AI agents execute tens to hundreds of chained LLM calls per task, yet GPU schedulers treat each call as independent, discarding gigabytes of intermediate state ...
AI agents are moving into production. But who's securing them? The Problem: Unsecured AI Agents When an AI agent goes wrong, it goes really wrong: - Prompt inje...
Leveraging continuous solar energy harvesting at high efficiency, space data centers are envisioned as a promising platform for executing energy-intensive large...
Intelligence Processing Units (IPU) have proven useful for many AI applications. In this paper, we evaluate them within the emerging field of AI for simulation,...
No AI Model Can Carry a Creative Project End‑to‑End. The HCB Just Proved It. Subtitle: Contra Labs ran 15 AI models through 93 prompts across 5 creative domain...
Code generation, which aims to automatically generate source code from given programming requirements, has the potential to substantially improve software devel...
Agent skills -- structured packages of instructions, scripts, and references that augment a large language model (LLM) without modifying the model itself -- hav...
Spiking Neural Networks (SNNs) provide a promising framework for energy-efficient and biologically grounded computation; however, scalable learning in deep recu...
The human brain remains one of the most fascinating and perplexing mysteries in medicine. Scientists still struggle to match neurological activity with brain fu...
When she was a child, MIT senior Olivia Honeycutt would spend summers on her grandparents’ farm in rural Alabama outside Birmingham. The practical and cultural...
High-capacity associative memories based on Kernel Logistic Regression (KLR) exhibit strong storage capabilities, but the dynamical and geometric mechanisms und...
India has emerged as the largest user base for ChatGPT Images 2.0 since its launch last weekhttps://techcrunch.com/2026/04/21/chatgpts-new-images-2-0-model-is-s...
markdown April 15, 2026 Subagents Overview Subagents allow Gemini CLI to delegate complex, repetitive, or high‑volume tasks to specialized expert agents. Each s...
Public inference benchmarks compare AI systems at the model and provider level, but the unit at which deployment decisions are actually made is the endpoint: th...
'John Laurenson – Business Reporter, Paris
Key Highlights Google has announced the general availability of Gemini Embedding 2, a unified model that maps text, images, video, audio, and documents into a...
Study Overview A new study from Harvard Medical School and Beth Israel Deaconess found that an OpenAI reasoning model outperformed experienced ER doctors at di...
One of the key challenges of building effective AI agents Teaching agents to choose between using external tools or relying on their internal knowledge is diff...
!https://www.androidauthority.com/wp-content/uploads/2024/02/Google-Gemini-logo-on-smartphone-stock-photo-1.jpg TL;DR - Google is expanding Gemini notebooks to...
In Brief Posted: 12:27 PM PDT · April 30, 2026 !Screenshot of Cyber announcementhttps://techcrunch.com/wp-content/uploads/2026/04/Screenshot-2026-04-14-at-7.00...
!https://www.androidauthority.com/wp-content/uploads/2025/06/chatgpt-reminders-scaled.jpg TL;DR - ChatGPT has been mentioning goblins unusually frequently for s...
Study Overview Artificial intelligencehttps://mashable.com/category/artificial-intelligence that can “reason” is now capable of diagnosing real‑life medical sc...
Testimony In a federal courtroom in California on Thursday, Elon Musk testified that his own AI startup, xAI, has used OpenAI's models to improve its own. The...
Background OpenAI and Anthropic have recently been on the warpath against third‑party efforts to train new AI models by prompting their publicly accessible cha...
Driving world models serve as a pivotal technology for autonomous driving by simulating environmental dynamics. However, existing approaches predominantly focus...
Human-robot collaboration has been studied primarily in dyadic or sequential settings. However, real homes require multiadic collaboration, where multiple human...
Reconstructing 3D scenes from sparse, unposed images remains challenging under real-world conditions with varying illumination and transient occlusions. Existin...
Vision-Language-Action (VLA) models have increasingly incorporated reasoning mechanisms for complex robotic manipulation. However, existing approaches share a c...
We show that Fréchet Distance (FD), long considered impractical as a training objective, can in fact be effectively optimized in the representation space. Our i...
Most familiar equilibrium concepts, such as Nash and correlated equilibrium, guarantee only that no single player can improve their utility by deviating unilate...
Recent visual generation models have made major progress in photorealism, typography, instruction following, and interactive editing, yet they still struggle wi...
Reinforcement learning (RL) has become essential to the post-training of large language models (LLMs) for reasoning, agentic capabilities and alignment. Success...
Realistic long-horizon productivity work is strongly conditioned on user-specific computer environments, where much of the work context is stored and organized ...
In recent years, physics-informed neural networks (PINNs) have gained significant attention for solving differential equations, although they suffer from two fu...
Bronchoscopic navigation relies on registering endoscopic video to a preoperative CT scan, but respiratory motion deforms the airway by 5-20 mm, creating CT-to-...
Electroencephalogram (EEG) signals are vital for automated seizure detection, but their inherent noise makes robust representation learning challenging. Existin...
We introduce AEGIS, A holistic benchmark for Evaluating forensic analysis of AI-Generated academic ImageS. Compared to existing benchmarks, AEGIS features three...
Machine learning models can learn from data samples to carry out various tasks efficiently. When data samples are adversarially manipulated, such as by insertio...
Machine learning (ML) inference serving systems host deep neural network (DNN) models and schedule incoming inference requests across deployed GPUs. However, li...
Effective human behavior modeling requires a representation of the human body movement that capitalizes on its compositionality. We propose a hierarchical repre...
Modern video diffusion models excel at appearance synthesis but still struggle with physical consistency: objects drift, collisions lack realistic rebound, and ...
In this study, we use machine learning to classify and interpolate the phase structure of the Vicsek flocking model across the three-dimensional parameter space...
The proliferation of capable and efficient machine learning (ML) models marks one of the strongest methodological shifts in signal processing (SP) in its nearly...
Existing research infrastructure is fundamentally document-centric, providing citation links between papers but lacking explicit representations of methodologic...
We present FlexiTac, a low-cost, open-source, and scalable piezoresistive tactile sensing solution designed for robotic end-effectors. FlexiTac is a practical '...
Surprisal theory links human processing effort to the predictability of an upcoming linguistic unit, but empirical work often leaves the notion of a unit unders...
LLM agents are expected to complete end-to-end units of work across software tools, business services, and local workspaces. Yet many agent benchmarks freeze a ...
Autonomous agents act through sandboxed containers and microVMs whose state spans filesystems, processes, and runtime artifacts. Checkpoint and restore (C/R) of...
