A naukri.com initiative
AI News
Medium
17h
294
Image Credit: Medium
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.
Read Full Article
17 Likes
Marktechpost
17h
254
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.
Read Full Article
15 Likes
Dynamicbusiness
17h
99
Image Credit: Dynamicbusiness
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.
Read Full Article
5 Likes
Medium
18h
3
Image Credit: Medium
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.
Read Full Article
Like
Medium
18h
221
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.
Read Full Article
13 Likes
Medium
18h
262
Image Credit: Medium
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.
Read Full Article
15 Likes
Medium
18h
121
Image Credit: Medium
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.
Read Full Article
7 Likes
Medium
18h
103
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.
Read Full Article
6 Likes
Medium
18h
55
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.
Read Full Article
3 Likes
Medium
18h
166
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.
Read Full Article
9 Likes
Medium
18h
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.
Read Full Article
Like
Medium
18h
214
Working with Multi-View Diffusion Models part1(Machine Learning )
- A new spatial-temporal consistent diffusion framework called DrivingDiffusion has been proposed.
- DrivingDiffusion generates realistic multi-view videos controlled by a 3D layout.
- The framework ensures cross-view consistency and cross-frame consistency in the synthesized videos.
- DrivingDiffusion can generate large-scale realistic multi-camera driving videos in complex urban scenes.
Read Full Article
12 Likes
Marktechpost
18h
7
This AI Paper from Stanford University Evaluates the Performance of Multimodal Foundation Models Scaling from Few-Shot to Many-Shot-In-Context Learning ICL
- Incorporating demonstrating examples, known as in-context learning (ICL), significantly enhances large language models (LLMs) and large multimodal models (LMMs) without requiring parameter updates.
- Researchers from Stanford conducted experiments to evaluate the performance of advanced multimodal foundation models in many-shot in-context learning (ICL).
- Key findings include the significant performance improvements of Gemini 1.5 Pro compared to GPT-4o, higher data efficiency of Gemini 1.5 Pro, the effectiveness of combining multiple queries into a single request, and the benefits of batched questioning in zero-shot scenarios.
- The study suggests the potential of using large numbers of demonstrating examples to quickly adapt models to new tasks and domains, reducing the need for traditional fine-tuning.
Read Full Article
Like
Medium
18h
358
Working with Modern deep learning part8
- Natural Language Processing (NLP) models have achieved phenomenal success in linguistic and semantic tasks.
- Large models like BERT and GPT have achieved impressive performances but come with high computational costs.
- To address this, transfer learning, pruning, quantization, and knowledge distillation techniques have been used to achieve smaller models with similar performances.
- Knowledge Retrievers and efficient attention mechanisms have been developed to extract data and improve inference.
Read Full Article
21 Likes
Medium
18h
255
Image Credit: Medium
Harnessing AI for Enhanced Customer Insights: Revolutionizing Product Marketing
- AI technologies, such as machine learning (ML) and natural language processing (NLP), are capable of analyzing vast amounts of data and uncovering patterns and trends that are impossible for humans to detect.
- AI enables sophisticated customer segmentation by analyzing demographics, purchasing history, and online behavior, allowing marketers to create highly targeted campaigns that resonate with specific customer segments.
- AI-driven tools such as Google Analytics, IBM Watson, and Salesforce Einstein offer advanced analytics capabilities that can help marketers uncover deep customer insights.
- AI-driven marketing strategies require continuous monitoring and optimization to improve effectiveness.
- Sephora uses AI to enhance customer experiences both online and in-store, leading to a 15% increase in conversion rates.
- Coca-Cola employs AI-driven sentiment analysis to monitor social media conversations about their brand and products, resulting in a 20% increase in positive brand mentions and a 10% boost in sales during the product launch period.
- Spotify utilizes AI to analyze user listening habits and preferences, creating personalized playlists and resulting in a highly engaging and personalized listening experience.
- The future of product marketing lies in hyper-personalization, driven by real-time data analysis and advanced machine learning algorithms.
- Ethical considerations and data privacy will become increasingly important as AI becomes more integrated into marketing strategies.
- AI has the potential to revolutionize product marketing by providing enhanced customer insights that drive more effective and personalized marketing strategies.
Read Full Article
15 Likes
For uninterrupted reading, download the app