Scott Bair is a key voice at Intel Labs, sharing insights into innovative research for inventing tomorrow’s technology.
- Intel Labs presented many exciting research innovations in 2022 and participated in many research collaborations, conferences, and workshops throughout the year.
- Intel Labs’ top posts of 2022 cover Intel’s Outstanding Researcher Awards, new AI methods, Intel Labs at Intel® Vision, the DARPA RACER-sim program, human-AI collaboration, post-quantum cryptography, integrated photonics, Intel Labs at Intel® Innovation, quantum computing, and federated learning.
Intel Labs presented many exciting research innovations in 2022. In addition to spearheading innovative research efforts, Intel Labs researchers presented their findings in computer vision, silicon IP design, quantum computing, and much more at conferences throughout the year. Many of these efforts are made possible through Intel Labs’ academic and industry partnerships. One such partnership with the Computer Vision Center in Spain, Kujiale in China, and the Technical University of Munich led to the development of a Simulator for Photorealistic Embodied AI Research.
In addition to the Outstanding Researcher Awards, Intel Labs had the pleasure of recognizing the 2022 Intel® Rising Star Faculty Award recipients for their groundbreaking technology research along with the newest Intel technologists named as Institute of Electrical and Electronics Engineers (IEEE) Fellows for their extraordinary accomplishments in engineering, science, and technology.
These works only comprise a fraction of Intel Labs’ efforts this year. Amidst the research spanning a variety of breakthrough technologies, the Intel Labs team was humbled to reach 100K followers on LinkedIn. Out of countless publications, a few posts seemed to stand above the rest. Continue reading below for a brief description of Intel Labs’ top 10 blogs for 2022 (in order of publication).
Intel is pleased to present its 2021 Outstanding Researcher Awards (ORAs) to 17 leading academic researchers. The annual award program recognizes the exceptional contributions made through Intel university-sponsored research. Intel sponsors and works alongside academic researchers around the globe in areas such as field-programmable gate arrays (FPGAs), artificial intelligence (AI), and other innovative technologies.
In partnership with Intel’s security research team and internal business units, Intel Labs is leading and coordinating its Trusted Media research efforts. The team is exploring how to incorporate detection technology and media provenance in Intel products and is looking at how customers can integrate new technologies into their platforms. Two initial research areas include deepfake detection, or the fake production or modification of media using machine learning and AI, and media authentication technology to confirm the validity of the content, among other solutions.
The Intel® Vision 2022 conference is an event designed to empower business leaders and technology administrators with solution-driven insights for the future. As a conference participant, Intel Labs presented the Vision for the Future track, where top researchers from Intel Labs, entrepreneurs from Intel Ignite, leaders from Intel Foundry Services, and academic partners will discuss leading-edge technologies for business leaders and technology administrators. The Vision for the Future track explored the following:
- Security for financial services, including important developments in homomorphic encryption
- The benefits of human-AI collaboration in manufacturing
- How computer vision continues to transform retailer and customer interactions
- How federated learning is paving the way for deep learning collaborations in healthcare
- Applications of cognitive AI technologies in retail and recommendations systems
The Defense Advanced Research Projects Agency (DARPA) has awarded Intel Federal LLC, with support from Intel Labs and its collaborators, the Computer Vision Center Barcelona, Spain, and the University of Texas at Austin, the opportunity to develop advanced simulation solutions for off-road autonomous ground vehicles. The Robotic Autonomy in Complex Environments with Resiliency – Simulation (RACER-Sim) program aims to create the next generation of off-road simulation platforms to significantly reduce the development cost and bridge the gap between simulation and the real world.
The Intelligent Systems Research team at Intel Labs focuses on developing approaches for Humans and Artificial Intelligence to work together to make technology more inclusive, education more immersive, and workspaces more efficient for everyone.
Quantum computing accelerates the computation of certain types of algorithms, giving it the potential to solve some of the world’s most intractable problems—in medical treatments, materials science, chemical engineering, pharmacology, and more. This grand potential, however, comes with an asterisk that cannot be ignored. Quantum computers will be able to break much of the cryptography currently used in our worldwide digital infrastructure for secure digital interactions, including everything from e-commerce to national security.
Intel Labs announces a significant advancement in its integrated photonics research – the next frontier in increasing communication bandwidth between compute silicon in data centers and across networks. The latest research features industry-leading advancements in multiwavelength integrated optics, including the demonstration of an eight-wavelength distributed feedback (DFB) laser array that is fully integrated on a silicon wafer and delivers excellent output power uniformity of +/- 0.25 decibel (dB) and wavelength spacing uniformity of ±6.5% that exceed industry specifications.
The Intel® Innovation conference is an event designed to inform and ignite the imagination of developers and other tech leaders. At the event, Intel Labs led the Innovation for the Future track, which offers developers and tech experts an insider’s look at the next generation of hardware and software solutions—several of which promise greater access and affordability. This track introduced the latest advancements in quantum computing, AI, machine learning, and more. Participants also received a sneak peek at the latest multimedia and virtual reality technologies, assistive computing, and Wi-Fi respiration sensing, just to name a few.
Intel researchers have been working toward delivering a full-stack commercial quantum system for the past six years. This includes qubit architecture and algorithms research, control electronics, interconnects, quantum software toolchains and compilers, continuing to the application layer. Researchers leverage the company’s deep expertise in silicon transistor design, high-volume manufacturing and advanced fabrication technologies to create silicon spin qubits.
Intel has recently made significant quantum gains, including the mass production of qubits on 300-millimeter silicon wafers using extreme ultraviolet (EUV) lithography in a high-volume factory that allows us to fit 10,000 small arrays of quantum dots on a single wafer. In other Quantum news, President Biden recently added Intel’s Jim Clarke, among others, to The National Quantum Initiative Advisory Committee (NQIAC).
Intel Labs and the Perelman School of Medicine at the University of Pennsylvania (Penn Medicine) have completed a joint research study using federated learning – a distributed machine learning (ML) artificial intelligence (AI) approach – to help international healthcare and research institutions identify malignant brain tumors. The largest medical federated learning study to date with an unprecedented global dataset examined from 71 institutions across six continents, the project demonstrated the ability to improve brain tumor detection by 33%.
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