How Do Pedestrians' Perception Change toward Autonomous Vehicles during Unmarked Midblock Multilane Crossings: Role of AV Operation and Signal Indication ABSTRACT One of the primary impediments hindering the widespread acceptance of autonomous vehicles (AVs) among pedestrians is their limited comprehension of AVs. This study employs virtual reality (VR) to provide pedestrians with an immersive environment for engaging with and comprehending AVs during unmarked midblock multilane crossings. Diverse AV driving behaviors were modeled to exhibit negotiation behavior with a yellow signal indication or nonyielding behavior with a blue signal indication. This paper aims to investigate the impact of various factors, such as AV behavior and signaling, pedestrian past behavior, etc., on pedestrians' perception change of AVs. Before and after the VR experiment, participants completed surveys assessing their perception of AVs, focusing on two main aspects: "Attitude" and "System Effectiveness." The Wilcoxon signed-rank test results demonstrated that both pedestrians' overall attitude score toward AVs and trust in the effectiveness of AV systems significantly increased following the VR experiment. Notably, individuals who exhibited a greater trust in the yellow signals were more inclined to display a higher attitude score toward AVs and to augment their trust in the effectiveness of AV systems. This indicates that the design of the yellow signal instills pedestrians with greater confidence in their interactions with AVs. Further, pedestrians who exhibit more aggressive crossing behavior are less likely to change their perception towards AVs as compared to those pedestrians with more positive crossing behaviors. It is concluded that integrating this paper's devised AV behavior and signaling within an immersive VR setting facilitated pedestrian engagement with AVs, thereby changing their perception of AVs. INTRODUCTION Autonomous vehicles (AVs) can reduce driver involvement starting from level 3 of conditional driving automation, and at level 5 of full driving automation, they can eliminate driver involvement altogether, as per (1).

ABSTRACT One of the main challenges autonomous vehicles (AVs) will face is interacting with pedestrians, especially at unmarked midblock locations where the right-of-way is unspecified. This study investigates pedestrians' crossing behavior given different roadway centerline features (i.e., undivided, two-way left-turn lane (TWLTL), and median) and various AV operational schemes portrayed to pedestrians through on-vehicle signals (i.e., no signal, yellow negotiating indication, and yellow/blue negotiating/no-yield indications). This study employs virtual reality (VR) to simulate an urban unmarked midblock environment where pedestrians interact with AVs as they cross a four-lane arterial roadway. Results demonstrate that both roadway centerline design features and AV operations and signaling significantly impact pedestrians' unmarked midblock crossing behavior, including the waiting time at the curb, waiting time in the middle of the road, and the total crossing time. Participants in the undivided scene spent a longer time waiting at the curb and walking on the road than in the median and TWLTL scenes, but they spent a shorter time waiting in the middle of the road. Compared to the AV without a signal, the design of yellow signal significantly reduced pedestrian waiting time at the curb and in the middle. But yellow/blue significantly increased the pedestrian waiting time. Interaction effects between roadway centerline design features and AV operations and signaling are significant only for waiting time in the middle of the road. For middle waiting time, yellow/blue signals had the most impact on the median roadway type and the least on the undivided road. Other factors, such as demographics, past behaviors, and walking exposure of pedestrians, are also explored. Results indicate that older individuals tend to wait longer before making crossing decisions, and pedestrians' past crossing behaviors and past walking exposures do not significantly impact pedestrian walking behavior interacting with AV. INTRODUCTION Between 2011 and 2020, the US witnessed a 46% increase in pedestrian fatalities in motor vehicle crashes, resulting in over 55,000 pedestrian deaths (NHTSA, 2020). In 2020 alone, 6,516 pedestrians were killed in traffic crashes, while approximately 54,769 were injured (NHTSA, 2022). On average, one pedestrian was killed every 81 minutes and injured every 10 minutes in traffic crashes, and pedestrian deaths accounted for 17 percent of all traffic fatalities in 2020 (NHTSA, 2022). Most of these pedestrian fatal and injury crashes occurred in urban areas (82%) rather than rural areas (18%), with 75% of them at midblock locations (NHTSA, 2022).

Just two months after its launch, ChatGPT is already estimated to have reached over 100 million users, making it the fastest-growing consumer application ever. Models of this sort, which can generate realistic, human-like text responses, will have a significant impact on our lives. Our speaker, Prof. Gerard de Melo will discuss how a few simple technical ideas enabled such models to become so powerful, & how these led to both strengths & weaknesses. He will then discuss a series of ongoing developments that are likely to shape the next generation of large AI models, e.g. These new developments, however, will not only lead to new applications but also to new risks.

Companies with employees in the European Union (EU) could be affected by a landmark proposal to regulate the use of artificial intelligence (AI) across the region. The EU Artificial Intelligence Act, now working its way through the legislative process, is expected to shape technology and standards worldwide. The act comprises a broad set of rules seeking to regulate the use of AI across industries and social activities, noted Jean-François Gerard, a Brussels-based attorney for Freshfields Bruckhaus Deringer. The AI regulation proposes a sliding scale of rules based on risk: the higher the perceived risk, the stricter the rule, he said. The proposal would classify different AI applications as unacceptable, high, limited or minimal risks, according to a client briefing Gerard helped produce.

You'll learn not only theory, but also dive into code samples and example projects with TensorFlow.js. Using these skills and your knowledge as a web developer, you'll add a whole new field of development to your tool set. This will give you a more concrete understanding of the possibilities offered by machine learning. Discover how ML will impact the future of not just programming in general, but web development specifically.

We live in a world where everything is connected, smart fridges, salt dispensers, egg timers, and even hair brushes. That sounds like a Ummm, ok-ish idea. Well, that's what this show is. Deep Learning with Merrill Grambell is the first show completely hosted by artificial intelligence as it interacts with real-life comedians, musicians, technologists and other interesting guests from all over the world. It's sort of as if Clippy from Microsoft Word and Bonzi Buddy got together and made a talk show.

Home is where that independence and quality of life can be realized. The aging population wants to safely live in their own homes as long as possible. People with disabilities want a home designed for their specific needs. Ultimately, a more accessible home will help people feel connected and valued, and reduce loneliness. "My in-laws just turned 87 and 91, and my family is determining how to best care for them," said Scott Gerard, Senior Technical Staff Member at IBM Research.

The term artificial intelligence (AI) may bring to mind scenes from a sci-fi movie, but in reality it's already transforming many industries, including marketing. AI is gaining widespread traction as a way to solve seemingly impossible problems and accomplish tasks that previously could only be achieved with great effort, time and resources. In a marketing context, AI has the potential to make marketers better at what we've been hired to do. Here are five common challenges marketers face today and how AI can help. Gartner forecasts that 8.4 billion connected things will be in use worldwide by the end of 2017, up 31 percent from 2016, and will reach 20.4 billion by 2020.

E-Spirit has added an artificial intelligence-powered personalization content engine into its FirstSpirit Digital Experience Hub. The Dortmund, Germany-based web content management provider is calling it the FirstSpirit Intelligent Content Engine. FirstSpirit is the company's web content management system that enables its Digital Experience Hub. Michael Gerard, chief marketing officer for e-Spirit, told CMSWire in an interview this week the Intelligent Content Engine helps complete the company's digital experience offering with personalization. He called it a "major component" that supports the expansion of channels used by customers by helping marketers analyze internal and external data coupled with behavioral data.

I remember sitting in a meeting at my old marketing agency in 2013, thinking about how exhausted I was by our company's mundane routine. Rather than channeling our creativity into new marketing programs, my colleagues and I were spending countless hours on administrative tasks, including everything from sending emails to creating spreadsheets to organizing reports. Although we had a sterling work reputation -- our agency was featured on AMC's series The Pitch, won countless awards, and had a robust client roster -- I knew there was untapped potential. I knew we could deliver our services better and faster than competitors while eliminating and automating trivial tasks. Two years later, I launched Five Tier, an AI-driven company that capitalizes on how the future of marketing is automation.