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AI News
Medium
14h
131
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How to Bypass Character AI Filter: A Comprehensive Guide
- Character AI filters are algorithms that monitor and regulate AI-generated content.
- Bypassing AI filters can be done using synonyms, obfuscation, contextual diversion, encoding, and multi-language integration.
- Ethical considerations are crucial when bypassing AI filters, including transparency, educational focus, and providing feedback to developers.
- Future AI filters will likely become more sophisticated, employing advanced techniques and adaptive learning.
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Medium
14h
43
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OpenAI Unveils GPT-4o: The Future of AI is Here
- OpenAI has released GPT-4o, an AI model that can understand and generate text, images, and audio.
- Codeium, an AI coding assistant, is gaining popularity as an efficient alternative to Microsoft's Copilot.
- Synthetic data is essential for developing large language models, addressing data privacy concerns.
- Weka secures $140 million in funding, emphasizing the importance of data platforms in supporting AI development.
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Medium
14h
120
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AI Tools for Improving Customer Service Efficiency
- Custom AI solutions are revolutionizing customer service efficiency by automating tasks, analyzing data, and delivering personalized interactions.
- AI chatbots, virtual assistants, and sentiment analysis tools automate routine inquiries and provide round-the-clock support.
- AI-driven UX design personalizes interactions, predicts user behavior, and enhances engagement for tailored experiences.
- AI algorithms analyze customer data to deliver personalized offers, content, and communications for increased customer loyalty.
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Medium
14h
284
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8 Coding Practices for Information Researchers
- Good coding practices are crucial for information researchers, who often collaborate with multiple teams on projects for data analysis and sharing code.
- In this article 8 of the most fundamental coding rehearses are discussed, grounded in research and that will assist you with taking your work to a higher level.
- The central standard is to break programs into functions, naming conventions and style guides are important elements in the code's readability.
- Data science workflows can involve complex and tedious tasks, but tools like Apache Airflow and Prefect can be used to automate these workflows.
- Version control, where Git is the industry standard, enables data scientists to track every change in their code, experiment with different parts of the development, and collaborate seamlessly.
- Testing and documentation are also important aspects of good coding practices for data scientist.
- Python's simplicity and comprehensive libraries, like Pandas and TensorFlow, address most data science requirements, balancing quick development and execution.
- Collaboration in data science is about ensuring that the code processes and analyzing the data are robust and well understood by all team members.
- Code reviews play a crucial role in identifying bugs, improving code readability, and facilitating data transfer within teams.
- Tools such as issue tracking systems (such as Trac or GitHub's included Issues) are essential for maintaining an organized approach to manage tasks, bugs, and features of a project.
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Medium
14h
291
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ChatGPT 4 Omni: A Revolution in Our World?
- ChatGPT 4 Omni aims to be an all-encompassing AI assistant, capable of handling complex queries and providing personalized assistance.
- However, there are concerns regarding biases and misinformation that AI models like ChatGPT 4 Omni may generate.
- Ethical considerations, including job displacement and privacy concerns, need to be addressed in the development and deployment of AI.
- While ChatGPT 4 Omni represents a significant milestone, its impact will depend on responsible and ethical use.
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Marktechpost
15h
251
Planning Architectures for Autonomous Robotics
- Autonomous robotics has seen significant advancements over the years, driven by the need for robots to perform complex tasks in dynamic environments.
- OpenRAVE is an open-source software architecture developed to facilitate the integration and testing of high-level planning algorithms with real-time control systems.
- OpenRAVE provides a seamless interface for 3-D simulation, visualization, planning, scripting, and control.
- Planning architectures like OpenRAVE play a crucial role in advancing the capabilities of autonomous robotics by providing a flexible, open-source framework for integrating planning algorithms with real-time control systems.
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Dynamicbusiness
15h
98
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Photoroom: Ai image editor tool
- Photoroom is a leading AI editor tool that allows business managers to create professional images for free on mobile or desktop.
- Features include background removal, AI background creation, object removal, batch editing, and more.
- Photoroom's advanced AI capabilities make it twice as accurate as other editing applications.
- Photoroom offers a free plan and a Pro plan priced at $89.99 per year with additional features and team collaboration options.
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Medium
15h
3
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AI and Humans Should Co-Exist?
- The rapid growth of AI is reshaping economic, societal, cultural, and human environments.
- AI is becoming a part of our everyday lives, with various applications and advancements.
- AI lacks emotional intelligence and a human touch, but it can be utilized for its strengths.
- Humans possess emotional depth and complexity that sets them apart from machines.
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Medium
15h
219
Working with Multi-View Diffusion Models part7(Machine Learning )
- The paper proposes an approach called Grounded-Dreamer for generating 3D assets based on complex text prompts using a pre-trained multi-view diffusion model.
- The approach leverages text-guided 4-view images and introduces an attention refocusing mechanism to improve text-aligned 4-view image generation.
- A hybrid optimization strategy is also proposed to optimize synergy between the score distillation sampling (SDS) loss and sparse RGB reference images.
- The proposed approach consistently outperforms previous state-of-the-art methods in generating accurate and high-quality compositional 3D assets.
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Medium
15h
259
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Investment organization: why we invested in Ubitex
- Investment organization invested in UbitEx, a significant investment in AI and CEX tracks.
- UbitEx is a strategic investment in the AI era, focusing on AI technology and computing power.
- UbitEx's unique trading style and innovative products attracted a large wave of traffic.
- The investment in UbitEx aligns with the organization's investment value and bullishness on AI and technology space.
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Medium
15h
120
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Proof-of-AI in blockchain technology
- Proof-of-AI (PoAI) is an alternative consensus mechanism to traditional blockchain consensus mechanisms, Proof of Work (PoW) and Proof of Stake (PoS).
- PoAI is based on three algorithms that carry out their work independently to enable blockchain consensus.
- PoAI drives efficiency by removing human interference and establishing the objective of the AI to fulfil its task in the most useful way.
- PoAI runs on block builders, full blockchain nodes that store ready-made blocks of the blockchain and participate in forming and packaging new blocks.
- PoAI chooses transactions that are optimized for affordability and packs blocks as much as possible, reducing the number of users in the system who set a high PointPrice.
- Each block requires a certain volume of Points to be created (known as PointPrice) to align the number of points with the number of coins generated.
- The effectiveness of the ML model depends on the server’s technical resources and the frequency of block assembly.
- PoAI involves AI validators, lite blockchain nodes that store network wallet addresses and color markers.
- Validators admitted to the voting process select the block for the round, and after the voting is completed, the PoAI mechanism selects one from the active AI validators to double-check the collected block before it is placed on the blockchain.
- The reward for participation in PoAI is generated as a native coin, earned by helping to assemble a new block among participants in the consensus process.
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Medium
15h
102
Working with Multi-View Diffusion Models part5(Machine Learning )
- Researchers propose Grounded-Dreamer, a two-stage approach for generating high-fidelity 3D assets.
- The approach utilizes a pre-trained multi-view diffusion model and text-guided 4-view images.
- An attention refocusing mechanism is introduced to align 4-view image generation with the text prompt.
- The method outperforms previous state-of-the-art methods in quality and accuracy of generating 3D assets.
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Medium
15h
54
Working with Multi-View Diffusion Models part4(Machine Learning )
- This paper presents a neural architecture MVDiffusion++ for 3D object reconstruction.
- MVDiffusion++ synthesizes dense and high-resolution views of an object given one or a few images without camera poses.
- MVDiffusion++ achieves superior flexibility and scalability with a pose-free architecture and a view dropout strategy.
- It significantly outperforms the current state of the arts in novel view synthesis and 3D reconstruction.
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Medium
15h
164
Working with Multi-View Diffusion Models part3(Machine Learning )
- The paper proposes DiffPoint, an architecture that combines vision transformers (ViT) and diffusion models for point cloud reconstruction.
- DiffPoint divides noisy point clouds into patches and uses a ViT backbone to predict target points based on input images.
- The architecture achieves state-of-the-art results in both single-view and multi-view reconstruction tasks.
- Additionally, a feature fusion module is introduced to aggregate image features from single or multiple input images.
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Medium
15h
0
Image Credit: Medium
Unlocking future Places: Does AI Really Have a Case in Changing Placemaking?
- Placemaking is about creating a sense of place for people who live there and involves the community in the design process.
- Artificial intelligence (AI) can enhance placemaking by analyzing vast amounts of data to offer insights into people's interactions with their environment.
- AI-informed spaces can feel like home and be more responsive to the community's needs but may include personal data privacy concerns and bias risks.
- AI can be used to enhance public spaces, but it must be guided by the values and needs of the people it serves, including transparency, inclusivity, and ethical considerations.
- A balance must be established between AI's capabilities and human-centered (or post-human) design to shape public space's growth and evolution.
- AI's integration possibilities into placemaking highlight that our success will remain in our communal life and not just the sophistication of technology alone.
- Placemaking has already been successful in working with AI in Barcelona and V Plaza in Lithuania.
- The creation of better public spaces will remain an endless algorithm, continuously fueled by our stories, feedback, and growth.
- The delicate line that remains will be to understand that humanity's stories around spaces must remain integral to our identity.
- AI presents an opportunity to continuously build smarter public spaces that reflect the diversity and rhythms of human life.
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