Intel Corp - INTC STOCK NEWS

Mobileye, an Intel company, unveiled its strategy for autonomous vehicles (AVs) during CES 2021. CEO Amnon Shashua outlined Mobileye’s plan to lead the AV industry by combining advanced sensing technologies, including Road Experience Management (REM) mapping and True Redundancy safety systems. The new silicon photonics lidar SoC is set for 2025, promising enhanced detection capabilities. Mobileye’s crowdsourced mapping technology tracks nearly 8 million kilometers daily, establishing it as a formidable player in global AV deployment. The emphasis on affordability and scalability is key to their strategy.

Intel Corporation is open to suggestions from investors to enhance shareholder value. The company expresses interest in engaging with Third Point LLC regarding their proposals aimed at achieving this objective. Intel, traded under the symbol INTC, is a leader in technology innovation, focused on advancing semiconductor design and manufacturing to meet global challenges. For more insights into their operations and innovations, visit newsroom.intel.com.

Intel emphasizes the evolution of the PC experience through its collaboration with ecosystem partners since 2018. The company highlights that recent advancements have resulted in the Intel® Evo™ platform, featuring over 140 verified laptop designs with improved performance, battery life, and user experience. Key innovations include the 1-watt panel, extending battery life by up to 8 hours. The introduction of the Intel® Visual Sensing Controller aims to enhance security and intelligence in PCs. With over 1 million hours of collaborative effort, Intel remains committed to driving platform-level innovation in the computing industry.

Mobileye has released a video showcasing its autonomous vehicle (AV) navigating urban and highway scenarios in Munich, Germany. Leveraging its crowd-sourced high-definition mapping technology, Road Experience Management (REM), Mobileye demonstrates its capability to drive AVs 'everywhere' rapidly. The technology is capable of updating more than 15 million kilometers of roads daily, providing real-time mapping for AVs. This advancement allows immediate testing upon vehicle delivery, a significant edge over competitors who require extensive mapping periods.

At Intel Labs Day, Intel unveiled significant advancements in integrated photonics, aiming to enhance data center performance amid escalating data workloads. The company demonstrated key technology building blocks, such as micro-ring modulators that are over 1,000 times smaller than traditional components, thus addressing integration challenges. This research is critical as electrical I/O is nearing its performance limits, leading to an I/O power wall. By integrating optical I/O directly into servers, Intel aims to improve data movement efficiency and support future high-speed network architectures.

Intel has expanded its Neuromorphic Research Community (INRC) by adding Lenovo, Logitech, Mercedes-Benz, and Prophesee, emphasizing collaborative development in neuromorphic computing. This initiative aims to enhance computing efficiency and speed for business applications. Notable advances include a Loihi chip achieving 1,000 times more energy efficiency in voice command recognition and significant improvements in gesture recognition and image retrieval. Intel's efforts signal a transition from research to commercial viability, indicating a growing market interest in neuromorphic technology.

Intel has introduced Horse Ridge II, a second-generation cryogenic control chip for quantum computing, during its Intel Labs virtual event. This innovation enhances scalability, addressing a critical challenge in quantum systems. The new chip builds on the first-generation Horse Ridge, featuring improved capabilities and integration for controlling qubit states and multiple gates. Key features include qubit readout and multigate pulsing, enabling effective qubit entanglement and operation. The chip utilizes Intel's 22nm low-power FinFET technology and aims for future developments to improve operational efficiency in silicon spin qubits.

Intel has introduced ControlFlag, an innovative machine programming research system designed to autonomously detect coding errors. In preliminary tests, it trained on over 1 billion lines of production-quality code. This tool aims to alleviate the burden of debugging, a task that consumes about 50% of software developers' time, ultimately reducing costs in the IT industry, which spends $1.25 trillion annually on software development. ControlFlag employs anomaly detection to customize error recognition based on a developer’s style.

At AWS re:Invent 2020, AWS CEO Andy Jassy announced the launch of EC2 instances utilizing up to eight Habana Gaudi accelerators, improving price performance by 40% over current GPU-based instances for machine learning tasks. Gaudi accelerators focus on deep learning applications like natural language processing and object detection. The collaboration aims to enhance AI model training efficiency. Intel, having acquired Habana in 2019, integrates Gaudi into its broader AI strategies, promoting reduced training costs and supporting popular frameworks such as TensorFlow and PyTorch.