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- AI weaponization becomes a hot topic on underground forums
- According to conventional wisdom, a drive-driven attack is defined as the automatic download of malicious files from a compromised website without user interaction. However, in the majority of cases reviewed during the reporting period, user action was involved - facilitating initial access in more than 30% of incidents. Threat actors use AI to automate attacks The use of artificial intelligence to accelerate these attacks is receiving increasing attention on major cybercrime forums, and interest in weaponizing the technology is growing. Researchers discovered criminal alternatives to mainstream chatbots, such as FraudGPT and WormGPT, in the specialized AI and machine learning sections of these websites, and suggested the use of these options to develop simple malware and distributed denial-of-service (DDoS) queries. AI systems are now available
- AI 1036 2024-03-29 22:26:10
- The first post since the boss left! Stability official code model Stable Code Instruct 3B
- After the boss left, the first model arrived! Just today, StabilityAI officially announced the new code model StableCodeInstruct3B. Picture stability is very important. The departure of the CEO has caused some troubles to StableDiffusion. There is something wrong with the investment company, and there may also be problems with your salary. However, the wind and rain outside the building are turbulent, but the laboratory remains motionless. Research should be done, discussions should be carried out, and models should be adjusted. The war in various fields of the large model is in decline. Not only is it spreading its stall to engage in all-out war, but every research is also making continuous progress. For example, today's StableCodeInstruct3B was built on the previous StableCo
- AI 654 2024-03-29 22:16:16
- How edge computing is revolutionized with liquid immersion cooling and AIML integration
- In today's rapidly evolving technology environment, the convergence of artificial intelligence (AI) and machine learning (ML) with edge computing is reshaping the way we process data. Edge computing involves decentralized processing closer to the data source, enabling real-time analysis and response. However, as artificial intelligence and machine learning applications proliferate, so does the need for edge processing power, leading to increased heat generation and cooling challenges. To address these issues, integrating liquid immersion cooling technology at the network edge has become a game-changer. Liquid immersion cooling requires immersing hardware components such as processors and memory modules in a dielectric liquid to effectively dissipate heat. This approach provides a compelling alternative to traditional air cooling, especially in edge computing scenarios where space is limited. AI and machines
- AI 935 2024-03-29 16:36:48
- Mamba's super evolved form subverts Transformer in one fell swoop! Single A100 running 140K context
- The Mamba architecture, which previously detonated the AI circle, has launched a super variant today! Artificial intelligence unicorn AI21Labs has just open sourced Jamba, the world’s first production-grade Mamba large model! Jamba performs well in multiple benchmark tests and is on par with some of the strongest open source Transformers currently. Especially when comparing Mixtral8x7B, which has the best performance and is also a MoE architecture, there are also winners and losers. Specifically, it is the first production-grade Mamba model based on the new SSM-Transformer hybrid architecture. Compared with Mixtral8x7B, the long text processing throughput has been increased by 3 times, and a 256K ultra-long context window has been achieved. It is the only model of the same scale.
- AI 686 2024-03-29 15:11:18
- Sun Lei, deputy general manager of Immediate Consumption: Artificial intelligence has been applied to all areas of the company's business and has become the cornerstone of development
- On March 28, the "Financial New Quality Productivity Innovation Forum Driven by Big Models and the Release of the Country's First "Financial Big Model"" jointly organized by Masha Consumption, China Science and Technology Press, and the financial industry was held in Beijing. This conference gathered more than 300 academic leaders such as Jiang Changjun, Sun Maosong, and Zeng Gang, as well as senior executives from financial institutions and important enterprises in the industrial chain. The guests at the meeting had in-depth exchanges on the application and empowerment of large models in the financial field, and conducted in-depth and effective discussions on the development and construction of new financial productivity. In the context of leader resignation, Sun Lei, deputy general manager of Immediate Consumption, said that in recent years, the financial industry has made a lot of efforts in using artificial intelligence. As a technology-driven digital financial institution, Immediate Consumption has applied artificial intelligence to business development.
- AI 1140 2024-03-29 09:21:18
- Watch videos, draw CAD, and recognize motion imagery! 75B's large multi-modal industrial model is so capable
- The focus of this year’s upgrade is the introduction of multi-modal large model capabilities. When the video and music works created by Sora and Suno cause an audio-visual revolution around the world, how will large-scale multi-modal applications in the industrial field evolve? On March 27, as China's leading "AI+ manufacturing" solution provider, Innovation Qizhi unveiled their forward-looking answer. After half a year of hard work, Innovation Qizhi released the more powerful version 2.0 of Qizhi Haiming Industrial Large Model (AInno-75B) at a press conference held in Beijing. Several large-model native applications also made their debut, including ChatVision and ChatCAD, and ChatRobot was also upgraded to the Pro version. Innovation Qizhi CTO Zhang Faen at the Scali press conference
- AI 305 2024-03-28 22:01:21
- The AI text generator market will reach $1 billion by 2028
- Process Automation Needs: In an era of efficiency, businesses across all industries are increasingly turning to artificial intelligence text generators to streamline operations. The automation capabilities provided by these systems not only save time and resources but also reduce the risk of human error. Especially among content generators, AI text generators are invaluable assets that effortlessly generate reviews and sales copy with unparalleled speed and accuracy. Cross-Industry Applications: The versatility of the AI text generator is limitless, transcending industry barriers and catering to countless verticals. From finance to healthcare, education to hospitality, organizations are leveraging these tools to produce training datasets, streamline communications and optimize workflows. Whether generating medical reports or drafting legal documents
- AI 589 2024-03-28 17:52:22
- How to use logistics artificial intelligence to achieve intelligent transportation
- Driven by the continuous development of artificial intelligence (AI), the global logistics industry is undergoing a major transformation. Artificial intelligence, defined as the ability of machines to imitate human intelligence, is fundamentally reshaping the logistics landscape. Artificial intelligence is crucial in logistics because of its ability to process large amounts of data, make informed decisions and predict outcomes. Artificial intelligence helps logistics automate and streamline processes, enhance customer experience, and improve the overall efficiency of supply chain systems. Early adopters of effective implementation of AI supply chain management have made impressive progress. These include a 15% reduction in logistics costs, a 35% optimization of inventory levels and a significant 65% improvement in service levels, outperforming slower-moving competitors. By examining the following specific use cases and analyzing their impact, this article aims to shed light on the benefits of artificial intelligence for logistics
- AI 1057 2024-03-28 17:46:42
- Tied for first place with GPT-4, the LMSYS benchmark shows that the Claude-3 model performs well
- According to news on March 28, according to the latest benchmark report released by LMSYSOrg, Claude-3's score surpassed GPT-4 by a slight margin and became the "best" large language model on the platform. This website first introduces LMSYSOrg, which is a research organization jointly created by the University of California, Berkeley, the University of California, San Diego, and Carnegie Mellon University. The system launches ChatbotArena, a benchmark platform for large language models (LLM) that uses crowdsourcing to anonymously and randomly test large model products. Its ratings are based on the Elo scoring system widely used in competitive games such as chess. Through the scoring results generated by user voting, the system will randomly select two different large model machines each time
- AI 418 2024-03-28 17:26:43
- CVPR 2024｜Can't generate images with extremely strong light? WeChat Vision Team effectively solves the singularity problem of diffusion model
- Diffusion models usher in a new era of generative models with their excellent performance in image generation. Large models such as StableDiffusion, DALLE, Imagen, SORA, etc. have sprung up, further enriching the application prospects of generative AI. However, current diffusion models are not theoretically perfect, and few studies have paid attention to the problem of undefined singularities at the endpoints of sampling time. In addition, the average gray level caused by the singularity problem in the application and other problems that affect the quality of the generated image have not been solved. In order to solve this problem, the WeChat vision team collaborated with Sun Yat-sen University to jointly explore the singularity problem in the diffusion model and proposed a plug-and-play method that effectively solved the sampling problem at the initial moment. this method
- AI 1004 2024-03-28 15:47:12
- An AI video can be generated from just one picture! Google's new diffusion model makes characters move
- With just a photo and a piece of audio, you can directly generate a video of the character talking! Recently, researchers from Google released the multi-modal diffusion model VLOGGER, taking us one step closer to virtual digital humans. Paper address: https://enriccorona.github.io/vlogger/paper.pdfVlogger can collect a single input image, use text or audio driver, and generate a video of human speech, including mouth shapes, expressions, body movements, etc., which are very natural. Let’s look at a few examples first: If you feel that using someone else’s voice in the video is a bit inconsistent, the editor will help you turn off the sound: it can be seen that the entire generated effect is very elegant and natural. VLOGGER Create
- AI 555 2024-03-28 15:40:16
- AI beauty advertisements make it difficult to distinguish between real and fake! Blogger forced to record video to prove himself: It's really AI
- incredible! Nowadays, AI-generated videos have evolved to the point where people don’t believe they were generated by AI. (This is really not a matryoshka doll.) Recently, a short video advertisement has caused heated discussion on the Internet. The host in the video passionately recommends the product, and the expression is contagious, which deeply attracts the audience. As a result, the blogger accidentally sighed: "Family, this is generated by AI, it's so crazy." It instantly caused an uproar. Netizens: wait.IsthisAI? ? ? ? In desperation, the blogger was forced to record a video to prove himself. It’s so lifelike that it’s unbelievable. Let’s take a look at it. Can you believe it was generated by AI? , duration 00:45, whether it is mouth shape or movements, it perfectly matches what she said. Some netizens also cueed Douyin (doge). Netizen’s
- AI 556 2024-03-28 15:24:10
- How is education GPT created?
- In January 2024, OpenAI officially announced that GPTs (mall) was officially launched. Therefore, the threshold for programmers has been lowered again. As long as there is enough creativity and imagination, the era has come when everyone can create a GPT tool based on their own professional knowledge. The use of GPTs to conduct research on online education categories has risen rapidly and has become a popular category recommended by officials. In this category, the top ones on the hot list are mathematics GPT, physics GPT, language teaching GPT, video summary GPT, data analysis GPT, and comprehensive GPT in various disciplines. Among them, there is even a GPT that teaches you how to write prompt words. Judging from the top 12 GPT products in the education category, mathematics problem solving and language teaching are the two largest.
- AI 780 2024-03-28 15:17:03
- Can't generate a picture with extremely strong light? WeChat Vision Team effectively solves the singularity problem of diffusion model
- Diffusion models play a role in color representation in image generation, driving a new era of generative models. Large models such as StableDiffusion, DALLE, Imagen, and SORA have sprung up, further enriching the application background of generative AI. However, current diffusion models are not perfect in theory, and few studies have paid attention to the problem of undefined singularities at the endpoints of the sampling period. In addition, the average gray level caused by the singularity problem in the application and other problems that affect the quality of the generated image have not been solved. In order to solve this problem, the WeChat vision team collaborated with Sun Yat-sen University to jointly explore the singularity problem in the diffusion model and proposed a plug-and-play method that effectively solved the sampling problem at the initial moment.
- AI 761 2024-03-28 15:06:30
- Key industries that could run on artificial intelligence by 2030
- Artificial intelligence (AI) continues to develop rapidly in various fields, and its applications in various fields are becoming increasingly obvious. It is expected that by 2030, the field of artificial intelligence will revolutionize many industries, change the way enterprises operate, and improve efficiency, productivity and innovation. This article will explore some of the top industries poised to harness the power of artificial intelligence over the next decade. Healthcare: By 2030, the healthcare industry will benefit significantly from AI-driven technologies. AI-powered diagnostic tools can analyze medical images, such as X-rays and MRI scans, with greater accuracy and speed than human radiologists, allowing for earlier detection of disease and improved patient outcomes. Additionally, AI algorithms can help healthcare providers formulate prescriptions based on a patient’s genetic profile and medical history
- AI 594 2024-03-28 14:58:42
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