Invited speakers

  • Natalia Berloff, University of Cambridge, UK – “Polychronous Wave Computing“
  • Kerem Camsari, Inviersity of California, santa Barbara, USA – “Probabilistic Computers for Generative AI”
  • Andraž Jelinčič, Extropic Corp, Boston, USA – “An efficient probabilistic hardware architecture for diffusion-like models”
  • Andrew Kent, New York University, USA – “Solving Optimization Problems with Stochastic Magnetic Tunnel Junctions.”
  • Pedram Khalili, Northwestern University, Evanston, USA – “CMOS+Spintronic probabilistic computing with p-bits, p-dits, and p-integers”
  • Can Li, The University of Hong Kong, China – “Solving combinatorial optimization problems with physical dynamics in classical memristive analog computing systems”
  • Sai Li, Beihang university, China – “Ultra-Fast Ising Machine for Combinatorial Optimization using Sub-nanosecond CMOS- integrated Magnetoresistive Random Access Memory”
  • Albert Liang Gengchiau, National Yang-Ming Chiao Tung University, Hsinchu, Taiwan – “Probabilistic Computing for Bioinformatics Applications with Ising Machines“
  • Piergiulio Mannocci, Politecnico di Milano, Italy – “Solving Inverse Problems with In-Memory Computing: From Linear Algebra to Optimization”
  • Johan Mentink, Radboud University, The Netherlands – “Exploring large-scale quantum simulation with classical probabilistic computers”
  • Flaviano Morone, New York University, USA – “Classical Heisenberg Machine: combinatorial optimization with classical kicked tops”
  • Masato Motomura, Institute of Science Tokyo, Japan – “Towards versatile and usable annealing systems for real-world combinatorial optimization problems”
  • Anil Prabhakar, IIT-Madras, India – “Prime factorization on Ising machines”
  • Damien Querlioz, Université Paris-Saclay, France – “Mitigating the Impact of Device Imperfections in Nanodevice-Based Ising Machines”
  • Sayeef Salahuddin, University of California, Berkeley – “to be announced”
  • Aida Todri-Sanial, Eindhoven University of Technology, the Netherlands – “Thermodynamic computing with oscillatory neural networks for linear algebra problems”
  • Qiming Shao, The Hong Kong University of Science and Technology, Hong Kong – “Analog Ising Machine Using CMOS-integrated Voltage-Controlled Magnetic Tunnel Junctions”
  • Bhavin Shastri, Queen’s University, Canada – “Hopfield-inspired photonic Ising machines”
  • Nikhil Shukla, University fo Virginia, USA – “Computing with Physics: Dynamical Systems, p-Bits, and Optimization at Scale”
  • Tathagata Srimani, Carnegie Mellon University, Pittsburgh, USA – “Reconfigurable and Scalable Probabilistic Computing with P-bits”
  • Kosuke Tatsumura, Toshiba Corporation, Japa – “Bringing Quantum-Inspired Ising Machines into Mobile Robots”
  • Sridhar Tayur, Carnegie Mellon University, Pittsburgh, USA – “Graver Augmented Multiseed Algorithm (GAMA) using Ising Solvers for Non-Linear Objective Binary Constrained Optimization (NOBCO)”
  • Guy Verschaffelt, Vrije Universiteit Brussel, Belgium – “Implementing spatially multiplexed opto-electronic Ising machines using spatial light modulators”
  • Thomas Van Vaerenbergh, Hewlett Packard Enterprise – “Native space in-memory optimization accelerators as engines for general-purpose optimization frameworks”