Hundreds of millions of people now use chatbots every day. And yet the large language models that drive them are so complicated that nobody really understands what they are, how they work, or exactly what they can and can’t do—not even the people who build them. Weird, right? It’s also a problem. Wi...
Chatbots are skilled at crafting sophisticated dialogue and mimicking empathetic behavior. They never get tired of chatting. It’s no wonder, then, that so many people now use them for companionship—forging friendships or even romantic relationships. According to a study from the nonprofit Common Se...
Generative AI’s ability to write software code has quickly created one of the technology’s first real use cases for business. Professional software engineers and novices alike are using AI coding assistants to produce, test, edit, and debug code, reducing the amount of time it takes to complete the ...
Torq Secures $140M Series D at $1.2B Valuation to Lead AI SOC, Agentic AI Era
Fueled by Massive Customer Adoption of AI Agents, Torq Scales the World’s First True AI SOC Platform and Accelerates Expansion into the U.S. Federal Market Torq, the established Agentic AI security operations pioneer, today announced it has closed a massive $140 million Series D funding round, prope...
Nerdio Appoints Scott Manchester as Chief Product and Technology Officer
Nerdio, the automated end-user computing (EUC) platform transforming how organizations deploy and manage Microsoft Cloud technologies, today announced Scott Manchester as its new Chief Product & Technology Officer (CPTO). Manchester will lead Nerdio’s end-to-end product and technology strategy, unif...
CyberCube Forecasts AI Reality Check Amid Rapid Change in Cyber Insurance
Artificial Intelligence (AI) will continue to dominate boardroom conversations — not just as an enabler, but as a disruptive force that reveals who has embraced disciplined adoption and who risks falling behind, according to a new CyberCube report. Each year, CyberCube’s experts analyze emerging tre...
AmplifyMD Names Stephen Klasko and Rod Hochman to Board and Advisory Team
Former Jefferson Health and Providence CEOs join AmplifyMD to accelerate the modernization of specialty care delivery across health systems. AmplifyMD, the AI-enabled multispecialty virtual care platform transforming how health systems scale physician capacity, today announced the appointment of tw...
Algolia takes on the Next Era of AI-Driven Retail at NRF 2026
Featuring Algolia Board Member Bernadette Nixon with David Clark, Chief Customer Officer at Frasers Group, and Jennifer Myers, Microsoft Shopping, to discuss how AI agents and adaptive commerce are reshaping retail Algolia, the AI Search and Retrieval platform trusted by more than 18,000 businesses ...
Illumina and PREMIA partner to expand clinical access to CGP in Asia
Illumina Taiwan Biotechnology Co., Ltd., and Precision Medicine Asia, Limited (PREMIA), a leading Asian cancer clinical-genomic screening network, today announced the formation of a strategic partnership that will expand access to comprehensive genomic profiling (CGP) for all eligible oncology patie...
Community-driven initiative provides a foundation for collaborative, extensible data platforms Percona, a leader in enterprise-grade open source database software, support, and services, today announced the transition of Percona Everest into an independent open source project called OpenEverest, the...
The platform surpasses 1,100 clinics and 900,000 patients, delivering up to 80% reduction in processing time. Murj®, a cardiac device management software company, today announced record year-over-year growth for the third consecutive year. The company software is now being used by more than 1,100 cl...
Informatica Leads 2026 Gartner MQ for Data & Analytics Platforms
Informatica from Salesforce, a leader in enterprise AI-powered cloud data management, today announced it has been named a Leader in the Gartner® Magic Quadrant™ for Data and Analytics Governance Platforms. The evaluation was based on criteria which analyzed the company’s overall Completeness of Visi...
Amera IoT’s Breakthrough in Quantum-Proof Encryption with 14 U.S. Patents
Amera IoT, a cybersecurity innovator, today announced a major breakthrough in quantum-proof encryption with the launch of AmeraKey® Encryption, a patented technology designed to secure digital communications against both current and future computing threats, including quantum computing. AmeraKey Enc...
Tidal Cyber Appoints Jessica Hall as Vice President of Product
Appointment supports rapid platform expansion and continued innovation in Threat-Led Defense Tidal Cyber, the creator of the Threat-Led Defense category, today announced the appointment of Jessica Hall as Vice President of Product. Hall will lead product development and execution as the company acce...
MoEBlaze: Breaking the Memory Wall for Efficient MoE Training on Modern GPUs
arXiv:2601.05296v1 Announce Type: new
Abstract: The pervasive "memory wall" bottleneck is significantly amplified in modern large-scale Mixture-of-Experts (MoE) architectures. MoE's inherent architectural sparsity leads to sparse arithmetic compute and also introduces substantial activation memory ...
TIME: Temporally Intelligent Meta-reasoning Engine for Context Triggered Explicit Reasoning
arXiv:2601.05300v1 Announce Type: new
Abstract: Reasoning oriented large language models often expose explicit "thinking" as long, turn-global traces at the start of every response, either always on or toggled externally at inference time. While useful for arithmetic, programming, and problem solvi...
Ontology Neural Networks for Topologically Conditioned Constraint Satisfaction
arXiv:2601.05304v1 Announce Type: new
Abstract: Neuro-symbolic reasoning systems face fundamental challenges in maintaining semantic coherence while satisfying physical and logical constraints. Building upon our previous work on Ontology Neural Networks, we present an enhanced framework that integr...
When the Server Steps In: Calibrated Updates for Fair Federated Learning
arXiv:2601.05352v1 Announce Type: new
Abstract: Federated learning (FL) has emerged as a transformative distributed learning paradigm, enabling multiple clients to collaboratively train a global model under the coordination of a central server without sharing their raw training data. While FL offer...
GlyRAG: Context-Aware Retrieval-Augmented Framework for Blood Glucose Forecasting
arXiv:2601.05353v1 Announce Type: new
Abstract: Accurate forecasting of blood glucose from CGM is essential for preventing dysglycemic events, thus enabling proactive diabetes management. However, current forecasting models treat blood glucose readings captured using CGMs as a numerical sequence, e...
Naiad: Novel Agentic Intelligent Autonomous System for Inland Water Monitoring
arXiv:2601.05256v1 Announce Type: new
Abstract: Inland water monitoring is vital for safeguarding public health and ecosystems, enabling timely interventions to mitigate risks. Existing methods often address isolated sub-problems such as cyanobacteria, chlorophyll, or other quality indicators separ...
Mathematical Knowledge Graph-Driven Framework for Equation-Based Predictive and Reliable Additive Manufacturing
arXiv:2601.05298v1 Announce Type: new
Abstract: Additive manufacturing (AM) relies critically on understanding and extrapolating process-property relationships; however, existing data-driven approaches remain limited by fragmented knowledge representations and unreliable extrapolation under sparse ...
Effects of personality steering on cooperative behavior in Large Language Model agents
arXiv:2601.05302v1 Announce Type: new
Abstract: Large language models (LLMs) are increasingly used as autonomous agents in strategic and social interactions. Although recent studies suggest that assigning personality traits to LLMs can influence their behavior, how personality steering affects coop...
Improving Enzyme Prediction with Chemical Reaction Equations by Hypergraph-Enhanced Knowledge Graph Embeddings
arXiv:2601.05330v1 Announce Type: new
Abstract: Predicting enzyme-substrate interactions has long been a fundamental problem in biochemistry and metabolic engineering. While existing methods could leverage databases of expert-curated enzyme-substrate pairs for models to learn from known pair intera...
The Persona Paradox: Medical Personas as Behavioral Priors in Clinical Language Models
arXiv:2601.05376v1 Announce Type: new
Abstract: Persona conditioning can be viewed as a behavioral prior for large language models (LLMs) and is often assumed to confer expertise and improve safety in a monotonic manner. However, its effects on high-stakes clinical decision-making remain poorly cha...