Intel accelerates developer innovation! – ShiftDelete.Net

On day 2 of the Intel Innovation event, Intel demonstrated how its efforts and investments in fostering an open ecosystem are catalyzing community innovation at all levels of the silicon to systems, applications, and software stack.

As part of the Intel Innovation event, the brand is also Ediz Altun, Intel EMEA IOT and AI Sales Director in Istanbulheld a press conference with the participation of .

Regarding the Intel Innovation event, where new tools to support developers in the fields of artificial intelligence, security and quantum computing were introduced and the first customers of the new Project Amber verification service were announced, Ediz Altun said;

“Through an expanding range of platforms, tools, and solutions to address the challenges of digitalization today and in the future, Intel is focused on helping developers be more productive and realize their potential for positive social benefit.” said.

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Empowering developers with openness

Lavender delivered his keynote for the second of the two-day developer-focused event, starting with oneAPI, a cross-industry, open, standards-based programming model that allows developers to choose the best architecture for the particular problem they’re trying to solve, starting with Intel’s commitment to openness, choice, and trust. stressed its commitment.

Building on the progress made in oneAPI adoption and implementation, the initiative evolves into a community forum to shape the future direction of oneAPI and meet the changing needs of developers, software vendors, national labs, researchers, and silicon vendors.

Codeplay, an Intel subsidiary with expertise and experience in developing open standards and delivering cross-platform implementations of SYCL and oneAPI tools, will now take charge of the oneAPI development community.

Intel will continue to provide developer tools and easy-to-access toolkits based on these oneAPI specifications. Intel oneAPI 2023 toolkits that will support Intel’s latest and upcoming CPU, GPU and FPGA architectures and include tools such as the open source SYCLomatic compatibility tool To be released in December.

SYCLomatic offers developers a choice in computing architectures by helping to convert CUDA source code to SYCL source code.

Intel also plans to expand support for oneAPI in key applications and expand oneAPI training curriculum development. that six more education and research institutions have established oneAPI Center of Excellence also announced.

New Centers of Excellence include the School of Software and Microelectronics of Peking University, the Science and Technology Facilities Council in the UK, the Technion Israel Institute of Technology (Technion Israel Institute of Technology), Lawrence Livermore National Laboratory (LLNL) collaboration includes the University of Utah (University of Utah), University of California San Diego and Zuse Institute Berlin.

For developers who want to create new AI solutions quickly, efficiently, and industry-specific, Intel is the healthcare industry released three new AI reference kits: document automation, disease prediction and diagnostics with medical imaging. Alongside the four kits released in July, developers can find them on GitHub.

“Our goal is to make it easy for developers to get the best software technology through the open source ecosystem or as products offered by Intel,” Lavender said. According to the Global Development Survey conducted by Evans Data Corporation in 2021, nearly 90% of developers are using software developed or optimized by Intel without realizing it.

Among many examples, Intel has been one of the top contributors to the Linux kernel for over a decade, and has recently helped integrate the oneDNN performance library into TensorFlow, automatically delivering up to 3x performance boosts to millions of people using the popular AI framework.

New Services Enabled by Better Security: E-Prescriptions and Remote Care

There are brand new opportunities at the intersection of open software, hardware solutions and business needs – as in Germany’s e-prescribing project, which is underway for dissemination.

IBM developed its e-prescription solution and integrated Intel Software Guard Extensions (SGX) into Gramine to help maintain platform integrity and the need for stringent security and privacy while delivering an excellent customer experience. Intel is the top contributor to the open-source Gramine project, which enables Germany’s national digital health agency to achieve with minimal modification the integrity and confidentiality provided by SGX secure enclaves.

More examples are in the works, thanks to Project Amber, a software-as-a-service for authentication in confidential computing that was introduced at Intel Vision a few months ago. Leidos, one of the leading US federal government technology contractors, is working with Project Amber to protect veterans’ health information for future use in mobile clinics. builds proof of concept.

Accompanying Lavender on stage, Leidos Health Group President Liz Porter said: “The Amber Project frees Leidos from the need to set up and maintain complex, expensive verification systems, allowing us to focus on our core differentiation – intelligent automation and AI/machine learning-driven analytics.”

Accelerating Innovation in Artificial Intelligence, Quantum and Neuromorphic Computing and What’s Next

Another benefit of open technology is that it can be combined into a myriad of solutions offered by vendors and customers with different expertise. Red Hat Chief Technology Officer Chris Wright accompanied Lavender on stage via videoconference, showing that Red Hat’s OpenShift Data Science is “integrated with Intel’s AI portfolio so developers can use Intel’s AI Analytics Kit and OpenVINO tools to build their models. explained that they can train and distribute”.

Red Hat is working to make the Habana Gaudi training accelerator available in its service to provide “cost-effective, high-performance, deep learning model training and deployment as an all-managed cloud service.” Wright is also a joint venture that aims to “help developers easily learn, test, and deploy models using Red Hat OpenShift Data Science and Intel’s integrated portfolio of AI and edge.” Intel and Red Hat Artificial Intelligence Developer Programannounced the launch of

For those ready to take their acceleration needs a step further in the future, Intel is designed to help developers learn how to program quantum algorithms and begin to bring this new technology to its full potential. Intel Quantum SDKannounced the. The beta version of the Intel Quantum SDK is currently available on the Intel Developer Cloud.

Lavender also detailed progress towards post-quantum cryptography, which is part of Intel’s three-step approach to addressing the threats posed by quantum computers, outlined in Intel Vision in May. Lavender said that recent developments in standardization and increasing the urgency of opportunities and risks are “significant steps forward for our industry, which is prepared to be Y2Q-ready or quantum-resilient by 2030.” believes it will have a greater impact than the Millennium Failure.”

As part of Intel’s goal of bringing neuromorphic technology to commercial reality, Intel Labs has announced Kapoho Point, a stackable multi-board platform based on the Loihi 2 research chip, updates to the Lava open software development framework, and new members to the Intel Neuromorphic Research Community (INRC) and Intel. announced new tools for developers, including the addition of eight university projects sponsored by .

Intel also supports future innovation through partnerships with education and academia. Today, the company recognizes early-career faculty members who, with their innovative and disruptive ideas, have made significant contributions to research or education in the semiconductor and computer industries. Intel® Rising Star Faculty Award programannounced the.

This year’s winners are from 15 different institutions around the world and were selected for their advances in innovative teaching methods and the participation of underrepresented minorities and women in computer science and engineering, as well as research areas ranging from artificial intelligence to quantum materials.

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