Hyperscale Data Announced the Launch of Omnipresent Robotics
Wholly Owned Subsidiary to Begin U.S. Commercial Rollout; New Initiative May Offer Potential Upside Beyond Previously Announced $180-200 Million 2026 Revenue Target Hyperscale Data, Inc. (NYSE American: GPUS), an artificial intelligence (“AI“) data center company anchored by Bitcoin (“Hyperscale Dat...
Netwrix Expands 1Secure to Control AI Agent Data Access
New capabilities help organizations identify how AI agents inherit identity permissions to access sensitive data across hybrid environments. Netwrix, a recognized leader in identity and data security, today announced new capabilities in the Netwrix 1Secure platform that provide visibility and govern...
LlamaIndex Releases LiteParse: A CLI and TypeScript-Native Library for Spatial PDF Parsing in AI Agent Workflows
In the current landscape of Retrieval-Augmented Generation (RAG), the primary bottleneck for developers is no longer the large language model (LLM) itself, but the data ingestion pipeline. For software developers, converting complex PDFs into a format that an LLM can reason over remains a high-laten...
Frayed RoPE and Long Inputs: A Geometric Perspective
arXiv:2603.18017v1 Announce Type: new
Abstract: Rotary Positional Embedding (RoPE) is a widely adopted technique for encoding position in language models, which, while effective, causes performance breakdown when input length exceeds training length. Prior analyses assert (rightly) that long inputs...
Engineering Verifiable Modularity in Transformers via Per-Layer Supervision
arXiv:2603.18029v1 Announce Type: new
Abstract: Transformers resist surgical control. Ablating an attention head identified as critical for capitalization produces minimal behavioral change because distributed redundancy compensates for damage. This Hydra effect renders interpretability illusory: w...
InfoMamba: An Attention-Free Hybrid Mamba-Transformer Model
arXiv:2603.18031v1 Announce Type: new
Abstract: Balancing fine-grained local modeling with long-range dependency capture under computational constraints remains a central challenge in sequence modeling. While Transformers provide strong token mixing, they suffer from quadratic complexity, whereas M...
Taming Epilepsy: Mean Field Control of Whole-Brain Dynamics
arXiv:2603.18035v1 Announce Type: new
Abstract: Controlling the high-dimensional neural dynamics during epileptic seizures remains a significant challenge due to the nonlinear characteristics and complex connectivity of the brain. In this paper, we propose a novel framework, namely Graph-Regularize...
DEAF: A Benchmark for Diagnostic Evaluation of Acoustic Faithfulness in Audio Language Models
arXiv:2603.18048v1 Announce Type: new
Abstract: Recent Audio Multimodal Large Language Models (Audio MLLMs) demonstrate impressive performance on speech benchmarks, yet it remains unclear whether these models genuinely process acoustic signals or rely on text-based semantic inference. To systematic...
arXiv:2603.18073v1 Announce Type: new
Abstract: Modern language model-based AI systems are remarkably powerful, yet their capabilities remain fundamentally capped by their human creators in three key ways. First, although a model's weights can be updated via fine-tuning, acquiring new knowledge fro...
Multi-Trait Subspace Steering to Reveal the Dark Side of Human-AI Interaction
arXiv:2603.18085v1 Announce Type: new
Abstract: Recent incidents have highlighted alarming cases where human-AI interactions led to negative psychological outcomes, including mental health crises and even user harm. As LLMs serve as sources of guidance, emotional support, and even informal therapy,...
Adaptive Domain Models: Bayesian Evolution, Warm Rotation, and Principled Training for Geometric and Neuromorphic AI
arXiv:2603.18104v1 Announce Type: new
Abstract: Prevailing AI training infrastructure assumes reverse-mode automatic differentiation over IEEE-754 arithmetic. The memory overhead of training relative to inference, optimizer complexity, and structural degradation of geometric properties through trai...
Don't Vibe Code, Do Skele-Code: Interactive No-Code Notebooks for Subject Matter Experts to Build Lower-Cost Agentic Workflows
arXiv:2603.18122v1 Announce Type: new
Abstract: Skele-Code is a natural-language and graph-based interface for building workflows with AI agents, designed especially for less or non-technical users. It supports incremental, interactive notebook-style development, and each step is converted to code ...
Google Colab Now Has an Open-Source MCP (Model Context Protocol) Server: Use Colab Runtimes with GPUs from Any Local AI Agent
Google has officially released the Colab MCP Server, an implementation of the Model Context Protocol (MCP) that enables AI agents to interact directly with the Google Colab environment. This integration moves beyond simple code generation by providing agents with programmatic access to create, modif...
Claude Skills Explained: Build, Configure, and Use Custom Skills on Claude Code
If you regularly use AI, especially for coding, you know there is an obvious upgrade to the usual to-and-fro in chats. What if you could save a particular workflow in AI and run it without writing a super-long prompt every time you need it? Claude Skills now lets you do exactly that. This nifty litt...
Online bot traffic will exceed human traffic by 2027, Cloudflare CEO says
AI bots may outnumber humans online by 2027, says Cloudflare CEO Matthew Prince, as generative AI agents dramatically increase web traffic and infrastructure demands.
Meta rolls out new AI content enforcement systems while reducing reliance on third-party vendors
Meta believes these AI systems can detect more violations with greater accuracy, better prevent scams, respond more quickly to real-world events, and reduce over-enforcement.
Tan Wang | Software Engineer, Agent FoundationsOver the last year, Pinterest has gone from “MCP sounds interesting” to running a growing ecosystem of Model Context Protocol (MCP) servers, a central registry, and production integrations in our IDEs, internal chat surfaces, and AI agents. This post wa...
Goose is a free, open-source AI agent that goes beyond code suggestions to autonomously execute tasks, letting you automate development workflows directly on your machine.
NetApp Unveils New High-Performance EF-Series Models
New systems deliver proven and affordable high-performance for most demanding workloads including AI, HPC and databases NetApp® (NASDAQ: NTAP), the Intelligent Data Infrastructure company, today announced the release of the next generation of NetApp EF-Series storage systems, built to power the most...
GTC 2026: MSI Bridges Cloud and Edge for End-to-End AI
MSI, a global leader in high-performance server solutions and Edge AI, unveils its comprehensive AI ecosystem at NVIDIA GTC 2026. In addition to launching the servers based on NVIDIA MGX architecture and powered by the NVIDIA Blackwell GPUs, MSI introduces the XpertStation WS300, built on NVIDIA DGX...
How can life sciences organizations overcome rising costs, regulatory complexity, and data silos to bring therapies to market faster, without compromising patient safety, and could AI be the key to doing so responsibly?
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