Improving breast cancer screening workflows with machine learning
Health & Bioscience
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NVIDIA GTC 2026: The AI stack gets real
Describing the company as “The first vertically integrated but horizontally open company,” Huang positioned NVIDIA as the foundation layer for all AI workloads, while encouraging developers, enterprises, and partners to innovate openly on top. For AI professionals, this signals a shift from focusing solely on models to thinking about the systems and platforms that underpin…
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A Coding Guide to Implement Advanced Differential Equation Solvers, Stochastic Simulations, and Neural Ordinary Differential Equations Using Diffrax and JAX
In this tutorial, we explore how to solve differential equations and build neural differential equation models using the Diffrax library. We begin by setting up a clean computational environment and installing the required scientific computing libraries such as JAX, Diffrax, Equinox, and Optax. We then demonstrate how to solve ordinary differential equations using adaptive solvers…
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Meet Mamba-3: A New State Space Model Frontier with 2x Smaller States and Enhanced MIMO Decoding Hardware Efficiency
The scaling of inference-time compute has become a primary driver for Large Language Model (LLM) performance, shifting architectural focus toward inference efficiency alongside model quality. While Transformer-based architectures remain the standard, their quadratic computational complexity and linear memory requirements create significant deployment bottlenecks. A team of researchers from Carnegie Mellon University (CMU), Princeton University, Together…
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Generative AI Summit Austin, 2026
Catch up on every session from Generative AI Summit Austin,with sessions from the likes of Stability AI, Meta, Google and more.
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Tsinghua and Ant Group Researchers Unveil a Five-Layer Lifecycle-Oriented Security Framework to Mitigate Autonomous LLM Agent Vulnerabilities in OpenClaw
Autonomous LLM agents like OpenClaw are shifting the paradigm from passive assistants to proactive entities capable of executing complex, long-horizon tasks through high-privilege system access. However, a security analysis research report from Tsinghua University and Ant Group reveals that OpenClaw’s ‘kernel-plugin’ architecture—anchored by a pi-coding-agent serving as the Minimal Trusted Computing Base (TCB)—is vulnerable to…
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Baidu Qianfan Team Releases Qianfan-OCR: A 4B-Parameter Unified Document Intelligence Model
The Baidu Qianfan Team introduced Qianfan-OCR, a 4B-parameter end-to-end model designed to unify document parsing, layout analysis, and document understanding within a single vision-language architecture. Unlike traditional multi-stage OCR pipelines that chain separate modules for layout detection and text recognition, Qianfan-OCR performs direct image-to-Markdown conversion and supports prompt-driven tasks like table extraction and document question…
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NVIDIA AI Open-Sources ‘OpenShell’: A Secure Runtime Environment for Autonomous AI Agents
The deployment of autonomous AI agents—systems capable of using tools and executing code—presents a unique security challenge. While standard LLM applications are restricted to text-based interactions, autonomous agents require access to shell environments, file systems, and network endpoints to perform tasks. This increased capability introduces significant risks, as a model’s ‘black box’ nature can lead…
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From engagement to fulfillment: How Agentic AI is rewriting product metrics
What happens to your north star metric when your best users never open your app? Not because they churned – because they delegated. A growing share of interactions with digital products in 2026 aren’t initiated by humans at all. They’re initiated by AI agents acting on human intent. And most product teams are measuring none…
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ServiceNow Research Introduces EnterpriseOps-Gym: A High-Fidelity Benchmark Designed to Evaluate Agentic Planning in Realistic Enterprise Settings
Large language models (LLMs) are transitioning from conversational to autonomous agents capable of executing complex professional workflows. However, their deployment in enterprise environments remains limited by the lack of benchmarks that capture the specific challenges of professional settings: long-horizon planning, persistent state changes, and strict access protocols. To address this, researchers from ServiceNow Research, Mila…
