AI-enhanced cloud offerings deliver enterprise-grade expertise with flexible tiers designed to meet organizations wherever they are in their cloud journey Presidio, a leading technology services and solutions provider, today announced Adaptive Cloud Services, a suite of intelligent, AI-enhanced clou...
Avoiding Overfitting, Class Imbalance, & Feature Scaling Issues: The Machine Learning Practitioner’s Notebook
Machine learning practitioners encounter three persistent challenges that can undermine model performance: overfitting, class imbalance, and feature scaling issues.
A breakthrough prospective research model that unites proprietary data, real-world clinical evidence, expert determination, and integrated storage in one solution Truveta, the health system-led data and analytics company, today announced Truveta Live Link, an innovative prospective research solution...
C‑Suite 2.0: AI Smartglasses are a Productivity Edge Leaders Can’t Ignore
Smartglasses are becoming the new executive edge. Lucyd CEO Harrison Gross explores how AI eyewear eliminates screen distractions and helps leaders reclaim focus and presence. The modern workday is a relay of notifications, dashboards, and hallway conversations that constantly pull leaders out of th...
Illumina introduces Billion Cell Atlas to accelerate AI and drug discovery
The Atlas will enable the validation of genetic targets and training of AI models at unprecedented scale Illumina, Inc. (NASDAQ: ILMN) today introduced the world’s largest genome-wide genetic perturbation dataset, being built to accelerate drug discovery through AI across the pharmaceutical ecosyste...
A performance reel. Instagram, TikTok, and Facebook accounts. A separate contact email for enquiries. All staples of an actor’s website. Except these all belong to Tilly Norwood, an AI “actor.” This creation represents one of the newer AI trends, which is AI “artists” that eerily represent real huma...
Topic Modeling Techniques for 2026: Seeded Modeling, LLM Integration, and Data Summaries
Seeded topic modeling, integration with LLMs, and training on summarized data are the fresh parts of the NLP toolkit.
The post Topic Modeling Techniques for 2026: Seeded Modeling, LLM Integration, and Data Summaries appeared first on Towards Data Science.
CloudMasonry Launches Data & AI Practice Under Leadership of Landon Harris
Leading Salesforce consulting partner expands cross-cloud capabilities to help clients harness data, AI and analytics to drive transformation and growth. CloudMasonry (website:https://cloudmasonry.com) today announced the formal launch of its Data & AI Practice, and the appointment of Landon Harris ...
AVAIO Digital Launches AI-Ready Data Center Campus in Little Rock, Arkansas
AVAIO announces a major new data center campus that could grow to 1 GW with both grid and onsite power, supporting regional economic development AVAIO Digital Partners (AVAIO Digital) announced today a major new data center hub near Little Rock in Pulaski County, Arkansas – AVAIO Digital Leo – that ...
Genpact Research: 12% of Enterprises Lead the Autonomous Future
New research reveals four critical enablers to moving beyond AI experimentation to build the foundation of the autonomous enterprise Genpact (NYSE: G), an agentic and advanced technology solutions company, today released new research showing how leading organizations leverage artificial intelligence...
LLMs like ChatGPT, Claude, and Gemini, are often considered intelligent because they seem to recall past conversations. The model acts as if it got the point, even after you made a follow-up question. This is where LLM memory comes in handy. It allows a chatbot to go back to the point of what “it” o...
ThreatQuotient Celebrates Award-Winning Year of Innovation and Expansion
ThreatQuotient Honored with Seven Prestigious Awards Showcasing Leadership in Threat Detection and Response ThreatQuotient, a Securonix company and leader in threat intelligence platforms, hasexperienced an exceptional year of innovation and development. This has been driven by remarkable achieveme...
Nesa Listed in Epic Toolbox for Inpatient Virtual Care for 2026
Nesa, a leading AI-powered virtual care platform purpose-built for seamless Epic integration, today announced it is listed in Epic Toolbox for Inpatient Virtual Care for 2026. Nesa is in Toolbox and meets Epic’s recommended practices for Inpatient Virtual Care integrations. Nesa’s Toolbox designatio...
Google AI Releases MedGemma-1.5: The Latest Update to their Open Medical AI Models for Developers
Google Research has expanded its Health AI Developer Foundations program (HAI-DEF) with the release of MedGemma-1.5. The model is released as open starting points for developers who want to build medical imaging, text and speech systems and then adapt them to local workflows and regulations. MedGemm...
Seasoned Executives Add Proven Financial and Engineering Excellence to Guide Nasuni’s Continued Growth Nasuni, a leading unstructured data management company, today announced the appointments of Jerry Carter as Chief Technology Officer and Ross Grainger as Chief Financial Officer. These additions to...
Hierarchical Sparse Plus Low Rank Compression of LLM
arXiv:2601.07839v1 Announce Type: new
Abstract: Modern large language models (LLMs) place extraordinary pressure on memory and compute budgets, making principled compression indispensable for both deployment and continued training. We present Hierarchical Sparse Plus Low-Rank (HSS) compression, a t...
RewriteNets: End-to-End Trainable String-Rewriting for Generative Sequence Modeling
arXiv:2601.07868v1 Announce Type: new
Abstract: Dominant sequence models like the Transformer represent structure implicitly through dense attention weights, incurring quadratic complexity. We propose RewriteNets, a novel neural architecture built on an alternative paradigm: explicit, parallel stri...
Multiplicative Orthogonal Sequential Editing for Language Models
arXiv:2601.07873v1 Announce Type: new
Abstract: Knowledge editing aims to efficiently modify the internal knowledge of large language models (LLMs) without compromising their other capabilities. The prevailing editing paradigm, which appends an update matrix to the original parameter matrix, has be...
Bridging the Trust Gap: Clinician-Validated Hybrid Explainable AI for Maternal Health Risk Assessment in Bangladesh
arXiv:2601.07866v1 Announce Type: new
Abstract: While machine learning shows promise for maternal health risk prediction, clinical adoption in resource-constrained settings faces a critical barrier: lack of explainability and trust. This study presents a hybrid explainable AI (XAI) framework combin...
Executable Ontologies in Game Development: From Algorithmic Control to Semantic World Modeling
arXiv:2601.07964v1 Announce Type: new
Abstract: This paper examines the application of Executable Ontologies (EO), implemented through the boldsea framework, to game development. We argue that EO represents a paradigm shift: a transition from algorithmic behavior programming to semantic world model...
When Models Know When They Do Not Know: Calibration, Cascading, and Cleaning
arXiv:2601.07965v1 Announce Type: new
Abstract: When a model knows when it does not know, many possibilities emerge. The first question is how to enable a model to recognize that it does not know. A promising approach is to use confidence, computed from the model's internal signals, to reflect its ...
Reasoning over Precedents Alongside Statutes: Case-Augmented Deliberative Alignment for LLM Safety
arXiv:2601.08000v1 Announce Type: new
Abstract: Ensuring that Large Language Models (LLMs) adhere to safety principles without refusing benign requests remains a significant challenge. While OpenAI introduces deliberative alignment (DA) to enhance the safety of its o-series models through reasoning...