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...
ADX, Saal.ai collaborate to design innovative platform for market data dissemination
The Abu Dhabi Securities Exchange (ADX) and Saal.ai announced a strategic collaboration under which Saal.ai has been engaged to support the design and implementation of a next-generation market data dissemination platform for ADX. The announcement was made on the sidelines of UMEX, held at ADNEC in ...
Saal was pleased to exhibit at the IDC Excellence Awards Symposium, which brought together 170 industry leaders.The event spotlighted key themes shaping the future of technology, including AI, digital modernization, AI-powered platforms, real-world AI use cases, and cybersecurity in the age of AI. I...
Tavus Launches Phoenix-4: A Gaussian-Diffusion Model Bringing Real-Time Emotional Intelligence And Sub-600ms Latency To Generative Video AI
The ‘uncanny valley’ is the final frontier for generative video. We have seen AI avatars that can talk, but they often lack the soul of human interaction. They suffer from stiff movements and a lack of emotional context. Tavus aims to fix this with the launch of Phoenix-4, a new generative AI model ...
Is your startup’s check engine light on? Google Cloud’s VP explains what to do
Startup founders are being pushed to move faster than ever, using AI while facing tighter funding, rising infrastructure costs, and more pressure to show real traction early. Cloud credits, access to GPUs, and foundation models have made it easier to get started, but those early infrastructure choic...
When your warehouse and transportation teams blame each other for late deliveries, who's right? We can ask an agent connected to the data settle the debate.
The post Can AI Solve Failures in Your Supply Chain? appeared first on Towards Data Science.
Google Cloud’s VP for startups on reading your ‘check engine light’ before it’s too late
Startup founders are being pushed to move faster than ever, using AI while facing tighter funding, rising infrastructure costs, and more pressure to show real traction early. Cloud credits, access to GPUs, and foundation models have made it easier to get started, but those early infrastructure choic...
Google DeepMind Releases Lyria 3: An Advanced Music Generation AI Model that Turns Photos and Text into Custom Tracks with Included Lyrics and Vocals
Google DeepMind is pushing the boundaries of generative AI again. This time, the focus is not on text or images. It is on music. The Google team recently introduced Lyria 3, their most advanced music generation model to date. Lyria 3 represents a significant shift in how machines handle complex audi...
Building Cost-Efficient Agentic RAG on Long-Text Documents in SQL Tables
Designing a hybrid SQL + vector retrieval system without schema changes, data migration, or performance trade-offs
The post Building Cost-Efficient Agentic RAG on Long-Text Documents in SQL Tables appeared first on Towards Data Science.