All over the world, political parties, politicians, and campaigns explore how Artificial Intelligence (AI) can help them win elections. However, the effects of these activities are unknown. We propose a framework for assessing AI's impact on elections by considering its application in various campaigning tasks. The electoral uses of AI vary widely, carrying different levels of concern and need for regulatory oversight. To account for this diversity, we group AI-enabled campaigning uses into three categories - campaign operations, voter outreach, and deception. Using this framework, we provide the first systematic evidence from a preregistered representative survey and two preregistered experiments (n=7,635) on how Americans think about AI in elections and the effects of specific campaigning choices. We provide three significant findings. There is a misalignment of incentives for deceptive practices and their externalities. We cannot count on public opinion to provide strong enough incentives for parties to forgo tactical advantages from AI-enabled deception. There is a need for regulatory oversight and systematic outside monitoring of electoral uses of AI. Still, regulators should account for the diversity of AI uses and not completely disincentivize their electoral use. Elections are times of high public attention on campaigns and their tools of communication. A representative survey of Americans shows that people dislike all kinds of AI uses in campaigns but are more critical of deceptive uses than those improving campaign operations or voter outreach (Study 1, n = 1,199). A survey experiment shows that when learning about specific AI uses in campaigns, American respondents reacted much more negatively to deceptive uses (Study 2, n = 1,985). Our study identifies a misalignment of incentives for deceptive practices and their externalities. We cannot count on public opinion to provide strong enough incentives for parties to forgo tactical advantages from AI-enabled deception.

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In the fall of 2018, corporate finance advisory firm Hampleton published a report titled, "The healthtech sector is currently one of the most dynamic in technology M&A." As a summary of the report notes, "aging populations, increasing patient demands and the rise of lifestyle diseases, coupled with pressure on the costs for delivering care are forcing healthcare providers to innovate to improve the quality of their services and lower their prices." Those innovations are made possible by technologies that range from blockchain and artificial intelligence to big data analysis and advanced sensors. IoT connectivity plays a key role, too. And data is central, but not on its own.

NoC interconnect IP to be dataflow backbone for image signal processors providing enhanced sensitivity, high-resolution HD imaging through low current, low power in a single-chip solution for the security/surveillance market. Eyenix's imaging solution provides a step-function advance over their previous product, replacing a 3rd-party artificial intelligence (AI) function with a superior capability developed in-house for super-resolution imaging. This is provided in a tightly integrated system design, including functions for image stabilization for mobile usage and image dewarping for wide-angle camera correction. The first application is destined for surveillance camera applications. Eyenix chose Arteris IP on-chip interconnect technology as a part of Eyenix's proprietary image processing chip because it enables Eyenix to design and integrate a complete and superior Eyenix imaging solution without dependency on external IP blocks for the AI function.

The combination of WekaFS and NVIDIA enables customers to accelerate AI/ML initiatives that dramatically accelerate their time-to-value and time-to-market CAMPBELL, Calif., June 29, 2021 – WekaIO (Weka), one of the fastest-growing data platforms for artificial intelligence/machine learning (AI/ML), life sciences research,

WIRE)--WekaIO (Weka), the fastest-growing data platform for artificial intelligence/machine learning (AI/ML), life sciences research, enterprise technical computing, and high-performance data analytics (HPDA), today announced that it has been named a finalist in The Business Intelligence Group's inaugural Artificial Intelligence Excellence Awards program. The Artificial Intelligence Excellence Awards recognizes those organizations and products that are truly unique and making an impact on the market. Weka's Limitless Data Platform is built on a shareable, scalable, and distributed file storage system (WekaFS). Designed to help future-ready clients' data centers and enable digital transformation, the breakthrough WekaFS solution was architected to leverage the performance benefits of flash, high-speed networking, and compute acceleration technologies (like GPUs) whether the data resides on-premises, in the public cloud, or as a hybrid model. WekaFS stands out as a leading solution because it gives clients the leverage to get more value out of their compute resources, providing a full enterprise-grade solution with advanced security and full cloud integration.

CAMPBELL, Calif., March 26, 2020 – WekaIO (Weka) announced that The Business Intelligence Group has named Weka a winner in its Artificial Intelligence Excellence Awards program. The Weka File System (WekaFS), Weka's flagship product that is uniquely built to solve big problems, delivers the industry's best performance at any scale. WekaFS has a clean sheet design that handles the demands of new emerging and converging workloads, including artificial intelligence (AI) and machine/deep learning (ML/DL), high-performance data analytics (HPDA), and high-performance computing (HPC). The file system can deliver 80 GB/sec of bandwidth to a single GPU server, scale to Exabytes in a single namespace, and support an entire pipeline for edge-to-core-to-cloud workflows. The system also delivers operational agility with versioning, explainability, and reproducibility along with governance and compliance with in-line encryption and data protection.

WIRE)--WekaIO (Weka), the innovation leader in high-performance, scalable file storage for data-intensive applications, today announced that Innoviz, a leading manufacturer of high-performance, solid-state Light Detection and Ranging (LiDAR) sensors and Perception Software that enables the mass-production of autonomous vehicles, has selected the Weka File System (WekaFS) to accelerate its Artificial Intelligence (AI) and deep learning workflows. WekaFS has been chosen by Innoviz to improve application performance at scale and deliver high bandwidth I/O to its GPU cluster. Innoviz's solid-state LiDAR sensors are key to the future of autonomous cars. The sensors and Perception Software, which identifies, classifies, segments, and tracks objects to give autonomous vehicles a better understanding of the 3D driving scene, rely heavily on AI. Having recently closed its Series C funding round with $170M secured, Innoviz is choosing and developing the right technologies to empower it to realize its expansion plans and enhance its manufacturing capabilities.

Manjrekar comes to WekaIO from SwiftStack, a leading provider of data storage and management solutions for data-driven customers. During his time at SwiftStack, he was Head of AI, responsible for Product, Solutions, and Corporate Development. Prior to SwiftStack, he had roles as Senior Director at Vexata, EMC, NetApp, Force10 Networks and previously held Senior Eng. Manjrekar is a seasoned IT professional who has extensive experience in building and managing emerging businesses across the USA, Asia, and EMEA. He brings an established background in providing effective product management, solutions marketing, and strategic alliances, along with a strong sense of business development vision and leadership to his new position.

El DORADO HILLS, CA -- November 12, 2019 -- BlaizeTM today emerged from stealth and unveiled a groundbreaking next-generation computing architecture that precisely meets the demands and complexity of new computational workloads found in artificial intelligence (AI) applications. Driven by advances in energy efficiency, flexibility, and usability, Blaize products enable a range of existing and new AI use cases in the automotive, smart vision, and enterprise computing segments, where the company is engaged with early access customers. These AI systems markets are projected to grow rapidly* as the disrupting influence of AI transforms entire industries and AI functionality becomes a "must-have" requirement for new products. "Blaize was founded on a vision of a better way to compute the workloads of the future by rethinking the fundamental software and processor architecture," says Dinakar Munagala, Co-founder and CEO, Blaize. "We see demand from customers across markets for new computing solutions that address the immediate unmet needs for technology built for the emerging age of AI, and solutions that overcome the limitations of power, complexity and cost of legacy computing."