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Colts delete controversial schedule-release video, say Microsoft rights were violated

FOX News

Emmanuel Acho, LeSean McCoy, James Jones and Chase Daniel react to the NFL's announcement of the Philadelphia Eagles hosting the Dallas Cowboys to kick off the 2025 NFL season. The Indianapolis Colts came under fire on Wednesday night for a since-deleted social media video that was intended to creatively reveal the team's 2025 game schedule. The clip, which was animated in the style of the Microsoft-owned video game Minecraft, opened with a segment previewing the team's Week 1 game against the Miami Dolphins. In it, Dolphins star Tyreek Hill was depicted as a dolphin and was then approached by a Coast Guard boat blaring a police siren, with a police officer glaring at Hill. Hill was arrested in September in a widely publicized controversy that featured bodycam footage of the wide receiver being pinned to the ground by police while put in handcuffs.


Amazon Pharmacy now offers medicine delivery 'within hours' in two more US cities

ZDNet

If you don't feel like running out to a store to get medicine the next time you're sick, you may be able to get the supplies you need just as fast from Amazon Pharmacy. Amazon customers in two more cities will now be able to get medicine delivered to their door "within hours," the company says, in what it hopes will be "the fastest and most convenient service for the home delivery of prescription medications." Starting today, the service is available in New York and Los Angeles. More than a dozen cities will have access by the end of the year. Amazon didn't name those cities but did point out that customers in Austin, Indianapolis, Miami, Phoenix, and Seattle already have access to same-day delivery, while customers in College Station, Texas, can get their medications delivered in under an hour via drone.


Amazon Pharmacy launches same-day prescription delivery in New York and LA

Mashable

Amazon Pharmacy is expanding its services, now offering same-day delivery for prescriptions in New York and Los Angeles. The company, which launched its online pharmacy in 2020, announced that the service is rolling out in New York City and the greater Los Angeles area. Customers who require medication to treat "common conditions", like the flu, high blood pressure, diabetes, can access the service to have the medication delivered within hours. The service has already been available in select U.S. cities since October, available to customers in Seattle, Miami, Indianapolis, Phoenix, and Austin. Those in College Station, Texas are able to have prescriptions delivered via drone within an hour of placing an order. Amazon plans to roll out same-day delivery to a dozen other cities in the country over the next year.


Model Parameter Identification via a Hyperparameter Optimization Scheme for Autonomous Racing Systems

arXiv.org Artificial Intelligence

In this letter, we propose a model parameter identification method via a hyperparameter optimization scheme (MI-HPO). Our method adopts an efficient explore-exploit strategy to identify the parameters of dynamic models in a data-driven optimization manner. We utilize our method for model parameter identification of the AV-21, a full-scaled autonomous race vehicle. We then incorporate the optimized parameters for the design of model-based planning and control systems of our platform. In experiments, MI-HPO exhibits more than 13 times faster convergence than traditional parameter identification methods. Furthermore, the parametric models learned via MI-HPO demonstrate good fitness to the given datasets and show generalization ability in unseen dynamic scenarios. We further conduct extensive field tests to validate our model-based system, demonstrating stable obstacle avoidance and high-speed driving up to 217 km/h at the Indianapolis Motor Speedway and Las Vegas Motor Speedway. The source code for our work and videos of the tests are available at https://github.com/hynkis/MI-HPO.


Data Architect, Internal IT (Remote in US) at Resultant - Indianapolis, IN, United States

#artificialintelligence

Resultant is a modern consulting firm with a radically different approach to solving problems. We don't solve problems for our clients. We solve problems with them. Through outcomes driven by data analytics, technology solutions, digital transformation, and beyond, our team works with clients in both the public and private sectors to solve their most complex challenges. We start by learning as much as we can about who they are, how they work, and what they're striving for so we can feel their problems as our own.


TUM autonomous motorsport: An autonomous racing software for the Indy Autonomous Challenge

arXiv.org Artificial Intelligence

For decades, motorsport has been an incubator for innovations in the automotive sector and brought forth systems like disk brakes or rearview mirrors. Autonomous racing series such as Roborace, F1Tenth, or the Indy Autonomous Challenge (IAC) are envisioned as playing a similar role within the autonomous vehicle sector, serving as a proving ground for new technology at the limits of the autonomous systems capabilities. This paper outlines the software stack and approach of the TUM Autonomous Motorsport team for their participation in the Indy Autonomous Challenge, which holds two competitions: A single-vehicle competition on the Indianapolis Motor Speedway and a passing competition at the Las Vegas Motor Speedway. Nine university teams used an identical vehicle platform: A modified Indy Lights chassis equipped with sensors, a computing platform, and actuators. All the teams developed different algorithms for object detection, localization, planning, prediction, and control of the race cars. The team from TUM placed first in Indianapolis and secured second place in Las Vegas. During the final of the passing competition, the TUM team reached speeds and accelerations close to the limit of the vehicle, peaking at around 270 km/h and 28 ms2. This paper will present details of the vehicle hardware platform, the developed algorithms, and the workflow to test and enhance the software applied during the two-year project. We derive deep insights into the autonomous vehicle's behavior at high speed and high acceleration by providing a detailed competition analysis. Based on this, we deduce a list of lessons learned and provide insights on promising areas of future work based on the real-world evaluation of the displayed concepts.


FedEx, UPS warn mail delivery could be interrupted by winter storm as driver safety takes priority

FOX News

Fox News correspondent Mike Tobin reports that severe weather disrupts travel plans ahead of the holidays on'Special Report.' FedEx and UPS announced mail delivery could be interrupted by the massive winter storm moving across the U.S. after key distribution hubs were blasted by the severe weather conditions. On Friday, FedEx posted a statement to its website warning those who used its Express service that the guaranteed delivery date of Dec. 26 may not be met after the Memphis and Indianapolis hubs experienced "substantial" weather disruptions. The shipping company said actions have been taken to lessen any impact on delivery, but the safety of its team members is the "number one priority." "We recognize the importance of deliveries this holiday weekend and are committed to providing service to the best of our ability by implementing contingency measures where it is safe and possible to do so," the statement read.


SceNDD: A Scenario-based Naturalistic Driving Dataset

arXiv.org Artificial Intelligence

In this paper, we propose SceNDD: a scenario-based naturalistic driving dataset that is built upon data collected from an instrumented vehicle in downtown Indianapolis. The data collection was completed in 68 driving sessions with different drivers, where each session lasted about 20--40 minutes. The main goal of creating this dataset is to provide the research community with real driving scenarios that have diverse trajectories and driving behaviors. The dataset contains ego-vehicle's waypoints, velocity, yaw angle, as well as non-ego actor's waypoints, velocity, yaw angle, entry-time, and exit-time. Certain flexibility is provided to users so that actors, sensors, lanes, roads, and obstacles can be added to the existing scenarios. We used a Joint Probabilistic Data Association (JPDA) tracker to detect non-ego vehicles on the road. We present some preliminary results of the proposed dataset and a few applications associated with it. The complete dataset is expected to be released by early 2023.


So What Was 2001: A Space Odyssey about, Really?

#artificialintelligence

Back in 1969 I finally caught 2001: A Space Odyssey in a Cinerama theater in Scottsdale, Arizona. At that point, the film had been running in that theater for over a year. I had longed to see it since its release in 1968 (I remember seeing it on the marquee of a theater in downtown Indianapolis), but when we visited relatives in Phoenix the following summer the opportunity finally presented itself. After the crescendo of its end, and the credits that ran to the tune of Johann Strauss' "The Blue Danube," I stepped out of the theater in a fog, completely stunned. From the hype I had heard about the film I was expecting something of an ambitious, up-to-date Destination Moon.