DUBAI, United Arab Emirates--(BUSINESS WIRE)--Hewlett Packard Enterprise (NYSE: HPE) today announced it is building a new supercomputer for Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), a university dedicated solely to AI, to accelerate AI-driven scientific discovery and advance the UAEs goal to be a global AI leader. HPEs robust supercomputing and AI technologies will significantly enhance the universitys ability to run complex AI models with extremely large data sets, and increase predictability in research analyses in fields including energy, transportation and the environment.

Supercomputing is vital to delivering AI-at-scale, and driving global innovation, industry competitiveness, and economic growth. From accelerating vaccine discovery to fight a pandemic, and advancing clean energy systems to increase sustainability, to enabling new possibilities in AI, supercomputing is a core technology to solving the worlds most challenging scientific and engineering challenges.

Established in 2019, MBZUAI has already ranked 24th in the world for artificial intelligence, computer vision, machine learning, and natural language processing. The new supercomputer will help MBZUAI support the UAEs National Strategy for AI, bringing together the power of academia, government, and industry to strengthen the countrys global competitiveness. The advanced supercomputing and AI technologies will also expand resources for larger projects to allow MBZUAI to attract global talent and create new economic and societal opportunities for the UAE.

MBZUAIs new Campus Super Computing Center (CSCC), where the new supercomputer will be housed, will enable faculty members, researchers, and students to accelerate scientific discovery in many areas, including healthcare, structural engineering, law enforcement, supply chain, and sustainability. In addition to meeting the research needs of the faculty and students, the new supercomputer will help MBZUAI fulfill its role as an AI talent developer and innovation hub that brings together the business community to drive entrepreneurship in the AI sector. MBZUAI already is contributing to significant initiatives such as the Emirati Genome Program, which uses AI-based tools to extract and interpret large amounts of complex data resulting from DNA sequencing, and the Abu Dhabi Health Services Company, SEHA, which uses AI algorithms to predict heart attacks.

Supercomputing plays an essential role in unleashing AI to achieve significant breakthroughs for organizations worldwide, across public and private sectors, said Justin Hotard, executive vice president and general manager, HPC, AI & Labs, at HPE. HPE is leading the market in this next frontier by combining supercomputing performance and capabilities with solutions that are purpose-built for AI, to build and train machine learning models at-scale. MBZUAIs Campus Super Computing Center is demonstrating this capability to unlock new possibilities in AI and strengthen UAEs position as an AI-driven nation to advance key initiatives in healthcare, sustainability, and engineering.

HPE has a longstanding commitment to advancing the way people live and work in the United Arab Emirates, through our Emiratization program, Digital Life Garage, and industry and government partnerships, said Ahmad Alkhallafi, managing director for UAE, Hewlett Packard Enterprise. We are proud to support the UAEs national strategy for AI by helping MBZUAI grow its contribution to research and education. Supercomputing will play a crucial role in helping the UAE anticipate and take advantage of new AI technologies now and in the future. We look forward to helping the UAE meet its goal to be an AI leader by 2031.

As a recently established institution, MBZUAI is still building its team of in-house supercomputing specialists. By collaborating with HPE, the university is gaining access to a large local team for supercomputing and AI support, in addition to world-leading technologies.

The new supercomputer will deliver end-to-end technologies, based on the HPE Apollo 6500 Gen10 Plus, which is purpose-built for AI and analytics workloads, in addition to modeling and simulation workloads that are critical to scientific research. As part of the design, HPE will feature 2nd Gen AMD EPYC processors delivering advanced computational performance, and 384 NVIDIA A100 Tensor Core GPUs for accelerated compute to target AI model development, training, and inferencing.

To support AI training needs that require processing and storing large quantities of data, HPE will also deliver four petabytes of storage using HPEs Cray Clusterstor E1000 parallel storage system, which is built for large-scale systems, to enable expanded storage capacity. Additionally, with the new supercomputers design, MBZUAI will gain sophisticated liquid-cooling capabilities from HPE to efficiently remove heat from high-power devices, including CPUs, GPUs, memory, and switches.

About Hewlett Packard Enterprise

Hewlett Packard Enterprise (NYSE: HPE) is the global edge-to-cloud company that helps organizations accelerate outcomes by unlocking value from all their data, everywhere. Built on decades of reimagining the future and innovating to advance the way people live and work, HPE delivers unique, open and intelligent technology solutions as a service. With offerings spanning Cloud Services, Compute, High Performance Computing & AI, Intelligent Edge, Software, and Storage, HPE provides a consistent experience across all clouds and edges, helping customers develop new business models, engage in new ways, and increase operational performance. For more information, visit: http://www.hpe.com.

About Mohamed bin Zayed University of Artificial Intelligence (MBZUAI)

MBZUAI is a graduate, research university focused on artificial intelligence, computer science, and digital technologies across industrial sectors. The university aims to empower students, businesses, and governments to advance artificial intelligence as a global force for positive progress. MBZUAI offers various graduate programs designed to pursue advanced, specialized knowledge and skills in artificial intelligence, including computer vision, machine learning, and natural language processing. For more information, please visit http://www.mbzuai.ac.ae.

AMD, the AMD Arrow logo, EPYC, and combinations thereof, are trademarks of Advanced Micro Devices, Inc. Other names are for informational purposes only and may be trademarks of their respective owners.

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Mohamed bin Zayed University of Artificial Intelligence Advances the UAE's National Strategy for AI with New Supercomputer Built by Hewlett Packard...

Ericsson Canada has announced a strategic research program led by cole de technologie suprieure (TS), and in partnership with Concordia, Polytechnique Montral and Environment and Climate Change Canada (ECCC) to explore how Artificial Intelligence (AI) can help the telecommunications sector minimize the energy consumption of 5G networks. The project aims to help communication service providers shrink their carbon footprint and reduce operational costs by saving on energy, which will, in turn, help lower costs for consumers and decrease harmful emissions.

Erik Ekudden, senior vice president and chief technology officer at Ericsson, says: 5G networks are the technological backbone of our society and they represent an opportunity to digitalize industries and significantly reduce global CO2 emissions. Under the focused guidance of our partners and with the help of Ericsson experts in Montreal, a leading AI hub, our researchers will test and refine solutions to make 5G & Beyond technologies smarter, more energy-efficient for service providers and cost-efficient for end users.

Data scientists from Ericssons Global Artificial Intelligence Accelerator (GAIA) in Montreal will support the three-year research project in close collaboration with seven professors and 27 researchers from TS, Concordia and Polytechnique and expertise from Environment and Climate Change Canada. Ericsson will bring its global expertise in this area from Ericsson Research to steer the group in standardizing their research findings and drive towards industrialized solutions that can be integrated into its 5G products and services.

The outcomes of this research are also expected to strengthen ECCCs Greenhouse Gas (GHG) modeling solutions for the information and communication technologies sector and contribute to global standardization. This partnership is supported by contributions from the Quebec government (through Innov - innovation en nergie lectrique) and The Natural Sciences and Engineering Research Council (NSERC).

The Honourable Steven Guilbeault, Minister of Environment and Climate Change, says: The Government of Canada is in a constant search for innovative ways to cut pollution and fight climate change, in industries both young and old. Teaming up Ericsson Canada with Montreals world-class universities and globe-leading AI research and development community is another smart step forward in the pursuit of net-zero jobs and growth.

A research project of this scale requires the robust support of multiple organizations, points out Dominique Brub, vice president of Research and Graduate Studies at Concordia. With our seasoned history collaborating with Ericsson, it was only natural that Concordia and our Applied AI Institute, which focuses on finding applied solutions to real world challenges, would participate in this initiative. Sustainability is a major priority for the university and were proud to contribute to a project that can reduce the energy consumption of 5G networks.

There is consensus concerning the climate emergency, and climate change is now inevitable, adds Christian Casanova, vice president of Research and Partnerships at cole de technologie suprieure (TS). We must act now to reduce our ecological footprint, starting by designing technologies that are less harmful to the environment. The use of AI in designing communication networks will enable us to reduce energy demands while maintaining a strong economy.

The information and communication technologies (ICT) industry is an energy intensive and growing sector. 5G is more energy efficient than previous generations of mobile communications, however, the energy consumption of entire mobile networks is expected to increase due to the need to expand network capacity to meet the exponential growth in data traffic. By embedding AI into those networks, researchers will devise ways for them to self-configure and reconfigure to push energy consumption to a minimum while maintaining the required quality of service.

The climate crisis demands novel solutions and the pooling of multidisciplinary talents, says Franois Bertrand, vice president, Research and Innovation at Polytechnique Montral. Over the next three years, by combining their strengths with those of professors and researchers from four organizations, our experts will harness the potential of artificial intelligence and work on reducing the energy required by base stations to transmit signals to wireless devices, which is crucial since the number of connected devices is expected to increase dramatically.

We are convinced that the collaborative research model is a must to develop new technologies to reduce the GHG emissions of the energy sector faster, smarter, and more competitively, declares Thierry St-Cyr, chief executive officer of Innov Innovation en nergie lectrique.

Find out more about Concordias Applied AI Institute: https://www.concordia.ca/research/applied-ai-institute.html

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Concordia partners with Ericsson Canada and other Montreal-based universities to improve 5G sustainability using artificial intelligence - Concordia...

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Over the last decade or so, artificial intelligence (AI) has become more and more prevalent in everyday life, from the online ads that seem to know just what youre looking for to music composition and other creative applications.

The very notion of making music with AI raises questions about the nature of creativity, and of the future for human composers. From useful tools to pioneering prototypes, heres a look at some of the most recent innovations that use AI in the music writing process.

DoReMIR Music Research AB recently announced the launch of ScoreCloud Songwriter, a tool that turns original music into lead sheets. The software uses the information recorded with a single microphone, and can include vocals and instruments. Various AI protocols separate out the vocals, and then transcribes the music, including melody and chords, along with the lyrics in English. What youll get is a lead sheet with the melody, lyrics, and chord symbols.

Many established and emerging songwriters are brilliant musicians but struggle with notating their music to make it possible for others to play, explained Sven Ahlback, DoReMIR CEO, in a media release. Our vision is that ScoreCloud Songwriter will help songwriters, composers, and other music professionals, such as educators and performers. It may even inspire playful use by lovers of music who never thought they could write a song. Our hope is that it will become an indispensable tool for creating, sharing, and preserving musical works.

Harmonai is a company that creates open-source models for the music industry, and Dance Diffusion is their latest innovation in AI audio generation. It uses a combination of publicly available models to create audio bits so far, about 1-3 seconds long from nothing, as it were, which can then be interpolated into longer recordings. Since its AI, the more users enter audio files for it to learn from, the more it will evolve and develop. If youre interested in how Dance Diffusion came together, theres a video interview with the creators here.

Heres one of their projects, an infinite AI bass solo that has been playing since January 27, 2021. Its based on the work of the late musician Adam Neely.

Its still in the testing stages, but its implications are profound.

Googles new AudioLM bases its approach to audio generation on the way language is processed. It can generate music for piano with a short excerpt of input. Speech combines sounds into words and sentences, in the same way the music is about individual notes that come together to form melody and harmony. Google engineers used the concepts in advanced language modelling as their guide. The AI captures melody as well as overall structure, and the details of the audio waveform to create realistic sounds. It reconstructs sounds in layers designed to capture the nuances.

Metas new AudioGen uses a text-to-audio AI model to create sounds as well as music. The user enters a text prompt, such as wind blowing, or even a combination, such as wind blowing and leaves rustling and the AI responds with a corresponding sound. The system was developed by Met and the Hebrew University of Jerusalem, and it is able to generate sound from scratch. The AI can separate different sounds from a complex situation, such as several people speaking at once. Researchers trained the AI using a mix of audio samples, and it can generate new audio beyond its training dataset. Along with sounds, it can generate music, but that part of its functionality is still in its infancy.

With AI music generation in its infancy, its easy to dismiss its future impact on the industry. But, it cant be ignored.

An electronic band by the name of YACHT recorded a full album with AI in 2019, using technology thats already been surpassed. Essentially, they taught AI how to be YACHT, and it wrote the music. The band then turned it into their next album.

Im not interested in being a reactionary, YACHT member and tech writer Claire L. Evans mentioned that ambivalence in a documentary about their 2019 AI-assisted album Chain Tripping (as quoted in Tech Crunch). I dont want to return to my roots and play acoustic guitar because Im so freaked out about the coming robot apocalypse, but I also dont want to jump into the trenches and welcome our new robot overlords either.

The onslaught of new technology is relentless. The only choice is to hop on the train.

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Anya Wassenberg is a Senior Writer and Digital Content Editor at Ludwig Van. She is an experienced freelance writer, blogger and writing instructor with OntarioLearn.

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REPORT | Music And Artificial Intelligence: A Bond Thats Growing By Leaps And Bounds - Ludwig Van

SAN FRANCISCO Focal Systems, the industry leader in retail automation, today announced a partnership with Piggly Wiggly Midwest stores. Piggly Wiggly Midwest will be piloting the Focal Operating System (FocalOS) in its Wisconsin and Illinois stores. FocalOS digitizes the entire store in order to automate and optimize ordering, inventory management, merchandising and in-store labor with the objective to deliver a better experience to customers.

Building on its more than 100-year history in the grocery business, Piggly Wiggly continues to grow its presence with stores throughout the Midwest, South and Northeast. C&S Wholesale Grocers, Inc. operates Piggly Wiggly Midwest corporate stores and services independent franchisees under a chain-style model. This unique grocery store offers the selection and assortment of a national chain, with the service and local customization of a community-based retailer. Each store contains specialized local assortments to meet local shoppers needs.

Were thrilled to work with such a beloved and historic grocer that has been a staple in American lives for more than a century, said Francois Chaubard, CEO and founder of Focal Systems. Im seeing the first signs of massive adoption of AI and computer vision in the grocery and retail industry and its exciting to see one of the best grocery chains helping to lead the charge. In partnering with Focal Systems, Piggly Wiggly Midwest is demonstrating how it continues to be a pioneer in the industry. We look forward to expanding our partnership in years to come.

Piggly Wiggly has been changing the industry since it launched its first store. Our partnership with Focal Systems will enable us to provide an even better shopper experience by leveraging the most innovative retail automation technology available, said Mark McGowan, Senior Vice President, Retail, C&S Wholesale Grocers, Inc.

Focal Systems made recent headlines for its $25 million Series B, led by Point72, and for its rollout at the Cooportunity Market, the only organic food cooperative in Los Angeles. To date, Focal has raised more than $40M in venture capital funding and has scaled their solutions to retailers spanning three continents. Major retailers using Focal Systems have shown a 50x in ROI with the implementation of the technology, making this the most profitable investment in all of retail technology.

About Focal Systems:

Founded in 2015 in San Francisco out of Stanfords Computer Vision Lab, Focal Systems is the industry leader in retail automation. Our mission is to automate and optimize brick and mortar retail with state-of-the-art deep learning and AI. We have pioneered the worlds first Self-Driving Store- an OS that revolutionizes how stores are run. Focal has raised more than $40M to date and scaled solutions on three continents in hundreds of stores, with over 100,000 cameras deployed. Learn more at:https://focal.systems.

About Piggly Wiggly:

Building on its more than 100-year history in the grocery business, Piggly Wigglycontinues to grow its presence with stores throughout the Midwest, South and Northeast. C&S Wholesale Grocers, Inc. operates corporate stores and services independent franchisees under a chain-style model. This unique grocery store offers the selection and assortment of a national chain, with the service and local customization of a community-based retailer. Each store contains specialized local assortments to meet local shoppers needs.

Piggly Wiggly Midwest:https://www.shopthepig.com/Piggly Wiggly Carolinas:https://www.thepig.net/

About C&S Wholesale Grocers, Inc.

C&S Wholesale Grocers, Inc. is an industry leader in supply chain solutions and wholesale grocery supply in the United States. Founded in 1918 as a supplier to independent grocery stores, C&S now services customers of all sizes, supplying more than 7,500 independent supermarkets, chain stores, military bases and institutions with over 100,000 different products. We are an engaged corporate citizen, supporting causes that positively impact our communities. To learn more, please visitwww.cswg.com.

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A team of LSU researchers has developed a way to determine which drug therapies work best against an individual's unique type of cancer, possibly providing a way to find cures more quickly and make treatment more affordable.

The interdisciplinary team includes researchers from the School of Veterinary Medicine, College of Science, College of Engineering and the Center for Computation & Technology. It created CancerOmicsNet, a new drug discovery engine run by artificial intelligence.

Using algorithms originally designed to map complex social networks, like those utilized by Facebook, researchers generated three-dimensional graphs of molecular datasets that include cancer cell lines, drug compounds and interactions among proteins inside the human body.

The graphs are then analyzed and interconnected by AI, forming a much clearer picture of how a specific cancer would respond to a specific drug.

Dr. Michal Brylinski, associate professor of computational biology at LSU, said that the team used established datasets to train the CancerOmicsNet engine into using artificial intelligence.

"Once its trained, then you can ask for something that you dont know and this is the input data," he said. "So you ask what inhibitor you think is going to be effective against this cancer and then AI makes a prediction. Thats the implication to unseen data and then something like that goes to a wet lab and we can validate it.

Wet lab research was conducted by researchers at the LSU School of Veterinary Medicine and led by associate professor of research Brent Stanfield.

They developed the AI algorithm and everything, so our role in the study is just to be the practical applications of the technology," Stanfield said. "They developed the algorithm, identified the drugs and then we tested the drugs in our high-capacity systems to demonstrate their efficacy to kill cancer cells.

Researchers studied notoriously aggressive breast, prostate and pancreatic cell lines to train the AI to recognize connections between specific cancers and cancer drugs that control the production of the enzyme kinase within the body.

Kinase acts as a biological catalyst for cell communication and cell growth. Using drugs that lower kinase activity can suppress the growth of cancerous cells.

Brylinski said the research team used CancerOmicsNet to pick out six combinations of cancer cell lines with the drugs likely to be the most toxic to their gene expression profile and tested them, with encouraging results.

According to acceptable criteria, four out of six worked and this success rate is extremely high because if you just picked up six random drugs and say those drugs are going to work on this cancer, then theyre probably not going to work on that cancer," he said. "Four out of six was very encouraging and this is where we stand right now."

Using CancerOmicsNet like molecular speed dating, the AI can help researchers quickly match cancer cell lines with the drugs likely to be the most toxic to their growth and genetic profile.

Brylinski said knowledge gained through CancerOmicsNet can help overcome the challenge of determining how effective a particular kinase-inhibiting drug could be in the future.

The ultimate goal, he said, is to expand their research to potentially apply it in clinical settings.

"If we have a patient with a certain cancer, they can do a biopsy and then they can profile this cancer with respect to gene expression, genetic mutations and everything," Brylinski said. "Then they can input that data to CancerOmicsNet and it can suggest some therapy for this particular cancer and say this drug could be effective and 'another drug could not be effective.'

The effectiveness of various cancer drugs was initially believed to be tied to molecular consistency, the idea that cancer treatment should be targeted to a specific to a location in the body.

Michelle Collins, dean of the College of Nursing and Health at Loyola University New Orleans and a scientist not involved in the LSU research, said CancerOmicsNet is an example of how our current medical understanding of cancer treatment meets advances in genetic studies and AI.

When cancer drugs first came out, they were one size fits all and werent really tailored to the individual and so you see the medications work better on some people than others," she said. "And with the advent of genetics and genomics, which are the future of medicine, were now going to be able to tailor treatments to the patient and not just in oncology.

Collins said she sees CancerOmicsNet being extremely beneficial to oncological studies and treatment in the future.

I think it has the potential to really revolutionize the field of oncology, because well be able to treat people with medication that is more timely tailored to them," she said. "All of that is good if youre a patient with cancer.

Brylinksi said that the ability to treat cancer with a more direct, focused clinical approach makes him excited to see how CancerOmicsNet develops over time.

"I dont know if were going to make some major breakthrough in oncology any time soon, but were contributing pieces where if enough people are doing this, the whole field is moving forward towards the goal of improving human health," he said. "Were very happy that we can make some contribution, which might not be a huge breakthrough down the road, but definitely something that is useful to improving human health and thats really cool actually.

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Can artificial intelligence help identify best treatments for cancers? LSU researchers say yes - The Advocate

MSPs, Edge Providers, and Large Enterprises will find CloudFabrix's domain-agnostic, distributed, Robotic Data Automation fabric-based AIOps model appealing

PLEASANTON, Calif., Oct. 13, 2022 /PRNewswire/ -- CloudFabrix the inventor of Robotic Data Automation Fabric Platform and the Data-centric AIOps Leader, was named a Leader and Innovator in the 2022 Gigaom Radar for AIOps report for a 2nd consecutive year. The report evaluated 24 major AIOps vendors across Key criteria and evaluation metrics that should be applied when selecting an AIOps solution. The report segregates the 24 vendors across Leaders, Challengers, and New Entrants. CloudFabrix was identified as a Leader, Fast Mover, and Innovator that provides a complete AIOps solution, with a unique Robotic Data Automation Fabric and Distributed AIOps model, including for AIOps at the edge.

According to the report, "This year proved to be one of explosive growth in AIOps tooling and solutions. In some cases, AIOps functionality was achieved by bolting an artificial intelligence and machine learning (AI/ML) engine to existing software, via acquisition or internal development, and marketing it as an AIOps solution. Other vendors built entire platforms around homegrown or acquired AI/ML, jumping into a crowded arena competing with pure AI/ML solutions and platform tools." CloudFabrix's platform is homegrown, built with microservices, is cloud native and can run entirely in the cloud, in a hybrid deployment, or on-premises.

This year's report points out one key differentiation, among the 24 surveyed vendors dividing them into domain-agnostic and platform solutions and what it means for end users. The domain-agnostic solutions can be added to any environment with minimal interruption to the business, while platforms may require the displacement of several existing monitoring solutions.

CloudFabrix scored high ranks across the 3 categories, as identified by the report -

CloudFabrix is among 6 of the 24 vendors identified as Leaders and Fast Movers CloudFabrix's Data-centric AIOps solution is in the domain-agnostic category and integrates well with existing solutions, a business may have.

Story continues

CloudFabrix is among 4 of the 24 vendors identified as Innovation players Each provides a complete AIOps solution with unique capabilities. CloudFabrix, with its Robotic Data Automation Fabric, provides a distributed AIOps model that's unique.

CloudFabrix is among 3 of the 24 vendors identified as AIOps for Edge vendors In the area of emerging technologies, IoT and other edge technologies may require some consideration. A few vendors have explored AIOps for the edge and made strides.

The report identifies CloudFabrix's key capabilities -

Ease of Deployment - CloudFabrix unifies observability, AIOps, and automation within a single SaaS cloud platform (cfxCloud) built on AWS. The platform is also available in AWS Marketplace.

Composable Services - RDAF powers multiple services deployed on top of the AIOps platform, including Log Intelligence, Asset Intelligence, and Service Intelligence.

Continuous ML - Unsupervised and supervised learning are both provided, along with topology detection with data models. Supervised learning is used in the Incident Room to detect possible root causes.

Broad data integration support RDAF is used to integrate data with new sources. In terms of IT operations management (ITOM) and SIEM, log data can be ingested from Splunk and Elasticsearch, and many more.

Log Intelligence - New this year is its Log Intelligence service.

Data Fabric for Edge AI /IoT -The low-latency distributed data fabric allows cfxCloud to ingest, integrate, transform, and load data from or to any system.

Low Code / No Code - users can interact with and operationalize it using a set of more than 800 existing bots and create others via a self-service pipeline.

Service Management - Support is also provided for datastores and data lakes, IT service management (ITSM), configuration management database (CMDB), the collaboration platforms Slack, Microsoft Teams, and Twilio; and Terraform, Ansible, and Chef for automation.

Supporting Quotes

"CloudFabrix continues to impress us with its innovation and its ability. They have shown a pulse on the AIOps market and a quest to constantly improvise in the areas where they were at a disadvantage, across the 2 years we have evaluated them. We are hopeful they continue on this path as Digital Transformation and AIOps are becoming mainstream for enterprises," said Ron Williams, Principal Analyst, Gigaom.

Shailesh Manjrekar, Vice President of AI and Marketing, CloudFabrix said, "We are delighted and honored to be recognized as a leader by Gigaom for 2 consecutive years. This endorses us as a "Fast Mover," demonstrated by our recent launch of "Persona-based Composable Analytics for AIOps." He further asserted, "Our success and scalability are demonstrated by our recent wins with large global MSPs and Enterprises. We continue to strive to delight our customers and make their autonomous enterprise journey, a reality by democratizing Data-First, AI-First, and Automation everywhere strategies."

Resources:

About CloudFabrix

CloudFabrix is the leading Data-centric AIOps Platform vendor and the inventor of Robotic Data Automation Fabric (RDAF). RDAF delivers integrated, enriched and actionable data pipelines to operational and analytical systems. RDAF unifies Observability, AIOps and Automation for Operational Systems and enriches analytical systems. CloudFabrix empowers Business and IT leaders with AI-powered actionable intelligence to make faster and better decisions and accelerate IT planning and Autonomous operations. For more information, visit cloudfabrix.com

Media Contact / Press Enquiry:Shailesh Manjrekar346592@email4pr.com408-421-4214

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CloudFabrix Was Named a Leader and Innovator in the 2022 Gigaom Radar for Artificial Intelligence for Operations (AIOPs) - Yahoo Finance

IRVINE, Calif.--(BUSINESS WIRE)--Genomic Testing Cooperative, LCA (GTC) announced that its innovative artificial intelligence (AI) algorithms are now formally implemented in daily use to aid pathologists in the diagnosis and interpretation of molecular findings of genomic profiling.

GTCs RNAnalysis algorithm is used to distinguish between 45 different diagnostic classes providing probability scores. This algorithm is complemented by a second algorithm called TraceWork. When needed, TraceWork is used to distinguish between two diagnostic entities determined by RNAnalysis to be of similar high probability score.

Results of validation of these algorithms are now published in The American Journal of Pathology, a part of Elsevier's Journal Network (DOI:https://doi.org/10.1016/j.ajpath.2022.09.006). For example, independent blind testing of RNAnalysis algorithm showed correct first-choice diagnosis in 100% of acute lymphoblastic leukemia, 88% of acute myeloid leukemia, 85% of diffuse large B-cell lymphoma, 82% of colorectal cancer, 49% of lung cancer, 88% of chronic lymphocytic leukemia and 72% of follicular lymphoma. The TraceWork algorithm distinguished between lung cancer and colorectal cancer with 97.2% sensitivity and 94.5% specificity, between Hodgkin lymphoma and normal lymph node with 95.4% sensitivity and 100% specificity, between follicular lymphoma and diffuse large B-cell lymphoma with 95.9% sensitivity and 93.1% specificity, and between breast cancer and ovarian cancer with 100% sensitivity and 94.2% specificity.

The information provided by these algorithms are used in the context of clinical and other molecular and pathologic findings and not meant to replace the need for physicians clinical decision, said Dr. Maher Albitar, founder, chief medical officer, and chief executive officer of GTC. We believe that transcriptomic data when combined with AI provides an efficient and effective information that can replace the need for large number immunohistochemical staining and flow cytometry testing, especially when tissue samples are scant, Dr. Albitar added.

Dr. Andre Goy, Chairman & Chief Physician Officer at John Theurer Cancer Center and Academic Chairman of Oncology at Hackensack Meridian School of Medicine, stated, Precision diagnosis is extremely important for the practice of precision medicine. Todays RNA and DNA profiling generates big data that requires sophisticated algorithms to decipher the clinical relevance of this data. GTCs molecular profiling and algorithms had helped us resolve numerous diagnostically challenging cases and the results made a difference in patients management and outcome.

Dr. Aamir Ehsan, CEO/ President, Medical Director and board-certified hematopathologist and molecular geneticist of CorePath laboratories, at San Antonio, Texas, who is a collaborator and coauthor on the published work, said, Unlike AI and imaging, transcriptomic data and AI incorporates immunohistochemistry and flow cytometry data as well as numerous additional biomarkers, but more importantly allows us to look at each biomarker individually to make the final pathologic decision. This represents major advances in the practice of pathology.

It is estimated that approximately 10% of all cancer cases are misdiagnosed and 4% of solid tumors are presented as cancer of unknown primary CUP.

About Genomic Testing Cooperative, LCA

Genomic Testing Cooperative (GTC) is a privately-owned molecular testing company located in Irvine, CA. The company operates based on a cooperative (co-op) business model. Members of the co-op hold type A shares with voting rights. The company offers its patron members a full suite of comprehensive genomic profiling based mainly on next generation sequencing. Molecular alterations are identified based on rigorous testing with the aid of specially developed algorithms to increase accuracy and efficiency. The clinical relevance of the detected alterations is pulled from numerous databases using internally developed software. Relevance of findings to diagnosis, prognosis, selecting therapy, and predicting outcome are reported to members. The co-op model allows GTC to make the testing and information platform available to members at a lower cost because of a lower overhead. For more information, please visit https://genomictestingcooperative.com/.

Forward Looking Statements

All of the statements, expectations and assumptions contained in this press release are forward-looking statements. Such forward-looking statements are based on the GTC managements current expectations and includes statements regarding the value of comprehensive genomic profiling, RNA profiling, DNA profiling, algorithms, therapy, the ability of testing to provide clinically useful information. All information in this press release is as of the date of the release, and GTC undertakes no duty to update this information unless required by law.

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Genomic Testing Cooperative and its Co-Op Members First to Use Artificial Intelligence to Distinguish Between 45 Hematologic and Solid Neoplasms Using...

New Jersey, United States, Oct. 14, 2022 /DigitalJournal/ The Artificial Intelligence in Gaming Market research report provides all the information related to the industry. It gives the markets outlook by giving authentic data to its client, which helps to make essential decisions. It gives an overview of the market, including its definition, applications and developments, and manufacturing technology. This Artificial Intelligence in Gaming market research report tracks all the recent developments and innovations in the market. It gives the data regarding the obstacles while establishing the business and guides to overcome the upcoming challenges and obstacles.

The main goal of using artificial intelligence in games is to give players a realistic gaming experience to fight against each other on a virtual platform. In addition, AI in games also helps increase player interest and satisfaction in the long run. Artificial intelligence enables game designers and studios to mine data on player behavior to help them understand how people end up playing the game, the parts people play the most, and what makes users stop playing the game.

Get the PDF Sample Copy (Including FULL TOC, Graphs, and Tables) of this report @:

https://a2zmarketresearch.com/sample-request

Competitive landscape:

This Artificial Intelligence in Gaming research report throws light on the major market players thriving in the market; it tracks their business strategies, financial status, and upcoming products.

Some of the Top companies Influencing this Market include:Ubisoft, Ea, Tencent, Sony, Microsoft, Playtika, Activision Blizzard, Netease, Nintendo, Square Enix, Konami, Take-Two Interactive, Ncsoft, Google, Baidu, Ibm, Sap, Intel, Salesforce, Brighterion, Kitt.Ai,

Market Scenario:

Firstly, this Artificial Intelligence in Gaming research report introduces the market by providing an overview that includes definitions, applications, product launches, developments, challenges, and regions. The market is forecasted to reveal strong development by driven consumption in various markets. An analysis of the current market designs and other basic characteristics is provided in the Artificial Intelligence in Gaming report.

Regional Coverage:

The region-wise coverage of the market is mentioned in the report, mainly focusing on the regions:

Segmentation Analysis of the market

The market is segmented based on the type, product, end users, raw materials, etc. the segmentation helps to deliver a precise explanation of the market

Market Segmentation: By Type

On-Premise, Cloud-Based,

Market Segmentation: By Application

Pc Gaming, Tv Gaming, Smartphone & Tablet Gaming

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An assessment of the market attractiveness about the competition that new players and products are likely to present to older ones has been provided in the publication. The research report also mentions the innovations, new developments, marketing strategies, branding techniques, and products of the key participants in the global Artificial Intelligence in Gaming market. To present a clear vision of the market the competitive landscape has been thoroughly analyzed utilizing the value chain analysis. The opportunities and threats present in the future for the key market players have also been emphasized in the publication.

This report aims to provide:

Table of Contents

Global Artificial Intelligence in Gaming Market Research Report 2022 2029

Chapter 1 Artificial Intelligence in Gaming Market Overview

Chapter 2 Global Economic Impact on Industry

Chapter 3 Global Market Competition by Manufacturers

Chapter 4 Global Production, Revenue (Value) by Region

Chapter 5 Global Supply (Production), Consumption, Export, Import by Regions

Chapter 6 Global Production, Revenue (Value), Price Trend by Type

Chapter 7 Global Market Analysis by Application

Chapter 8 Manufacturing Cost Analysis

Chapter 9 Industrial Chain, Sourcing Strategy and Downstream Buyers

Chapter 10 Marketing Strategy Analysis, Distributors/Traders

Chapter 11 Market Effect Factors Analysis

Chapter 12 Global Artificial Intelligence in Gaming Market Forecast

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Artificial Intelligence in Gaming Market to Witness Growth Acceleration | Ubisoft, Ea, Tencent - Digital Journal

Open the Pod Bay Door Resetting the Clock on Artificial Intelligence

Panel Description: Artificial intelligence is like a great basketball head-fake. We look towards AI while we pass the ball to machine learning. But, that reality is quickly changing. This panel taps AI and machine learning experts to level-set our current capabilities in the field and define the roadmap over the next five years.

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Open the Pod Bay Door: Resetting the Clock on Artificial Intelligence at OODAcon 2022 - OODA Loop

A new AI-driven political party in Europe is on a mission to create more awareness about the role artificial intelligence plays in human lives.

Curated by : Moneycontrol News

October 14, 2022 / 01:41 PM IST

Artificial intelligence is making its presence felt in the fields of art and writing, and now, even politics.

A new AI-driven political party in Europe is aiming to get parliamentary representation and is on a mission to create more awareness about the role artificial intelligence plays in human lives, Vice reported.

The outfit, called The Synthetic Party, hopes to contest Denmark's national election in November. It needs more than 20,000 signatures to take part in the poll but as of May, had only four, according to AFP.

TheSynthetic Party is the creation ofComputer Lars, an artists' collective based in Aarhus, Denmark. An AI entity calledLeader Lars" will be the party's figurehead.

"Denmark is a representative democracy, so would have humans on the ballot that are representing Leader Lars and who are committed to acting as a medium for the AI, researcher Asker Stauns told Vice

The Synthetic Party claims to have designed a programme that represents political visions of the average person.

Developing the programme required going back to 1970 to analyse all publications of fringe parties in Denmark, a member ofComputer Lars told AFP.

The party wants the direct coexistence of humans and algorithms to be made a UN sustainable goal. It also wants a monthly income of 100,000 kroner ($13,700) a month for all citizens-- an amount double the average salary in Denmark.

(With inputs from AFP)

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Artificial intelligence-led party is hoping to contest this countrys election - Moneycontrol