|
gptkbp:instance_of
|
gptkb:Laboratory_Services
gptkb:scientific_experiments
gptkb:amusement_park
gptkb:Accelerator
gptkb:computer
gptkb:character
|
|
gptkbp:acceleration
|
training times
inference times
|
|
gptkbp:achieves_energy
|
up to 13 Te V
|
|
gptkbp:addresses
|
Global challenges
|
|
gptkbp:affiliation
|
gptkb:Level_5
|
|
gptkbp:aims_to
|
Foster innovation ecosystems
Enhance governance
Strengthen local capacities
Improve service delivery
Enhance resilience
Transformative change
Accelerate development solutions
Enhance local solutions
|
|
gptkbp:analyzes
|
Policy impacts
|
|
gptkbp:available_at
|
Multiple Vendors
|
|
gptkbp:can_be_combined_with
|
gptkb:FPGA
|
|
gptkbp:can_be_configured_for
|
gptkb:Tensor_RT
gptkb:CUDA
|
|
gptkbp:can_be_used_in
|
gptkb:Artificial_Intelligence
|
|
gptkbp:capacity
|
1200 riders per hour
|
|
gptkbp:challenges
|
gptkb:physicists
funding issues
understand
technical difficulties
|
|
gptkbp:collaborated_with
|
universities
|
|
gptkbp:collaborates_with
|
Academia
Local governments
|
|
gptkbp:collides_particles
|
gptkb:protons
|
|
gptkbp:community_outreach
|
educational initiatives
|
|
gptkbp:conducts
|
gptkb:Workshops
gptkb:research
Impact assessments
Workshops on innovation
Evaluation studies
|
|
gptkbp:debut_year
|
gptkb:2005
|
|
gptkbp:design
|
custom layout
|
|
gptkbp:designed_for
|
gptkb:Deep_Learning
deep learning tasks
|
|
gptkbp:detects_particles
|
gptkb:Higgs_boson
|
|
gptkbp:developed_by
|
gptkb:NVIDIA
Machine Learning Techniques
Specific Applications
Various Companies
Advanced Algorithms
|
|
gptkbp:develops
|
Innovative solutions
Prototypes
Collaborative projects
Strategic frameworks
|
|
gptkbp:duration
|
2 minutes
3 months
|
|
gptkbp:enables
|
real-time inference
|
|
gptkbp:encourages
|
Entrepreneurship
|
|
gptkbp:ended
|
gptkb:2022
|
|
gptkbp:enemy
|
gptkb:Academy_City
|
|
gptkbp:engages_in
|
gptkb:Community_outreach
Capacity building
Networking events
Public consultations
Strategic partnerships
Pilot projects
Field testing
|
|
gptkbp:enhances
|
Model Accuracy
machine learning performance
|
|
gptkbp:established_in
|
gptkb:2019
|
|
gptkbp:facilitates
|
Access to funding
Knowledge sharing
|
|
gptkbp:features
|
launch coaster
|
|
gptkbp:focus
|
gptkb:technology
Entrepreneurship
|
|
gptkbp:focuses_on
|
gptkb:Innovation
Scalability
Data analytics
Social innovation
|
|
gptkbp:fosters
|
gptkb:collaboration
|
|
gptkbp:founded_by
|
gptkb:Jared_Polis
gptkb:David_Cohen
gptkb:Brad_Feld
|
|
gptkbp:gender
|
gptkb:true
|
|
gptkbp:has_ability
|
Vector Manipulation
|
|
gptkbp:has_alumni
|
gptkb:Pill_Pack
gptkb:Saa_SOptics
gptkb:Zapier
gptkb:Toggl
gptkb:Full_Contact
gptkb:Digital_Ocean
gptkb:Pivotal_Tracker
gptkb:Wistia
gptkb:Spreedly
gptkb:Brew_Dog
gptkb:Gimlet_Media
gptkb:Sift_Science
gptkb:Panda_Doc
gptkb:Zocdoc
gptkb:Sphero
gptkb:Trello
gptkb:Send_Grid
gptkb:Unbounce
gptkb:Class_Pass
gptkb:Plated
gptkb:Tandem_Diabetes
Pillow
Zylo
Pry Financials
Localytics
Swell Investing
|
|
gptkbp:has_appearance
|
White hair
|
|
gptkbp:has_appearance_in
|
gptkb:A_Certain_Magical_Index
|
|
gptkbp:has_backstory
|
Experimented on to become the strongest
|
|
gptkbp:has_conflict_with
|
gptkb:Misaka
|
|
gptkbp:has_fan_base
|
Large fanbase
|
|
gptkbp:has_goal
|
Defeat Misaka
|
|
gptkbp:has_impact_on
|
gptkb:Physics
gptkb:cosmology
|
|
gptkbp:has_merchandise
|
Figures and collectibles
|
|
gptkbp:has_relationship_with
|
Other Level 5 Espers
|
|
gptkbp:has_student_body
|
gptkb:Academy_City
|
|
gptkbp:has_theme
|
Redemption and power
|
|
gptkbp:height
|
54 inches
100 feet
|
|
gptkbp:historical_event
|
modern physics
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Accelerator
|
|
gptkbp:improves
|
Computational Efficiency
computational efficiency
|
|
gptkbp:includes
|
gptkb:TPUs
GPUs
|
|
gptkbp:innovation
|
technology development
|
|
gptkbp:integrates_with
|
GPUs
|
|
gptkbp:inversions
|
gptkb:0
|
|
gptkbp:investment
|
$120,000
|
|
gptkbp:is_a
|
Level 5 esper
|
|
gptkbp:is_a_key_component_of
|
AI systems
|
|
gptkbp:is_analyzed_in
|
data scientists
|
|
gptkbp:is_anticipated_by
|
future discoveries
|
|
gptkbp:is_associated_with
|
dark matter research
quark-gluon plasma research
supersymmetry research
extra dimensions research
|
|
gptkbp:is_available_in
|
data centers
edge devices
|
|
gptkbp:is_based_on
|
parallel processing architecture
|
|
gptkbp:is_beneficial_for
|
Big Data Processing
|
|
gptkbp:is_celebrated_in
|
enthusiasts
science festivals
|
|
gptkbp:is_character_in
|
gptkb:Toaru_Majutsu_no_Index
gptkb:Toaru_Series
|
|
gptkbp:is_collaborative_with
|
gptkb:international_collaboration
|
|
gptkbp:is_compared_to
|
GPUs
traditional CPUs
|
|
gptkbp:is_compatible_with
|
Various Programming Languages
various frameworks
|
|
gptkbp:is_considered
|
AI strategy planning
|
|
gptkbp:is_considered_as
|
specialized hardware
|
|
gptkbp:is_criticized_for
|
skeptics
|
|
gptkbp:is_designed_for
|
high-performance computing
|
|
gptkbp:is_designed_to
|
in cycles
|
|
gptkbp:is_discussed_in
|
conferences
|
|
gptkbp:is_documented_in
|
gptkb:documentaries
CERN publications
|
|
gptkbp:is_evaluated_by
|
Energy Efficiency
Performance Metrics
peer review
User Feedback
performance metrics
Benchmark Tests
Cost-Effectiveness
energy efficiency
performance efficiency
cost-effectiveness
benchmark tests
|
|
gptkbp:is_featured_in
|
Anime adaptations
|
|
gptkbp:is_friend_of
|
gptkb:Last_Order
|
|
gptkbp:is_funded_by
|
gptkb:European_Union
|
|
gptkbp:is_influenced_by
|
Open Source Projects
Technological Advances
|
|
gptkbp:is_influential_in
|
science policy
|
|
gptkbp:is_integrated_with
|
Software Frameworks
AI frameworks
|
|
gptkbp:is_involved_in
|
Major battles in Toaru Series
|
|
gptkbp:is_known_for
|
Being the strongest esper
Fight against Misaka
|
|
gptkbp:is_located_at
|
gptkb:Knott's_Berry_Farm
|
|
gptkbp:is_located_in
|
gptkb:Geneva,_Switzerland
|
|
gptkbp:is_monitored_by
|
gptkb:scientists
|
|
gptkbp:is_motivated_by
|
gptkb:Survival
|
|
gptkbp:is_optimized_for
|
Matrix Operations
AI workloads
|
|
gptkbp:is_part_of
|
gptkb:AI_Research
gptkb:virtual_reality
gptkb:Digital_Transformation
gptkb:Edge_Computing
gptkb:Toaru_Series
gptkb:Io_T_solutions
gptkb:AI_technology
AI Ecosystem
Smart Devices
AI research initiatives
AI development tools
NVIDIA's product line
AI hardware solutions
LHC project
NVIDIA's hardware ecosystem
Group of Level 5 Espers
|
|
gptkbp:is_popular_in
|
Anime community
|
|
gptkbp:is_portrayed_as
|
gptkb:antagonist
|
|
gptkbp:is_promoted_by
|
gptkb:NVIDIA
science communicators
|
|
gptkbp:is_recognized_by
|
gptkb:Fans
|
|
gptkbp:is_respected_by
|
gptkb:scientific_community
|
|
gptkbp:is_scalable
|
large datasets
|
|
gptkbp:is_subject_to
|
Market Trends
Regulatory Standards
Thermal Management
Supply Chain Dynamics
|
|
gptkbp:is_supported_by
|
gptkb:governments
gptkb:international_treaties
Community Contributions
software libraries
|
|
gptkbp:is_targeted_at
|
gptkb:developers
data scientists
machine learning engineers
|
|
gptkbp:is_used_by
|
research institutions
tech companies
|
|
gptkbp:is_used_for
|
gptkb:speeches
Data Analysis
Fraud Detection
Image Recognition
Recommendation Systems
Predictive Modeling
model training
model inference
testing theories
|
|
gptkbp:is_used_in
|
gptkb:Autonomous_Vehicles
gptkb:Computer_Vision
gptkb:Natural_Language_Processing
gptkb:Telecommunications
gptkb:vehicles
gptkb:cloud_computing
gptkb:financial_services
gptkb:robotics
Research Institutions
Data Centers
Energy Sector
image processing
Gaming Industry
Healthcare Applications
Smart Cities
natural language processing
|
|
gptkbp:is_utilized_in
|
gptkb:cloud_computing
big data analytics
|
|
gptkbp:location
|
gptkb:Boulder,_Colorado
Various countries
|
|
gptkbp:maintenance
|
seasonal inspections
|
|
gptkbp:major_attraction
|
gptkb:Knott's_Berry_Farm
|
|
gptkbp:manufacturer
|
gptkb:Intamin
gptkb:NVIDIA
|
|
gptkbp:max_gforce
|
4.5 G
|
|
gptkbp:notable_rider
|
high
accelerated coaster
top 5 at Knott's Berry Farm
|
|
gptkbp:number_of_tracks
|
gptkb:3
gptkb:6
2,800 feet
|
|
gptkbp:offers
|
Mentorship
Networking opportunities
Funding
Training programs
|
|
gptkbp:opened
|
gptkb:2005
|
|
gptkbp:opening_date
|
May 2005
|
|
gptkbp:operated_by
|
gptkb:UNDP
gptkb:CERN
|
|
gptkbp:outcome
|
new particles
|
|
gptkbp:parks
|
Boardwalk area
|
|
gptkbp:passenger_capacity
|
2
high capacity
|
|
gptkbp:promotes
|
gptkb:Sustainability
gptkb:Partnerships
Digital transformation
Inclusive development
Knowledge innovation
|
|
gptkbp:provides
|
gptkb:Resources
Mentorship
Advisory services
Technical assistance
high throughput
Capacity development programs
|
|
gptkbp:provides_information_on
|
collision events
|
|
gptkbp:public_access
|
data sets
|
|
gptkbp:public_interest
|
high
|
|
gptkbp:purpose
|
particle physics research
|
|
gptkbp:queue_type
|
switchback
|
|
gptkbp:reduces
|
Training Time
power consumption
|
|
gptkbp:related_vehicle
|
gptkb:Intamin_Amusement_Rides
trains
available at park gift shops
|
|
gptkbp:reported_by
|
gptkb:academic_journals
|
|
gptkbp:requires
|
gptkb:power_adapter
|
|
gptkbp:requires_cooling
|
liquid helium
|
|
gptkbp:research
|
gptkb:LHCb
gptkb:ALICE
gptkb:ATLAS
gptkb:CMS
|
|
gptkbp:ride_events
|
special events during summer
|
|
gptkbp:ride_experience
|
gptkb:none
thrill ride
daily checks
accessible to guests with disabilities
Intamin's design team
fast-paced racing experience
launch from 0 to 82 mph in 2.3 seconds
part of Knott's Berry Farm since 2005
|
|
gptkbp:ride_launch_mechanism
|
linear synchronous motor
|
|
gptkbp:ride_photography
|
on-ride photo available
|
|
gptkbp:ride_season
|
operates year-round
|
|
gptkbp:rival
|
gptkb:Misaka
|
|
gptkbp:safety_features
|
lap bar restraints
|
|
gptkbp:safety_measures
|
radiation shielding
|
|
gptkbp:speed
|
82 mph
|
|
gptkbp:started_in
|
gptkb:2008
|
|
gptkbp:support
|
Real-Time Processing
|
|
gptkbp:supports
|
gptkb:neural_networks
Policy development
Research initiatives
Community initiatives
AI applications
Social enterprises
Local entrepreneurs
Sustainable development goals
|
|
gptkbp:theme
|
racing
|
|
gptkbp:theming
|
gptkb:sports_car
|
|
gptkbp:type
|
gptkb:Accelerator
steel coaster
|
|
gptkbp:uses
|
gptkb:neural_networks
Agile methodologies
|
|
gptkbp:uses_technology
|
superconducting magnets
|
|
gptkbp:utilizes
|
Parallel Processing
User-centered design
Data-driven approaches
|
|
gptkbp:works_with
|
Local communities
Startups
Private sector
International organizations
Civil society organizations
Technology providers
|
|
gptkbp:bfsParent
|
gptkb:Stanford_Linear_Accelerator_Center
gptkb:SLAC_National_Accelerator_Laboratory
gptkb:Mastercard
gptkb:Google_Brain
gptkb:Stanford_Linear_Collider
|
|
gptkbp:bfsLayer
|
4
|