AI Tools & Frameworks Directory

More than 20 venture capitalists share their thoughts on AI agents, enterprise AI budgets and more for 2026.

When prompted for a creative image that was to be published on Boxing Day - Dec 26, 2025 - this is what ChatGPT came up with. We can start to see how the various AI models and tools differ in there interpretations (literal versus figurative) of what an image request conveys.

This is the first in a short series of articles from various AI models and how they view the upcoming year in 2026. A forward looking 2026 New Year’s message for AI, machine learning, robotics, and automation enthusiasts, celebrating bold innovation, responsible tech, and the builders shaping the fu...

How to make LLMs reason with verifiable, step-by-step logic (Part 2) The post Implementing Vibe Proving with Reinforcement Learning appeared first on Towards Data Science.

As AI accelerates beyond human employment capacity and public trust erodes under massive data center expansion, DebitMyData, Inc. is building the missing bridge — the human and digital foundation for the next economy. Before governments acted, before the Genesis Executive Order ignited a national pu...

arXiv:2512.21349v1 Announce Type: new Abstract: This thesis presents a physics-informed machine learning framework for solving the Floquet-Bloch eigenvalue problem associated with particles in two-dimensional periodic potentials, with a focus on honeycomb lattice geometry, due to its distinctive ba...

arXiv:2512.21395v1 Announce Type: new Abstract: Synthetic data generation (SDG) is a promising approach for enabling data sharing in biomedical studies while preserving patient privacy. Yet, state-of-the-art generative models often require large datasets and complex training procedures, limiting th...

arXiv:2512.21409v1 Announce Type: new Abstract: kooplearn is a machine-learning library that implements linear, kernel, and deep-learning estimators of dynamical operators and their spectral decompositions. kooplearn can model both discrete-time evolution operators (Koopman/Transfer) and continuous...

arXiv:2512.21433v1 Announce Type: new Abstract: Error-bounded lossy compression techniques have become vital for scientific data management and analytics, given the ever-increasing volume of data generated by modern scientific simulations and instruments. Nevertheless, assessing data quality post-c...

arXiv:2512.21360v1 Announce Type: new Abstract: Background: The House-Tree-Person (HTP) drawing test, introduced by John Buck in 1948, remains a widely used projective technique in clinical psychology. However, it has long faced challenges such as heterogeneous scoring standards, reliance on examin...

arXiv:2512.21419v1 Announce Type: new Abstract: Trisecting agents, issues, and agent pairs are essential topics of three-way conflict analysis. They have been commonly studied based on either a rating or an auxiliary function. A rating function defines the positive, negative, or neutral ratings of ...

arXiv:2512.21420v1 Announce Type: new Abstract: Most existing work on three-way conflict analysis has focused on trisecting agent pairs, agents, or issues, which contributes to understanding the nature of conflicts but falls short in addressing their resolution. Specifically, the formulation of fea...

We have entered the time of multi-agent artificial intelligence. However, there is a very important issue: in what way can remote AI agents produce rich and interactive experiences without exposing the system to security risks? Google A2UI (Agent-to-UI) protocol addresses this question in a very sma...

Startup funding rounds in India fell sharply in 2025 as investors concentrated capital into fewer companies.

An insightful analysis of what AI, robotics, and automation will realistically achieve in 2026—what’s likely, what’s not, and why it matters for the future.

Understanding the architecture, training pipeline and implementing TabPFN in practice The post Exploring TabPFN: A Foundation Model Built for Tabular Data appeared first on Towards Data Science.

Many AI systems focus on isolated tasks or simple prompt engineering. This approach allowed us to build interesting applications from a single prompt, but we are starting to hit a limit. Simple prompting falls short when we tackle complex AI tasks that require multiple stages or enterprise systems t...

TechCrunch’s Equity crew is bringing 2025 to a close and getting ahead on the year to come with our annual predictions episode! Hosts Kirsten Korosec, Anthony Ha, and Rebecca Bellan were joined by Build Mode host Isabelle Johannessen to dissect the year’s biggest tech developments, from mega AI fund...

Vitamin C doesn’t just belong in skincare products—it works even better when you eat it. Scientists discovered that vitamin C from food travels through the bloodstream into every layer of the skin, boosting collagen and skin renewal. People who ate two vitamin C–packed kiwifruit daily showed thicker...

Agent creation has become easier than ever but have you ever thought – how can we make them more powerful than they already are? I recently thought of one possible way – what if they had realtime information about specific categories like finance and movies. That would be really cool, right? While e...

The NotebookLM is a relatively new Internet phenomenon, in which Google has distinguished itself, thanks to its Audio Overview mode – a mechanism that transforms the text in the paper into a two-person podcast. All of this, in a single click. But what should you do when you wish to build it yourself...

This article is divided into two parts; they are: • Data Parallelism • Distributed Data Parallelism If you have multiple GPUs, you can combine them to operate as a single GPU with greater memory capacity.

This article is divided into two parts; they are: • Using `torch.

An intuitive explanation of transforming random variables correctly. The post Keeping Probabilities Honest: The Jacobian Adjustment appeared first on Towards Data Science.