Mathematical physics

Innoviz Bolsters Sales Leadership with New Management Team Appointments

Retrieved on: 
Tuesday, May 24, 2022
Business development, Physics, Review, ADAS, Herzliya, BS, Fuller Theological Seminary, Interdisciplinary Center Herzliya, Technion – Israel Institute of Technology, Government, Computer, Corporate development, Infineon Technologies, IOT, RADA Electronic Industries, CVP, LLB, Marketing, Board, Global Accounting Alliance, Stellantis, Mathematical physics, Rosenzweig, Growth, Wayne State University, Ford Motor Company, Company, TEL, IDC, Kalamazoo College, OEM, Executive, Toyota, Partnership, Time, CBO, Program, Organization, Corporation, DSP Group, MBA, Engineering, Mitsubishi, Leadership, Comfort, NASDAQ, Life, Electronics, Safety, KPI-driven code analysis, Project, Video game, Management, Nissan, Mathematics, Lidar, Industry, Technology

TEL AVIV, Israel, May 24, 2022 /PRNewswire/ -- Innoviz Technologies Ltd. (NASDAQ: INVZ) (the "Company" or "Innoviz"), a leading provider of high-performance LiDAR sensors and perception software, today announced a series of management team appointments to bolster its sales leadership experience and support its continued growth.

Key Points: 
  • Chen will oversee the Company's business development activities, establish sales targets and KPIs, and implement, report and review strategic sales and marketing plans.
  • Craig will be responsible for sales and business development of Innoviz LiDAR products and associated software in all industry verticals in North America.
  • I will support Tali and the leadership team to ensure a successful transition and I wish the incredible Innoviz team continued success."
  • Innoviz is a global leader in LiDAR technology, working towards a future with safe autonomous vehicles on the world's roads.

Winner of 2020 Journal of Mathematical Physics Young Researcher Award Announced

Retrieved on: 
Wednesday, August 4, 2021
Articles, Journal of Mathematical Physics, Mathematics, Academic disciplines, Physics

WASHINGTON, Aug. 4, 2021 /PRNewswire/ --AIP Publishing has named Andrew Lucas winner of the 2020 Journal of Mathematical Physics Young Researcher Award.

Key Points: 
  • WASHINGTON, Aug. 4, 2021 /PRNewswire/ --AIP Publishing has named Andrew Lucas winner of the 2020 Journal of Mathematical Physics Young Researcher Award.
  • "I am humbled to win the Young Researcher Award from JMP for the proof of a fast-scrambling conjecture," said Lucas.
  • To receive this award for one of my first ventures into mathematical physics is especially meaningful."
  • The Journal of Mathematical Physics Young Researcher Award aims to recognize outstanding research in mathematical physics by a Journal of Mathematical Physics author or coauthors.

Journal of Mathematical Physics Editor Named Henri Poincaré Prize Laureate

Retrieved on: 
Monday, August 2, 2021
Articles, Science, Academic disciplines, International Association of Mathematical Physics, Mathematical physics, Journal of Mathematical Physics, Jan Philip Solovej, Physics, Mathematics, American Physical Society

WASHINGTON, Aug. 2, 2021 /PRNewswire/ -- The International Association of Mathematical Physics has recognized Jan Philip Solovej, editor-in-chief of the Journal of Mathematical Physics, by AIP Publishing, as a 2021 laureate of the Henri Poincar Prize .

Key Points: 
  • WASHINGTON, Aug. 2, 2021 /PRNewswire/ -- The International Association of Mathematical Physics has recognized Jan Philip Solovej, editor-in-chief of the Journal of Mathematical Physics, by AIP Publishing, as a 2021 laureate of the Henri Poincar Prize .
  • The prize is awarded by the International Association of Mathematical Physics to three to four individuals every three years to recognize and support contributions to the field of mathematical physics.
  • "This is maybe the most prestigious award in the field of mathematical physics.
  • Journal of Mathematical Physics publishes research that connects the application of mathematics to problems in physics, as well as illustrates the development of mathematical methods for such applications and for the formulation of physical theories.

Traffic4cast competition reveals novel way to predict traffic flow using AI

Retrieved on: 
Saturday, December 14, 2019
Land transport, Transport, Road traffic management, Road transport, Computational neuroscience, Mathematical physics, Emerging technologies, Traffic flow, Traffic, Prediction, Artificial neural network, Neural network

Traffic4cast, a unique competition merging movie-prediction machine learning with traffic research, challenged competitors to understand complex traffic systems and make predictions about how they would flow in the future.

Key Points: 
  • Traffic4cast, a unique competition merging movie-prediction machine learning with traffic research, challenged competitors to understand complex traffic systems and make predictions about how they would flow in the future.
  • Traffic comes about when drivers make simple decisions that lead to complex behavior patterns.
  • Effectively identifying and analyzing traffic patterns lead to more accurate predictions of how traffic would move on given roads at given times of day.
  • The Traffic4cast results show that neural networks were the most effective method used at predicting traffic and came closest to simulating the exact traffic flow.