Get Ready for the Next Event. Look when it's starts

New Jersey Devils vs. Anaheim Ducks

American Express, Visa, Mastercard, Discover Tickets purchased in person at the box office are sent via text message at the windows. (973) 757-6000 The Prudential Center Box Office is located inside the arena near the corner of Mulberry Street and Edison Place. Guests can enter from the corner of Mulberry Street and Edison Place, next to the Investors Bank Tower. The Box Office is open Monday through Friday: 11am to 5pm. We are closed each Saturday and Sunday, with the exception of an event on one of those days, in which case we will open at 11am. Please visit www.prucenter.com/box-office for more information, or adjusted hours. Accessible seating is available through Ticketmaster. Please visit ticketmaster.com to purchase accessible seating.

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Minnesota Wild vs. Boston Bruins

Cash, Visa, Mastercard, Discover, American Express. Will Call windows open 90 minutes prior to the event and will remain open through the second period for Minnesota Wild games. Will Call is located in the main lobby of Gate 1 at Xcel Energy Center. Tickets are released only to the person whose name appears on the Ticketmaster account or will call envelope. No one will be given tickets designated for another person. Proper photo identification is required, and purchasing credit card, if applicable. A signature from the person authorized to pick up the tickets will be obtained at the time of pick up. Box office phone: (651) 726-8240 Minnesota Wild group sales: (651) 222-WILD Group sales for other events: 651-312-3486 Box office fax: (651) 726-8246 Internet web site: www.xcelenergycenter.com Internet e-mail: info@xcelenergycenter.com Regular Box Office Hours (September - April) Monday - Saturday: 10:00 AM - 6:00 PM Sunday: Closed, except for events (opens 4 hours prior to the event start time) and on sales (open for on sale time only) Summer Box Office Hours (May - August) Monday - Friday: 10:00 AM - 6:00 PM Saturday & Sunday: Closed, except for events (opens 4 hours prior to the event start time) and on sales (open for on sale time only) Based on the Xcel Energy Center event schedule, closing times may be extended. The box office may be closed on holidays. Accommodations include accessible parking and drop-off areas, elevators, escalators, wheelchair accessible seating with excellent sightlines, accessible restrooms. ASL interpreters are provided upon advance request. Assisted listening devices are available, as well as Braille and large print programs upon request. There is elevator access to every level of the arena.

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Triple S 10th Year Anniversary!

VROOM VROOM!!!!! Life ain't always beautiful, but it's a beautiful ride.  Never ride a motorcycle in stilettos and a miniskirt. WELCOME LINE DANCERS!! Our 1yr break is over and we are back to continue to WOW you! So bring YO bad A$$  out and party with us!!.     FAQs   How can I contact the organizer with any questions? ssslyders2014@gmail.com   What's the refund policy? NO REFUND! If you are unable to come, please find another line dancer to take your place.  What can I bring into the event? NO FOOD ALLOWED! NO FOOD ALLOWED!!  

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Harry Potter and the Cursed Child - Parts 1 & 2 Weds 14:00 & 19:30

Tickets left at the box office for collection may be picked up on the day, during the hour before the performance starts. Please take the credit card used to make the booking and the Ticketmaster booking reference number as proof of purchase. Ticketmaster UK: 0870 154 40 40, International: 00 44 161 385 3500 Monday - Saturday 10:00 - 18:00 and occasionally on Sunday. Infra red hearing system with no deposit required. For special needs seating please call 0844 412 4648. Disabled toilet situated in the rear Stalls with ground level access There is no limit to the amount of Guide Dogs (within reason of course)

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Voici le moment tant espéré… !!! Crédit entre particulier rapide et fiable en 72h

Vous êtes un chef d'entreprise, Un père de famille, Une mère de famille , vos demandes de prêt ont été rejeté par vos Banque,un projet en tête ? Concrétisez-le rapidement. Quelles que soient vos envies : un événement particulier, un voyage, une nouvelle voiture... Je vous offre la possibilité de réaliser chacun de vos projets et/ou de simplifier votre budget. En effet, je suis un particulier et j’octroie de crédit à toute personne en besoin de financement. Je fais aussi des investissements et des prêts entre particuliers de toutes sortes. J’offre des crédits à court, moyen et long terme. Pour toute demande, veuillez me contacter directement à mon adresse E-mail : vangadasslom@gmail.com N’hésitez plus et faites appel à mes services, vous ne serez pas déçu ! Mr Frédéric Eddy VINGADASSALOM"

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Dallas Cowboys vs. Arizona Cardinals

Cash, MC, Visa, Amex Will Call Will Call is available at AT&T Stadium Ticket Office locations at Entry A on the northeast side of the stadium and at Entry F on the southwest side of the stadium. Will Call ticket windows open three (3) hours prior to most events. To claim tickets at Will Call, a photo ID and the credit card used to purchase the tickets must be presented. For Cowboys games, only the account holder of record may pick up tickets. A person other than the account holder may pick up tickets from Will Call provided that they present written and signed authorization from the account holder along with a copy of the account holder's photo ID. AT&T Stadium Ticket office: (817) 892-5000 AT&T Stadium/Art Tours Ticket Office: (817) 892-8687 9-5 Monday-Thursday, and 9-4 Friday Accessible Seating in all levels of the venue. ADA/Accessibility AT&T Stadium is committed to guests with disabilities. Our facilities are fully accessible and we provide a wide range of services and amenities for guests with special needs. AT&T Stadium is designed with accessible parking, accessible vehicle drop off areas, power assisted doors, restrooms, concessions, water fountains, ATMs, and seating areas. Guests can receive more information by visiting one of our Guest Services Centers located on the concourse behind Sections 219, 244, 420 and 451 or at a Concierge desk located on the club and suite levels. In order to provide maximum flexibility in our wheelchair accessible seating areas, folding chairs will be provided for companion seating. ADA Ticket Fraud ADA ticket fraud includes, but is not limited to, the misrepresentation of a disability. Management reserves the right to take appropriate action regarding misrepresentation, which may result in relocation, revocation of tickets or ejection. Wheelchairs A limited number of wheelchairs are available for transporting guests from the gates to their stadium seating location. Guests are asked to supply their own wheelchair if they need one for the duration of the event. Guests may arrange for wheelchair assistance by contacting an event staff member at any entrance. In addition, wheelchair escort reservations can be made, in advance, by calling the Guest Services Hotline at (817) 892-4161. Guests needing assistance after the event should contact an event staff member, security personnel or visit one of the Guest Services Centers located on the concourse behind Sections 219, 244, 420 and 451. Guests in suite and club areas should contact the Concierge desk on their level to request a wheelchair escort or additional assistance. HEARING IMPAIRED PATRONS -------------------------------------- - Sell Regular Seating - Hearing Impaired Devices and Information Available at Guest Services Centers Located at Sections 219, 244, 420, and 451 or at a Concierge Desk on the Club and Suite Levels

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Silvester im Cubix am Alexanderplatz Berlin 2019/2020

SILVESTER 2019 / 2020 DAS SILVESTER-HIGHLIGHT IN BERLIN-MITTE Dienstag • 31.12.2018 • ab 20.30 Uhr* Zum neunten Mal findet zum Jahreswechsel 2019 / 2020 in Berlin-Mitte ein absolutes Party-Highlight statt. Ab 20:30 Uhr * gibt es im CUBIX am Alexanderplatz eine exklusive Silvesterparty mit 4 DJ`s auf 2 Dancefloors mit House, R,N,B Black Music, Disco Classics, 80er, 90er, Silvester Hits, Electro und das Beste von heute. FACTS: Beginn: 20:30 Uhr mit Tischreservierung 21:30 Uhr ohne Tischreservierung Tickets im Vorverkauf für Frühbucher (Early Bird Tickets 15€) und an der Abendkasse (25€) www.carambar.de/silvester Party on 2 Dancefloors: House • Finest RnB • Party Classics • Disco Classics • 70s / 80s / 90s & das Beste von heute keine Sitzplatzgarantie Tischreservierungen (nur buchbar wenn bereits Tickets gekauft wurden) 1. Ticket kaufen 2. auf den Namen einen Tisch für alle buchen: Tel. 030 – 287 076 84 Silvester-Specials: + 180° Panoramablick auf den Fernsehturm + Party on 2 Dancefloors + Silvester Countdown um 24 Uhr + ChillOut-Lounge + Vip Bereich Location: Carambar Rathausstraße 1 10178 Berlin direkt am CUBIX Cinestar S- und U-Bahnhof Alexanderplatz

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2023 49ers Training Camp - August 5th

Visa, American Express, Mastercard Will Call tickets may be picked up at the Visa Box Office at Levi's® Stadium. The Will Call windows open three (3) hours prior to the event. Will call tickets can be claimed only by the person whose name appears on the Will Call envelope. Government issued photo identification is required. ***** Bag Policy - All Events ***** In compliance with the NFL's Bag Policy, Levi's® Stadium prohibits all bags, backpacks and other carriers from being brought into the stadium with the following exceptions: NFL approved clear plastic bags (12 x 6 x 12) One gallon clear plastic zip lock type bags Small Clutch Bag (the size of an adult hand) (4.5 x 6.5) All approved bags are subject to inspection upon entry and are subject to additional inspections within the stadium. 415-GO-49ERS (415-464-9377) 9AM to 5PM Monday through Friday, Accessible seating for patrons requiring wheelchair access is available with up to 3 companions. FOR ALL OTHER ACCESSIBLE AND LIMITED MOBILITY CONCERNS, PLEASE CALL (415) 467-9377

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Chulalongkorn Uni: Intro to Deep Learning with NVIDIA GPU in Computer Vision

A COLLABORATION WITH CHULALONGKORN UNIVERSITY Computer Vision - Workshop Dates: DEC 18 - 20 (3 days)   *OPEN FOR REGISTRATION Language of Conduct:Thai language & English Materials Course Fee:Regular Price : USD900 Early bird for corporate : USD600 (by July 1st , 2019)Early bird for academic : USD550 (by July 1st , 2019)Price EXCLUDES 7% VAT. Full price will be included in the ticket.  *Academic tickets MUST be purchased and proven with a EDU/University email!  HOW TO REGISTER: 1. To register directly with iTrain Asia, please email your details to info@itrainasia.com2. Via Eventbrite registration page*Please note that Eventbrite charges apply  PAYMENT METHODS: 1. Via Eventbrite by PayPal/Credit Card (please note that Eventbrite charges will apply) 2. To make direct payment transfer, please transfer to the following account and kindly SEND YOUR FULL NAME & RECEIPT upon successful payment:   Please key in the price  Please email your receipt/proof of payment to yana@itrainasia.com Pre-requisites Must have technical knowledge in R and Python, understand basic Data Science, Machine Learning and AI algorithms, familiarity with basic programming fundamentals such as functions and variables Your Certificate You will receive an e-Certificate by NVIDIA Deep Learning Institute upon completion. About the Course This workshop teaches you to apply deep learning techniques to a range of computer vision tasks through a series of hands-on exercises. You will work with widely-used deep learning tools, frameworks, and workflows to train and deploy neural network models on a fully-configured, GPU accelerated workstation in the cloud. After a quick introduction to deep learning, you will advance to building and deploying deep learning applications for image classification and object detection, followed by modifying your neural networks to improve their accuracy and performance, and finish by implementing the workflow that you have learned on a final project. At the end of the workshop, you will have access to additional resources to create new deep learning applications on your own. Learn the latest techniques on how to design, train, and deploy neural network-powered machine learning in your applications. You’ll explore widely used open-source frameworks and NVIDIA’s latest GPU-accelerated deep learning platforms.  DLI Workshop Attendee Instructions:  You MUST bring your own laptop to this workshop. WHAT YOU WILL LEARN Course Outline Introduction to Deep Learning with NVIDIA GPU in Computer Vision   3 days from 9AM - 4:30PM DAY 1 - (DEC 18, 2019) Platform: Keras on Google Colab Prerequisite: Python programming What is Deep Learning and what are Neural Networks? (90 mins) [Lecture] Basics of Deep Learning Training a Neural Network Practical session I (90 mins) [Lab] Create a Neural Network in Python Introduction to convolution neural networks and recurrent neural networks (90 mins) [Lecture] Intuition and building blocks Types of convolutional neural networks Types of recurrent neural networks Practical session II (60 mins) [Lab] Convolutional Neural Networks and Recurrent Neural Networks Tips and tricks to training a neural network model (30 mins) [Lecture] DAY 2 [DLI]  (DEC 19, 2019) Platform: DIGITS NVIDIA Deep Learning Institute Fundamentals Training Pre-requisite: MUST have technical background and basic understanding of Deep Learning concepts Certificate: Participants will receive an e-certificate from Deep Learning Institute Image Classification with DIGITS (120 min) How to leverage deep neural networks (DNN) within the deep learning workflow Process of data preparation, model definition, model training and troubleshooting, validation testing and strategies for improving model performance using GPUs. Train a DNN on your own image classification application Object Detection with DIGITS (120 min) Train and evaluate an image segmentation network Neutral Network Deployment with DIGITS and TensorRT (120 min) Uses a trained DNN to make predictions from new data Show different approaches to deploying a trained DNN for inference learn about the role of batch size in inference performance as well as virus optimisations that can be made in the inference process   DAY 3 (DEC 20, 2019)   Intelligent Video Analytics with Deep Learning Platform: Keras on Google Colab Prerequisite: Python programming & 1st training day Overview of Architectures for Computer Vision (90 min) Lab 1: Image classification with Keras (60 min)   Deployment with Deepstream and TensorRT (30 min) Lab 2: Deployment for classification and detection tasks (30 min)   Transfer learning techniques (30 min) Lab 3-1: Model adaptation (30 min) Lab 3-2: Advanced techniques for adaptation (30 min)   Video action recognition (15 min) Lab 4: Video action recognition (30 min) Jetson Demo: deployment on Jetson (15 min) ABOUT YOUR TRAINERS: PROF. EKAPOL CHUANGSUWANICH, Ph.D. Ekapol Chuangsuwanich is a Faculty Member in the Department of Computer Engineering at Chulalongkorn University. He received the B.S. and S.M. degree in Electrical and Computer Engineering from Carnegie Mellon University in 2008 and 2009, respectively. He then joined the Spoken Language Systems Group at MIT Computer Science and Artificial Intelligence Laboratory. He received his Ph.D. degree in 2016 from MIT. His thesis work was on low-resource automatic speech recognition and representation learning using neural networks, which was part of the system that won Babel open keyword spotting challenge in 2016. With his expertise in multimedia retrieval, he is also one of the founding members of SmartVid.io, a startup working on organizing videos and images for the construction industry. In 2017, SmartVid.io was a runner-up in NVIDIA's Inception competition for AI startups. PROF. PEERAPON VATEEKUL, Ph.D. Peerapon Vateekul received his Ph.D. degree from Department of Electrical and Computer Engineering, University of Miami (UM), Coral Gables, FL, U.S.A. in 2012. Currently, he is an assistant professor at Department of Computer Engineering, Faculty of Engineering, Chulalongkorn University, Thailand. Also, he is a deputy head of the department in academic affairs. His research falls in the domain of machine learning, data mining, deep learning, text mining, and big data analytics. To be more specific, his works include variants of classification (hierarchical multi-label classification), data quality management, and applied deep learning techniques in various domains, such as, medicinal images and videos, satellite images, meteorological data, and text.

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