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# MemComputing: Built for AI’s next frontier AI’s requirements have changed. General purpose chips don’t cut it. Making them burn more energy is unsustainable. A Different Path We never follow, We have led from day one. No upgrades. No workarounds. Only a clean...

## Sitemaps
[XML Sitemap](https://memcpu.com/sitemap_index.xml): Includes all crawlable and indexable pages.

## Posts
- [The Strategic Advantage of MemComputing in Oil and Gas: Upstream](https://memcpu.com/the-strategic-advantage-of-memcomputing-in-oil-and-gas-upstream/): The oil and gas industry consists of complex supply chains that can be separated into three sectors; upstream, midstream, and downstream. In this blog, we focus on the value MemComputing delivers across several applications in the upstream sector.
- [2022 AAAS Fellow](https://memcpu.com/2022-aaas-fellow/): Massimilliano Di Ventra, co-founder & co-inventor of the revolutionary MemComputing technology, has been honored with a 2022 Fellowship of the esteemed American Association for the Advancement of Science (AAAS). This highly prestigious recognition comes from his invaluable contributions to quantum transport in nanoscale systems and in-memory computing.
- [TechCompany News Interview](https://memcpu.com/techcompany-news-interview/): Tech Company News recently interviewed our CEO, John Beane about our technology and its applications across a number of markets. Learn more about the problems we are solving today and the hardware we are developing on our road map!
- [MemComputing: When Memory becomes a computing tool](https://memcpu.com/memcomputing-when-memory-becomes-a-computing-tool/): Max Di Ventra, cofounder and co-inventor of MemComputing, has written an article about MemComputing that has been featured in Physics Today. Discover the inspiration behind MemComputing and its unique computing architecture in this featured piece:
- [MemComputing Awarded ABMS ID/IQ Contracts](https://memcpu.com/memcomputing-awarded-abms-id-iq-contracts/): MemComputing Awarded Advanced Battle Management ID/IQ Contracts
- [Revolutionizing Computing Architecture with MemComputing ](https://memcpu.com/revolutionizing-computing-architecture-with-memcomputing/): Earlier this year, our CEO John Beane delivered a presentation to The Society of HPC Professionals in which he gave an overview of our technology and its applications in High Performance Computing. Here’s a nice summary of that presentation published in an article by the University of Houston. 
- [MemComputing Awarded Two New AFWERX Phase II SBIR Contracts](https://memcpu.com/memcomputing-awarded-two-new-afwerx-phase-ii-sbir-contracts/): MemComputing, Inc., developer of disruptive high-performance computing technology, has been awarded two new AFWERX Small Business Innovation Research (SBIR) Phase II contracts based on successfully completing two earlier Phase I awards. 
- [MemComputing vs Quantum Computing](https://memcpu.com/memcomputing-vs-quantum-computing/): We are often asked, “What’s the difference between MemComputing and Quantum Computing?”
- [Quantum Zeitgeist Interview](https://memcpu.com/quantum-zeitgeist-interview-2/): READ MORE
- [The Society of HPC Professionals](https://memcpu.com/the-society-of-hpc-professionals/): Our CEO John Beane presented our technology to The Society of HPC Professionals during their Lunch & Learn seminar. The talk, titled “MemComputing, the technology you have never heard of that will change computing” gives an overview of our technology and its applications in High Performance Computing.
- [Clicks & Bricks Podcast](https://memcpu.com/clicks-bricks-podcast/): https://www.youtube.com/watch?v=S6DpYlmpzC8
- [Introduction Video](https://memcpu.com/introduction-video/): https://www.youtube.com/watch?v=KRpl23UI4bw&t=1s
- [MemComputing vs Branch and Bound](https://memcpu.com/memcomputing-vs-branch-and-bound/): https://www.youtube.com/watch?v=3skhPMSeOBw
- [Helicopter Scheduling Demo](https://memcpu.com/helicopter-scheduling-demo/): https://youtu.be/pZXmNUCEdCg
- [Technical Deep Dive](https://memcpu.com/technical-deep-dive/): https://www.youtube.com/watch?v=x5fkVQv7NTw&amp%3Bt=1s
- [MemComputing for Next-Gen Gaming](https://memcpu.com/memcomputing-for-next-gen-gaming/): https://youtu.be/vdUUO2KGShU
- [The MemComputing Advantage in Transportation Logistics](https://memcpu.com/the-memcomputing-advantage-in-transportation-logistics/): https://www.youtube.com/watch?v=ckzZKBaiYYc
- [Autonomous Vehicle Routing](https://memcpu.com/autonomous-vehicle-routing/): https://youtu.be/xdYSun5GT7k
- [Optimizing Last Mile Logistics](https://memcpu.com/optimizing-last-mile-logistics/): Chances are before you run errands, you’ve probably already determined the route you're going to take in order to hit all your stops. It may range in order of priority, relative proximity to your house, or simply preference. But it typically revolves around efficiency. 
- [Australian Patent Granted](https://memcpu.com/australian-patent-granted/): This patent describes the novel computing architecture introduced by MemComputing and its ability to efficiently solve NP hard problems. Additional issued claims pertain to the embodiment of such a computing paradigm through physical circuits with conventional semiconductor fabrication techniques and virtual machine emulations.
- [The Strategic Advantage of MemComputing in Oil and Gas: Midstream](https://memcpu.com/the-strategic-advantage-of-memcomputing-in-oil-and-gas-midstream/): “The real competition is between supply chains, not companies” - Martin Christopher
- [Material Science Seminar, TU Dresden](https://memcpu.com/material-science-seminar-tu-dresden/): Our CTO, Fabio Traversa was invited to present MemComputing to the Institute of Materials Science and Nanotechnology of TU Dresden. This seminar aims to educate the division about our novel computing architecture and its possible applications in materials science.
- [How MemComputing is keeping trains on track](https://memcpu.com/how-memcomputing-is-keeping-trains-on-track/): Have you ever seen a train moving slowly or even coming to a stop on the track? Worse yet, been stuck at a railroad crossing waiting for what seems like hours for a freight train to pass?
- [2022 IEEE Fellow](https://memcpu.com/2022-ieee-fellow/): MemComputing co-founder Massimilliano Di Ventra has been named a 2022 fellow of the Institute of Electrical and Electronics Engineers (IEEE). This prestigious recognition comes from his contributions to quantum transport in nanoscale systems and in-memory computing (aka MemComputing).
- [MemComputing Hardware](https://memcpu.com/memcomputing-hardware/): https://www.youtube.com/watch?v=P4ZZ57a8Kl0
- [Superior Method for Training Neural Networks](https://memcpu.com/superior-method-for-training-neural-networks/): https://www.youtube.com/watch?v=Zk5Nie5xQ_k&feature=emb_logo
- [Solving the F2000 Problem](https://memcpu.com/solving-the-f2000-problem-2/): https://www.youtube.com/watch?v=jJi9uAFe4KA&t=2s
- [MemCPU in Oil and Gas](https://memcpu.com/memcpu-in-oil-and-gas/): https://www.youtube.com/watch?v=oidf03yrq8w
- [The Smart Grid Just Got a Whole Lot Smarter](https://memcpu.com/the-smart-grid-just-got-a-whole-lot-smarter/): The U.S. energy grid loses roughly 5% of all the electricity generated through inefficient transmission and distribution systems. 
- [Cargo Loading Optimization](https://memcpu.com/cargo-loading-optimization/): Learn how MemComputing is optimizing the loading strategies for our clients in transportation logistics to increase operational capacity and achieve new levels of efficiency.
- [Collaboration Paper with Los Alamos National Lab](https://memcpu.com/collaboration-paper-with-los-alamos-national-lab/): Paper written in collaboration with LANL Published in Science Advances
- [Mobility Now Podcast](https://memcpu.com/mobility-now-podcast/): John Beane, CEO and co-founder of MemComputing joins Amit Mehta & Dan Davies to discuss MemComputing and how its solves complex logistics problems across a number of industries.
- [21.2 SBIR Awards](https://memcpu.com/21-2-sbir-awards/):  DoD to leverage MemComputing for advanced satellite computing and signal processing
- [I’m sorry, but your flight has been delayed… again!](https://memcpu.com/im-sorry-but-your-flight-has-been-delayed-again/): Really, again?  
- [NASA AMS Seminar](https://memcpu.com/nasa-ams-seminar/): Our CTO, Fabio Traversa was invited to present MemComputing and its applications in High Performance Computing during a NASA Advanced Modeling and Simulation Seminar. This technical deep dive aims to educate the NASA SuperComputing community as well as industry leaders interested in learning about our novel computing architecture. This seminar series is hosted by the Computational Aerosciences Branch at the NASA Advanced Supercomputing facility.
- [Deep Tech Pioneer](https://memcpu.com/deep-tech-pioneer-2/): For the third consecutive year, MemComputing has been recognized by Hello Tomorrow as one of the most promising startups in the deep tech sector. From over 4,000 applications from 115 countries, we are proud to be selected as a Deep Tech Pioneer, and very much look forward to the Global Summit in December. 
- [Still Waiting for Quantum?](https://memcpu.com/still-waiting-for-quantum/): Many of you have undoubtedly heard the hype: the ability to break all encryption, discover the cure to cancer, and unlock the mysteries of our universe.
- [San Diego Business Journal](https://memcpu.com/memcomputing-receives-nasa-award/): MemComputing Receives NASA Award
- [The Fuse Show](https://memcpu.com/the-fuse-show/): https://www.youtube.com/watch?v=VtfgsxywFas
- [New Japanese Patent](https://memcpu.com/new-japanese-patent/): Patent provides additional global coverage for the company’s novel computing technology
- [Entrepreneurial Insights Podcast](https://memcpu.com/entrepreneurial-insights-podcast/):  Luke Ervin hosts MemComputing’s CEO John Beane on his Entrepreneurial Insights podcast where they discuss John’s illustrious entrepreneurial career and the growth of MemComputing. Full podcast can be found here:  LISTEN NOW
- [Will Reed Award](https://memcpu.com/will-reed-award/): MemComputing, Inc. has been selected as a top 50 seed-stage company to work for in 2021 by Will Reed, an exclusive search firm built exclusively for early-stage founders. This award comes as a result of an extensive search and review process of a competitive list of US tech startups with at least $2M in funding. 
- [NASA Phase I SBIR](https://memcpu.com/nasa-phase-i-sbir/): NASA to leverage the Virtual MemComputing Machine to Accelerate Supercomputing Workloads
- [Analytics Insight](https://memcpu.com/analytics-insight/): MemComputing was featured in Analytics Insight’s “Top 10 Neuromorphic Computing Startups to Keep and Eye on in 2021”. Below is the section on MemComputing.
- [Neuromorphic Chip Market](https://memcpu.com/neuromorphic-chip-market/): MemComputing, Inc. has been selected as a “Key Player” in the 2021 Neuromorphic Chip Market report by IndustryArc, a leading provider of market research reports and industry analysis. IndustryARC primarily focuses on cutting edge technologies and newer applications of the market. This report gives a detailed look into the Neuromorphic computing market, the companies operating in it, the applications, and adoption of this technology. MemComputing is poised to have a significant impact in this market.
- [NASA SETS LAUNCH PAD FOR HPC, ML STARTUPS](https://memcpu.com/nasa-sets-launch-pad-for-hpc-ml-startups/): While certainly not all of the selected companies play in the HPC/AI space, companies like MemComputing, which NASA selected for its virtual MemComputing Machine (VMM) technology highlight the agency’s focus on exploring non-standard data and system architectures. The startup has a varied SaaS-based platform via VMM that is based on the company’s novel circuit architecture. They say they can solve physics problem with quantum computing speed and that for NASA, they can snap into modeling and simulation areas handled on traditional supercomputers and solve problems more cost-effectively and efficiently.
- [New Advisors](https://memcpu.com/new-advisors/): Renowned Oil and Gas leaders to guide the company through future growth
- [AFWERX Phase II SBIR](https://memcpu.com/afwerx-phase-ii-sbir/): Space Force to leverage the Virtual MemComputing Machine to optimize tracking moving targets from Space.
- [MemComputing DoD Effort](https://memcpu.com/memcomputing-dod-effort/): This video describes one of the efforts that MemComputing is approaching with the USAF. MemComputing is very proud of the growing acceptance of our technology by the DoD.
- [StartUs Insights](https://memcpu.com/startus-insights/): MemComputing was featured in StartUs Insights research blogs, and was identified as one of the five top neuromorphic engineering startups. Below is the section on MemComputing.

## Pages
- [Board](https://memcpu.com/board/)
- [Case Studies](https://memcpu.com/case-studies-page/)
- [Careers](https://memcpu.com/careers_/): Our breakthrough chip technologies are redefining what's possible in AI, edge computing, and optimization. Trusted by NASA, the U.S. Department of Defense, and top-tier industry partners, we’re solving real-world problems once thought impossible. We’re not hiring at the moment, but we’re always interested in meeting passionate innovators. If you're excited by bold ideas, unconventional thinking, and mission-driven engineering, we’d love to hear from you.
- [The Team](https://memcpu.com/the-team/)
- [Podcasts-Interviews](https://memcpu.com/resources-podcasts-interviews/)
- [Articles](https://memcpu.com/resource-articles/)
- [Resource Center](https://memcpu.com/resource-center/): Since its inception in 2019, MemComputing set out to tackle some of the most challenging optimization problems faced by industries today. By developing groundbreaking technology capable of solving complex routing and scheduling problems, we demonstrated near-optimal solutions in minutes—solutions that traditional methods couldn’t achieve. This approach led to significant cost savings, often in the tens of millions annually for our clients.As we evolved, so did our vision. In 2024, we pivoted from providing these professional services to focus exclusively on advancing chip technology, aiming to redefine what's possible in computational performance. This section contains details on our original work, showcasing the foundation upon which we now build “The New Chip Company.”
- [Home](https://memcpu.com/): MemComputing expands deployable AI capacity inside existing power and cooling envelopes.
- [Pricing plans](https://memcpu.com/pricing-plans/): Pacific hake false trevally queen parrotfish black prickleback mosshead warbonnet sweeper! Greenling sleeper.
- [Projects](https://memcpu.com/projects-page/): Pacific hake false trevally queen parrotfish black prickleback mosshead warbonnet sweeper! Greenling sleeper.
- [About](https://memcpu.com/about/): We’ve designed a neural compute platform for the AI era. We are physicists, engineers, entrepreneurs and inventors obsessed with AI, building neural compute hardware and training technology where large-scale LLMs can fit on a single chip bringing powerful AI to the cloud, on-prem, edge and mobile.
- [Products](https://memcpu.com/products/): Scale inference without scaling power.
- [Advisors](https://memcpu.com/advisors/)
- [Our Story](https://memcpu.com/our-story/): MemComputing, Inc. was founded in 2016 by UC San Diego (UCSD) entrepreneur-in-residence John Beane and the inventors of the memcomputing technology, UCSD theoretical physicists Dr. Fabio Traversa and Dr. Massimiliano Di Ventra. Their goal was to commercialize a radically new computing paradigm inspired by physics and the human brain, patented by the inventors while at UCSD. The founders spun the company out with the university’s blessing after securing exclusive worldwide rights to the technology.
- [Presentations](https://memcpu.com/presentations/): Oct 8, 2020
- [Privacy Policy](https://memcpu.com/privacy-policy-2/): Privacy Policy
- [Terms of Use](https://memcpu.com/terms-of-use/): MemComputing, Inc.
- [White Papers](https://memcpu.com/white-papers/)
- [Contact](https://memcpu.com/contact/):  
- [Publications](https://memcpu.com/publications-page/): We report preliminary results on using the MEMCPU ™ Platform to compute the prime factorization of large biprimes. The approach described here uses a congruence model that returns smooth congruences to address the bottleneck of standard sieve methods. The model has size-dependent structure, and the MEMCPU Platform requires structure-dependent tuning for optimal performance. Therefore, we tuned the platform on sample problems up to a given size according to available resources. Then we generated RSA-like benchmark biprimes to perform rigorous scaling analysis. The MEMCPU timings over the tuned range followed low degree polynomials in the number of bits, markedly different from other tested methods including general number field sieve. MEMCPU’s model was scaled up to 300-bit factorization problems while following a 2 nd degree polynomial fit. We also discuss the approach to tuning the MEMCPU Platform for problems beyond the reach of today’s most advanced methods. Finally, basic analysis of the acceleration expected from an ASIC implementation is provided and suggests the possibility of real time factorization of large biprimes.
- [Press Releases](https://memcpu.com/press-releases/)

## Team Members
- [John A. Beane](https://memcpu.com/team/john-a-beane/)
- [Fabio Lorenzo Traversa, Ph.D.](https://memcpu.com/team/fabio-lorenzo-traversa-phd/)
- [Tristan A. Sharp, Ph.D.](https://memcpu.com/team/tristan-a-sharp-ph-d/)
- [Eric B. Olsen](https://memcpu.com/team/eric-b-olsen/)
- [Luther Wang, Ph.D.](https://memcpu.com/team/luther-wang-ph-d/)
- [Erick Pederson](https://memcpu.com/team/erick-pederson/)
- [Lucas Szajek](https://memcpu.com/team/lucas-szajek/)
- [Michael Kurtz](https://memcpu.com/team/michael-kurtz/)
- [David Shyde](https://memcpu.com/team/david-shyde/)
- [Manav Raina](https://memcpu.com/team/manav-raina/)
- [Sai Teja Bodanki](https://memcpu.com/team/sai-teja-bodanki/)
- [Massimiliano Di Ventra, Ph.D.](https://memcpu.com/team/massimiliano-di-ventra-phd/)
- [Rand Griffin](https://memcpu.com/team/rand-griffin/)
- [Albert Schneider](https://memcpu.com/team/albert-schneider-the-board/)
- [Geoffrey Baldwin](https://memcpu.com/team/geoffrey-baldwin/)
- [Julien Nguyen](https://memcpu.com/team/julien-nguyen/)
- [Prof. Giovanni De Micheli](https://memcpu.com/team/prof-giovanni-de-micheli/)
- [Rohit Vippagunta](https://memcpu.com/team/rohit-vippagunta/)

## Case Studies
- [Aircraft Scheduling Optimization](https://memcpu.com/case-studies/aircraft-scheduling-optimization/): In December 2022, a large storm crippled a major US airline due to its outdated scheduling software. As a result, they canceled over 15,000 flights nationwide, stranding thousands of passengers . Not only did this draw bad press, but it could cost the airline between $600 million and $700 million, according to estimates from Bank of America airline stock analyst Andrew Didora . Their crew scheduling system, which has been in use since the 90s, was simply incapable of handling the scale of schedule changes required to match crew members with available aircraft at the time of this incident. Unlike other large US airlines that use a “hub and spoke” model, its reliance on point-to-point operations made it more susceptible to scheduling catastrophes.
- [Helicopter-Scheduling-Optimization](https://memcpu.com/case-studies/helicopter-scheduling-optimization/): The Oil and Gas industry strives to optimize its production, reduce capital and operating costs, and maintain environmentally friendly operations. Optimization tools are widely used across various divisions to achieve these goals, as they allow for better decision making and improved operational efficiencies. However, there is room for significant improvement as the scale of the mathematical equations behind many of these optimization problems are too complicated for classical computing techniques. Therefore, these companies break up the equations and rely on heuristics or simplifying algorithms, which results in an approximate or less than optimal solution. The result leads to unavoidable operational costs that can reach hundreds of millions of dollars annually per issue . Oil and Gas companies canpositively affect the bottom line and improve their profit margins if they utilize MemComputing to address these optimization challenges.
- [Satellite-Optimization](https://memcpu.com/case-studies/satellite-optimization/): The US Air Force relies heavily on satellite imagery for a large range of combat operations. It is imperative that the processing, accuracy, and dissemination of this data is both rapid and reliable in order to maximize the performance of the warfighter. Although today’s satellites are very sophisticated, there are still great challenges when tracking high-speed aerial targets. This is due to varying satellite orbits, communication networks, processing techniques, and time constraints. Ultimately, this hinders the DoD’s ability to efficiently react to potential aerial threats.
- [Drone Swarm Optimization](https://memcpu.com/case-studies/drone-swarm-optimization-memcomputing-x-lockheed-martin-2023/): Artificial Intelligence (AI) is rapidly evolving thanks to advances in technology and innovative applications. From virtual assistants to self-driving cars, AI is being deployed across nearly every industry. However, there are still great computational challenges in developing advanced AI.
- [Aircraft Cargo Loading Optimization](https://memcpu.com/case-studies/aircraft-cargo-loading-optimization/): In December 2022, a large storm crippled a major US airline due to its outdated scheduling software. As a result, they canceled over 15,000 flights nationwide, stranding thousands of passengers . Not only did this draw bad press, but it could cost the airline between $600 million and $700 million, according to estimates from Bank of America airline stock analyst Andrew Didora .
- [Maritime-Delivery-Optimization](https://memcpu.com/case-studies/maritime-delivery-optimization/): This case study was a joint effort between one of the world’s largest oil and gas companies and MemComputing. It examines the optimization of a complex scheduling problem for the maritime transportation of cargo to offshore facilities, such as offshore platforms and drilling rigs. The problem involves balancing the delivery of goods and fuel from an onshore dock location to various offshore facilities within a 30-day period. Using Integer Linear Programming (ILP) and data from the customers benchmark, a mathematical model was built to represent the problem. The model was run on a leading commercial solver and the MEMCPU Platform. The problem proved to be intractable for the commercial solver, while the MEMCPU Platform delivered highly optimized solutions in under an hour. The results of the optimization showed a 16% increase in the delivery of goods, a 42% reduction in the number of required ships, and a 48% reduction in the number of overall transits. These optimized routes demonstrated the potential for $1.5M in monthly cost savings and a 18 kt reduction in carbon emissions. This paper highlights the potential of the MEMCPU Platform in addressing complex scheduling problems while delivering tangible benefits