Surface reconstruction is an important trend in 3D scanning. The problem is to recreate surfaces from a given point cloud within the shortest possible time and with a given quality criteria. There is a set of different approaches for solving this problem, which includes Self-Organized Maps, Bayesian reconstruction and Poisson reconstruction.
ARACHNE: A neural-neuroglial network builder with remotely controlled parallel computing
Here we put forward a newly developed simulation environment ARACHNE: it enables an investigator to build and explore cellular networks of arbitrary biophysical and architectural complexity using the logic of NEURON and a simple interface on a local computer or a mobile device.
Good (and Bad) Reasons to Outsource Software Engineering
Software outsourcing is a fairly common business practice these days. Although “outsourcing” may just mean asking somebody "outside" of the company to perform the work, it typically means that work is "shipped" off-shore.
Adaptation of Image Processing Software for Windows Azure and HPC Cluster
In parallel computing systems computations are executed simultaneously, wholly or in part. This approach is based on the partitioning of a big task into smaller subtasks that can run in parallel.
Parallel computing techniques in CAD drawing analysis
Sketches obtained as a result of import or export from different CAD packages to DXF/DWG formats often contain broken geometry relations: broken tangent, broken horizontal or vertical relations, gaps between entities, etc.
Comparison of ConcRT, OpenMP and TBB technologies for multi-core numeric computation
In order to compare ConcRT, OpenMP and TBB technologies, we implemented a few algorithms from different areas of numeric computation and compared their performance with C++ equivalents. Four functions were implemented.
Mathematical modeling of complex problems is far more mainstream than it once was, and Excel has played a major role in making that happen. From linear programming to statistical models, Excel is used to implement many different modeling techniques. Built-in functions and custom worksheets significantly enhance Excel’s flexibility and suitability as the modeling tool of choice within existing customer-based applications.
Advantages of the distributed implementation of the Monte Carlo method in neurobiology simulation
The goal of this paper is to demonstrate the performance benefits from using distributed algorithms and computational power of clusters for Monte Carlo method in simulating processes in the field of neurobiology.
Microsoft announced new technology for GPGPU called C++ Accelerated Massive Parallelism - C++ AMP. It accelerates the execution of C++ code by taking advantage of the GPUs present on video cards with DirectX11 support. The main structure of C++ AMP is influenced by its main competitors like OpenCL and CUDA. But unlike OpenCL and CUDA, that are more oriented in C code, C++ AMP looks like STL library with new C++11 support.
As a software provider, you are undoubtedly stressed. You need high quality developers but can't spend a fortune and have little time to babysit anyone. Perhaps you considered outsourcing– but you probably also have heard many horror stories in the media and from colleagues. We actually agree, typical outsourcing is not usually the answer as it’s proven to fail often. Thus, after more than 10 years providing successful outsourcing solutions, we at AMC Bridge decided to share our experiences. Here are top 5 tips we have used to ensure that outsourcing works properly.
By Oleksandr Syniakov, Director of Enterprise Solutions at AMC Bridge. In our work with enterprise engineering organizations, we see a recurring pattern: the platform decision has been made, the APIs are available, initial prototypes show promise, and then the project stalls. Not because of missing capabilities, but because of everything that surrounds them: authentication models, cost governance, CI/CD pipelines, long-term maintainability, and the effort of moving from a working demo to a system hundreds of users depend on daily.
As product complexity increases and regulatory requirements become more stringent, engineering teams face growing pressure to ensure that design outputs consistently meet defined requirements. However, fragmented toolchains, manual validation, and weak traceability lead to inefficiencies, late-stage rework, and compliance risks. AMC Bridge has developed the AI-Assisted KiCad–Codebeamer MCP Integration Demo, a technology demonstration that introduces a new approach to requirements-driven design validation and compliance automation, in response to recurring challenges observed across client projects, where requirements management remains fragmented, inconsistently standardized, and often handled through emails, documents, or ad-hoc processes—highlighting a clear gap that existing tools, including ALM systems, do not fully address within manufacturing engineering workflows.
As manufacturing becomes more distributed and product development more complex, companies are under more pressure than ever to connect data across design, engineering, and production. The idea of a “digital thread,” this continuous flow of product data across systems, is no longer just a long-term goal, but something many organizations are actively pushing to implement.
As software vendors modernize their 3D platforms, transitioning to a reliable and widely adopted geometry kernel becomes essential for improving modeling accuracy, streamlining development, and accelerating innovation. To support organizations on this journey, Siemens Digital Industries Software and AMC Bridge hosted a joint webinar focused on Parasolid implementation. Discover how vendors can speed up product development by leveraging a PLM Components–based ecosystem and collaborating with engineering teams experienced in advanced geometry workflows.
