BrightInsight Strengthens Executive Leadership Team with Three Key Hires
BrightInsight, Inc., the leading global platform for biopharma digital health solutions, today announced the appointment of three industry veterans to its Executive Leadership Team (ELT). Joining the company are Robert Zdon as Chief Operating Officer, Eric Redline as Senior Vice President of Market ...
John Snow Labs Introduces First FDA-Ready Patient Journey Platform
Designed from day one for secondary use of multimodal, longitudinal patient data, PJI embeds regulatory-grade governance and transparency into every patient journey John Snow Labs, a healthcare AI company, today announced that its Patient Journey Intelligence (PJI) platform is the first secondary-us...
iboss Advances SaaS Security Posture Management with AI
AI-Powered SSPM capability continuously analyzes SaaS applications via API to expose misconfigurations, strengthen Zero Trust strategies, and lower breach risk. iboss, a leading Zero Trust Secure Access Service Edge (SASE) cloud security platform, today announced SSPM, an AI-powered SaaS Security Po...
In our latest podcast, hear how the “Smokejumpers” team brings Gemini to billions of people.
The latest episode of the Google AI: Release Notes podcast focuses on how the Gemini team built one of the world’s leading AI coding models.Host Logan Kilpatrick chats w…
Interwell Health Appoints Dr. Carney Taylor as Chief Medical Officer
Accomplished nephrologist to guide clinical strategy as value-based kidney care leader drives accelerated growth Interwell Health, a national leader in value-based kidney care and operating segment of Fresenius Medical Care, has named Carney Taylor, MD, MBA, as chief medical officer to guide clinica...
Peer AI Appoints David Florez as Vice President of Sales
Company adds executive sales leader as its customer base grows andmore companies move from AI pilots to production across their regulatory workflows Peer AI, a leading agentic AI platform for life sciences regulatory documentation, today announced the appointment of David Florez as vice president of...
Health Chain names Eric Rosow CEO, and Reed Perry Chief Commercial Officer
Health Chain, Inc., a FHIR-native health data management platform, today announced the appointment of Eric Rosow as Chief Executive Officer and Reed Perry as Chief Commercial Officer. The leadership appointments mark a new chapter for the company as it expands its focus on enterprise interoperabilit...
IFS Delivers Exceptional FY2025 Growth as Industrial AI Scales
Market-leading ARR growth, margin expansion and net retention underscore accelerating adoption of purpose-built Industrial AI Key highlights FY2025 IFS, the leading provider of Industrial AI software, today announced its financial results for the fiscal year ending December 31, 2025, delivering 23% ...
The new program helps customers reach transformative AI outcomes faster News summary: Today, Cisco (NASDAQ: CSCO) announced the launch of the Cisco 360 Partner Program after fifteen months of co-design with partners. Cisco’s success is built on close collaboration with its partners to meet custome...
New Agent Builder cuts time to production by up to 50% and reduces early production issues by 20% Wonderful teams up with frontier AI lab Anthropic to build the foundations for enterprises managing entire networks of agents at scale Wonderful, the enterprise agent platform, today announced the launc...
Radware Acquires Pynt to Strengthen Full-Lifecycle API Security
Acquisition adds API security testing to Radware’s comprehensive API security portfolio, extending protection to all stages of the API lifecycle Radware® (NASDAQ: RDWR), a global leader in application security and delivery solutions for multi-cloud environments, today announced it has completed the ...
arXiv:2601.16984v1 Announce Type: new
Abstract: The 3rd Generation Partnership Project (3GPP) produces complex technical specifications essential to global telecommunications, yet their hierarchical structure, dense formatting, and multi-modal content make them difficult to process. While Large Lan...
Sparsity-Aware Low-Rank Representation for Efficient Fine-Tuning of Large Language Models
arXiv:2601.16991v1 Announce Type: new
Abstract: Adapting large pre-trained language models to downstream tasks often entails fine-tuning millions of parameters or deploying costly dense weight updates, which hinders their use in resource-constrained environments. Low-rank Adaptation (LoRA) reduces ...
MathMixup: Boosting LLM Mathematical Reasoning with Difficulty-Controllable Data Synthesis and Curriculum Learning
arXiv:2601.17006v1 Announce Type: new
Abstract: In mathematical reasoning tasks, the advancement of Large Language Models (LLMs) relies heavily on high-quality training data with clearly defined and well-graded difficulty levels. However, existing data synthesis methods often suffer from limited di...
Interpreting Agentic Systems: Beyond Model Explanations to System-Level Accountability
arXiv:2601.17168v1 Announce Type: new
Abstract: Agentic systems have transformed how Large Language Models (LLMs) can be leveraged to create autonomous systems with goal-directed behaviors, consisting of multi-step planning and the ability to interact with different environments. These systems diff...
High-Fidelity Longitudinal Patient Simulation Using Real-World Data
arXiv:2601.17310v1 Announce Type: new
Abstract: Simulation is a powerful tool for exploring uncertainty. Its potential in clinical medicine is transformative and includes personalized treatment planning and virtual clinical trials. However, simulating patient trajectories is challenging because of ...
arXiv:2601.17311v1 Announce Type: new
Abstract: Multi-agent systems can improve reliability, yet under a fixed inference budget they often help, saturate, or even collapse. We develop a minimal and calibratable theory that predicts these regimes from three binding constraints of modern agent stacks...
Principled Coarse-Grained Acceptance for Speculative Decoding in Speech
Speculative decoding accelerates autoregressive speech generation by letting a fast draft model propose tokens that a larger target model verifies. However, for speech LLMs that generate acoustic tokens, exact token matching is overly restrictive: many discrete tokens are acoustically or semanticall...
SelfReflect: Can LLMs Communicate Their Internal Answer Distribution?
The common approach to communicate a large language model’s (LLM) uncertainty is to add a percentage number or a hedging word to its response. But is this all we can do? Instead of generating a single answer and then hedging it, an LLM that is fully transparent to the user needs to be able to reflec...
Learning to Reason as Action Abstractions with Scalable Mid-Training RL
Large language models excel with reinforcement learning (RL), but fully unlocking this potential requires a mid-training stage. An effective mid-training phase should identify a compact set of useful actions and enable fast selection among them through online RL. We formalize this intuition by prese...