NVIDIA and SoftBank Group Corp. (SBG) today announced a definitive agreement under which NVIDIA will acquire Arm Limited from SBG and the SoftBank Vision Fund (together, "SoftBank") in a transaction valued at $40 billion. The transaction is expected to be immediately accretive to NVIDIA's non-GAAP gross margin and non-GAAP earnings per share. The combination brings together NVIDIA's leading AI computing platform with Arm's vast ecosystem to create the premier computing company for the age of artificial intelligence, accelerating innovation while expanding into large, high-growth markets. SoftBank will remain committed to Arm's long-term success through its ownership stake in NVIDIA, expected to be under 10 percent. "AI is the most powerful technology force of our time and has launched a new wave of computing," said Jensen Huang, founder and CEO of NVIDIA.

You must specify the region where your S3 bucket is located. You can find the right region in the list of buckets on the Amazon S3 console. The user you use must have read access to the specified S3 bucket. For more information about securely granting access to S3 buckets to a specific user, see Writing IAM Policies: How to Grant Access to an Amazon S3 Bucket. You should see something similar to the following screenshot. If you prefer to have an instance of TensorBoard permanently running and accessible to your whole team, you can deploy it as an independent application in the cloud. One of the easiest ways to do this without managing servers is AWS Fargate, a serverless compute engine for containers. The following diagram illustrates this architecture.

BOSTON--(BUSINESS WIRE)--Today, vision AI software company Neurala announced the launch of its Neurala VIA Authorized Partner program, to help manufacturers leverage the power of vision AI to improve quality inspection and adapt to fluctuating consumer demand. Neurala VIA Authorized Partners are a global network of integrators and distributors with expertise in helping manufacturers adopt automation and implement Industry 4.0 initiatives. Neurala's channel program brings broader adoption and accessibility to Neurala VIA software, an integrated solution to help manufacturers improve quality inspection on the production line while scaling to meet product demands. In a time when flexibility and scalability are more important than ever before, Neurala's partner program will ensure that distributors and systems integrators play a central role in enabling manufacturers to implement vision AI – and to do so quickly – in order to adapt. In cases where deep learning has previously been too costly or time-intensive to implement, this represents a significant paradigm shift and offers strong return on investment.

SANTA CLARA, Calif., Sept. 8, 2020 -- Tachyum Inc.announced it is opening a business unit to serve U.S., EU and NATO member government customers of its Prodigy Universal Processor for demanding HPC, artificial intelligence and machine learning workloads. Although the company's primary market is hyperscale data centers, Tachyum's CEO Dr. Rado Danilak recognized that government agencies – notably military and intelligence – are early adopters of Prodigy. Its ultra-low-power, ultra-high-performance enables and vastly improves next-generation defense systems such as unmanned aircraft and underwater systems, cybersecurity, communications, analytics, and more. Prodigy's "unique attributes set the conditions to create a computing architecture fully aligned with the operational and strategic imperatives of our national strategy," said retired Army Lieutenant General Richard Zahner. He is a career electronic intelligence specialist who headed signals intelligence at the National Security Agency (NSA) and ended his career as Army deputy chief of staff for intelligence.

As the world’s largest research organization, Nielsen is powered by talented creative scientists. Our Data Scientists come from diverse disciplines such as statistics, research methodology, mathematics, psychology, business, engineering and demography. These professionals drive innovation, new product ideation, experimental design and testing, complex analysis and delivery of data insights. This position is responsible for independently analyzing, developing, testing, and supporting moderate to highly complex application software as they relate to Statistical Methods and Models. These software algorithms, prototypes and tools must be developed as part of a statistical team and maintained with high-quality standards and minimal defects. Analyzes, designs, and documents software tools as they relate to big data sets : Investigates and analyzes verbal and written requests for software, interpreting application requirements to construct moderate to highly complex tools. Designs moderate to highly complex software code and test plans, ensuring software developed meets requirements. Writes technical documentation for routines and tools, facilitating their maintenance. Work directly with cross functional teams to define and implement analytical models as part of the overall product: Parse and manipulate raw, complex data streams to prepare for loading into analytical tools. Work with senior statisticians to define and implement analytical models as part of the overall methodologies being implemented. Design and implement models that scale and perform well in large scale, data heavy applications. Develop and tests algorithms, prototypes and technical specifications that will be used for new products and enhancements to existing products. Strong analytical skills including analysis, data collection, process mapping and troubleshooting for root cause. The ability to work in a fast-paced multidisciplinary environment as in a every changing landscape where new data keeps flowing in rapidly. Provides support to internal users and support staff: Investigates tool incidents for missing or incorrect functionality. Assesses incident resolution and estimates application changes. Applies resolutions, leading to timely, error free revisions in applications. Participates on project teams: Participates in ensuring the project team is following and continuously improving the information technology (IT) software development lifecycle (SDLC) as they relate to prototypes and tools. Conducts and participates in technical reviews of moderate to highly complex software tools, evaluating the proposed technical solutions and recommending appropriate revisions for efficiency and maintainability. Investigates and develops application impact and cost estimates for new tools and models enhancements, providing input into the project work plan. Contributes to measuring application size and effectiveness by participating in function point counting, milestone tracking, and defect tracking initiatives, ensuring assignment completion by the required dates. Assist with the transition of methodologies to Operations or Application Development. Researches, assesses, and facilitates the adoption of new technologies: Contributes to proposals and recommendations of technical innovations, which could benefit our organization. Contributes to the evaluation of new methods and technologies. Qualifications Requirements Bachelor’s degree in computer science or statistics, or equivalent work experience. Minimum of two years’ experience in software development as it relates to data mining or model development. Experience in some of these technologies: C++, Java or any similar object oriented language. Experience with data-intensive applications: SAS, R or Python. Minimum of two years’ experience in software development as it relates to SQL, Java, R or Python. Desire to analyze large data sets, find the truth in data, and develop efficient processes for data analysis. Expert ability to apply analytical and problem-solving skills to solve complex design and coding problems. Advanced knowledge of one or more software development languages and proficiency in the use of utilities, batch processing, and online processing. Advanced knowledge of one or more file access methods and database management systems. Working knowledge of the appropriate operating systems and communication interfaces. Advanced understanding of and the ability to apply software design and testing principles. Good interpersonal skills. ABOUT NIELSEN Nielsen is a global performance management company that provides a comprehensive understanding of what consumers Watch and Buy. Nielsen's Watch segment provides media and advertising clients with Total Audience measurement services across all devices where content — video, audio and text — is consumed. The Buy segment offers consumer packaged goods manufacturers and retailers the industry's only global view of retail performance measurement. By integrating information from its Watch and Buy segments and other data sources, Nielsen provides its clients with both world-class measurement as well as analytics that help improve performance. Nielsen, an S&P 500 company (NYSE: NLSN), has operations in over 100 countries that cover more than 90% of the world's population. Nielsen prides itself on being a place where employees can be themselves, make a difference, and grow their careers with the company. It has been named one of the “Top 50 Companies for Diversity” by DiversityInc for three years running and was selected as one of the “Top 35 Companies for Leaders who want Flexibility” by FlexJobs. For more information visit www.nielsen.com . Nielsen is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Job : Data Science Primary Location : North America-US-IL-Schaumburg Other Locations : North America-US-FL-Tampa Bay Organization : Data Science Schedule : Full-time Shift : Day Travel : Yes, 20 % of the Time

LOS ANGELES, Calif., Aug. 28, 2020 -- AI Breakthrough, a market intelligence organization that recognizes the top companies, technologies and products in the global Artificial Intelligence (AI) market, announced that Liqid, provider of the composable infrastructure platform, has been selected as winner of the "AI Platform Innovation Award" in the 2020 AI Breakthrough Awards program for Liqid's Command Center composable infrastructure software. The Liqid composable infrastructure platform delivers software-defined, adaptive resource allocation across bare metal via Liqid's ultra-low-latency intelligent fabric to ensure significant increases in data agility, capacity and bandwidth. Liqid Command Center composable infrastructure software delivers dramatic improvements for data center resource utilization and efficiency, including software licenses, to improve overall total cost of ownership and significantly improve data center efficiency. With Liqid Command Center software, resources are directed to whatever application requires them, while hardware can be added as required without having to deploy bundled converged systems that provide uneven performance. Accelerator technologies such as GPU, NVMe, FPGA, storage class memory, and networking can be pooled and deployed at bare metal in previously impossible quantities via Command Center across PCI-Express, Infiniband, and Ethernet.

American chip innovation is alive and well, as Nvidia's latest lineup showed. For all those who cite Intel Corp.'s troubles as symbolic of the U.S. semiconductor industry's decline, here are two heartening words: Nvidia Corp. On Tuesday, Nvidia -- a red-hot maker of chips for video games, artificial intelligence and cloud computing -- proved again that it is way ahead of its rivals in terms of innovation and performance. The Silicon Valley-based company announced a lineup of three new gaming graphics cards based on its latest "Ampere" chip architecture, saying they will deliver up to double the performance of its prior offerings in the "greatest generational leap" in its history. Prices for the new products range from $499 to $1,499, with two due to come out later this month and the third to be released in October.

Google LLC announced today a raft of artificial intelligence-related updates as part of Google Cloud Next: OnAir, a nine-week series of livestream events that runs through Sept. 15. The focus of today's updates is all about machine learning and, in particular, the emerging MLOps discipline that's aimed at putting machine learning workflows into operation by fostering more collaboration and better communication between data scientists and developers. Google's AI Platform is a suite of tools that's meant to enable MLOps. It enables machine learning developers, data scientists and data engineers to take their ideas around ML and develop these into actual projects that can be deployed in production quickly and without excessive costs. The AI Platform is centered on Kubeflow, which is an open-source platform developed by Google that enables developers to build portable ML pipelines that can run on-premises or in Google's Cloud.

Earlier this year, Microsoft announced its supercomputer hosted in Azure Cloud which it developed in collaboration with OpenAI. The company said that the supercomputer could train various artificial intelligence models and comes with more than 2,85,000 CPU cores, 10,000 GPUs, and 400Gbps of network connectivity for each GPU server. Not just this, Hewlett Packard Enterprise recently acquired the supercomputing leader Cray, following which it has introduced the HPE Cray supercomputing line that can perform data-centric AI workloads with exceptionally high speed. It also built the new TX-GAIA (Green AI Accelerator) computing system at the Lincoln Laboratory Supercomputing Center which has been ranked as the most powerful AI supercomputer at any university in the world. With a performance of 100 AI petaflops, it can perform complex deep neural network operations with much ease.

SPX Corporation announced that it has acquired ULC Robotics, a leading developer of robotic systems, machine learning applications and inspection technology for the energy, utility and industrial sectors. A pioneer in the field of Robotics-as-a-Service (RaaS), ULC operates a growing, recurring-revenue business called CISBOT which uses robotic solutions designed to rehabilitate and extend the life of natural gas distribution networks for utility customers. ULC also operates a custom Research & Development ("R&D") business that provides cutting edge technology solutions to a growing base of utility and industrial customers. ULC is headquartered in Hauppauge, New York, with a significant presence in the United Kingdom. Its results will be reported with SPX's Location & Inspection platform within its Detection & Measurement segment.