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Intel Corporation is an American multinational corporation headquartered in Santa Clara, California. Intel is one of the world's largest and highest valued semiconductor chip makers, based on revenue. It is the inventor of the x86 series of microprocessors, the processors found in most personal computers.Intel Corporation, founded on July 18, 1968, is a portmanteau of Integrated Electronics . Intel also makes motherboard chipsets, network interface controllers and integrated circuits, flash memory, graphic chips, embedded processors and other devices related to communications and computing. Founded by semiconductor pioneers Robert Noyce and Gordon Moore and widely associated with the executive leadership and vision of Andrew Grove, Intel combines advanced chip design capability with a leading-edge manufacturing capability. Though Intel was originally known primarily to engineers and technologists, its "Intel Inside" advertising campaign of the 1990s made it a household name, along with its Pentium processors.Intel was an early developer of SRAM and DRAM memory chips, and this represented the majority of its business until 1981. Although Intel created the world's first commercial microprocessor chip in 1971, it was not until the success of the personal computer that this became its primary business. During the 1990s, Intel invested heavily in new microprocessor designs fostering the rapid growth of the computer industry. During this period Intel became the dominant supplier of microprocessors for PCs, and was known for aggressive and sometimes illegal tactics in defense of its market position, particularly against Advanced Micro Devices , as well as a struggle with Microsoft for control over the direction of the PC industry.The 2013 rankings of the world's 100 most valuable brands published by Millward Brown Optimor showed the company's brand value at number 61.Intel has also begun research into electrical transmission and generation. Intel has recently introduced a 3-D transistor that improves performance and energy efficiency. Intel has begun mass-producing this 3-D transistor, named the Tri-Gate transistor, with their 22 nm process, which is currently used in their 3rd generation core processors initially released on April 29, 2012. In 2011, SpectraWatt Inc., a solar cell spinoff of Intel, filed for bankruptcy under Chapter 11. In June 2013, Intel unveiled its fourth generation of Intel Core processors in an event named Computex in Taipei.The Open Source Technology Center at Intel hosts PowerTOP and LatencyTOP, and supports other open-source projects such as Wayland, Intel Array Building Blocks, Threading Building Blocks , and Xen. Wikipedia.

Agency: Cordis | Branch: H2020 | Program: IA | Phase: GALILEO-1-2015 | Award Amount: 3.28M | Year: 2016

Lane-level positioning and map matching are some of the biggest challenges for navigation systems. Although vehicle telematics provide services with positioning requirements fulfilled by low-cost GNSS receivers, more complex road and driver assistance applications are increasingly been deployed, due to the growing demand. These include lane-level information as well as lane-level navigation and prioritised alerts depending on the scenario composition (traffic sign, navigation instructions, ADAS instructions). These applications need a more accurate and reliable positioning subsystem. A good example of these new requirements can be witnessed in the increasing interest in navigation at lane-level, with applications such as enhanced driver awareness, intelligent speed alert and simple lane allocation. As well as the accuracy of positioning data being a big driver, there is also a question around the adaptability of navigation systems to these applications. This depends firstly on the availability of an accurate common reference for positioning (an enhanced map) and secondly, on the level of the provided pose estimation (integrity). However, neither the current road maps nor the traditional integrity parameters seem to be well suited for these purposes. Delivering lane-level information to an in-vehicle navigation system and combining this with the opportunity for vehicles to exchange information between themselves, will give drivers the opportunity to select the optimal road lane, even in dense traffic in urban and extra-urban areas. Every driver will be able to choose the appropriate lane and will to be able to reduce the risks associate with last-moment lane-change manoeuvres. inLane proposes new generation, low-cost, lane-level, precise turn-by-turn navigation applications through the fusion of EGNSS and Computer Vision technology. This will enable a new generation of enhanced mapping information based on crowdsourcing.

Mei X.,Intel Corporation | Ling H.,Temple University
IEEE Transactions on Pattern Analysis and Machine Intelligence | Year: 2011

In this paper, we propose a robust visual tracking method by casting tracking as a sparse approximation problem in a particle filter framework. In this framework, occlusion, noise, and other challenging issues are addressed seamlessly through a set of trivial templates. Specifically, to find the tracking target in a new frame, each target candidate is sparsely represented in the space spanned by target templates and trivial templates. The sparsity is achieved by solving an ℓ1-regularized least-squares problem. Then, the candidate with the smallest projection error is taken as the tracking target. After that, tracking is continued using a Bayesian state inference framework. Two strategies are used to further improve the tracking performance. First, target templates are dynamically updated to capture appearance changes. Second, nonnegativity constraints are enforced to filter out clutter which negatively resembles tracking targets. We test the proposed approach on numerous sequences involving different types of challenges, including occlusion and variations in illumination, scale, and pose. The proposed approach demonstrates excellent performance in comparison with previously proposed trackers. We also extend the method for simultaneous tracking and recognition by introducing a static template set which stores target images from different classes. The recognition result at each frame is propagated to produce the final result for the whole video. The approach is validated on a vehicle tracking and classification task using outdoor infrared video sequences. © 2011 IEEE.

Borkar S.,Intel Corporation
Journal of Lightwave Technology | Year: 2013

Unprecedented transistor integration capacity will exist to make computing truly ubiquitous, but the energy consumption will be a major challenge. Compute energy can be reduced by employing near threshold voltage operation, and advances in memory architecture will reduce memory energy. However, energy consumed in data movement over interconnects will become prohibitive. Severe tapering of interconnect bandwidth brings interconnect energy within limit, but potentially hinders the system performance. Hence, a holistic hardware/software codesigned system approach is required. © 2013 IEEE.

Shahil K.M.F.,University of California at Riverside | Shahil K.M.F.,Intel Corporation | Balandin A.A.,University of California at Riverside
Nano Letters | Year: 2012

We found that the optimized mixture of graphene and multilayer graphene, produced by the high-yield inexpensive liquid-phase-exfoliation technique, can lead to an extremely strong enhancement of the cross-plane thermal conductivity K of the composite. The "laser flash" measurements revealed a record-high enhancement of K by 2300% in the graphene-based polymer at the filler loading fraction f = 10 vol %. It was determined that the relatively high concentration of the single-layer and bilayer graphene flakes (∼10-15%) present simultaneously with the thicker multilayers of large lateral size (∼1 μm) were essential for the observed unusual K enhancement. The thermal conductivity of the commercial thermal grease was increased from an initial value of ∼5.8 W/mK to K = 14 W/mK at the small loading f = 2%, which preserved all mechanical properties of the hybrid. Our modeling results suggest that graphene-multilayer graphene nanocomposite used as the thermal interface material outperforms those with carbon nanotubes or metal nanoparticles owing to graphene's aspect ratio and lower Kapitza resistance at the graphene-matrix interface. © 2012 American Chemical Society.

Oyman O.,Intel Corporation
IEEE Transactions on Wireless Communications | Year: 2010

In order to understand the key merits of multiuser diversity, opportunistic scheduling and spectrum reuse techniques in downlink relay-based cellular networks, this paper analyzes the spectral efficiency performance over a fading multihop broadcast channel (MBC) composed of a base station (BS), a relay station (RS), U far users and V near users in the asymptotic regime of large number of users. Using tools from extreme-value theory, we characterize the average spectral efficiency of the MBC as a function of the number of users and physical channel parameters. Our analysis yields very accurate formulas even for moderately low values of U and V , specified in detail and verified (via Monte Carlo simulations) for the case of Rayleigh fading. Next, we consider a relaybased broadband multi-cellular network in the downlink mode; with special focus on orthogonal frequency-division multipleaccess (OFDMA) resource allocation and investigate the spectral efficiency performance of opportunistic multiuser scheduling and spectrum reuse techniques based on capacity analysis and systemlevel simulations. This empirical study validates our analytical insights and helps to further identify design tradeoffs associated with spectrum reuse, interference management and multiuser diversity techniques in relay-based cellular networks. © 2006 IEEE.

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