Found in Robotics News & Content, with a score of 5.57
…predictive analytics platform, says Kauzlick. Fortunately, analytics platforms from Microsoft and others are getting easier for organizations to use without having teams of programmers working on a solution for months. Kauzlick says that his team often leverages Microsoft’s predictive analytics platform. “These platforms are absolutely lowering the barrier of entry for the analytics side of IoT,” he adds. “They allow an organization to create a data set that is trusted, and that you can then easily reach into for analytics.” Blockchain momentum When it comes to all of the details involved in moving goods across borders and recording changes to…
Found in Robotics News & Content, with a score of 8.04
…Management Tools,” published August 2019, VMware, along with Citrix, Microsoft and IBM, showed up in the Leaders’ corner. “VMware shows strength in helping its customers bridge between legacy client management tools (CMTs) and UEM unified endpoint management (UEM) by building on previous common CMT functions such as patch management natively within the Workspace ONE offering,” wrote Gartner. It also singled out “VMware’s 2018 launch of the Workspace ONE AirLift offering” as an innovation in the space. SaaS vs. Virtualization Software-as-a-service (SaaS) describes software that does not need to be installed on a local PC or workstation to run. It tends…
Found in Robotics News & Content, with a score of 7.21
…to allow their solutions to run simulations on the Microsoft Azure Big Compute platform. The Fortissimo Project At the end of 2019, the European Commission wrapped up its Fortissimo Project, which was launched to encourage the use of advanced modeling and simulation by providing small and medium enterprises (SMEs) access to cloud-based HPC resources. The experiments conducted in the early phases of the project resulted in 79 success stories and case studies that demonstrated how the use of cloud-based HPC could improve the value chain. The project was primarily targeted at cloud-based simulation, a number of additive manufacturing use cases…
Found in Robotics News & Content, with a score of 3.08
…Jaggaer, GEP, BravoSolution, Zycus, PTC, High Jump, IFS, Cisco, Microsoft, Intel, Om Partners, H. Robinson, Dematic (KION), Swisslog (KUKA), SSI SCHAEFER, Daifuku, Murata Machinery,TGW Logistics Group, Yale Materials Handling Corporation, Zebra Technologies, Honeywell AIDC, Honeywell Intelligrated, Data Logic, DMLogic, Nulogy, SICK AG, ABB, Jabil, Siemens, Logistyx Technologies, Advantech iLogistics, PINC, UPS, Righthand Robotics, BluJay Solutions, Locus Systems, Brightpearl, Veridian, Avetta, AIMMS, One Network Enterprises, LEGACY Supply Chain Services, Apex Supply Chain Technologies, Kuebix, SEKO Logistics, Landstar, CSX, Arviem, Tapestry Solutions, FedEx Supply Chain, DHL Supply Chain, XPO Logistics, Ryder Supply Chain Solutions, NFI Logistics, XPO Logistics, GEODIS North America (OHL),…
Found in Robotics News & Content, with a score of 25.31
…of graphics processing unit-accelerated supercomputer in the cloud on Microsoft Azure. Built to handle demanding artificial intelligence (AI) and high-performance computing applications, the largest deployments of Azure’s new NDv2 instance rank among the world’s fastest supercomputers, offering up to 800 NVIDIA V100 Tensor Core GPUs interconnected on a single Mellanox InfiniBand backend network, NVIDIA reports. It enables customers for the first time to rent an entire AI supercomputer on demand from their desk, and match the capabilities of large-scale, on-premises supercomputers that can take months to deploy. “Until now, access to supercomputers for AI and high-performance computing has been reserved…
Found in Robotics News & Content, with a score of 6.80
…AI into industrial manufacturing. “Major cloud players, AWS and Microsoft, have established a wide range of partnerships with industrial AI development platform vendors, AI software vendors, and system integrators to provide an end-to-end, cloud-to-edge solution to enhance operational efficiency, reduce bottlenecks, and optimize resource consumption in factories,” said Lian Jye Su, Principal Analyst at ABI Research. In China, the Chinese government has listed 10 key industrial manufacturing segments under Made in China in 2025, and AI is a strategic component of the Information Technology segment. Since 2015, the government has been encouraging provincial and local government, public agencies, and state-owned…
Found in Robotics News & Content, with a score of 5.74
…easily submit jobs to secure high-performance compute infrastructure on Microsoft Azure. The launch of Distributed Compute Services (DCS), a new family of applications, enables users to distribute, manage and solve simulations on a variety of compute resources. DCS empowers users to more effectively use compute resources across operating systems, networks and locations. In the Fluids suite, ANSYS Fluent has a new user experience that enables engineers to complete more computational fluid dynamics simulations in less time and with less training. Additionally, in ANSYS 2019 R3, a new automated workflow speeds the ANSYS Fluent adjoint solver so users can easily find…
Found in Robotics News & Content, with a score of 22.20
The Role of AI in the World Microsoft Corp. and OpenAI, two companies thinking deeply about the role of AI in the world and how to build secure, trustworthy and ethical AI to serve the public, have partnered to further extend Microsoft Azure’s capabilities in large-scale AI systems. OpenAI was founded in late 2015 by Elon Musk and Sam Altman who were motivated in part by concerns about existential risk from artificial general intelligence. Through this new partnership, the companies will accelerate breakthroughs in AI and power OpenAI’s efforts to create artificial general intelligence (AGI). The resulting enhancements to the…
Found in Robotics News & Content, with a score of 10.85
…or on clouds such as Amazon Web Services and Microsoft Azure. MATLAB Parallel Server offers access to cluster resources through the familiar MATLAB environment, provides the ability to run on multiple machines without algorithm changes, and helps to access cloud clusters or local high-performance computing (HPC) resources. Expanded access also offers flexibility in working with academic researchers, students, and faculty from other institutions by offering them access to MATLAB and Simulink. Now these academicians can access MATLAB on authorized campus machines and university HPC clusters for their non-commercial work. This helps to support collaborative research projects across institutions and provides…
Found in Robotics News & Content, with a score of 10.00
…MQTT messaging protocol, data is then transmitted securely to Microsoft Azure or other publicly and privately hosted cloud services, so that companies can analyze it to spur innovation and accelerate their IIoT strategies. Moxa employed intuitive user interfaces and functions so that engineers can easily tap into the cloud for their IIoT deployments. Initial setup to full implementation can be completed within a few steps for immediate realization of efficiencies and cost savings. In addition, advanced diagnostics tools are supported to assist users in identifying connection issues so that a variety of field devices can easily share data in the…
Found in Robotics News & Content, with a score of 4.89
…backdrop. The use of AI has already crept into average consumer tech, evident in iPhone's personal assistant Siri and Microsoft's Cortana, and in Google's autocompletion of user sentences. NVIDIA's betting it will become part of enterprise workflow, largely driven by the parallel-processing power of the GPU. The acquisition, new products, and featured speakers at the NVIDIA's GTC reinforces this belief. NVIDIA CEO Jensen Huang introduces the JETSON Nano, a $99 AI computer for the maker community. Image courtesy of NVIDIA.
Found in Robotics News & Content, with a score of 9.83
…infrastructure industry, beating out market pillars, like IBM and Microsoft. According to AWS CEO, Andy Jassy, AWS was born from out of internal needs. Then they realized they could develop it into a real service company. AWS was the first cloud infrastructure as a service, and competitors like Microsoft, IBM, and Google took years to respond. This is what allowed Amazon to capture the market share. They created a service in response to internal needs. Then they began to look at the problem differently, and AWS came into the world. Amazon’s Current Logistic’s Fleet Amazon’s current transportation fleet is impressive…