Cerebral accelerators are military-grade boosters that significantly increase a new pilot's skill development. This technology is usually available only to naval officers, but CONCORD has authorized the release of a small number to particularly...

It has roughly the efficiency of injecting a 50-80 million SP character (when you get taxed 40% of the injector amount). Any character below 50 million skill points is better off with an injector. Over 80 million, the accelerator is much more ISK-efficient.

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Particle accelerators require constant tuning during operation to meet beam quality, total charge and particle energy requirements for use in a wide variety of physics, chemistry and biology experiments. Maximizing the performance of an accelerator facility often necessitates multiobjective optimization, where operators must balance trade-offs between multiple competing objectives simultaneously, often using limited, temporally expensive beam observations. Usually, accelerator optimization problems are solved off-line, prior to actual operation, with advanced beam line simulations and parallelized optimization methods (NSGA-II, swarm optimization). Unfortunately, it is not feasible to use these methods for online multiobjective optimization, since beam measurements can only be done in a serial fashion, and these optimization methods require a large number of measurements to converge to a useful solution. Here, we introduce a multiobjective Bayesian optimization scheme, which finds the full Pareto front of an accelerator optimization problem efficiently in a serialized manner and is thus a critical step towards practical online multiobjective optimization in accelerators. This method uses a set of Gaussian process surrogate models, along with a multiobjective acquisition function, to reduce the number of observations needed to converge by at least an order of magnitude over current methods. We demonstrate how this method can be modified to specifically solve optimization challenges posed by the tuning of accelerators. This includes the addition of optimization constraints, objective preferences and costs related to changing accelerator parameters.

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Unlike traditional startup accelerators, we do not provide theories. We create an environment that helps make better decisions and do the work online [virtually] or at our space [in-person] in Los Angeles.

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The issue we now have is that we cannot integrate Project for the Web with Teams Channels and by extension, implement tasks directly to Engineering Team Planners. While the accelerator continues to provide great project and reporting solution, the lack of integration with Teams seriously reduces its effectiveness as a collaboration tool. Research to date indicates that only Project for the Web installed in the default instance (not best practice) will integrate with Microsoft teams.

Entrepreneurship for All (EforAll), a nonprofit with a proven track record of helping underrepresented individuals successfully start a business, is running a no-cost, 12-week virtual business accelerator program for individuals residing in Texas.

With shrinking borders in the digital world, these hubs are open for business even if you want to give the flight ticket a pass. Find out which of these remote accelerators and incubators is a good fit for your startup.

The three-month accelerator program is based out of Singapore, but has been taken online because of the COVID-19 pandemic. It concludes with Demo Day (where applicants pitch their ideas to a private network of influence) and an international trip, contingent on developments in the global health situation. Applications end May 17.

Pioneer is a fully remote accelerator program that utilizes gamification in their application process. Startups can enter and compete in the Pioneer Tournament, and experts select startups from the Global Top 50 to join the program.

The Leap is a Bridge for Billions online accelerator program that helps businesses translate their ideas into plans within three months. The program is more suited to nascent businesses, and charges $525 for the entire course.

dLAb works with decentralization and blockchain tech startups. While their accelerator program is based in New York, they run the virtual incubator dLab Incubate, a 12-week long program that provides $12,000 in pre-seed capital.

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How much does it cost: there are no fees to register or attend an accelerator. If the event is in-person, participants are responsible only for their travel, food, and accommodations.

"One of the biggest benefits of the accelerators is definitely getting face-to-face time with the experts. We can email back and forth, we can submit issues. But at the end of the day, being able to walk through certain challenges, ask them questions about specific APIs; just like VR meetings, you can solve things must faster because you're actually confronting the problems with people all simultaneously chiming in, rather than the inefficiencies of back and forth emails or slack messages."

Currently online tuning of accelerator parameters to improve performance is limited to solving single objective problems, ie. minimizing the beam brightness or bunch length from a photoinjector. These objectives often are in competition with one another, where minimizing one objective comes at a deleterious cost to another. We wish to experimentally identify the ideal trade-off between competing objectives when it is expensive or time-consuming to perform an objective measurement, known as solving the multi-objective optimization problem. Previously, this has only been possible in simulated environments. However, our paper describes an algorithm that can determine this trade-off between objectives in an experimentally efficient manner.

This work contributes towards the goals of Theme 3: Beam Dynamics and Control which aims to develop novel methods for improving control of high brightness accelerators. Using these advanced control methods, CBB enables improved transport of beams once they are generated to free electron laser and collider applications.This advancement solves an extremely common experimental or computational problem faced by those in the accelerator, physical, chemical and biological scientific fields. As such, it is applicable towards solving any multi-objective experimental problem where it is difficult or expensive to make an objective measurement.

Scientists in the physics community will, for the first time, be able to characterize the ideal experimental trade-off between competing objectives in order to improve and have greater control over their experiments that require optimization.

The University of Kentucky welcomes you to Entrepreneurs Bootcamp: an online business accelerator designed to assess and validate the feasibility of a business concept, create a business model, and provide hands-on experience for entrepreneurs seeking to launch a startup for the first time in the state of Kentucky.

Bootcamp is time consuming and demanding outside of regular job/class schedules. It is offered in the evenings to mimic the life of an entrepreneur. All participants are held accountable to meet various milestones, schedule zoom/team meetings outside the scheduled sessions, and perform the duties of an acting CEO. The Bootcamp accelerator program is not recommended for incoming freshman, or those with an already demanding schedule. All participants in Bootcamp are working towards launching real businesses in the state of Kentucky. Eligibility and acceptance into Bootcamp is competitive. Previous participants/graduates of the accelerator will not be eligible to enroll. 0852c4b9a8

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