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Google proposes Data-free NAS, which requires only one pre-trained model for web search
Google proposes Data-free NAS, which requires only one pre-trained model for web search
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Use ddrescue to recover data on Linux
Mar 20, 2024 pm 01:37 PM
DDREASE is a tool for recovering data from file or block devices such as hard drives, SSDs, RAM disks, CDs, DVDs and USB storage devices. It copies data from one block device to another, leaving corrupted data blocks behind and moving only good data blocks. ddreasue is a powerful recovery tool that is fully automated as it does not require any interference during recovery operations. Additionally, thanks to the ddasue map file, it can be stopped and resumed at any time. Other key features of DDREASE are as follows: It does not overwrite recovered data but fills the gaps in case of iterative recovery. However, it can be truncated if the tool is instructed to do so explicitly. Recover data from multiple files or blocks to a single
CUDA's universal matrix multiplication: from entry to proficiency!
Mar 25, 2024 pm 12:30 PM
General Matrix Multiplication (GEMM) is a vital part of many applications and algorithms, and is also one of the important indicators for evaluating computer hardware performance. In-depth research and optimization of the implementation of GEMM can help us better understand high-performance computing and the relationship between software and hardware systems. In computer science, effective optimization of GEMM can increase computing speed and save resources, which is crucial to improving the overall performance of a computer system. An in-depth understanding of the working principle and optimization method of GEMM will help us better utilize the potential of modern computing hardware and provide more efficient solutions for various complex computing tasks. By optimizing the performance of GEMM
Open source! Beyond ZoeDepth! DepthFM: Fast and accurate monocular depth estimation!
Apr 03, 2024 pm 12:04 PM
0.What does this article do? We propose DepthFM: a versatile and fast state-of-the-art generative monocular depth estimation model. In addition to traditional depth estimation tasks, DepthFM also demonstrates state-of-the-art capabilities in downstream tasks such as depth inpainting. DepthFM is efficient and can synthesize depth maps within a few inference steps. Let’s read about this work together ~ 1. Paper information title: DepthFM: FastMonocularDepthEstimationwithFlowMatching Author: MingGui, JohannesS.Fischer, UlrichPrestel, PingchuanMa, Dmytr
How to calculate addition, subtraction, multiplication and division in word document
Mar 19, 2024 pm 08:13 PM
WORD is a powerful word processor. We can use word to edit various texts. In Excel tables, we have mastered the calculation methods of addition, subtraction and multipliers. So if we need to calculate the addition of numerical values in Word tables, How to subtract the multiplier? Can I only use a calculator to calculate it? The answer is of course no, WORD can also do it. Today I will teach you how to use formulas to calculate basic operations such as addition, subtraction, multiplication and division in tables in Word documents. Let's learn together. So, today let me demonstrate in detail how to calculate addition, subtraction, multiplication and division in a WORD document? Step 1: Open a WORD, click [Table] under [Insert] on the toolbar, and insert a table in the drop-down menu.
How to use Excel filter function with multiple conditions
Feb 26, 2024 am 10:19 AM
If you need to know how to use filtering with multiple criteria in Excel, the following tutorial will guide you through the steps to ensure you can filter and sort your data effectively. Excel's filtering function is very powerful and can help you extract the information you need from large amounts of data. This function can filter data according to the conditions you set and display only the parts that meet the conditions, making data management more efficient. By using the filter function, you can quickly find target data, saving time in finding and organizing data. This function can not only be applied to simple data lists, but can also be filtered based on multiple conditions to help you locate the information you need more accurately. Overall, Excel’s filtering function is a very practical
Google is ecstatic: JAX performance surpasses Pytorch and TensorFlow! It may become the fastest choice for GPU inference training
Apr 01, 2024 pm 07:46 PM
The performance of JAX, promoted by Google, has surpassed that of Pytorch and TensorFlow in recent benchmark tests, ranking first in 7 indicators. And the test was not done on the TPU with the best JAX performance. Although among developers, Pytorch is still more popular than Tensorflow. But in the future, perhaps more large models will be trained and run based on the JAX platform. Models Recently, the Keras team benchmarked three backends (TensorFlow, JAX, PyTorch) with the native PyTorch implementation and Keras2 with TensorFlow. First, they select a set of mainstream
Slow Cellular Data Internet Speeds on iPhone: Fixes
May 03, 2024 pm 09:01 PM
Facing lag, slow mobile data connection on iPhone? Typically, the strength of cellular internet on your phone depends on several factors such as region, cellular network type, roaming type, etc. There are some things you can do to get a faster, more reliable cellular Internet connection. Fix 1 – Force Restart iPhone Sometimes, force restarting your device just resets a lot of things, including the cellular connection. Step 1 – Just press the volume up key once and release. Next, press the Volume Down key and release it again. Step 2 – The next part of the process is to hold the button on the right side. Let the iPhone finish restarting. Enable cellular data and check network speed. Check again Fix 2 – Change data mode While 5G offers better network speeds, it works better when the signal is weaker
The vitality of super intelligence awakens! But with the arrival of self-updating AI, mothers no longer have to worry about data bottlenecks
Apr 29, 2024 pm 06:55 PM
I cry to death. The world is madly building big models. The data on the Internet is not enough. It is not enough at all. The training model looks like "The Hunger Games", and AI researchers around the world are worrying about how to feed these data voracious eaters. This problem is particularly prominent in multi-modal tasks. At a time when nothing could be done, a start-up team from the Department of Renmin University of China used its own new model to become the first in China to make "model-generated data feed itself" a reality. Moreover, it is a two-pronged approach on the understanding side and the generation side. Both sides can generate high-quality, multi-modal new data and provide data feedback to the model itself. What is a model? Awaker 1.0, a large multi-modal model that just appeared on the Zhongguancun Forum. Who is the team? Sophon engine. Founded by Gao Yizhao, a doctoral student at Renmin University’s Hillhouse School of Artificial Intelligence.
