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- Eight stark realities of the skills gap in the era of industrial automation
- The Industry 4.0 skills gap is becoming increasingly apparent as industrial automation takes center stage in today's economy, revolutionizing the way products are produced and services are delivered. With the integration of artificial intelligence, robotics and the Internet of Things, this technological leap optimizes efficiency and reshapes the job market. In an industrial automation environment where businesses and workers continue to evolve, skills and navigation of these advanced systems are becoming increasingly common. A key challenge emerges – the huge gap between existing skills and the advanced capabilities needed to navigate this new era. To address this skills gap, there is a huge gap between the skills of existing members and the advanced capabilities needed to navigate this new era. To address this skills gap, businesses and workers need to continue to learn and adapt to ensure they thrive in this changing world.
- AI 1035 2024-04-09 18:16:15
- Peking University's most powerful open source aiXcoder-7B code model! Focus on real development scenarios and designed for enterprise private deployment
- Judging from the latest developments in the technology circle, the concept of AI code generation has become very popular recently. However, friends, do you feel that AI programming questions are more eye-catching, but when it comes to real enterprise development scenarios, you always feel that it is not enough? At this time, a low-key senior player aiXcoder took action and released a big move: it is a new open source code model-aiXcoder-7BBase version, a code model specifically suitable for deployment in enterprise software development scenarios. Wait, what kind of AI programming level can a large code model with "only" 7 billion parameters show? Let’s first take a look at its performance on the three mainstream evaluation sets of HumanEval, MBPP and MultiPL-E. Its average score actually exceeds that of Co with 34 billion parameters.
- AI 1174 2024-04-09 18:10:02
- CVPR 2024 | Segmentation of all models has poor generalization ability of SAM? Domain adaptation strategy solved
- The first domain adaptation strategy for the "SegmentAnything" large model is here! Related papers have been accepted by CVPR2024. Introduction The success of large language models (LLMs) has stimulated interest in exploring basic models for segmentation in the field of computer vision. These basic segmentation models usually perform zero/few image segmentation through PromptEngineer. Among them, SegmentAnythingModel (SAM) is the most advanced basic model for image segmentation. Graph SAM performs poorly on multiple downstream tasks, but recent research shows that SAM is not very robust and generalizable in a variety of downstream tasks, such as medical images, camouflaged objects, and natural images with added interference. etc.
- AI 389 2024-04-09 16:55:11
- Yang Diyi's new work: The society may be saved. AI large models chat one-on-one and help i people become e people.
- In social activities, large language models can be either your partners or your mentors. In human social activities, in order to communicate more effectively with others in work and life, certain social skills are required, such as conflict resolution. However, environments in which social skills can be practiced are often out of reach for most people. Training these skills, especially by experts, is often time-consuming, costly, and of limited availability. Existing practice and feedback mechanisms rely heavily on expert supervision, making training difficult to scale. Additionally, there is a shortage of professionally trained coaches, and most coaches who can provide customized feedback fail to help large numbers of people in need. Recently, in a paper co-authored by Stanford Assistant Professor Yang Diyi
- AI 1140 2024-04-09 16:49:01
- The 2024 WAIC·Yunfan Award sets sail: kicking off the AGI era and gathering explorers who transcend boundaries
- The 2024 WAIC Yunfan Award seeks young AI technical talents from around the world. You are welcome to click "this link" to register or nominate. The research paradigm and industrial landscape of artificial intelligence are undergoing profound and positive changes. In the past year, large models have triggered a wave of intelligence sweeping the world, which not only promoted the application of AI technology in a wider range of fields, but also inspired mankind to pursue and explore the deep potential of artificial intelligence. In this torrent of technological innovation, general artificial intelligence (AGI) is gradually moving from fantasy to reality. We are at the beginning of a new journey, one that will be characterized by humanity’s relentless pursuit of general intelligence. To welcome the coming new era, let us turn our attention to those young innovators who are full of passion and have the courage to explore. With their outstanding
- AI 916 2024-04-09 16:01:01
- Break the curse 36 years ago! Meta launches reverse training method to eliminate the 'reversal curse' of large models
- The "reversal curse" of large language models has been solved! This curse was first discovered in September last year, which immediately caused exclamations from LeCun, Karpathy, Marcus and other big guys. Because the unparalleled and arrogant large model actually has an "Achilles heel": a language model trained on "A is B" cannot correctly answer "Is B A?" For example, the following example: LLM clearly knows that "Tom Cruise's mother is Mary Lee Pfeiffer", but cannot answer "Mary Lee Pfeiffer's child is Tom Cruise". ——This was the most advanced GPT-4 at the time. As a result, even children could have normal logical thinking, but LLM could not do it. based on
- AI 527 2024-04-09 15:40:09
- Can AI conquer Fermat's last theorem? Mathematician gave up 5 years of his career to turn 100 pages of proof into code
- Fermat's last theorem, about to be conquered by AI? And the most meaningful part of the whole thing is that Fermat’s Last Theorem, which AI is about to solve, is precisely to prove that AI is useless. Once upon a time, mathematics belonged to the realm of pure human intelligence; now, this territory is being deciphered and trampled by advanced algorithms. Image Fermat's Last Theorem is a "notorious" puzzle that has puzzled mathematicians for centuries. It was proven in 1993, and now mathematicians have a big plan: to recreate the proof using computers. They hope that any logical errors in this version of the proof can be checked by a computer. Project address: https://github.com/riccardobrasca/flt
- AI 340 2024-04-09 15:20:02
- Cloudera announces new vice president of Greater China
- Beijing, China, April 9, 2024 - Cloudera, an enterprise big data and artificial intelligence platform company, today announced the appointment of a new vice president of Greater China. This move aims to further focus on customer success and business transformation, and help enterprises adapt to the development of big data and artificial intelligence applications and accelerate the digital transformation process by providing hybrid multi-cloud big data and big model capabilities. Cloudera now appoints Mr. Liu Fuchun as Vice President (RVP) of Greater China. He will be responsible for promoting Cloudera's further expansion in China and leading strategic sales, channel development and localization strategy. The appointment of Liu Fuchun, Vice President of Cloudera Greater China, as a new executive further demonstrates Cloudera’s commitment to
- AI 533 2024-04-09 15:07:10
- Solve the problem of AI interface calling and make e-commerce smarter!
- Introduction Dear Xiaomi fans, hello everyone! With the advancement of the times, artificial intelligence (AI) technology is developing at an unprecedented speed and scale, and it has profoundly changed the way we live and work. In this exciting moment, our company is also actively following the pace of the times, constantly exploring and innovating, and striving to achieve integration with AI technology to enhance the intelligence level of our e-commerce services. The development of artificial intelligence has brought many opportunities to achieve more efficient production and services, and to provide a more personalized and accurate user experience. We are actively investing in research, development and application of AI technology to enhance the intelligence level of our e-commerce services. By introducing AI technology, we can better understand user needs, provide better recommendations and services, and achieve more efficiency
- AI 509 2024-04-09 14:34:06
- Will GenAI destroy UiPath's success story?
- Initially, companies turned to more accessible labor to improve efficiency – think John in Mumbai and Rosie in Manila – then they realized that the process-based approach of Mumbai’s back-office operations was well suited to automation, and Robotic Process Automation (RPA) was born , now digital agents are encroaching on back offices and chatbots are watching Rosie in Manila work, and as a result, everything is better, faster, and more convenient, and then, along comes GenAI. UiPath, RPA, and GenAI. Not only do we give them a thumbs up because our sponsors pay for it, these guys are not only good looking, but they also ask some great questions. For example, many people ask GenAI if it is outdated for the solution. These questions behind
- AI 1235 2024-04-09 14:31:24
- Low-cost algorithm greatly improves the robustness of visual classification! University of Sydney Chinese team releases new EdgeNet method
- In deep neural networks (DNNs), excellent accuracy has been demonstrated. However, they show vulnerability to additional noise, i.e., adversarial attacks. Previous research hypothesized that this vulnerability may stem from the over-reliance of high-accuracy DNNs on insignificant and unrestricted features such as texture and background. However, new research reveals that this vulnerability has nothing to do with the specific characteristics of highly accurate DNNs overly trusting irrelevant factors such as their weights and context. At the recent AAAI2024 academic conference, researchers from the University of Sydney revealed that "edge information extracted from images can provide highly relevant and robust features related to shape and background." Paper link: https://ojs.aaai.org/index.php
- AI 372 2024-04-09 13:40:11
- The Governance Revolution of 2024: Big Data and GenAI
- Characterized by large amounts of structured and unstructured information, Big Data provides governments with unprecedented insights into all aspects of public administration, from healthcare and education to transportation and urban planning. Through advanced data analytics, governments can identify trends, patterns and correlations in massive data sets to develop evidence-based policies and strategies. The rapid growth and complexity of big data poses significant challenges to traditional analysis methods. Powered by machine learning and deep learning technologies, GenAI algorithms excel at processing and synthesizing large data sets, extracting valuable insights, and generating predictive models. Governments can use machine learning algorithms to improve governance efficiency through predictive analytics. By analyzing historical data and leveraging machine learning algorithms, governments can predict future trends
- AI 371 2024-04-09 12:34:24
- AI subverts mathematical research! Fields Medal winner and Chinese-American mathematician led 11 top-ranked papers | Liked by Terence Tao
- AI is indeed changing mathematics. Recently, Tao Zhexuan, who has been paying close attention to this issue, forwarded the latest issue of "Bulletin of the American Mathematical Society" (Bulletin of the American Mathematical Society). Focusing on the topic "Will machines change mathematics?", many mathematicians expressed their opinions. The whole process was full of sparks, hardcore and exciting. The author has a strong lineup, including Fields Medal winner Akshay Venkatesh, Chinese mathematician Zheng Lejun, NYU computer scientist Ernest Davis and many other well-known scholars in the industry. The world of AI has changed dramatically. You know, many of these articles were submitted a year ago.
- AI 552 2024-04-09 11:52:07
- How important is artificial intelligence in industrial applications?
- Many manufacturers are applying sophisticated analytics and artificial intelligence to their IoT data to monitor operations, improve efficiency, and make informed decisions in real time. Why does the Internet of Things deserve so much attention? That's because IoT applications are booming in consumer, commercial, and industrial markets. Many studies have estimated the number of IoT devices currently deployed. In 2024, the number of connected IoT devices will be approximately 17 billion. This number is expected to at least triple by 2030. These numbers include all connected IoT devices, such as those found in industrial and consumer products. There are currently nearly a dozen vertical industries with more than 100 million connected IoT devices. These industries include electric power, natural gas, water supply, retail, government, and more. A past market study found that among these
- AI 717 2024-04-09 09:10:06
- Discuss the development trends of artificial intelligence in 2030
- 1. Human-level artificial intelligence capabilities By 2030, artificial intelligence is expected to reach human intelligence levels, which is a huge leap in the field. This milestone will bring unprecedented opportunities for artificial intelligence systems to perform tasks at cognitive levels comparable to humans. Industries will demonstrate AI-driven decision-making, problem-solving, and creativity, resulting in significant improvements in productivity and efficiency. 2. Cooperation between artificial intelligence and humans By 2030, the synergy between artificial intelligence and humans is expected to reach new heights, changing the way we work and interact with technology. Artificial intelligence will transcend mere tools and become personal assistants, mentors, therapists, and even representatives. This collaboration will enhance human capabilities, foster innovation, and advance health care
- AI 636 2024-04-09 09:01:16
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