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- Artificial Intelligence will close the cybersecurity skills gap
- As we begin to move beyond what GenAI can achieve, a host of real opportunities are emerging to help solve a range of long-standing issues plaguing cybersecurity, particularly skills shortages and unsafe human behavior. This year's top predictions clearly lie outside of technology, as the human element continues to receive more attention. Any CISO looking to build an effective and sustainable cybersecurity program must make this effort a priority. It is expected that by 2028, GenAI adoption will close the small skills gap and 50% of entry-level cybersecurity positions will no longer require specialized education. GenAI enhancements will change the way organizations recruit and train cybersecurity workers with the right competencies and education. Mainstream platforms already provide conversational augmentation
- AI 416 2024-04-08 09:20:03
- The AI era of JS is here!
- Introduction to JS-Torch JS-Torch is a deep learning JavaScript library whose syntax is very similar to PyTorch. It contains a fully functional tensor object (can be used with tracked gradients), deep learning layers and functions, and an automatic differentiation engine. JS-Torch is suitable for deep learning research in JavaScript and provides many convenient tools and functions to accelerate deep learning development. Image PyTorch is an open source deep learning framework developed and maintained by Meta's research team. It provides a rich set of tools and libraries for building and training neural network models. PyTorch is designed to be simple, flexible and easy to use, and its dynamic computation graph features make
- AI 1104 2024-04-08 09:10:11
- Too complete! A review of multimodal deep learning!
- 1. Introduction Our experience of the world is multimodal – we see objects, hear sounds, feel textures, smell and taste. Modality refers to the way a certain condition occurs or is experienced, and when a research question contains multiple modalities, it is characterized as multimodal. For AI to make progress in understanding the world around us, it needs to be able to interpret these multimodal signals simultaneously. For example, images are often associated with tags and textual explanations, and text includes images to express the central idea of the article more clearly. Different modalities have very different statistical properties. These data are called multimodal big data and contain rich multimodal and cross-modal information, posing huge challenges to traditional data fusion methods. In this review, we will introduce
- AI 759 2024-04-08 09:10:02
- How machine learning improves business intelligence
- Machine learning (ML) plays a key role in the continued development of business intelligence (BI). With the advent of ML, enterprises are moving beyond traditional analytics to adopt more sophisticated methods to interpret massive data sets. This article explores the revolution brought about by ML, focusing on the significant shift from pure data analysis to predictive insights and decision-making strategies. Integration of ML in BI Integrating ML into BI tools is not just an upgrade, it is a revolution. Traditional BI systems focus on descriptive analytics, which involves analyzing historical data to understand past behavior. However, ML takes this further by integrating predictive analytics, leveraging already existing data to predict future trends. This step allows the company to more accurately predict future trends, customer behavior and potential risks
- AI 842 2024-04-08 09:07:18
- APISR, a two-dimensional dedicated super-resolution AI model: available online, selected by CVPR
- Animation works such as "Dragon Ball", "Pokémon", "Neon Genesis Evangelion" and other animations that were aired in the last century are part of many people's childhood memories. They have brought us a visual world full of passion, friendship and dreams. trip. At some point, we will suddenly have the urge to revisit these childhood memories, but we may regretfully find that the recognition rate of these childhood memories is very low, and it is impossible to create a good visual experience on a widescreen TV, so that it hinders us. Share these childhood memories with children growing up in a digital world with HD resolution. One way to deal with this kind of vicious competition (and potential market) is for animation companies to produce remakes. This task will be costly in both human and financial terms, but may be worth more than ignoring the problem and losing market share.
- AI 1054 2024-04-07 17:07:09
- Beyond GPT-4, the Stanford team's large model that can be run on mobile phones became popular, with over 2k downloads overnight
- In the process of implementing large models, end-side AI is a very important direction. Recently, Octopusv2, launched by researchers at Stanford University, has become popular and has received great attention from the developer community. The number of downloads of the model exceeded 2k overnight. The 2 billion-parameter Octopusv2 can run on smartphones, cars, PCs, etc., surpassing GPT-4 in terms of accuracy and latency, and reducing context length by 95%. In addition, Octopusv2 is 36 times faster than the Llama7B+RAG solution. Many netizens lamented: The era of device-side AI agents has arrived! Paper: Octopusv2: On-device language model for superagent theory
- AI 1142 2024-04-07 16:19:01
- The future of home security: Emerging technologies and trends
- In the highly dynamic world of technology, home security is a vital aspect. The infusion of digital innovation has completely changed the dynamics of how we interact with our environment while dramatically improving home safety standards. Among these advancements, smart home integration is a shining example of innovation that enables homeowners to easily control their security systems as well as other home automation features. Further analysis of the future of home security reveals that changing technologies and trends are paving the way for a new era of adequacy, adaptability and efficiency. The Future of Home Security: Emerging Technologies and Trends Revealing the Future: Where Technology Meets Security Advances in technology are shaping the future of home security in many ways. These inventions not only improve the quality of protection but also ensure unparalleled convenience at the homeowner's fingertips.
- AI 793 2024-04-07 15:46:07
- How GenAI is changing the way businesses handle data
- The release of the Claude3 series of models in March 2024 and their successful performance in numerous benchmark tests is great news for businesses. It looks like enterprise customers will have access to more high-quality AI and GenAI tools from more vendors in order to evaluate and select the best solution. While the quality and variety of public tools and services increase, it's important to remember that it all starts with data. It’s not just the data used to train the underlying models that power AI and machine learning tools, there are tools for data analysis that uncover hidden patterns and insights. As I explained before, there are some key preparations when it comes to getting your business ready to leverage AI. You can’t have successful AI without a successful data strategy.
- AI 848 2024-04-07 14:58:20
- Sources say Google is considering charging for its AI-based search engine and adding some features to its premium subscription service
- On April 4, the Financial Times quoted three people familiar with Google as saying that Google is considering charging for artificial intelligence-based searches, which is a major change to its business model. Because since 2000, Google's search products have always relied on advertising to make money. Google is reportedly considering keeping standard search (without AI features) free, and it is considering various options, including adding some AI-based search features to its premium subscription service. However, paying users will still see ads in Gemini-powered search results. Although search advertising brought in $175 billion for Google last year, it may still not be enough to cover the increased costs of AI search. According to a Reuters report last year, via Gem
- AI 859 2024-04-07 12:40:09
- Artificial Intelligence Everywhere: Overcoming Adoption Barriers
- Before artificial intelligence becomes more commonplace and necessary, we must remove key barriers to creating ethical, fair, and safe AI systems. Translated from AIEverywhere: Overcoming Barriers to Adoption, author Rahul Pradhan. In the technology application life cycle, artificial intelligence is steadily transitioning from the "early adopter" stage to the "early majority" stage. This shift is marked by the widespread integration of artificial intelligence in various fields. Consumer products are becoming smarter, equipped with AI-driven assistants and recommendation engines; business operations are streamlined through automation tools and AI-powered customer service chatbots, etc.; and specialized areas such as healthcare diagnostics and financial forecasting are becoming more sophisticated.
- AI 318 2024-04-07 11:46:17
- Tips on ten design patterns in engineering
- We can provide details, rules and guidance to elicit more targeted output. By providing detailed details, rules, and guidance, we can enhance a model's performance and influence its output. We can make the prompt words more specific by providing details, rules, and guidance for more accurate output. Design patterns are general, repeatable solutions to common problems. Each design pattern is by no means a complete solution that can be directly applied to a problem, but rather a template or framework that can be used to better build solutions that apply best practices. Design patterns are widely used in the field of object-oriented programming. The veteran coder tried to summarize 10 common design patterns in improvement projects. 1. Persona model The persona model is a model that inputs data into a language model.
- AI 520 2024-04-07 11:43:08
- OpenAI releases new AI fine-tuning tool: 'The vast majority of organizations will develop custom models'
- OpenAI has announced major enhancements to its fine-tuning API, as well as an expansion of its custom model routine. These updates will give developers unprecedented control to fine-tune AI models and provide new ways to build customized models for specific business needs. Since its launch in August 2023, GPT-3.5’s fine-tuning API has become a turning point in combining refined AI models to perform specific tasks. Fine-tuning tools play a vital role in the development of AI models. They allow developers to optimize model performance based on specific data sets and application scenarios. In April 2022, OpenAI released a series of improvements to its fine-tuning API. These improvements not only improve the flexibility and accuracy of the model, but also provide developers with more
- AI 1019 2024-04-07 11:31:08
- After Apple terminated the electric car project, it laid off a large number of employees and bet on home robots. Will this be the Next Big Thing?
- A new way out, can Apple refresh us? Why is it obvious that Apple is under great pressure? Apple's electric car project was canceled in February this year, and they also decided to abandon attempts to produce the next generation screen for the Apple Watch. Both projects were hampered by cost overruns and launch delays. Additionally, it will take years for mixed reality glasses to become a major revenue driver for Apple. Under such circumstances, Apple is facing huge revenue pressure. Source: A few remaining employees of some of Bloomberg’s electric car projects will be transferred to Apple’s production AI projects. Others will have 90 days to find reassignment to other roles within the company or be fired. Internal employees revealed that before cancellation, there were still about 140 projects left on the car project.
- AI 591 2024-04-07 09:10:11
- Which AI programmer is the best? Explore the potential of Devin, Tongyi Lingma and SWE-agent
- On March 3, 2022, less than a month after the birth of the world's first AI programmer Devin, the NLP team of Princeton University developed an open source AI programmer SWE-agent. It leverages the GPT-4 model to automatically resolve issues in GitHub repositories. SWE-agent's performance on the SWE-bench test set is similar to Devin, taking an average of 93 seconds and solving 12.29% of the problems. By interacting with a dedicated terminal, SWE-agent can open and search file contents, use automatic syntax checking, edit specific lines, and write and execute tests. (Note: The above content is a slight adjustment of the original content, but the key information in the original text is retained and does not exceed the specified word limit.) SWE-A
- AI 1215 2024-04-07 09:10:07
- Musk builds big models and poaches senior executives from Tesla
- Otherwise they might jump to OpenAI. Elon Musk, the world's richest man, created xAI. When preparing to compete with OpenAI and Google for large models, he should compete with many technology giants and startups for talent. However, he used some tricks: he hired several outstanding engineers from his own Tesla. Last month, machine learning scientist Ethan Knight became the third Tesla engineer to work on xAI, according to the startup's website. At Tesla, Knight oversaw the computer vision team that oversees Tesla’s self-driving technology, according to a former employee. Before him, some engineers worked on supercomputing, autonomous driving systems and artificial intelligence infrastructure at Tesla.
- AI 474 2024-04-07 09:07:01
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