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  • Build a generative AI innovation security system, Amazon's chief security officer teaches you three tips
    Build a generative AI innovation security system, Amazon's chief security officer teaches you three tips
    Amazon Cloud Technology has millions of customers around the world and tracks billions of events every day, allowing Amazon Cloud Technology to detect more security threats. In 2019, Amazon Cloud Technology Chief Security Officer Steve Schmidt officially announced the launch of Amazon Cloud Technology re:Inforce, the first conference focusing on cloud security issues. The conference has now been held for five times and has become a benchmark for cloud security. In 2010, Steve Schmidt joined Amazon and served as the chief information security officer of Amazon Cloud Technology for 12 years. He has served as the chief security officer of Amazon since 2022. Recently, he was interviewed by The Wall Street Journal about enterprise security in the age of generative AI. SteveSchmidt said the security team
    AI 482 2024-04-17 18:40:02
  • nuScenes' latest SOTA | SparseAD: Sparse query helps efficient end-to-end autonomous driving!
    nuScenes' latest SOTA | SparseAD: Sparse query helps efficient end-to-end autonomous driving!
    Written in front & starting point The end-to-end paradigm uses a unified framework to achieve multi-tasking in autonomous driving systems. Despite the simplicity and clarity of this paradigm, the performance of end-to-end autonomous driving methods on subtasks still lags far behind single-task methods. At the same time, the dense bird's-eye view (BEV) features widely used in previous end-to-end methods make it difficult to scale to more modalities or tasks. A sparse search-centric end-to-end autonomous driving paradigm (SparseAD) is proposed here, in which sparse search fully represents the entire driving scenario, including space, time, and tasks, without any dense BEV representation. Specifically, a unified sparse architecture is designed for task awareness including detection, tracking, and online mapping. In addition, heavy
    AI 751 2024-04-17 18:22:16
  • Tsinghua team launches new platform: using decentralized AI to break computing power shortage
    Tsinghua team launches new platform: using decentralized AI to break computing power shortage
    Recently, a piece of data points out the astonishing growth in the demand for computing power in the AI ​​field - according to estimates by industry experts, the Sora launched by OpenAI requires approximately 4,200-10,500 NVIDIA H100s for one month of training, and when the model is generated After the inference stage, the computational cost will quickly exceed the training stage. If this trend continues, it may be difficult for GPU supply to meet the continued demand for large models. However, there has been a new trend overseas recently, which may provide new solutions to the upcoming "computing power shortage" - decentralized AI. Three weeks ago, on March 23, StabilityAI suddenly issued an announcement announcing the resignation of company CEO Emad Mostaque. EmadMo
    AI 664 2024-04-17 18:16:14
  • Generative AI brings real-time supply chains closer to reality
    Generative AI brings real-time supply chains closer to reality
    Generative artificial intelligence is affecting or expected to affect many industries, and the time for supply chain network transformation is ripe. Generative AI promises to significantly facilitate real-time interactions and information in the supply chain, from planning to procurement, manufacturing and fulfillment. The impact on productivity of all these processes is significant. A new study from Accenture calculates that all working hours of end-to-end supply chain activities of more than 40% of enterprises (43%) may be affected by production artificial intelligence. In addition, 29% of the working time in the entire supply chain can be automated through production AI, while 14% of the working time in the entire supply chain can be significantly increased through production AI. This emerging technology has the potential to impact the entire supply chain, from design and planning, to sourcing and manufacturing, to fulfillment.
    AI 1199 2024-04-17 17:25:01
  • Green Revolution: How IoT and AI are paving the way for a sustainable future
    Green Revolution: How IoT and AI are paving the way for a sustainable future
    Amid all the worry and pessimism about how artificial intelligence (AI) and the Internet of Things (IoT) are reducing our workforce and infringing on our physical security, we need to take a moment to recognize some of the special things these particular technologies are bringing to the table. situation. Leveraging IoT and AI for Environmental Sustainability The integration of AI and IoT into our daily lives and industrial processes brings significant environmental benefits. Here are some of the ways these technologies are having a positive impact on the environment: Energy efficiency optimization networks enable smarter grids and meters, allowing for more efficient energy distribution and consumption. Artificial intelligence algorithms can predict peak times and adjust energy flow to reduce waste. In buildings, AI-driven smart air conditioning systems analyze weather forecasts
    AI 1163 2024-04-17 16:40:01
  • Google takes action to rectify the 'amnesia' of large models! The feedback attention mechanism helps you 'update' the context, and the era of unlimited memory for large models is coming.
    Google takes action to rectify the 'amnesia' of large models! The feedback attention mechanism helps you 'update' the context, and the era of unlimited memory for large models is coming.
    Editor | Produced by Yifeng | 51CTO Technology Stack (WeChat ID: blog51cto) Google finally takes action! We will no longer suffer from the "amnesia" of large models. TransformerFAM was born, promising to give large models unlimited memory! Without further ado, let’s take a look at the “efficacy” of TransformerFAM: the performance of large image models has been significantly improved when handling long context tasks! In the figure above, tasks such as Isabelle and NarrativeQA require the model to understand and process a large amount of contextual information and give accurate answers or summaries to specific questions. The model with the FAM configuration outperformed all other BSWA configurations in all tasks and was able to see that beyond a certain point,
    AI 498 2024-04-17 15:40:01
  • Create Agent in one sentence! Robin Li: The era is coming when everyone is a developer
    Create Agent in one sentence! Robin Li: The era is coming when everyone is a developer
    The big model subverts everything, and finally got to the head of this editor. It is also an Agent that was created in just one sentence. Like this, give him an article, and in less than 1 second, fresh title suggestions will come out. Compared to me, this efficiency can only be said to be as fast as lightning and as slow as a sloth... What's even more incredible is that creating this Agent really only takes a few minutes. Prompt belongs to Aunt Jiang: And if you also want to experience this subversive feeling, now, based on the new Wenxin intelligent agent platform launched by Baidu, everyone can create their own intelligent assistant for free. You can use search engines, smart hardware platforms, speech recognition, maps, cars and other Baidu mobile ecological channels to let more people use your creativity! Robin Li himself
    AI 1129 2024-04-17 14:28:01
  • How LLM enhances the decision-making process
    How LLM enhances the decision-making process
    The digital age is changing the decision-making process as technological capabilities become increasingly important. Large Language Models (LLM) are a noteworthy technology praised for their ability to enable better decision-making in various domains. But to what extent can LLM enhance the decision-making process? If so, how? Learn about LLM Recent natural language processing systems, such as OpenAI’s GPT series and Google’s BERT, are very complex artificial intelligence programs that It is trained on a large text database. These models can understand and output human-like text, which is a big advantage for use in natural language processing. One of the main advantages of information synthesis LLM is that such machines can quickly and flawlessly process large
    AI 1076 2024-04-17 13:10:11
  • AI helps brain-computer interface research, New York University's breakthrough neural speech decoding technology, published in Nature sub-journal
    AI helps brain-computer interface research, New York University's breakthrough neural speech decoding technology, published in Nature sub-journal
    Author | Editor Chen Xupeng | ScienceAI Aphasia due to defects in the nervous system can lead to serious life disabilities, and it may limit people's professional and social lives. In recent years, the rapid development of deep learning and brain-computer interface (BCI) technology has provided the feasibility of developing neurospeech prostheses that can help aphasic people communicate. However, speech decoding of neural signals faces challenges. Recently, researchers from VideoLab and FlinkerLab at the University of Jordan have developed a new type of differentiable speech synthesizer that can use a lightweight convolutional neural network to encode speech into a series of interpretable speech parameters (such as pitch, loudness, formant frequency, etc.), and synthesize these parameters into speech through a differentiable neural network. this synthesizer
    AI 1257 2024-04-17 08:40:05
  • Gartner: Generative AI will drive the transformation of Chinese enterprise data center design
    Gartner: Generative AI will drive the transformation of Chinese enterprise data center design
    According to news on April 15, 2024, a 2024 CIO and technology executive survey recently released by Gartner shows that more than 60% of Chinese companies plan to deploy generative artificial intelligence (GenAI) in the next 12 to 24 months. Since Chinese companies tend to deploy GenAI locally rather than through the public cloud, the current infrastructure environment cannot support GenAI projects. This will promote the design transformation of Chinese enterprise data centers. Zhang Lukeng, research director at Gartner, said: "Due to security and data privacy concerns and regulatory requirements, some enterprises prefer to deploy GenAl solutions or fine-tune large language models (LLM) on-premises. Deploying GenAl on-premises is important for data centers not just
    AI 1317 2024-04-16 22:41:06
  • Sora joins the Adobe family bucket, and the video is modified to include pictures and scenes: PR update preview
    Sora joins the Adobe family bucket, and the video is modified to include pictures and scenes: PR update preview
    This is the video editing tool for the age of generative AI. Adobe will soon have the most advanced generative AI video creation capabilities. Today, Adobe announced an update plan for a new version of Premiere Pro. This includes adding plug-ins for third-party AI video generation models, whether it is OpenAI's Sora or Runway's Gen-2 and Pika, which will soon appear in the Adobe tool system and be used by people. Now, based on the capabilities of Adobe's own large model Firefly, you can add or subtract content directly on the video material. Shots that feel less background-focused during transitions? Now just use OpenAI's Sora to automatically generate a paragraph. Sora can
    AI 781 2024-04-16 21:43:21
  • DeepMind upgrades Transformer, forward pass FLOPs can be reduced by up to half
    DeepMind upgrades Transformer, forward pass FLOPs can be reduced by up to half
    Introducing hybrid depth, DeepMind's new design can greatly improve Transformer efficiency. The importance of Transformer goes without saying. There are currently many research teams working on improving this revolutionary technology. One of the important improvement directions is to improve the efficiency of Transformer, such as giving it adaptive computing capabilities, which can save unnecessary time. calculate. As Illiya Polosukhin, one of the proposers of the Transformer architecture and co-founder of NEARProtocol, said in a conversation with Jen-Hsun Huang not long ago: "Adaptive computing is what must appear next. We have to pay attention to how much calculations are spent on specific problems. resource."
    AI 1150 2024-04-16 20:10:37
  • Tsinghua's latest! RoadBEV: How to achieve road surface reconstruction under BEV?
    Tsinghua's latest! RoadBEV: How to achieve road surface reconstruction under BEV?
    Original title: RoadBEV: RoadSurfaceReconstructioninBird'sEyeView Paper link: https://arxiv.org/pdf/2404.06605.pdf Code link: https://github.com/ztsrxh/RoadBEV Author affiliation: Tsinghua University, University of California, Berkeley Paper idea: Road surface conditions, especially geometric contours, greatly affect the driving capabilities of autonomous vehicles. Vision-based online road reconstruction is expected to capture road information in advance. Existing solutions such as monocular depth estimation and stereo vision estimation have their limitations. Nearest Bird's Eye View (BEV
    AI 696 2024-04-16 19:55:24
  • Extremely long sequences, extremely fast: LASP sequence parallelism for a new generation of efficient large language models
    Extremely long sequences, extremely fast: LASP sequence parallelism for a new generation of efficient large language models
    The AIxiv column is a column where this site publishes academic and technical content. In the past few years, the AIxiv column of this site has received more than 2,000 reports, covering top laboratories from major universities and companies around the world, effectively promoting academic exchanges and dissemination. If you have excellent work that you want to share, please feel free to contribute or contact us for reporting. Submission email: liyazhou@jiqizhixin.com; zhaoyunfeng@jiqizhixin.com. From the top international GPT-4128K and Claude200K to the domestic KimiChat that supports more than 2 million words of text, large language models (LLM) have invariably become popular in long context technology. When the world's most
    AI 1246 2024-04-16 18:49:01
  • Sora comes to Adobe video editing software! The new version of Premiere Pro opens the era of AI editing
    Sora comes to Adobe video editing software! The new version of Premiere Pro opens the era of AI editing
    Sora is going to be integrated into Adobe video editing software. In the newly released PremierPro concept demonstration, Adobe showed the results of its cooperation with OpenAI: in addition to the main lens, a B-roll auxiliary lens was completely generated by Sora. In addition to Sora, other popular AI video tools Runway and Pika will also be available as options. Runway is used similarly to Sora in the demonstration and can generate a new auxiliary shot. Pika can naturally extend existing lenses for several seconds. It should be emphasized that these features are still in the early preview and research stage, and it has not yet been revealed when they will be released. In comparison, Adobe’s own AI product Firefly
    AI 533 2024-04-16 15:20:01

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