AI & ML Research 24 Hours

Last updated: June 24, 2026, 11:30 PM ET

AI Infrastructure & Hardware

OpenAI and Broadcom have unveiled Jalapeño, a custom AI chip designed to optimize large language model (LLM) inference. This collaboration aims to significantly improve performance and efficiency, enabling greater scale across AI systems. The development addresses a growing need for specialized hardware as AI applications become more sophisticated and demanding. Meanwhile, the burgeoning AI sector is driving demand for a robust web data infrastructure layer, as enterprises require access to vast datasets to capitalize on new use cases, with much of this information currently blocked or inaccessible MIT Technology Review AI.

LLM Reasoning & Factual Recall

Google Deep Mind is introducing computer use capabilities to its Gemini 3.5 Flash model, enhancing its ability to process and reason with information. This development builds upon research into how LLMs recall parametric knowledge, suggesting that generative AI can unlock stored information through advanced reasoning techniques Google AI Blog. Further insights into LLM architecture come from an analysis of Gemma-2B and Gemma-12B-IT, which identifies a three-phase factual recall circuit. Activation patching studies reveal how facts are stored, routed, and accessed across transformer layers, with the residual stream playing a substantial role in this process Towards Data Science.

Data Engineering & Pipelines

For new data engineers, making ETL pipelines testable is a primary onboarding task, involving environment setup, automated testing, and AI-assisted development workflows Towards Data Science. This focus on robust data infrastructure is critical for supporting the rapid growth of AI applications. In a related development, practitioners are moving beyond single-agent systems, building multi-agent pipelines for tasks like text-to-SQL queries Towards Data Science. This approach offers a more flexible and powerful way to handle complex data interactions. Retrieval-Augmented Generation (RAG) systems are also seeing refinement, with anchor detection methods employing parallel detectors followed by a single LLM call for enterprise document intelligence, filtering structured tables using keywords, table of contents, and embeddings sequentially Towards Data Science.

Credit Scoring & AI Applications

Traditional modeling techniques are being adapted for modern AI applications, with a guide detailing how to build a credit scoring grid from a logistic regression model Towards Data Science. This process involves translating model coefficients into a 0-1000 score, incorporating risk classes and stability checks. This demonstrates how established statistical methods can be integrated into AI-driven financial tools. In a broader application of AI for societal well-being, Stripe, and OpenAI are co-funding initiatives aimed at combating respiratory infections, addressing a common health challenge for which preventative measures are currently limited MIT Technology Review.

Emerging Technologies & Challenges

Europe is currently facing unprecedented heatwaves, pushing its power grid to its limits and leading to shutdowns of some power plants that are unable to operate under extreme temperatures MIT Technology Review. This situation highlights the growing infrastructure challenges associated with climate change. Meanwhile, a novel approach to connectivity is emerging with a large, solar-powered flying platform designed to deliver improved internet service from the air, with a test flight scheduled to cross the Pacific by August MIT Technology Review. These developments underscore the ongoing efforts to innovate in critical infrastructure sectors while grappling with global environmental and technological hurdles.