AI & ML Research 3 Days

Last updated: June 24, 2026, 5:30 PM ET

LLM Development & Infrastructure

OpenAI and Broadcom unveiled Jalapeño, a custom AI chip engineered to optimize LLM inference, promising enhanced performance and efficiency for AI systems. This collaboration aims to scale AI capabilities and represents a significant step in dedicated hardware development. Meanwhile, OpenAI is also backing efforts to combat respiratory infections, partnering with Stripe and Anthropic in a broad initiative. The company also announced Patch the Planet and new Daybreak tools, including Codex Security and GPT-5.5-Cyber, designed to help organizations globally identify, validate, and patch security vulnerabilities at scale. Furthermore, OpenAI is aiding the development of shared standards for advanced AI, focusing on evaluation frameworks and safety practices.

Continuing the trend of enterprise AI adoption, Samsung Electronics is deploying Chat GPT Enterprise and Codex to its global workforce, marking one of OpenAI’s largest enterprise rollouts. This move aims to integrate advanced AI capabilities across Samsung's operations. Omio is also transforming into an AI-native company by leveraging OpenAI to power conversational travel experiences and accelerate product development. In research, Google Deep Mind introduced computer use capabilities into Gemini 3.5 Flash, expanding its potential applications.

LLM Reasoning & Knowledge

Researchers are exploring the mechanisms behind how large language models (LLMs) access and utilize information. A study on Gemma-2B and Gemma-12B-IT models revealed a three-phase factual recall circuit, demonstrating how facts are stored, routed, and read out across transformer layers, with the residual stream playing a significant role. This work offers insights into the internal workings of these models. Complementing this, Google AI Blog discussed how reasoning unlocks parametric knowledge in generative AI, suggesting that structured reasoning processes can better access and leverage the vast knowledge embedded within LLMs.

Data Engineering & Pipelines

Data engineers are facing new challenges and adopting new workflows in the age of AI. A practical guide for new data engineers emphasizes making ETL pipelines testable from the outset, covering environment setup, automated testing, and AI-assisted development. This approach aims to build a solid foundation for data infrastructure. In a related development, a walkthrough detailed building a multi-agent pipeline instead of relying on single agents, using text-to-SQL as an example to manage complexity. For those working with Retrieval Augmented Generation (RAG), new strategies are emerging for handling document intelligence. One approach focuses on anchor detection for RAG, suggesting parallel detectors followed by a single LLM call, and filtering data through keywords, table of contents, and embeddings. Another perspective reframes RAG as filtering rather than searching, advocating for filtering structured data and expanding context effectively. When RAG users pose vague questions, a proposed method involves asking a focused clarification once and then learning the default response for future interactions.

AI & Machine Learning Applications

The application of AI continues to expand into diverse fields. In finance, a method for building a credit scoring grid from logistic regression models was detailed, outlining how to convert model coefficients into a 0-1000 score with risk classes and stability checks. In a different domain, AI warning systems are being developed in India to help avoid deadly clashes between humans and elephants, a critical issue given that a significant portion of the wild Asian elephant population inhabits areas outside protected zones.

Hardware & Emerging Technologies

The future of chipmaking is being shaped by advanced machinery. A $400 million machine, described as the size of a double-decker bus, is powering advancements in chip fabrication at a leading technology company. This highlights the substantial investment and complex engineering required for cutting-edge semiconductor manufacturing. Meanwhile, flying solar-powered platforms are being developed to deliver improved internet connectivity from the air, with one such craft planned to traverse the Pacific.

Research & Education

Discussions around the role of education in the AI era continue. One piece reflects on sharing a love for calculus, suggesting that foundational mathematical concepts remain relevant amidst the rapid advancements in AI. In research, engineers have found direct evidence that plant seeds can sense sounds, observing that rice germinated significantly faster when exposed to vibrations from falling rain, indicating a previously unknown sensory capability in plants.

Robotics & Bioengineering

Advancements in robotics are enabling more sophisticated manipulation. Ultrasound imaging is being used to train robot hands to become skillful mimics of human dexterity, which involves coordinating numerous muscles and joints for nuanced movements. In bioengineering, engineered "mini livers" are being developed as a potential alternative to transplantation for individuals with chronic liver disease. Another medical innovation involves a breath test designed to diagnose pneumonia and other lung conditions quickly using a portable sensor.

Software Development & Tools

Developers are exploring new ways to leverage AI in their workflows. A guide offers insights into creating powerful loops in Claude Code, explaining how to use looping constructs to enhance coding agents. For those interested in local AI development, a step-by-step tutorial covers building a local AI coding agent with Gemma 4 and Open Code, from installation to launching local models. Additionally, a method for using Claude Code in a browser is presented, detailing how to apply coding agents for work verification.

The broader implications of AI for software development are also being discussed, with the emergence of the era of no-code AI. This trend suggests a shift in how software is created, potentially impacting the roles of traditional programmers. For data scientists, a practical experience shared how Gemini solved a complex Pandas problem in seconds, underscoring the utility of AI assistants while also noting that fundamental data science knowledge remains essential for evaluating AI-generated solutions. Data preprocessing techniques are also evolving, with a discussion on encoding categorical data for outlier detection, highlighting the limitations of one-hot encoding and presenting alternative approaches.