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Data-driven autonomous driving motion generation tasks are frequently impacted by the limitations of dataset size and the domain gap between datasets, which precludes their extensive application in real-world scenarios. To address this issue, we introduce SMART, a novel autonomous driving motion generation paradigm that models vectorized map and agent trajectory data into discrete sequence tokens. These tokens are then processed through a decoder-only transformer architecture to train for the next token prediction task across spatial-temporal series. This GPT-style method allows the model to learn the motion distribution in real driving scenarios. SMART achieves state-of-the-art performance across most of the metrics on the generative Sim Agents challenge, ranking 1st on the leaderboards of Waymo Open Motion Dataset (WOMD), demonstrating remarkable inference speed.

This paper presents Deep ARTMAP, a novel extension of the ARTMAP architecture that generalizes the self-consistent modular ART (SMART) architecture to enable hierarchical learning (supervised and unsupervised) across arbitrary transformations of data. The Deep ARTMAP framework operates as a divisive clustering mechanism, supporting an arbitrary number of modules with customizable granularity within each module. Inter-ART modules regulate the clustering at each layer, permitting unsupervised learning while enforcing a one-to-many mapping from clusters in one layer to the next. While Deep ARTMAP reduces to both ARTMAP and SMART in particular configurations, it offers significantly enhanced flexibility, accommodating a broader range of data transformations and learning modalities.

MAPF focuses on planning collision-free paths for a group of agents. While state-of-the-art MAPF algorithms can plan paths for hundreds of robots in seconds, they often rely on simplified robot models, making their real-world performance unclear. Researchers typically lack access to hundreds of physical robots in laboratory settings to evaluate the algorithms. Meanwhile, industrial professionals who lack expertise in MAPF require an easy-to-use simulator to efficiently test and understand the performance of MAPF algorithms in their specific settings. SMART fills this gap with several advantages: (1) SMART uses a physics-engine-based simulator to create realistic simulation environments, accounting for complex real-world factors such as robot kinodynamics and execution uncertainties, (2) SMART uses an execution monitor framework based on the Action Dependency Graph, facilitating seamless integration with various MAPF algorithms and robot models, and (3) SMART scales to thousands of robots. In addition, we use SMART to explore and demonstrate research questions about the execution of MAPF algorithms in real-world scenarios. The code is publicly available at https://jingtianyan.github.io/

Yes, AI can help with programming, but ChatGPT is not ready to be your programming buddy, especially regarding securing your code. Wouldn't it be great to have an AI pair programming friend to help you secure your code? But, while GitHub CoPilot can be handy -- leaving aside whether it's ethical or legal -- AI's new darling chatbot, ChatGPT, isn't ready for programming prime-time. I'll give you that ChatGPT is going to make life much harder for high-school English teachers. Going forward, anyone who assigns a homework paper on To Kill a Mockingbird will be much more likely to get an AI-written document than any real student thought about the literary masterpiece. But programming, especially secure programming, that's another story.

Released by OpenAI, a San Francisco-based company, ChatGPT can write essays, come up with scripts for TV shows, answer math questions and even write code. ChatGPT has inspired awe, fear, stunts and attempts to circumvent its guardrails. The chatbot is suddenly everywhere. Who should decide how it's built? And what could go right?

The Daily is made by Lisa Tobin, Rachel Quester, Lynsea Garrison, Clare Toeniskoetter, Paige Cowett, Michael Simon Johnson, Brad Fisher, Chris Wood, Jessica Cheung, Stella Tan, Alexandra Leigh Young, Lisa Chow, Eric Krupke, Marc Georges, Luke Vander Ploeg, M.J. Davis Lin, Dan Powell, Dave Shaw, Sydney Harper, Robert Jimison, Mike Benoist, Liz O. Baylen, Asthaa Chaturvedi, Rachelle Bonja, Diana Nguyen, Marion Lozano, Corey Schreppel, Anita Badejo, Rob Szypko, Elisheba Ittoop, Chelsea Daniel, Mooj Zadie, Patricia Willens, Rowan Niemisto, Jody Becker, Rikki Novetsky, John Ketchum, Nina Feldman, Will Reid, Carlos Prieto, Sofia Milan, Ben Calhoun and Susan Lee. Our theme music is by Jim Brunberg and Ben Landsverk of Wonderly.

Allow me for a moment to discuss a new poem that has the potential to be a classic: "An Ode to the Infield Fly Rule." An esoteric baseball regulation, the infield fly rule is designed to prevent infielders from dropping pop flies intentionally to enable cheap double plays. I suspect that this might be the first poem ever written on this important topic. "Oh Infield Fly Rule, thou art a treasure A beacon of fair play beyond measure We thank thee for thy guidance and thy grace In the great game of baseball, thou dost hold a special place."

Without a body to show in the 1996 San Luis Obispo cold case, the prosecution concluded its presentation in the Kristin Smart murder trial with a sexually explicit screenshot of another woman with a red ball gag in her mouth on the accused killer Paul Flores' San Pedro bed. The image came from Paul Flores' computer, experts testified. Judge Jennifer O'Keefe on Tuesday instructed Monterey County jurors that it was only to be considered as corroborating evidence to a single detail from the testimonies of two women who told the panel they were raped by Flores and that he owned a red ball gag. One warm Friday night in late spring 10 years ago, Kristin Denise Smart and three other young women started walking from their dorms at Cal Poly San Luis Obispo. Jurors had already heard those women testify that the man last seen walking with Kristin Smart on the Cal Poly San Luis Obispo campus on May 25, 1996, before she vanished, sexually assaulted them in Los Angeles separately in 2008 and 2011.

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