Author: Nikhil

Nikhil
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Nikhil is an intern consultant at Marktechpost. He is pursuing an integrated dual degree in Materials at the Indian Institute of Technology, Kharagpur. Nikhil is an AI/ML enthusiast who is always researching applications in fields like biomaterials and biomedical science. With a strong background in Material Science, he is exploring new advancements and creating opportunities to contribute.

Xiaomi introduced MiMo-7B: A Compact Language Model that Outperforms Larger Models in Mathematical and Code Reasoning through Rigorous Pre-Training and Reinforcement Learning

AI Paper Summary
With rising demand for AI systems that can handle tasks involving multi-step logic, mathematical proofs, and software development, researchers have turned their attention toward...

A Step-by-Step Coding Guide to Integrate Dappier AI’s Real-Time Search and Recommendation Tools with OpenAI’s Chat API

Agentic AI
In this tutorial, we will learn how to harness the power of Dappier AI, a suite of real-time search and recommendation tools, to enhance...

Google NotebookLM Launches Audio Overviews in 50+ Languages, Expanding Global Accessibility for AI Summarization

AI Agents
Google has significantly expanded the capabilities of its experimental AI tool, NotebookLM, by introducing Audio Overviews in over 50 languages. This marks a notable...

Mila & Universite de Montreal Researchers Introduce the Forgetting Transformer (FoX) to Boost Long-Context Language Modeling without Sacrificing Efficiency

AI Paper Summary
Transformers have revolutionized sequence modeling by introducing an architecture that handles long-range dependencies efficiently without relying on recurrence. Their ability to process input tokens...

A Coding Guide to Asynchronous Web Data Extraction Using Crawl4AI: An Open-Source Web Crawling and Scraping Toolkit Designed for LLM Workflows

AI Shorts
In this tutorial, we demonstrate how to harness Crawl4AI, a modern, Python‑based web crawling toolkit, to extract structured data from web pages directly within...

Muon Optimizer Significantly Accelerates Grokking in Transformers: Microsoft Researchers Explore Optimizer Influence on Delayed Generalization

AI Paper Summary
Revisiting the Grokking Challenge In recent years, the phenomenon of grokking—where deep learning models exhibit a delayed yet sudden transition from memorization to generalization—has prompted...

Open-Source TTS Reaches New Heights: Nari Labs Releases Dia, a 1.6B Parameter Model for Real-Time Voice Cloning and Expressive Speech Synthesis on Consumer Device

Artificial Intelligence
The development of text-to-speech (TTS) systems has seen significant advancements in recent years, particularly with the rise of large-scale neural models. Yet, most high-fidelity...

Researchers at Physical Intelligence Introduce π-0.5: A New AI Framework for Real-Time Adaptive Intelligence in Physical Systems

Editors Pick
Designing intelligent systems that function reliably in dynamic physical environments remains one of the more difficult frontiers in AI. While significant advances have been...

Anthropic Releases a Comprehensive Guide to Building Coding Agents with Claude Code

Agentic AI
Anthropic has released a detailed best-practice guide for using Claude Code, a command-line interface designed for agentic software development workflows. Rather than offering a...

ByteDance Releases UI-TARS-1.5: An Open-Source Multimodal AI Agent Built upon a Powerful Vision-Language Model

Agentic AI
ByteDance has released UI-TARS-1.5, an updated version of its multimodal agent framework focused on graphical user interface (GUI) interaction and game environments. Designed as...

LLMs Can Think While Idle: Researchers from Letta and UC Berkeley Introduce ‘Sleep-Time Compute’ to Slash Inference Costs and Boost Accuracy Without Sacrificing Latency

AI Paper Summary
Large language models (LLMs) have gained prominence for their ability to handle complex reasoning tasks, transforming applications from chatbots to code-generation tools. These models...

OpenAI Releases a Practical Guide to Building LLM Agents for Real-World Applications

Agentic AI
OpenAI has published a detailed and technically grounded guide, A Practical Guide to Building Agents, tailored for engineering and product teams exploring the implementation...
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