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In an organism, different kinds of cells carry out specific, specialized functions. Scientists can grow and study various types of cells in the lab. For a long time, a source of many of those cell lines were cancer samples that could be easily cultured over many generations. But those cells were not always representative of a particular cell type. Now, following huge breakthroughs, scientists learned how to create stem cells from adult skin cells. This has allowed scientists to utilize adult cells like those from the skin to create induced pluripotent cells (iPSCs), which can then be made into virtually any cell type.

The creation of so-called iPSCs was made possible through changing gene expression in cells, often with certain molecules or specialized proteins. Cells can also now be directly reprogrammed in some ways, without needing to bring them to a pluripotent state. The number of cell types that can be generated in this way is also expanding, bringing new insights into how specialized cells function.

Part 10 a series of articles describing the elements of Lawrence Livermore National Laboratory’s fusion breakthrough.

For hundreds of Lawrence Livermore National Laboratory (LLNL) scientists on the design, experimental, and modeling and simulation teams behind inertial confinement fusion (ICF) experiments at the National Ignition Facility (NIF), the results of the now-famous Dec. 5, 2022, ignition shot didn’t come as a complete surprise.

The “crystal ball” that gave them increased pre-shot confidence in a breakthrough involved a combination of detailed high-performance computing (HPC) design and a suite of methods combining physics-based simulation with machine learning. LLNL calls this “cognitive simulation,” or CogSim.

The above considerations have to be carefully factored in while selecting the approach to model different subsystems and modules, hardware or physics-based twins in the digital twin.

Data recording and logging are crucial components of any digital twin project. This data not only serves as the basis for simulation and testing but also facilitates debugging, system optimization and performance analysis. Effective data recording strategies can also assist in the validation of model assumptions, further enhancing system accuracy and reliability.

Digital twins are not merely simulation tools; they represent a fundamental shift in the way we can plan, design, deploy and optimize robotic automation systems in warehouses. A well-designed digital twin, factoring in the aspects outlined in this article, empowers reliable, predictable and efficient order fulfillment, catalyzing innovation and progress in customer satisfaction.

Open-source AI can be defined as software engineers collaborating on various artificial intelligence projects that are open to the public to develop. The goal is to better integrate computing with humanity. In early March, the open source community got their hands on Meta’s LLaMA which was leaked to the public. In barely a month, there are very innovative OpenSource AI model variants with instruction tuning, quantization, quality improvements, human evals, multimodality, RLHF, etc.

Open-source models are faster, more customizable, more private, and capable. They are doing things with $100 and 13B params that even market leaders are struggling with. One open-source solution, Vicuna, is an… More.


This article explores AI in the context of open-sourced alternatives and highlights market dynamics in play.

Sheikh Hamdan bin Mohammed bin Rashid, Crown Prince of Dubai, Of UAE, announced the launch of the third phase of the Dubai 10X initiative, and he said through his official account on Twitter: ‘Dubai 10X, launched by Mohammed bin Rashid in 2017, drives Dubai to be the leading global city, at the forefront of innovation and future readiness’.