shortages

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HOBOKEN, N.J., May 17, 2024 /PRNewswire/ — Pearson (FTSE: PSON.L), the world’s leading learning company, today announced the integration of AI study tools into its Nursing: A Concept-Based Approach to Learning series, the only nursing concepts curriculum built from the ground up as a comprehensive, cohesive learning system.

Pearson’s AI study tools combine the power of generative AI technology with trusted Pearson content to provide scaffolded, guided help when students are stuck on homework problems, and personalized explanations, summaries, and practice problems for more efficient studying.
“Integrating AI study tools into our concept-based nursing series enhances the learning experience, giving nursing students and nurse educators the resources they need to efficiently study and master course concepts,” said Anne Fahlgren, GM of Pearson’s professional portfolio. “This technology will help more nursing candidates prepare for and enter the workforce, while also giving nurse educators the means to scale their teaching further, addressing major challenges in nursing education and society.”
The AI study tools beta will be available both in Pearson+ eTextbook and the accompanying MyLab Nursing course in time for Fall 2024. MyLab is an interactive teaching and learning platform, backed by content from Pearson authors. The platform, with integrated eTextbook, allows instructors to design their course, assign homework and assessments, and monitor student progress in real time.
The US is experiencing shortages of nurses and nurse educators. The National Academy of Medicine’s 2021 report on The Future of Nursing: 2020-2030 notes that, in order to provide sufficient care for an aging population over the next decade, a substantial increase in the nursing workforce will be needed that can practice “in community-based settings with diverse populations that face a variety of lived experiences.” The NAM’s report also references hundreds of nursing faculty position vacancies that have contributed to tens of thousands of qualified applicants being turned away from nursing school admission due to the inability to adequately meet student demand.
Concept-based nursing curriculum is designed to focus on key concepts emphasizing a holistic understanding of nursing principles that can be applied across different patient populations, healthcare settings, and situations. This approach strengthens clinical reasoning skills in the course of patient care. Incorporating generative AI tools into Pearson’s concept-based nursing content supports nurse educators in scaling their teaching and students’ ability to study more efficiently.
Dr. Michelle Aebersold, University of Michigan School of Nursing Clinical Professor and contributor to Nursing: A Concept-Based Approach to Learning, said “Technological advancements like generative AI are transforming the nursing profession. The ability to adapt in a rapidly changing environment is a critical healthcare skill, whether it’s in the course of patient care or in preparing our future nurses for the workforce. The ability of the AI study tools to provide a more user-centered, customized experience is a huge benefit for our students. I’m glad they will have access to Pearson’s AI tools that accommodate the variety of ways students learn and provide personalized support in the moment students need it most. This is the future of individualized learning.”
A Fall 2023 survey of students using Pearson’s AI study tools beta showed strong levels of engagement, with 75% of respondents saying the tools were helpful or very helpful to their studies.
The inclusion of generative AI study tools further solidifies Pearson’s dedication to providing the most comprehensive and effective learning and teaching resources for nursing students and nurse educators across the US. Pearson’s AI study tools are already available in more than 30 Pearson Mastering titles and are set to be integrated into more than 40 Pearson+ eTextbooks and MyLab and Mastering titles across math, science, business, and nursing for August of 2024.
Pearson is committed to investing in the responsible application of AI to advance product innovation and enhance the learning experience to educate, certify, and credential students and the workforce.
Pearson product experts are available to demo the AI study tools for members of the media. Please request demonstrations with the media contact below.
About Pearson
At Pearson, our purpose is simple: to add life to a lifetime of learning. We believe that every learning opportunity is a chance for a personal breakthrough. That’s why our c. 18,000 Pearson employees are committed to creating vibrant and enriching learning experiences designed for real-life impact. We are the world’s leading learning company, serving customers in nearly 200 countries with digital content, assessments, qualifications, and data. For us, learning isn’t just what we do. It’s who we are. Visit us at pearsonplc.com.
Media [email protected]
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Brainomix Achieves Breakthrough with FDA Clearance of e-Lung AI Software

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Established market leader in stroke AI imaging receives its first FDA clearance in the lung imaging space.With this expanded foundation of AI-driven healthcare solutions, the Oxford-based company remains committed to driving innovation and delivering impactful advancements in imaging biomarkers.OXFORD, England, and CHICAGO, May 17, 2024 /PRNewswire/ — Brainomix, a pioneer in artificial intelligence (AI) imaging solutions to enable precision medicine, is proud to announce the FDA clearance of its latest product, Brainomix 360 e-Lung. Brainomix’s entry into the lung imaging space follows a series of successful clearances and widespread clinical adoption of its Brainomix 360 Stroke platform in both the US and Europe.

The clearance of e-Lung marks a significant milestone in Brainomix’s journey to expand its footprint in medical imaging beyond stroke-related applications and represents a notable step forward in the quest for advanced lung imaging solutions. The company, with its rich academic heritage and record of scientific excellence, will expand its research collaborations in the pulmonology space to yield new insights to inform future iterations of e-Lung and chart a path towards continual improvements for the lung imaging technology.
Dr Deji Adegunsoye, Assistant Professor of Medicine and Scientific Director of the Interstitial Lung Disease Program at University of Chicago Medicine, said: “This is an exciting step for Brainomix, who have a demonstrated track record of developing novel AI-based solutions in stroke and are now applying that expertise to develop innovative tools in the lung space. The preliminary data for e-Lung is impressive and would indicate that we have a promising tool that could help to expedite healthcare delivery and improve clinically meaningful outcomes for patients with lung disease.”
Brainomix recently announced the publication of a new study1 in the prestigious peer-reviewed journal American Journal of Respiratory and Critical Care Medicine (AJRCCM), resulting from a research collaboration with AstraZeneca. The results showed that Brainomix’s proprietary lung imaging biomarkers, which include the weighted reticulovascular score (WRVS), stratified patients at risk of Idiopathic Pulmonary Fibrosis (IPF) progression, outperforming standard measures.
Dr Michalis Papadakis, CEO and Co-Founder of Brainomix, said: “We are harnessing our expertise in AI-powered imaging to develop novel biomarkers in other disease indications where AI can support imaging-based diagnostic and treatment decisions.
“This e-Lung FDA clearance reflects our focus on developing innovative solutions that empower healthcare professionals with cutting-edge tools for sophisticated disease evaluation, enhancing access to treatments that can ultimately work to improve patient outcomes.”
Brainomix will be presenting its latest e-Lung data at the American Thoracic Society (ATS) annual conference in San Diego May 17th – 22nd, including results from research collaborations with Heidelberg University and with Seattle-based Avalyn Pharma.
Am. J. Respir. Crit. Care Med.: 2024 Feb 16 – e-Lung CT Biomarker Stratifies Patients at Risk of IPF Progression in a 52-Week Clinical Trialhttps://www.atsjournals.org/doi/abs/10.1164/rccm.202312-2274LEAbout Brainomix
Brainomix specializes in the creation of AI-powered software solutions to enable precision medicine for better treatment decisions in stroke and lung fibrosis. With origins as a spin-out from the University of Oxford, Brainomix is an expanding commercial-stage company with offices in the UK, Ireland and the USA, and operations in more than 30 countries. A private company, backed by leading healthtech investors, Brainomix has innovated award-winning imaging biomarkers and software solutions that have been clinically adopted in hundreds of hospitals worldwide. Its first product, the Brainomix 360 stroke platform, provides clinicians with the most comprehensive stroke imaging solution, driving increased treatment rates and improving functional independence for patients.
To learn more about Brainomix and its technology visit www.brainomix.com, and follow us on Twitter, LinkedIn and Facebook.
Contacts
Jeff Wyrtzen, Chief Marketing & Business Development [email protected] +44 (0)7927 164210T +44 (0)1865 582730
Media enquiries
Charles ConsultantsSue [email protected] M +44 (0)7968 726585
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CUBE acquires global regulatory intelligence businesses from Thomson Reuters

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LONDON, May 17, 2024 /PRNewswire/ — CUBE, a global leader in Automated Regulatory Intelligence (ARI) and Regulatory Change Management (RCM), announces today its acquisition of the Thomson Reuters Regulatory Intelligence and Oden products and businesses.

The acquisition of these global businesses represents a major step forward in CUBE’s growth plans. It will deliver significant scale across many of the world’s leading and systemically important financial institutions. CUBE’s existing global customer base will be expanded to total approximately 1,000 customers in banking, insurance, asset and investment management, payments and adjacent regulated industries.
CUBE’s global employees will expand to 600, of which close to 250 are highly qualified regulatory subject matter experts, legal and compliance professionals.
Ben Richmond, founder and CEO of CUBE said: “Thomson Reuters is known to be the biggest and best in the industry for providing regulatory expert analysis and subject matter expertise, alongside world-leading journalism and news. The combination of CUBE’s purpose-built AI, with the years of content curated by Thomson Reuters Regulatory Intelligence and Oden expert analysts, will accelerate innovation. Together, we will deliver regulatory transformation capabilities for our global customers that could only have been imagined before.”
Richmond continues: “This combination will provide tremendous scale and depth across CUBE’s regulatory content and technology. It is a significant step toward creating an industry-defining regulatory compliance and risk platform that will benefit all customers and elevate the industry as a whole.”
Through this acquisition, CUBE will provide an expanded and comprehensive selection of specialized regulatory intelligence and regulatory change services, committed to excellence, quality, and highly contextualised and meaningful regulatory content for customers. By combining cutting-edge technology and subject matter expertise at scale CUBE will set a new bar for the industry in regulatory automation and content.
Chris Maguire, General Manager, Risk and Fraud, Corporates, Thomson Reuters said: “It was clear to us that CUBE had established itself as a leading regulatory intelligence provider for global enterprise clients in the financial services and insurance sectors. We wanted to ensure our customers and employees could work with an organisation that would continue to innovate and significantly invest in solutions like Thomson Reuters Regulatory Intelligence and Oden. We are working tirelessly to ensure a seamless and value-enhancing transition for customers and employees, and we are looking forward to working with the CUBE team during this transition.” 
Christopher Fielding, Hg, said: “We’re delighted to further extend our market reach, bringing in two high quality and complementary global businesses to the CUBE platform.”
Thomas Martin, Hg, added: “We see these acquisitions as enabling further innovation in the regulatory intelligence and change management sector, leading to strengthened demand for these quality solutions across the globe.”
The terms of the transaction will not be disclosed.
About CUBE
CUBE provides a highly comprehensive and robust source of classified, and meaningful AI-driven regulatory data to power its Automated Regulatory Intelligence (ARI) and Regulatory Change Management (RCM) solutions. CUBE’s purpose-built regulatory technology including its AI engine (RegBrain) and software platform (RegPlatform) tracks, analyses, and monitors laws, rules, and regulations in every country and in every published language to create an always up-to-date regulatory footprint that transforms visibility and compliance capability for customers across the globe.
With operations across Europe, North America, Canada, Asia, and Australia, CUBE serves a diverse and global base of customers and partners including the largest financial institutions in the world who leverage CUBE’s platform to streamline their complex regulatory intelligence and change management processes.
Following the strategic partnership with Hg in March 2024, CUBE announced the acquisition of US-based Reg-Room in May 2024.
About Hg
Hg supports the building of sector-leading enterprises that supply businesses with critical software applications or workflow services, delivering a more automated workplace for their customers.
This industry is characterised by digitisation trends that are in early stages of adoption and are set to transform the workplace for professionals over decades to come. Hg’s support combines deep end-market knowledge with world class operational resources, together providing compelling support to entrepreneurial leaders looking to scale their business – businesses that are well invested, enduring and serve their customers well.
With a vast European network and strong presence across North America, Hg’s 400 employees and around $70 billion in funds under management support a portfolio of around 50 businesses, worth over $140 billion aggregate enterprise value, with over 110,000 employees, consistently growing revenues at more than 20%.
About Regulatory Intelligence
Regulatory Intelligence is a proactive, connected, and comprehensive solution that tracks and analyses regulatory changes within ~2,000 regulatory bodies and rulebooks for more than 20 countries. It enables banking, financial services, and insurance (BFSI) sectors to manage exposure to operational, regulatory, and compliance risk.
About Oden
Oden State Rules and Regulations (SR&R), Oden Policy Terminator/Sentry PT, and OdenTrack provide repositories and automated solutions for complying with state rules and regulations on the provisioning of Personal and Business Insurance in the US.

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