AI Tools & Frameworks Directory

AI benchmarks report how large language models (LLMs) perform on specific tasks but provide little insight into their underlying capabilities that drive their performance. They do not explain failures or reliably predict outcomes on new tasks. To address this, Microsoft researchers in collaboration ...

Imagine a robot tasked with cleaning a kitchen. It needs to observe its environment, decide what to do, and adjust when things don’t go as expected, for example, when the mug it was tasked to wash is already clean, or the sink is full of other items. This is the domain of embodied AI: systems […] Th...

Vision-language models (VLMs) use images and text to plan robot actions, but they still struggle to decide what actions to take and where to take them. Most systems split these decisions into two steps: a VLM generates a plan in natural language, and a separate model translates it into executable ac...

The post For KPMG Canada’s Christine Andrew, Copilot isn’t just a time saver—it unlocks high-value impact appeared first on Source.

The post Copilot in the C-Suite: Infobip’s Veselin Vuković on using Copilot to nurture partnerships appeared first on Source.

Are machines truly intelligent? AI researchers Subutai Ahmad and Nicolò Fusi join Doug Burger to compare transformer-based AI with the human brain, exploring continual learning, efficiency, and whether today’s models are on a path toward human intelligence. The post Will machines ever be intelligent...

As AI agents transition from simple chatbots to autonomous systems capable of managing cloud incidents, navigating complex web interfaces, and executing multi-step API workflows, a new challenge has emerged: transparency. When a human makes a mistake, we can usually trace the logic. But when an AI a...

It seems counterintuitive: giving AI agents more memory can make them less effective. As interaction logs accumulate, they grow large, fill with irrelevant content, and become increasingly difficult to use. More memory means that agents must search through larger volumes of past interactions to find...

The post Kerry Group’s Shane McGibney on how Copilot is his knowledge partner appeared first on Source.

We are pleased to announce Phi-4-reasoning-vision-15B, a 15 billion parameter open‑weight multimodal reasoning model, available through Microsoft Foundry (opens in new tab), HuggingFace (opens in new tab) and GitHub (opens in new tab). Phi-4-reasoning-vision-15B is a broadly capable model that can b...

By mid-morning, a typical knowledge worker is already juggling a client report, a budget spreadsheet, a slide deck, and an email backlog, all interdependent and all demanding attention at once. For AI agents to be genuinely useful in that environment, they will need to operate the same way, but toda...

The post ILUNION’s José Luis Barceló credits creative legal team —and Copilot 365—with a ‘deep transformation’ appeared first on Source.

The post How an AI tool is helping UK clinicians save time and be present with patients appeared first on Source.

The post Faster decisions: How an AI agent is redefining executive workflows at one of the world’s largest building materials companies appeared first on Source.

The post Building Qiddiya City: How Copilot helps Abdulrahman AlAli navigate a project of unprecedented scale appeared first on Source.

This research looks at why Predictive Inverse Dynamics Models often outperform standard Behavior Cloning in imitation learning. By using simple predictions of what happens next, PIDMs reduce ambiguity and learn from far fewer demonstrations. The post Rethinking imitation learning with Predictive Inv...

Microsoft Research unveils Paza, a human-centered speech pipeline, and PazaBench, the first leaderboard for low-resource languages. It covers 39 African languages and 52 models and is tested with communities in real settings. The post Paza: Introducing automatic speech recognition benchmarks and mo...

The post Introducing Maia 200: The AI accelerator built for inference appeared first on Source.

Argos improves multimodal RL by evaluating whether an agent’s reasoning aligns with what it observes over time. The approach reduces visual hallucinations and produces more reliable, data-efficient agents for real-world applications. The post Multimodal reinforcement learning with agentic verifier f...

OptiMind is a small language model that converts business operation challenges, described naturally, into mathematical formulations that optimization software can solve. It reduces formulation time & errors & enables fast, privacy-preserving local use. The post OptiMind: A small language model with ...

The post 4 ways AI is reshaping discovery, health, work and responsibility appeared first on Source.

The post From Signal magazine: How Jaron Lanier is reframing what it means to build – and trust – AI appeared first on Source.

The post From Signal magazine: How AI is reshaping the game on and off the court appeared first on Source....

By decoupling how agents work from how they’re trained, Agent Lightning turns each step an agent takes into data for reinforcement learning. This makes it easy for developers to improve agent performance with almost zero code changes. The post Agent Lightning: Adding reinforcement learning to AI age...