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- The importance of 5G for manufacturing robots
- The use of robots is often associated with the pursuit of efficiency and productivity. According to the International Trade Administration, a 1% increase in robot density increases productivity by 0.8% across all industries. Today, robotics in manufacturing is the highlight of this ongoing story. Robots are now used at every stage of the manufacturing process in all industries. While robotics is not new in manufacturing, the use of these technologies has exploded in recent years. In the early days of robotics, it was primarily large manufacturers such as automakers that used mobile robots and painting robots for tasks such as painting. However, the rapidly changing business environment has led to a dramatic increase in the adoption of robotics in manufacturing by companies of all sizes. Amount of adoption of robotics in manufacturing
- AI 991 2024-05-08 09:10:07
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- Xpeng Technology Label adds new members, joins hands with Volkswagen to define next-generation smart cars through EEA
- Under the sweep of intelligent and networked technological changes, vehicles are no longer simple means of transportation, but have become independent and mobile service spaces. In this process, China's new energy vehicles are undoubtedly at the forefront of the world. One of the most obvious signs is that Volkswagen, the former learning object of the Chinese automobile industry, has begun to learn from its experience in reverse. In April this year, Xpeng Motors and Volkswagen Group signed a strategic cooperation framework agreement on EEA electronic and electrical architecture technology. The two parties will jointly develop and integrate it into Volkswagen's CMP platform in China based on Xpeng Motors' latest generation electronic and electrical architecture. The electronic and electrical architecture jointly developed by the two parties is expected to be used in Volkswagen brand electric models produced in China from 2026. This is following the "equity investment" cooperation
- AI 469 2024-05-08 08:46:01
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- Intelligent computing accelerates search, China Sky Eye FAST finds the longest period pulsar in globular star clusters to date
- We know that globular star clusters are a celestial system bound by gravity. They are ancient star clusters composed of tens of thousands to millions of stars. Most of them appear spherical in appearance, but they may also be shaped by the gravitational influence of other celestial systems. deviation from the spherical shape. The dynamic evolution process of globular star clusters and the synthesis path of star populations are hot research topics in the current literature circle. After decades of evolution, the number of stars in globular clusters has shrunk into a few dense stars, one of which is the pulsar. By understanding the distribution and properties of pulsars in globular clusters, we can gain an in-depth understanding of the density distribution, mass distribution, and interactions with other celestial bodies inside globular clusters, and then obtain important information such as the dynamic evolution process of globular clusters and the synthesis paths of star populations. . According to astronomical observations, pulsars orbit
- AI 623 2024-05-07 21:50:05
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- Fine-tuning and quantification actually increase the risk of jailbreak! Mistral, Llama and others were all spared
- A large model has been exposed to safety issues again! Recently, researchers from EnkryptAI published shocking research results: quantization and fine-tuning can actually reduce the security of large models! Paper address: https://arxiv.org/pdf/2404.04392.pdf In the author’s actual testing, basic models such as Mistral and Llama, including their fine-tuned versions, were not spared. After quantification or fine-tuning, the risk of LLM being jailbroken is greatly increased. ——LLM: My effects are amazing, I am omnipotent, I am riddled with holes... Perhaps, for a long time in the future, the offensive and defensive war on various loopholes in large models will not stop. Depend on
- AI 1305 2024-05-07 19:20:02
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- LeCun forwarded, AI allows aphasic people to speak again! NYU releases new 'neural-speech” decoder
- The development of brain-computer interface (BCI) in the field of scientific research and application has recently received widespread attention, and everyone is generally curious about the application prospects of BCI. Aphasia due to neurological defects not only severely hinders patients' daily life, but may also limit their professional development and social activities. With the rapid development of deep learning and brain-computer interface technology, modern science is moving in the direction of assisting aphasic people to regain communication abilities through neural voice prostheses. The human brain has made a series of exciting developments, and there have been many breakthroughs in decoding signals in speech, operations, and more. It is particularly worth mentioning that Elon Musk’s Neuralink company has also made breakthrough progress in this field.
- AI 715 2024-05-07 18:07:16
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- Explore EU agreement on artificial intelligence regulation
- After three days of "marathon" negotiations, the Council President and negotiators have just reached an agreement on artificial intelligence coordination rules, which is expected to eventually become the "Artificial Intelligence Bill for Artificial Intelligence Regulation." The draft regulation focuses on providing a compliance framework that prioritizes the deployment of safe and human rights-respecting AI systems in the EU. This artificial intelligence regulation goes beyond inspiring European countries to invest and innovate in the field of artificial intelligence. The Artificial Intelligence Bill is landmark legislation that creates an enabling environment in which the use of artificial intelligence becomes a better tool for security and trust, ensuring public security across the EU. and private sector stakeholder engagement. The main idea is that artificial intelligence will cause harm to society based on
- AI 1031 2024-05-07 17:34:32
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- Domestic open source MoE indicators explode: GPT-4 level capabilities, API price is only one percent
- The latest large-scale domestic open source MoE model has become popular just after its debut. The performance of DeepSeek-V2 reaches GPT-4 level, but it is open source, free for commercial use, and the API price is only one percent of GPT-4-Turbo. Therefore, as soon as it was released, it immediately triggered a lot of discussion. Judging from the published performance indicators, DeepSeekV2's comprehensive Chinese capabilities surpass those of many open source models. At the same time, closed source models such as GPT-4Turbo and Wenkuai 4.0 are also in the first echelon. The comprehensive English ability is also in the same first echelon as LLaMA3-70B, and surpasses Mixtral8x22B, which is also a MoE. It also shows good performance in knowledge, mathematics, reasoning, programming, etc. And supports 128K context. Picture this
- AI 731 2024-05-07 17:34:01
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- Quantile regression for time series probabilistic forecasting
- Do not change the meaning of the original content, fine-tune the content, rewrite the content, and do not continue. "Quantile regression meets this need, providing prediction intervals with quantified chances. It is a statistical technique used to model the relationship between a predictor variable and a response variable, especially when the conditional distribution of the response variable is of interest When. Unlike traditional regression methods, quantile regression focuses on estimating the conditional magnitude of the response variable rather than the conditional mean. "Figure (A): Quantile regression Quantile regression is an estimate. A modeling method for the linear relationship between a set of regressors X and the quantiles of the explained variables Y. The existing regression model is actually a method to study the relationship between the explained variable and the explanatory variable. They focus on the relationship between explanatory variables and explained variables
- AI 809 2024-05-07 17:04:01
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- Hard core to solve Sora's physics bug! Four top universities in the United States jointly released: Install a physics engine for the video generator
- Some bugs appeared after Sora was released. Users on the Internet discovered some problems. Although the model did not fully understand the physical world, when the puppy was walking, the two front legs would intersect, which was unexpected. game. The interaction of objects is very important for generating video realism, but currently it is still very difficult to synthesize the dynamic behavior of real 3D objects in interaction. Action-conditioned dynamics is a research area that requires the perception of physical material properties of objects and the prediction of 3D motion based on these properties (such as object stiffness). Assessing physical material properties remains a thorny and unsolved problem because measuring physical material properties of real objects is extremely difficult due to lack of data support. Recently, M.I.T.
- AI 1284 2024-05-07 17:01:18
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- The U.S. Air Force showcases its first AI fighter jet with high profile! The minister personally conducted the test drive without interfering during the whole process, and 100,000 lines of code were tested for 21 times.
- Recently, the military circle has been overwhelmed by the news: US military fighter jets can now complete fully automatic air combat using AI. Yes, just recently, the US military’s AI fighter jet was made public for the first time and the mystery was unveiled. The full name of this fighter is the Variable Stability Simulator Test Aircraft (VISTA). It was personally flown by the Secretary of the US Air Force to simulate a one-on-one air battle. On May 2, U.S. Air Force Secretary Frank Kendall took off in an X-62AVISTA at Edwards Air Force Base. Note that during the one-hour flight, all flight actions were completed autonomously by AI! Kendall said - "For the past few decades, we have been thinking about the unlimited potential of autonomous air-to-air combat, but it has always seemed out of reach." However now,
- AI 681 2024-05-07 17:00:54
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- How do big data and artificial intelligence work together?
- In today's data-driven world, collaboration between big data and artificial intelligence is becoming increasingly important for organizations looking to gain a competitive advantage. Big data is characterized by the large amount, variety and speed of data generated, which provides artificial intelligence algorithms with raw materials to extract valuable insights and promote intelligent decision-making. Together, these two transformative technologies have the potential to revolutionize industries around the world. Let’s take a closer look at how big data and artificial intelligence work together, and strategies to unlock their full potential. 1. Data collection and processing Big data consists of large amounts of structured and unstructured data from a variety of sources, including social media, sensors, devices, and enterprise systems. Artificial intelligence algorithms such as machine learning and deep learning are then applied to analyze and interpret this data. For example, machine learning
- AI 951 2024-05-07 16:37:01
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- Challenging OpenAI, Microsoft's self-developed top-secret weapon with 500 billion parameters is exposed! Former Google DeepMind executive leads the team
- Without OpenAI, Microsoft may also become the leader in AI! Foreign media Information broke the news that Microsoft is internally developing its first large-scale model with 500 billion parameters, MAl-1. This happens to be the time for Nadella to lead the team to prove himself. After investing more than 10 billion US dollars in OpenAI, Microsoft obtained the right to use the GPT-3.5/GPT-4 advanced model, but after all, it was not a long-term solution. There are even rumors that Microsoft has been reduced to an IT department of OpenAI. In the past year, as everyone knows, Microsoft's research on LLM has mainly focused on the update of small-scale phi, such as the open source of Phi-3. As for specializing in large models, in addition to the Turing series,
- AI 1239 2024-05-07 16:34:01
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- Stanford's 2 billion parameter end-test multi-modal AI Agent model has been greatly upgraded, and can be used by mobile phones, cars and robots
- OctopusV3, the world's first ultra-small multi-modal AIA agent model, comes from the NEXAAI team of Stanford University, making the agent smarter, faster, and reducing energy consumption and cost. In early April this year, NEXAAI launched the much-anticipated OctopusV2. This model surpassed GPT-4 in function calling performance, reduced the amount of text required during inference by 95%, and brought new capabilities to end-side AI applications. possibility. Its patented core technology "functionaltoken" significantly reduces the length of text required for reasoning through innovative function calling methods. This approach enables efficient training of the model with only 2 billion parameters and surpasses GPT-4 in terms of accuracy and latency.
- AI 1226 2024-05-07 16:25:29
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- The world's most powerful open source MoE model is here, with Chinese capabilities comparable to GPT-4, and the price is only nearly one percent of GPT-4-Turbo
- Imagine an artificial intelligence model that not only has the ability to surpass traditional computing, but also achieves more efficient performance at a lower cost. This is not science fiction, DeepSeek-V2[1], the world’s most powerful open source MoE model is here. DeepSeek-V2 is a powerful mixture of experts (MoE) language model with the characteristics of economical training and efficient inference. It consists of 236B parameters, 21B of which are used to activate each marker. Compared with DeepSeek67B, DeepSeek-V2 has stronger performance, while saving 42.5% of training costs, reducing KV cache by 93.3%, and increasing the maximum generation throughput to 5.76 times. DeepSeek is a company exploring general artificial intelligence
- AI 1266 2024-05-07 16:13:20
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- Reversal after explosion? KAN who 'killed an MLP in one night': Actually, I am also an MLP
- Multilayer perceptrons (MLPs), also known as fully connected feedforward neural networks, are the fundamental building blocks of today's deep learning models. The importance of MLPs cannot be overstated, as they are the default method in machine learning for approximating nonlinear functions. But recently, researchers from MIT and other institutions have proposed a very promising alternative method-KAN. This method outperforms MLP in terms of accuracy and interpretability. Moreover, it can outperform MLPs running with much larger parameters with very few parameters. For example, the authors stated that they used KAN to rediscover the mathematical laws in knot theory and reproduce the results of DeepMind with a smaller network and a higher degree of automation. Specifically, DeepMind’s MLP has a large
- AI 1082 2024-05-07 15:19:01
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