AI Tools & Frameworks Directory

Google has announced the release of Veo 3.1 Lite, a new model tier within its generative video portfolio designed to address the primary bottleneck for production-scale deployments: pricing. While the generative video space has seen rapid progress in visual fidelity, the cost per second of generated...

In the current landscape of generative AI, the ‘scaling laws’ have generally dictated that more parameters equal more intelligence. However, Liquid AI is challenging this convention with the release of LFM2.5-350M. This model is actually a technical case study in intelligence density with additional...

The AI recruiting startup confirmed a security incident after an extortion hacking crew took credit for stealing data from the company's systems.

Less than a year after launching, with checks from some of the biggest names in Silicon Valley, crowdsourced AI model feedback startup Yupp.ai is closing its business, the company said Tuesday.

Build with Veo 3.1 Lite

The company turns turns footage from robots into structured, searchable datasets with a deep learning model.

Runway is launching a $10 million fund and startup program to back companies building with its AI video models, as it pushes toward interactive, real-time “video intelligence” applications.

On February 10, 2026, Scott Shambaugh—a volunteer maintainer for Matplotlib, one of the world’s most popular open source software libraries—rejected a proposed code change. Why? Because an AI agent wrote it. Standard policy. What happened next wasn’t standard, though. The AI agent autonomously resea...

DNA robots are emerging as tiny programmable machines that could one day deliver drugs, hunt viruses, and build molecular-scale devices. By borrowing ideas from traditional robotics and combining them with DNA folding techniques, scientists are creating structures that can move and act with precisio...

In agentic AI systems , when an agent's execution pipeline is intentionally halted, we have what is known as a state-managed interruption .

The landscape of multimodal large language models (MLLMs) has shifted from experimental ‘wrappers’—where separate vision or audio encoders are stitched onto a text-based backbone—to native, end-to-end ‘omnimodal’ architectures. Alibaba Qwen team latest release, Qwen3.5-Omni, represents a significant...

According to a Quinnipiac University poll, 15% of Americans say they'd be willing to have a job where their direct supervisor was an AI program that assigned tasks and set schedules.

LiteLLM had obtained two security compliance certifications via Delve and fell victim to some horrific credential-stealing malware last week.

Microsoft has announced the release of Harrier-OSS-v1, a family of three multilingual text embedding models designed to provide high-quality semantic representations across a wide range of languages. The release includes three distinct scales: a 270M parameter model, a 0.6B model, and a 27B model. T...

Your human manager may soon be a chatbot. Across organizations, AI is being used to replace layers of management in what some are calling "The Great Flattening."

This article is divided into three parts; they are: • How Attention Works During Prefill • The Decode Phase of LLM Inference • KV Cache: How to Make Decode More Efficient Consider the prompt: Today’s weather is so .

AI adoption is rising in the U.S., but trust remains low, with most Americans concerned about transparency, regulation, and the technology’s broader societal impact, according to a new Quinnipiac poll.

A new model measures defects that can be leveraged to improve materials’ mechanical strength, heat transfer, and energy-conversion efficiency.

Mantis takes disparate sources of data to make synthetic datasets that can be used to build so-called "digital twins" of the human body, representing anatomy, physiology and behavior.

Feature engineering is where most of the real work in machine learning happens.

Starcloud becomes the fastest Y Combinator startup to reach unicorn status, just 17 months after demo day.

In the world of voice AI, the difference between a helpful assistant and an awkward interaction is measured in milliseconds. While text-based Retrieval-Augmented Generation (RAG) systems can afford a few seconds of ‘thinking’ time, voice agents must respond within a 200ms budget to maintain a natura...

In the development of autonomous agents, the technical bottleneck is shifting from model reasoning to the execution environment. While Large Language Models (LLMs) can generate code and multi-step plans, providing a functional and isolated environment for that code to run remains a significant infra...

A team of researchers associated with Amazon has released A-Evolve, a universal infrastructure designed to automate the development of autonomous AI agents. The framework aims to replace the ‘manual harness engineering’ that currently defines agent development with a systematic, automated evolution ...