Collaborating Authors


Remote Cloud network Engineer openings near you -Updated October 23, 2022 – Remote Tech Jobs


Join the Cox family of businesses and make your mark today! About Cox CommunicationsCox Communications is the largest private telecom company in America, serving six million homes and businesses. That's a lot, but we also proudly serve our employees. Our benefits and our award-winning culture are just two of the things that make Cox a coveted place to work. If you're interested in bringing people closer through broadband, smart home tech and more, join Cox Communications today! About CoxCox empowers employees to build a better future and has been doing so for over 120 years. With exciting investments and innovations across transportation, communications, cleantech and healthcare, our family of businesses – which includes Cox Automotive and Cox Communications – is forging a better future for us all. Ready to make your mark?

An Introduction to Accelerator and Parallel Programming


Computers are a means to an end. They allow us to have faster solutions to complex problems, provide the ability to store and retrieve information across the globe, provide the backbone for remarkable technologies like robotics and self-driving cars (sort of) and AI, and hopefully uplift the lives of everyone on the planet. As the problems to solve have become more complex, computer architecture, programming languages, and programming models have continued to evolve. This has led to the growth of hardware accelerators and domain-specific programming models. Professor David Patterson from UC Berkeley (the author of all the computer architecture books I had in college) has talked extensively about domain-specific architectures and accelerators.

Remote Computer Vision Engineer openings in California on August 14, 2022 – Data Science Jobs


Role requiring'No experience data provided' months of experience in None Samsara (NYSE: IOT) is the pioneer of the Connected Operations Cloud, which allows businesses that depend on physical operations to harness IoT (Internet of Things) data to develop actionable business insights and improve their operations. Founded in San Francisco in 2015, we now employ more than 1,800 people globally and have over 1.5 million active devices. Samsara also went public in December 2021 and we're just getting started. Recent awards we've won include: • #2 in the Financial Times' Fastest Growing Companies in Americas list 2021 • Named as a Best Place to Work in Built In 2022 • #19 in the Forbes Cloud 100 2021 • IoT Analytics Company of the Year in 2022's IoT Breakthrough Winners • Forbes Advisor named us the Best Solution for Large Companies – Fleet management software for 2022! We're driving change in industries that are yet to fully embrace digital transformation. Physical operations make up a massive slice of the global economy but haven't benefited from innovation and actionable information in the way that other sectors have.

Fulltime Penetration Tester openings in California on August 08, 2022 – Infosec Jobs


Role requiring'No experience data provided' months of experience in Newark At Lucid, we don't just welcome diversity – we celebrate it! Lucid Motors is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity and expression, marital status, and any other characteristic protected under applicable State or Federal laws and regulations. In response to the novel Coronavirus all new Lucid employees, whose job will be based in the United States may or may not be required to provide original documentation confirming status as having received the prescribed inoculation (doses). Vaccination requirements are dependent upon location and position, please refer to the job description for more details.

What programming language for artificial intelligence is the best? (2022) - Dataconomy


What programming language for artificial intelligence is suitable for you? It is a crucial question for your company's future. Every major tech business and even startups are working on artificial intelligence (AI), which has emerged as one of the hottest issues and largest study disciplines. It's a tremendously broad topic that covers anything from simple calculators and self-driving cars to intelligent robots that could fundamentally alter the course of human history. The core of AI is creating machines that are as intelligent as or more intelligent than humans. Better AI solutions are continuously being sought after by businesses. IDC projects that the market for artificial intelligence will reach $500 billion by 2024, with a five-year CAGR of 17.5% and total revenue of $554.3 billion.

Red Hat Linux is coming to your Vette and Caddy Escalade


Steven J. Vaughan-Nichols, aka sjvn, has been writing about technology and the business of technology since CP/M-80 was the cutting edge, PC operating system; 300bps was a fast Internet connection; WordStar was the state of the art word processor; and we liked it. Linux has long played a role in cars. Some companies, such as Tesla, run their own homebrew Linux distros. Audi, Mercedes-Benz, Hyundai, and Toyota all rely on Automotive Grade Linux (AGL). AGL is a collaborative cross-industry effort developing an open platform for connected cars with over 140 members.

Technology Ethics in Action: Critical and Interdisciplinary Perspectives Artificial Intelligence

This special issue interrogates the meaning and impacts of "tech ethics": the embedding of ethics into digital technology research, development, use, and governance. In response to concerns about the social harms associated with digital technologies, many individuals and institutions have articulated the need for a greater emphasis on ethics in digital technology. Yet as more groups embrace the concept of ethics, critical discourses have emerged questioning whose ethics are being centered, whether "ethics" is the appropriate frame for improving technology, and what it means to develop "ethical" technology in practice. This interdisciplinary issue takes up these questions, interrogating the relationships among ethics, technology, and society in action. This special issue engages with the normative and contested notions of ethics itself, how ethics has been integrated with technology across domains, and potential paths forward to support more just and egalitarian technology. Rather than starting from philosophical theories, the authors in this issue orient their articles around the real-world discourses and impacts of tech ethics--i.e., tech ethics in action.

Tesla to disable 'rolling stop' feature as it may increase risk of collisions


Tesla is issuing a recall of 53,822 vehicles in the U.S. due to an experimental feature that may be dangerous. The recall boils down to the removal of the'rolling stop' feature in the optional Full Self Driving software package, introduced as a beta feature in October 2021. According to the National Highway Traffic Safety Administration (via CNBC), the feature may allow vehicles to travel through an all-way stop intersection without first coming to a stop. The recall covers 2016-2022 Model S and Model X vehicles, 2017-2022 Model 3 vehicles, and 2020-2022 Model Y vehicles. Tesla did not comment on the recall, though the CNBC says the company said it was not aware of any warranty claims, crashes, injuries, or fatalities related to the recall as of Jan. 27.

A Probabilistic Framework for Dynamic Object Recognition in 3D Environment With A Novel Continuous Ground Estimation Method Artificial Intelligence

In this thesis a probabilistic framework is developed and proposed for Dynamic Object Recognition in 3D Environments. A software package is developed using C++ and Python in ROS that performs the detection and tracking task. Furthermore, a novel Gaussian Process Regression (GPR) based method is developed to detect ground points in different urban scenarios of regular, sloped and rough. The ground surface behavior is assumed to only demonstrate local input-dependent smoothness. kernel's length-scales are obtained. Bayesian inference is implemented sing \textit{Maximum a Posteriori} criterion. The log-marginal likelihood function is assumed to be a multi-task objective function, to represent a whole-frame unbiased view of the ground at each frame because adjacent segments may not have similar ground structure in an uneven scene while having shared hyper-parameter values. Simulation results shows the effectiveness of the proposed method in uneven and rough scenes which outperforms similar Gaussian process based ground segmentation methods.