Genetic algorithm

NTHU Unveils Self-Balancing Motorcycle

Retrieved on: 
星期二, 一月 9, 2024
Motorcycles, Electronic Design Automation, Robotics, Technology, Autonomous Driving, Vehicles, Automotive, Artificial Intelligence, University, Education, Engineering, Automotive Manufacturing, Manufacturing, Genetic algorithm, Lidar, Student, Economy, Research, Multimedia, Distinguishing, AI, Carbon, NTHU, PME, Machine learning, National Tsing Hua University, Ministry, 3D printing

At National Tsing Hua University (NTHU) in Taiwan, a student team guided by Distinguished Professor Ting-Jen Yeh from the Department of Power Mechanical Engineering (PME) has created a self-balancing motorcycle using AI.

Key Points: 
  • At National Tsing Hua University (NTHU) in Taiwan, a student team guided by Distinguished Professor Ting-Jen Yeh from the Department of Power Mechanical Engineering (PME) has created a self-balancing motorcycle using AI.
  • View the full release here: https://www.businesswire.com/news/home/20240109435262/en/
    NTHU students, guided by Distinguished Professor Ting-Jen Yeh from the Department of Power Mechanical Engineering, successfully created a prototype of a self-balancing motorcycle.
  • What is difficult to believe is that this accomplishment emerged from an undergraduate capstone course within PME at NTHU.
  • Drawing inspiration from Yamaha's concept, the NTHU team used machine learning to optimize the control of the dual-steering motorcycle to achieve self-balancing.

Pioneering a Counterfeit-Free Future: Global ETS LLC's Revolutionary AI Technology Showcased at SMTA

Retrieved on: 
星期一, 十月 23, 2023
San Francisco Bay Area, Hope, Quality control, Recursive neural network, Particle swarm optimization, Artificial intelligence, CNN, Trust, IC, Risk, Rnn (software), Genetic algorithm, Classification, Electronics, Algorithm, Culture, ETS, Video game, Sales

The Surface Mount Technology Association (SMTA), a global nexus of industry professionals, champions the cause of curbing this malaise.

Key Points: 
  • The Surface Mount Technology Association (SMTA), a global nexus of industry professionals, champions the cause of curbing this malaise.
  • Global ETS LLC 's innovation is a testament to the firm's enduring commitment to elevating industry standards.
  • Amidst a backdrop where counterfeit chip detection remains a pressing challenge, Global ETS LLC technology resonated profoundly within the SMTA community.
  • Wensheng Chen from Global ETS LLC remarked, 'The response from the SMTA community to our innovative hybrid AI technology has been overwhelmingly positive.

Global Material Informatics Market Report 2023: A $275+ Million Market by 2028 - Growing Popularity of Cloud-based Data Analytics Platforms to Analyze Materials

Retrieved on: 
星期一, 三月 13, 2023
Saint Petersburg State Chemical Pharmaceutical University, Informatics, Semiconductor, USD, Chemical substance, Metal, Dye, R, Growth, Genetic algorithm, Digital, Science, Ceramic, Region, Software, Polymer, Element, Alloy

The global material informatics market is anticipated to grow from USD 129 million in 2023 to USD 276 million by 2028, at a CAGR of 16.3% from 2023 to 2028

Key Points: 
  • The global material informatics market is anticipated to grow from USD 129 million in 2023 to USD 276 million by 2028, at a CAGR of 16.3% from 2023 to 2028
    The key players in the material informatics market are Mat3ra, Schrodinger, Dassault Systemes, Citrine Informatics, Phaseshift Technologies, MaterialsZone, AI Materia, Hitachi High-Tech, and Kebotix, among several others.
  • The rising implementation of material informatics software integrated with AI/ML for materials R&D due to technological advancement and growing digitalization in several applications such as manufacturing, chemical & pharmaceutical, and materials science are some of the major factors propelling the growth of material informatics market.
  • Material informatics software is used for understanding different elements in various applications, including materials science, manufacturing, food science, energy, and others.
  • All these factors are expected to contribute to the growth of the material informatics market in North America.

ThreeDify Inc.: Visit us at PDAC 2022 Convention in Toronto this June at Booth 612

Retrieved on: 
星期四, 六月 9, 2022
Prospectors, Prospectors & Developers Association of Canada, MTCC, Organization, Metro Toronto Convention Centre, FRD, Genetic algorithm, PDAC, Association, Booth, World

Ottawa, Ontario--(Newsfile Corp. - June 9, 2022) - ThreeDify Inc. invites you to visit them at Booth #612 at The Prospectors & Developers Association of Canada Convention (PDAC) at the Metro Toronto Convention Centre (MTCC) on Monday, June 13, to Wednesday, June 15, 2022.

Key Points: 
  • Ottawa, Ontario--(Newsfile Corp. - June 9, 2022) - ThreeDify Inc. invites you to visit them at Booth #612 at The Prospectors & Developers Association of Canada Convention (PDAC) at the Metro Toronto Convention Centre (MTCC) on Monday, June 13, to Wednesday, June 15, 2022.
  • ThreeDify, an innovative mining software company, is thrilled to announce GeoMine-OreChaser, an integrated infill drilling plan optimizer for both open-pit and underground mines.
  • To see GeoMine-OreChaser in action, please visit us at Exhibitor Booth #612.
  • The World's Premier Mineral Exploration & Mining Convention is the leading convention for people, governments, companies and organizations connected to mineral exploration.

Nexen Tire develops tire performance prediction system using AI technology

Retrieved on: 
星期二, 二月 15, 2022
Sport utility vehicle, Czech Republic, Learning, AI, UniverCity, Virtual product development, Company, Genetic algorithm, Hanyang University, RE, Noise, THE, Nexen Tire, Forecasting, Korea University, OE, Machine learning, FEA, Samsung R&D Institute India, Bangalore, Artificial intelligence, Finite element method, GLOBE, Tire manufacturing, Medical device

SEOUL, South Korea, Feb. 15, 2022 (GLOBE NEWSWIRE) -- Nexen Tire, a leading global tire manufacturer, stated today that it has developed an Artificial Intelligence (AI)-based tire performance prediction system.

Key Points: 
  • SEOUL, South Korea, Feb. 15, 2022 (GLOBE NEWSWIRE) -- Nexen Tire, a leading global tire manufacturer, stated today that it has developed an Artificial Intelligence (AI)-based tire performance prediction system.
  • By establishing a tire performance prediction system using AI technology, the Company explained that it will use a machine learning technology in the concept design stage to precisely and rapidly anticipate the primary performance indicators such as fuel efficiency, noise, handling process, etc.
  • With the newly developed tire performance prediction system using AI technology, this will allow faster and more accurate tire design and performance improvement during the pre-production process, in addition to the existing FEA-based performance prediction technique and Genetic Algorithm that suggest optimal design plans.
  • Professor SeoungBum Kim of Korea University and Professor Ki Chun Lee of Hanyang University collaborated on the newly created tire performance prediction system using AI technology.