AI Tools & Frameworks Directory

arXiv:2601.04264v1 Announce Type: new Abstract: Deep learning models, particularly recurrent neural networks and their variants, such as long short-term memory, have significantly advanced time series data analysis. These models capture complex, sequential patterns in time series, enabling real-tim...

arXiv:2601.04234v1 Announce Type: new Abstract: Artificial General Intelligence (AGI) may face a confrontation question: under what conditions would a rationally self-interested AGI choose to seize power or eliminate human control (a confrontation) rather than remain cooperative? We formalize this ...

arXiv:2601.04235v1 Announce Type: new Abstract: Obtaining reliable feedback from the environment is a fundamental capability for intelligent agents to evaluate the correctness of their actions and to accumulate reusable knowledge. However, most existing approaches rely on predefined measurements or...

arXiv:2601.04237v1 Announce Type: new Abstract: We demonstrate SAGE-32B, a 32 billion parameter language model that focuses on agentic reasoning and long range planning tasks. Unlike chat models that aim for general conversation fluency, SAGE-32B is designed to operate in an agentic loop, emphasizi...

arXiv:2601.04239v1 Announce Type: new Abstract: The Cyclic Antibandwidth Problem (CABP), a variant of the Antibandwidth Problem, is an NP-hard graph labeling problem with numerous applications. Despite significant research efforts, existing state-of-the-art approaches for CABP are exclusively heuri...

The impressive performance gains of modern language models currently rely on scaling parameters: larger models store more world knowledge and reason better. Yet compressing all world knowledge into parameters is unnecessary, as only a fraction is used per prompt, and impractical for edge devices wit...

Speech foundation models have recently achieved remarkable capabilities across a wide range of tasks. However, their evaluation remains disjointed across tasks and model types. Different models excel at distinct aspects of speech processing and thus require different evaluation protocols. This paper...

Interface agents powered by generative AI models (referred to as “agents”) can automate actions based on user commands. An important aspect of developing agents is their user experience (i.e., agent experience). There is a growing need to provide scaffolds for a broader set of individuals beyond AI ...

For the past two weeks, X has been flooded with AI manipulated nude images, created by the Grok AI chatbot — and governments around the world are promising to take action.

With the help of AI, MIT Research Scientist Judah Cohen is reshaping subseasonal forecasting, with the goal of extending the lead time for predicting impactful weather.

OpenAI is acquiring the team behind executive coaching AI tool Convogo in an all-stock deal, adding to the firm's M&A spree.

Explore Africa's unique path in the AI, IoT, and robotics revolution—how the continent leverages demographic dividends, frugal innovation, and mobile-first strategies to build a context-driven tech future. Discover its strengths in leapfrog development, sector-specific AI, and hybrid governance mode...

The name Google has always been synonymous with technology, and things are no different in the age of AI. Google has quietly been the frontrunner in the AI revolution with a host of products that surprisingly few people know about. Of course, the showstoppers like Gemini and NotebookLM have been pop...

Snowflake is bolstering its data stack to make the platform better suited to the sheer volume of data produced by AI agents.

In the rolling hills of Berkeley, California, an AI agent is supporting high-stakes physics experiments at the Advanced Light Source (ALS) particle accelerator. Researchers at the Lawrence Berkeley National Laboratory ALS facility recently deployed the Accelerator Assistant, a large language model (...

Using ACE to create self-improving LLM workflows and structured playbooks The post Beyond Prompting: The Power of Context Engineering appeared first on Towards Data Science.

District Judge Yvonne Gonzalez Rogers said there was evidence suggesting OpenAI’s leaders made assurances that its original nonprofit structure would be maintained. The case will go to trial in March.

A team of Stanford Medicine researchers have introduced SleepFM Clinical, a multimodal sleep foundation model that learns from clinical polysomnography and predicts long term disease risk from a single night of sleep. The research work is published in Nature Medicine and the team has released the cl...

The ultimate goal is to run these automations on a single workstation or small server, replacing fragile scripts and expensive API-based systems.

Why Retrieval Helps in Time Series Forecasting We all know how it goes: Time-series data is tricky. Traditional forecasting models are unprepared for incidents like sudden market crashes, black swan events, or rare weather patterns. Even large fancy models like Chronos sometimes struggle because the...

Kontakt.io today launched Patient Journey Analytics, a next-generation data intelligence layer that eliminates operational uncertainty in hospitals by unifying clinical and operational data into a continuous, actionable view of patient care. The platform enables healthcare organizations to shift fro...

The most popular GitHub repositories to help you learn AI, from fundamentals and math to LLMs, agents, computer vision, and real-world production systems.

How Netomi scales enterprise AI agents using GPT-4.1 and GPT-5.2—combining concurrency, governance, and multi-step reasoning for reliable production workflows.

Driving smarter interaction across acoustics, optics, and electronics On the opening day of CES 2026, Goertek unveiled a comprehensive suite of technological innovations designed to power the next generation of intelligent devices. The company is contributing to the evolution of human-machine intera...