Survey Reveals AI Advances in Telecom: Networks and Automation in Driver’s Seat as Return on Investment Climbs
AI is accelerating the telecommunications industry’s transformation, becoming the backbone of autonomous networks and AI-native wireless infrastructure. At the same time, the technology is unlocking new business and revenue opportunities, as telecom operators accelerate AI adoption across consumers,...
For open-source programs, AI coding tools are a mixed blessing
AI coding tools have enabled a flood of bad code that threatens to overwhelm many projects. Building new features is easier but maintaining them is just as hard.
AlpamayoR1: Large Causal Reasoning Models for Autonomous Driving
All you need to know about Chain of Causation reasoning and the current state of Autonomous Driving!
The post AlpamayoR1: Large Causal Reasoning Models for Autonomous Driving appeared first on Towards Data Science.
Packaging Expertise: How Claude Skills Turn Judgment Into Artifacts
Think about what happens when you onboard a new employee. First, you provision them tools. Email access. Slack. CRM. Office software. Project management software. Development environment. Connecting a person to the system they’ll need to do their job. However, this is necessary but not sufficient. N...
Have you ever tried connecting a language model to your own data or tools? If so, you know it often means writing custom integrations, managing API schemas, and wrestling with authentication.
Addy Osmani is one of my favorite people to talk with about the state of software engineering with AI. He spent 14 years leading Chrome’s developer experience team at Google, and recently moved to Google Cloud AI to focus on Gemini and agent development. He’s also the author of numerous books for O’...
Clario Leads Responsible AI with ISO 42001, audited by Schellman
Clario, a leading provider of endpoint data solutions to the clinical trials industry, today announced that its artificial intelligence (AI) management system has been certified to the ISO 42001:2023 standard, following a rigorous audit conducted by Schellman, a globally recognized certification bod...
CircleCI Publishes 2026 State of Software Delivery
Validation at scale becomes a key factor for top teams that more than double throughput year-over-year CircleCI, the leading software delivery platform for teams to ship confidently at AI speed, today unveiled its 2026 State of Software Delivery report. Based on the analysis of more than 28 million ...
Manifest Appoints Greg Armor as CRO to Scale Global Go-to-Market
Armor to drive organizational strategy as Manifest expands adoption across commercial and public sector segments. Manifest, the leading platform for software and AI supply chain security, announced that Greg Armor has joined the company as chief revenue officer (CRO). In this role, Armor will lead g...
Cycore is one of the first security firms to fully support AI-first frameworks ISO 42001, NIST AI RMF, and the EU AI Act. Cycore, the AI-powered cybersecurity and compliance services firm, today announces the expansion of its AI governance offerings: ISO 42001, the NIST AI Risk Management Framework ...
New program delivers predictable cloud storage, meaningful credits, and hands-on human support for early-stage teams Backblaze, Inc. (Nasdaq: BLZE), the high-performance cloud storage platform for the AI era, today announced the launch of Backblaze Flamethrower, a new startup program designed to hel...
Joint solution combines F5’s Application Delivery and Security Platform with Scality’s S3-compatible scale-out object storage to accelerate AI and data-driven applications across hybrid-cloud environments\ F5 (NASDAQ: FFIV), the global leader in delivering and securing every app and API, and Scality...
Zyphra Releases ZUNA: A 380M-Parameter BCI Foundation Model for EEG Data, Advancing Noninvasive Thought-to-Text Development
Brain-computer interfaces (BCIs) are finally having their ‘foundation model’ moment. Zyphra, a research lab focused on large-scale models, recently released ZUNA, a 380M-parameter foundation model specifically for EEG signals. ZUNA is a masked diffusion auto-encoder designed to perform channel infil...
A Koopman-Bayesian Framework for High-Fidelity, Perceptually Optimized Haptic Surgical Simulation
arXiv:2602.15834v1 Announce Type: new
Abstract: We introduce a unified framework that combines nonlinear dynamics, perceptual psychophysics and high frequency haptic rendering to enhance realism in surgical simulation. The interaction of the surgical device with soft tissue is elevated to an augmen...
Memes-as-Replies: Can Models Select Humorous Manga Panel Responses?
arXiv:2602.15842v1 Announce Type: new
Abstract: Memes are a popular element of modern web communication, used not only as static artifacts but also as interactive replies within conversations. While computational research has focused on analyzing the intrinsic properties of memes, the dynamic and c...
Kalman-Inspired Runtime Stability and Recovery in Hybrid Reasoning Systems
arXiv:2602.15855v1 Announce Type: new
Abstract: Hybrid reasoning systems that combine learned components with model-based inference are increasingly deployed in tool-augmented decision loops, yet their runtime behavior under partial observability and sustained evidence mismatch remains poorly under...
arXiv:2602.15877v1 Announce Type: new
Abstract: Generalized Additive Models (GAMs) balance predictive accuracy and interpretability, but manually configuring their structure is challenging. We propose using the multi-objective genetic algorithm NSGA-II to automatically optimize GAMs, jointly minimi...
IT-OSE: Exploring Optimal Sample Size for Industrial Data Augmentation
arXiv:2602.15878v1 Announce Type: new
Abstract: In industrial scenarios, data augmentation is an effective approach to improve model performance. However, its benefits are not unidirectionally beneficial. There is no theoretical research or established estimation for the optimal sample size (OSS) i...
Optimization Instability in Autonomous Agentic Workflows for Clinical Symptom Detection
arXiv:2602.16037v1 Announce Type: new
Abstract: Autonomous agentic workflows that iteratively refine their own behavior hold considerable promise, yet their failure modes remain poorly characterized. We investigate optimization instability, a phenomenon in which continued autonomous improvement par...
How Uncertain Is the Grade? A Benchmark of Uncertainty Metrics for LLM-Based Automatic Assessment
arXiv:2602.16039v1 Announce Type: new
Abstract: The rapid rise of large language models (LLMs) is reshaping the landscape of automatic assessment in education. While these systems demonstrate substantial advantages in adaptability to diverse question types and flexibility in output formats, they al...
Evidence-Grounded Subspecialty Reasoning: Evaluating a Curated Clinical Intelligence Layer on the 2025 Endocrinology Board-Style Examination
arXiv:2602.16050v1 Announce Type: new
Abstract: Background: Large language models have demonstrated strong performance on general medical examinations, but subspecialty clinical reasoning remains challenging due to rapidly evolving guidelines and nuanced evidence hierarchies. Methods: We evaluated ...
Improving Interactive In-Context Learning from Natural Language Feedback
arXiv:2602.16066v1 Announce Type: new
Abstract: Adapting one's thought process based on corrective feedback is an essential ability in human learning, particularly in collaborative settings. In contrast, the current large language model training paradigm relies heavily on modeling vast, static corp...