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Pages
Posts
Quantum Computing Explained: The Future of Supercomputing
Published:
🧑‍💻 What is Quantum Computing?
GraphRAG: Enhancing Accuracy and Insights in Retrieval-Augmented Generation
Published:
🔎 Imagine you’re running a healthcare support line.
Patients and providers call in with complex multi-step questions that require precise, personalized responses—where both accuracy and speed matter.
Grok 3: The World’s Smartest AI? Elon Musk Unveils Groundbreaking AI Model
Published:
🚀 Elon Musk has just unveiled Grok 3, calling it the “world’s smartest AI.”
According to benchmark results and blind tests, it outperforms Gemini 2, DeepSeek V3, Claude 3.5 Sonet, and GPT-4o in multiple categories. Let’s break down why Grok 3 might be the most advanced AI model to date.
OpenAI Deep Research: The AI Agent for Automated Multi-Step Research
Published:
🚀 OpenAI has just announced “Deep Research”—their second AI agent after Operator. This AI agent is designed to autonomously plan and execute multi-step research workflows, significantly accelerating knowledge-intensive tasks. Whether it’s finance, science, policy, engineering, or even complex shopping decisions, Deep Research can synthesize vast amounts of information in minutes. Let’s explore what this groundbreaking AI agent can do.
OpenAI o3 Mini: A Game-Changer for AI-Powered Reasoning and Coding
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OpenAI has just launched o3 Mini, a fast, efficient, and cost-effective AI model with impressive reasoning and coding capabilities. This release is a direct response to the competitive landscape, particularly influenced by DeepSeek’s recent innovations. Let’s dive into the features, benchmarks, and real-world applications of o3 Mini.
Operator AI: Revolutionizing Task Automation with Agentic AI
Published:
OpenAI’s latest innovation, Operator AI, has just launched, marking a significant step forward in agentic AI technology. Operator AI is an AI agent capable of independently accomplishing tasks, revolutionizing how we approach work, productivity, and creativity. Here’s everything you need to know about this exciting development.
DeepSeek R1: Affordable AI Disrupting the Industry in 2025
Published:
Key Highlights of DeepSeek R1
PydanticAI: Revolutionizing AI Agent Development with Type Safety and Structured Responses
Published:
PydanticAI is a Python-based agent framework that is transforming how developers build AI-driven applications. By leveraging the power of type safety, structured responses, and seamless integrations, PydanticAI addresses many of the challenges associated with generative AI and LLM-based workflows.
LangChain vs LangGraph: Choosing the Right Framework for LLM Applications
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LangChain and LangGraph are two open-source frameworks designed to help developers build applications using large language models (LLMs). While both have unique strengths, their differences cater to specific use cases. Let’s dive into what sets them apart and when to use each.
OpenAI Introduces Scheduled Tasks with GPT-4.0: A Game-Changer for Productivity
Published:
OpenAI’s latest GPT-4.0 update introduces scheduled tasks and recurring reminders, marking a significant leap in how AI integrates into daily life. This new feature offers a seamless way to automate routines, stay informed, and personalize interactions. Here’s a breakdown of its potential, use cases, and where this might lead.
CES 2025 Day 4 Highlights: Flying Cars, AI Pillows, and Futuristic Robots
Published:
Day 4 of CES 2025 brought an exciting mix of futuristic concepts and innovative technologies. From flying cars to robotic assistants, the showcase highlighted how AI and robotics are revolutionizing daily life and industries alike.
RStar Math: Microsoft’s Breakthrough in Self-Improving AI Models
Published:
In a groundbreaking research paper, Microsoft has introduced RStar Math, a small language model (SLM) capable of self-improvement through deep reasoning. The paper, titled “RStar Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking”, outlines a system that challenges the capabilities of larger models like GPT-4 and OpenAI’s GPT-3.5-turbo without relying on model distillation.
CES 2025 Day 3 Recap: From AI-Driven Vehicles to Truly Wireless TVs
Published:
Day 3 of CES 2025 showcased the best of AI innovation, cutting-edge automotive technology, and futuristic home gadgets. From Sony and Honda’s Afeela EV to the world’s first truly wireless TV, this year’s event reaffirms that AI is creeping into every corner of our lives.
CES 2025 Day 2 Highlights: AI Everywhere, Stretchable Displays, and Smarter Tech
Published:
Day 2 of CES 2025 proved that AI and robotics are transforming every corner of technology. From stretchable displays to autonomous robots, the show floor was buzzing with innovations that blend practicality with futuristic concepts.
CES 2025 Day 1 Highlights: Nvidia Dominates with AI and Robotics
Published:
CES 2025 kicked off in Las Vegas with a dazzling display of groundbreaking technology. With over 4,500 exhibitors and 232,000 square meters packed with innovations, AI stood out as the dominant theme, reshaping industries ranging from gaming and robotics to healthcare and autonomous vehicles.
Why OpenAI is Delaying AI Agents: A Look at the Risks and Challenges
Published:
As 2025 unfolds as the “Year of AI Agents,” many are questioning why OpenAI, a leader in AI innovation, has yet to release its highly anticipated AI agents. Competitors like Google with Project Mariner and Anthropic with Claude’s computer-use capabilities have already entered the race. However, OpenAI’s hesitation stems from critical safety and reliability concerns. See the youtube video below for more information: YouTube
NVIDIA’s Vision for Physical AI: A New Frontier in Robotics and Autonomous Systems
Published:
NVIDIA CEO Jensen Huang recently introduced a groundbreaking vision for Physical AI, emphasizing its potential to revolutionize industries such as robotics and autonomous vehicles. This evolution extends beyond generative and agentic AI, focusing on embodied intelligence capable of interacting with the physical world.
AI Assistants, Agents, and RAG Agents: Understanding the Key Differences
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As AI technology evolves, distinguishing between AI Assistants, AI Agents, and RAG Agents (Retrieval-Augmented Generation) becomes crucial. Each offers unique capabilities and applications, enabling users and developers to leverage AI for specific tasks more effectively.
Understanding Sam Altman’s Singularity Insights: What’s Next for AI and Humanity?
Published:
Sam Altman, CEO of OpenAI, recently sparked a profound conversation about AI, singularity, and the future of humanity with his cryptic six-word tweet:
[IBM] AI Trends to Watch in 2025: The Future of Artificial Intelligence
Published:
As we look toward 2025, artificial intelligence (AI) continues to evolve at a rapid pace. For full video, check out this link: YouTube. Here’s a breakdown of eight critical trends shaping the future of AI, based on educated predictions:
[Meta] Large Concept Models: Redefining AI Beyond Large Language Models
Published:
Meta has introduced a groundbreaking concept in the AI field called Large Concept Models (LCMs), signaling a paradigm shift away from traditional Large Language Models (LLMs). This innovation redefines how AI processes and understands language, aiming to address some inherent limitations of LLMs. For full paper, you can access it here: Large Concept Models
[OpenAI] Structured Outputs: Unlocking Reliable AI Applications
Published:
OpenAI introduced structured outputs in August, a transformative feature in their API that ensures AI-generated outputs adhere to developer-specified JSON schemas. This innovation addresses long-standing challenges in working with LLMs, particularly reliability issues in text-to-JSON transformations. For full video, check out this link: YouTube
[OpenAI] Realtime API: Revolutionizing Multimodal Interactions
Published:
OpenAI introduced the Realtime API, enabling low-latency, multimodal interactions for building voice-driven applications. This API unifies speech-to-speech capabilities, natively understanding and generating speech without intermediate text conversion, providing developers with powerful tools for natural and fluid interactions. For full video, check out this link: YouTube
[OpenAI] OpenAI DevDay 2024 - Fireside chat with Sam Altman and Kevin Weil
Published:
OpenAI DevDay 2024 showcased groundbreaking advancements and visions for the future of AI, focusing on areas like AGI, real-time API innovations, ethical considerations, and the transformative role of developers. For full video, check out this link: YouTube
portfolio
Bio-Ceramic Website Management
Managed and enhanced website content, boosting user satisfaction and traffic.
Contributions to browser-use/web-ui
Enhancing functionality and user experience in a project with nearly 3k stars.
ConnectToVPN
A Python-based script for automating VPN connections.
Gamelectronics Document Management System
Enhanced and optimized software architecture for document management and retrieval.
LLM Zero to Mastery
A comprehensive guide to mastering Large Language Models (LLMs) through hands-on projects.
LangChain Zero to Mastery
A step-by-step guide to mastering LangChain through hands-on projects.
Najva Push Notification Optimization
Optimized push notification services and improved codebase quality metrics.
Freelance E-commerce Platform
A lightweight e-commerce platform designed to mirror Amazon’s functionality.
PyTorch Zero to Mastery
A step-by-step guide to mastering PyTorch, covering tensors, neural networks, and GPU utilization.
Python Zero to Mastery
An in-depth exploration of Python, covering hot topics, useful libraries, and advanced programming concepts.
RZN Campaign
A Progressive Web App (PWA) for product identification and prize distribution.
publications
DCOR: Anomaly Detection in Attributed Networks via Dual Contrastive Learning Reconstruction
Published in The 13th International Conference on Complex Networks and their Applications, 2024
In this work, we propose a novel framework that leverages dual reconstruction and contrastive learning to identify anomalies in attributed networks, addressing both structural and attribute-level outliers. Our experiments on benchmark datasets demonstrate significant performance improvements compared to existing methods.
Recommended citation: M Shariat Bagheri, et al. (2024). "DCOR: Anomaly Detection in Attributed Networks via Dual Contrastive Learning Reconstruction." The 13th International Conference on Complex Networks and their Applications.
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talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown file that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.