New platform eliminates scheduling friction through conversational AI assistants that work on your domain IgniteTech, the enterprise software powerhouse known for leading the AI transformation revolution, today announced Adminio™ AI, a groundbreaking, patent-pending platform that eliminates the tedi...
With co-founders leaving and an IPO looming, Elon Musk turns talk to the moon
According to The New York Times, which reports that it heard the meeting, Musk told employees that xAI needs a lunar manufacturing facility, a factory on the moon that will build AI satellites and fling them into space via a giant catapult.
Enhanced Graph Transformer with Serialized Graph Tokens
arXiv:2602.09065v1 Announce Type: new
Abstract: Transformers have demonstrated success in graph learning, particularly for node-level tasks. However, existing methods encounter an information bottleneck when generating graph-level representations. The prevalent single token paradigm fails to fully ...
Spectral Disentanglement and Enhancement: A Dual-domain Contrastive Framework for Representation Learning
arXiv:2602.09066v1 Announce Type: new
Abstract: Large-scale multimodal contrastive learning has recently achieved impressive success in learning rich and transferable representations, yet it remains fundamentally limited by the uniform treatment of feature dimensions and the neglect of the intrinsi...
Learning to Remember, Learn, and Forget in Attention-Based Models
arXiv:2602.09075v1 Announce Type: new
Abstract: In-Context Learning (ICL) in transformers acts as an online associative memory and is believed to underpin their high performance on complex sequence processing tasks. However, in gated linear attention models, this memory has a fixed capacity and is ...
Patient foundation model for risk stratification in low-risk overweight patients
arXiv:2602.09079v1 Announce Type: new
Abstract: Accurate risk stratification in patients with overweight or obesity is critical for guiding preventive care and allocating high-cost therapies such as GLP-1 receptor agonists. We present PatientTPP, a neural temporal point process (TPP) model trained ...
Looping Back to Move Forward: Recursive Transformers for Efficient and Flexible Large Multimodal Models
arXiv:2602.09080v1 Announce Type: new
Abstract: Large Multimodal Models (LMMs) have achieved remarkable success in vision-language tasks, yet their vast parameter counts are often underutilized during both training and inference. In this work, we embrace the idea of looping back to move forward: re...
A Small-Scale System for Autoregressive Program Synthesis Enabling Controlled Experimentation
arXiv:2602.09112v1 Announce Type: new
Abstract: What research can be pursued with small models trained to complete true programs? Typically, researchers study program synthesis via large language models (LLMs) which introduce issues such as knowing what is in or out of distribution, understanding f...
Uncertainty-Aware Multimodal Emotion Recognition through Dirichlet Parameterization
arXiv:2602.09121v1 Announce Type: new
Abstract: In this work, we present a lightweight and privacy-preserving Multimodal Emotion Recognition (MER) framework designed for deployment on edge devices. To demonstrate framework's versatility, our implementation uses three modalities - speech, text and f...
PABU: Progress-Aware Belief Update for Efficient LLM Agents
arXiv:2602.09138v1 Announce Type: new
Abstract: Large Language Model (LLM) agents commonly condition actions on full action-observation histories, which introduce task-irrelevant information that easily leads to redundant actions and higher inference cost. We propose Progress-Aware Belief Update (P...
CoMMa: Contribution-Aware Medical Multi-Agents From A Game-Theoretic Perspective
arXiv:2602.09159v1 Announce Type: new
Abstract: Recent multi-agent frameworks have broadened the ability to tackle oncology decision support tasks that require reasoning over dynamic, heterogeneous patient data. We propose Contribution-Aware Medical Multi-Agents (CoMMa), a decentralized LLM-agent f...
FlyAOC: Evaluating Agentic Ontology Curation of Drosophila Scientific Knowledge Bases
arXiv:2602.09163v1 Announce Type: new
Abstract: Scientific knowledge bases accelerate discovery by curating findings from primary literature into structured, queryable formats for both human researchers and emerging AI systems. Maintaining these resources requires expert curators to search relevant...
NVIDIA Researchers Introduce KVTC Transform Coding Pipeline to Compress Key-Value Caches by 20x for Efficient LLM Serving
Serving Large Language Models (LLMs) at scale is a massive engineering challenge because of Key-Value (KV) cache management. As models grow in size and reasoning capability, the KV cache footprint increases and becomes a major bottleneck for throughput and latency. For modern Transformers, this cach...
Google AI Introduces Natively Adaptive Interfaces (NAI): An Agentic Multimodal Accessibility Framework Built on Gemini for Adaptive UI Design
Google Research is proposing a new way to build accessible software with Natively Adaptive Interfaces (NAI), an agentic framework where a multimodal AI agent becomes the primary user interface and adapts the application in real time to each user’s abilities and context. Instead of shipping a fixed U...
From Brains to Builders: Architecting the AI Stack Beyond the Chatbot
In this article, we move beyond the chatbot. Discover how the real AI revolution lies in architecting full-stack "digital workers"—layering LLMs with RAG, Agents, and protocols like MCP to move from conversation to execution. Outcomes matter, not prompts.
AI algorithm enables tracking of vital white matter pathways
Opening a new window on the brainstem, a new tool reliably and finely resolves distinct nerve bundles in live diffusion MRI scans, revealing signs of injury or disease.
This Sequoia-backed lab thinks the brain is ‘the floor, not the ceiling’ for AI
AI lab Flapping Airplanes just landed $180 million in seed funding from the likes of Google Ventures, Sequoia, and Index to do something most labs have quietly given up on: making models learn like humans instead of vacuuming up the internet. The founding team, made up of brothers Ben and Asher Spec...
Qwen-Image-2.0 is Here and it Gives Nano Banana a Run for its Money
Alibaba’s Qwen has been on a roll lately, launching model after model for various use cases. For instance, it recently introduced the Qwen3-Coder-Next as an AI coding assistant for developers. This time, the AI giant is in the news yet again for its latest release – the Qwen-2.0-Image. As the name s...
The Great Indian Pivot: How Agentic AI is Redefining the "World’s Back Office"
In this article, we explore India’s strategic pivot from labor arbitrage to Agentic AI Orchestration. Discover how sovereign infrastructure and autonomous AI agents from firms like TCS are redefining global IT solutions for 2026 and beyond.
What Every Small Business Needs to Know About Agentic AI
Generative AI, as experienced using traditional chat-style interfaces, has proven to be an incredibly useful tool. Still, it has a major limitation: it sits there and waits for you to type.
A “QuitGPT” campaign is urging people to cancel their ChatGPT subscriptions
In September, Alfred Stephen, a freelance software developer in Singapore, purchased a ChatGPT Plus subscription, which costs $20 a month and offers more access to advanced models, to speed up his work. But he grew frustrated with the chatbot’s coding abilities and its gushing, meandering replies. T...
The two patterns by which agents connect sandboxes
Thank you to Nuno Campos from Witan Labs, Tomas Beran and Mikayel Harutyunyan from E2B, Jonathan Wall from Runloop, and Ben Guo from Zo Computer for their review and comments.TL;DR:More and more agents need a workspace: a computer where they can run code, install packages, and access