New AI-powered data sync expands Thoropass Audit Lifecycle Platform’s capabilities, giving security teams greater flexibility and more streamlined audits without replacing existing GRC tools Thoropass, end-to-end cybersecurity auditor, today announced the launch of Smart Sort AI, a new AI-powered fe...
KnowBe4 Marks a Decade of AI Innovation with 7 Active AI Agents in Market
Appoints Harlan Parrott to lead the organization’s AI Center of Excellence KnowBe4, the world-renowned platform that comprehensively addresses human and agentic AI risk management, today celebrates a decade of pioneering Artificial Intelligence (AI) in cybersecurity. This year marks the tenth annive...
IDDI Unveils New Brand, Marks 35 Years of Clinical Data Science Excellence
IDDI, a global clinical data science partner with more than 35 years of proven quality, today announced the launch of its refreshed brand. The new brand highlights the company’s continued focus on patients and commitment to innovation while honoring its legacy of scientific rigor. The launch coincid...
Capitol AI Appoints Rama Veeraragoo to Lead Product Management
As the company expands internationally, Veeraragoo brings extensive product leadership experience and a global foundation to Capitol AI’s next phase of growth. Capitol AI, the fast-growing enterprise AI platform building decision grade infrastructure for high stakes organizations, announced that Ram...
LLMs aren’t limited to AI and related fields! They’re powering almost every tech, and thereby is one of the most asked about topics in interviews. This makes it essential to have a surface level familiarity of the technology. This article is designed to mirror how LLMs show up in real interviews. We...
Ainekko, Veevx Combine to Advance Embedded AI and Memory Tech
Brings together Raspberry Pi DNA, MRAM-powered AI memory, and open source hardware to redefine the future of edge silicon Ainekko, a startup pioneering open, software-defined AI infrastructure, today announced it is merging with Veevx, a fabless semiconductor company known for its cutting-edge embed...
Zapier: 71% of Enterprise Leaders Say AI Will Reshape Teams
New research reveals AI has graduated to “must-maintain” infrastructure Zapier, the leading AI orchestration platform, today released “The Future of AI Transformation in 2026,” a comprehensive report exploring how enterprise leaders are moving beyond experimental AI adoption toward integrated orches...
3 E Network Technology Group Limited (Nasdaq: MASK, “3 E” or the “Company”), a business-to-business (“B2B”) information technology (“IT”) business solutions provider advancing toward next-generation artificial intelligence (“AI”) infrastructure solutions, today officially announced the launch of its...
Microsoft Unveils Maia 200, An FP4 and FP8 Optimized AI Inference Accelerator for Azure Datacenters
Maia 200 is Microsoft’s new in house AI accelerator designed for inference in Azure datacenters. It targets the cost of token generation for large language models and other reasoning workloads by combining narrow precision compute, a dense on chip memory hierarchy and an Ethernet based scale up fabr...
cside Launches VPN Detection Engine as Regulatory Crackdowns Ramp Up
As VPN use surges 700%, the OSI layer-based detection solution is built for age verification compliance, content distribution licensing, and fraud prevention cside, a pioneer in AI-powered website security & compliance, today announced the launch of VPN Detection. The new solution enables businesses...
DeepSeek AI Releases DeepSeek-OCR 2 with Causal Visual Flow Encoder for Layout Aware Document Understanding
DeepSeek AI released DeepSeek-OCR 2, an open source document OCR and understanding system that restructures its vision encoder to read pages in a causal order that is closer to how humans scan complex documents. The key component is DeepEncoder V2, a language model style transformer that converts a ...
N-able Ushers in New Era of Business Resilience Fueled by AI
For today’s SMBs, AI capabilities from N-able turn resilience into a built-in, everyday business function N-able, Inc. (NYSE: NABL), a global software company delivering an end-to-end cyber resilience platform, today announced enhanced AI capabilities across its platform to help organizations operat...
Spring Health Partners with Alma to Expand Precision Mental Health Care
The acquisition accelerates Spring Health’s growth trajectory, creating the first lifelong mental health platform. Spring Health, a leading global mental health platform for employers and health plans, today announced it has entered into an agreement to acquire Alma, a membership-based platform that...
MESCIUS USA, Inc. Introduces DsPdfAI for Document Solutions Product Line
MESCIUS USA, Inc., a global provider of award-winning enterprise software development tools, is pleased to announce Document Solutions for PDF’s new AI assistant, DsPdfAI. This new package, launched with the v9 release, revolutionizes how people and organizations interact with digital content. Tradi...
A Coding Deep Dive into Differentiable Computer Vision with Kornia Using Geometry Optimization, LoFTR Matching, and GPU Augmentations
We implement an advanced, end-to-end Kornia tutorial and demonstrate how modern, differentiable computer vision can be built entirely in PyTorch. We start by constructing GPU-accelerated, synchronized augmentation pipelines for images, masks, and keypoints, then move into differentiable geometry by ...
Iterate.ai Brings Agentic AI Workflows to Hospital Finances with New Solution
Generate for Healthcare is available on HPE’s AI infrastructure and through the TD SYNNEX Distribution Network Iterate.ai, along with TD SYNNEX, a leading global distributor and solutions aggregator for the IT ecosystem, and HPE today announced the launch and availability of Generate for Healthcare,...
Black Duck Expands Federal Cloud Offerings with FedRAMP Push
stackArmor’s strategic support will accelerate FedRAMP Moderate authorization for the Black Duck Polaris® Platform Black Duck®, the leader in AI-powered application security, today announced a major step toward expanding its U.S. federal cloud services by initiating the Federal Risk and Authorizatio...
Rethinking LLM-Driven Heuristic Design: Generating Efficient and Specialized Solvers via Dynamics-Aware Optimization
arXiv:2601.20868v1 Announce Type: new
Abstract: Large Language Models (LLMs) have advanced the field of Combinatorial Optimization through automated heuristic generation. Instead of relying on manual design, this LLM-Driven Heuristic Design (LHD) process leverages LLMs to iteratively generate and r...
arXiv:2601.20884v1 Announce Type: new
Abstract: Multimodal pretraining is effective for building general-purpose representations, but in many practical deployments, only one modality is heavily used during downstream fine-tuning. Standard pretraining strategies treat all modalities uniformly, which...
A generative machine learning model for designing metal hydrides applied to hydrogen storage
arXiv:2601.20892v1 Announce Type: new
Abstract: Developing new metal hydrides is a critical step toward efficient hydrogen storage in carbon-neutral energy systems. However, existing materials databases, such as the Materials Project, contain a limited number of well-characterized hydrides, which c...
Bayesian-LoRA: Probabilistic Low-Rank Adaptation of Large Language Models
arXiv:2601.21003v1 Announce Type: new
Abstract: Large Language Models usually put more emphasis on accuracy and therefore, will guess even when not certain about the prediction, which is especially severe when fine-tuned on small datasets due to the inherent tendency toward miscalibration. In this ...
Ant Group Releases LingBot-VLA, A Vision Language Action Foundation Model For Real World Robot Manipulation
How do you build a single vision language action model that can control many different dual arm robots in the real world? LingBot-VLA is Ant Group Robbyant’s new Vision Language Action foundation model that targets practical robot manipulation in the real world. It is trained on about 20,000 hours o...
Self supervised learning (SSL) is a machine learning paradigm where models learn to understand the underlying structure of data without explicit supervision from labeled samples. The acquired representations from SSL have demonstrated useful for many downstream tasks including clustering, and linear...