Have hard-won scaling lessons to share? Take the stage at TechCrunch Founder Summit 2026
Apply to speak at TechCrunch Founder Summit 2026 by April 17 for a chance to lead a roundtable or breakout session for 1,000 founders and investors. If you’ve built, backed, or operated inside high-growth startups, your experience could shape how the next wave of founders scales.
Adobe Firefly’s video editor can now automatically create a first draft from footage
Adobe Firefly is getting a new feature called Quick Cut that uses AI to edit footage to create a first draft of the final video based on user instructions.
Aliasing in Audio, Easily Explained: From Wagon Wheels to Waveforms
Understanding the foundational distortion of digital audio from first principles, with worked examples and visual intuition
The post Aliasing in Audio, Easily Explained: From Wagon Wheels to Waveforms appeared first on Towards Data Science.
Lumen Doubles NaaS Customers Amid Shift to Programmable Net
Expanded off-net reach and multi-cloud simplicity drive more than 2,000 enterprises to adopt Lumen’s programmable network platform for Cloud 2.0 and AI workloads Lumen Technologies (NYSE: LUMN) today announced the company has doubled its network-as-a-service (NaaS) customer base to more than 2,000 b...
OTAVA®, a leader in secure and compliant multi-cloud solutions, today announced that it has been named by CRN®, a brand of The Channel Company, to the Managed Service Provider (MSP) 500 list in the Pioneer 250 category for 2026. CRN’s annual MSP 500 list is a comprehensive guide to the leading MSPs ...
SoundHound AI Launches Sales Assist Agent at MWC 2026
SoundHound AI, Inc. (Nasdaq: SOUN), a global leader in voice and conversational AI, today announced the launch of Sales Assist, a new voice-powered AI agent for retail which will debut at Mobile World Congress 2026 (Hall 7, Booth 7E40). The revolutionary in-store agent builds on SoundHound’s existin...
Axelera AI Secures More Than $250 Mn Funding on Global Commercial Growth
European AI semiconductor leader earns backing from funds managed by Innovation Industries and SiteGround Capital along with EU institutions; edge-first architecture addresses AI’s critical energy and cooling constraints Axelera AI, the European leader in AI acceleration hardware, announced its late...
Research: Identity Now Top Entry Point for Cyberattacks
With identity-based vectors the most common entry point for cyberattacks, security leaders turn to agentic AI to both secure and manage identities at scale Lumos, the industry’s first Autonomous Identity Platform, today announced the release of its AI, Automation, and Risk in 2026: Identity at a Bre...
Liquid AI’s New LFM2-24B-A2B Hybrid Architecture Blends Attention with Convolutions to Solve the Scaling Bottlenecks of Modern LLMs
The generative AI race has long been a game of ‘bigger is better.’ But as the industry hits the limits of power consumption and memory bottlenecks, the conversation is shifting from raw parameter counts to architectural efficiency. Liquid AI team is leading this charge with the release of LFM2-24B-A...
Evoke Security Raises $4M Pre-Seed Round to Secure the Agentic Workforce
Crosspoint Capital Partners leads investment to give security teams visibility and control over AI agents operating across the enterprise Evoke Security, a cybersecurity startup securing the agentic workforce, today announced $4 million in pre-seed funding led by Crosspoint Capital Partners, LP (Cro...
Company unveils new Agentic AI capabilities in Invoice Lifecycle Management Platform, paving way to autonomous AP The future of finance is intelligent, and Basware, the global leader in Invoice Lifecycle Management is delivering it today. The pioneer and leader in accounts payable unveiled new AI a...
Tensor Network Generator-Enhanced Optimization for Traveling Salesman Problem
arXiv:2602.20175v1 Announce Type: new
Abstract: We present an application of the tensor network generator-enhanced optimization (TN-GEO) framework to address the traveling salesman problem (TSP), a fundamental combinatorial optimization challenge. Our approach employs a tensor network Born machine ...
MoBiQuant: Mixture-of-Bits Quantization for Token-Adaptive Elastic LLMs
arXiv:2602.20191v1 Announce Type: new
Abstract: Changing runtime complexity on cloud and edge devices necessitates elastic large language model (LLM) deployment, where an LLM can be inferred with various quantization precisions based on available computational resources. However, it has been observ...
FedAvg-Based CTMC Hazard Model for Federated Bridge Deterioration Assessment
arXiv:2602.20194v1 Announce Type: new
Abstract: Bridge periodic inspection records contain sensitive information about public infrastructure, making cross-organizational data sharing impractical under existing data governance constraints. We propose a federated framework for estimating a Continuous...
Controllable Exploration in Hybrid-Policy RLVR for Multi-Modal Reasoning
arXiv:2602.20197v1 Announce Type: new
Abstract: Reinforcement Learning with verifiable rewards (RLVR) has emerged as a primary learning paradigm for enhancing the reasoning capabilities of multi-modal large language models (MLLMs). However, during RL training, the enormous state space of MLLM and s...
IMOVNO+: A Regional Partitioning and Meta-Heuristic Ensemble Framework for Imbalanced Multi-Class Learning
arXiv:2602.20199v1 Announce Type: new
Abstract: Class imbalance, overlap, and noise degrade data quality, reduce model reliability, and limit generalization. Although widely studied in binary classification, these issues remain underexplored in multi-class settings, where complex inter-class relati...
An artificial intelligence framework for end-to-end rare disease phenotyping from clinical notes using large language models
arXiv:2602.20324v1 Announce Type: new
Abstract: Phenotyping is fundamental to rare disease diagnosis, but manual curation of structured phenotypes from clinical notes is labor-intensive and difficult to scale. Existing artificial intelligence approaches typically optimize individual components of p...
DMCD: Semantic-Statistical Framework for Causal Discovery
arXiv:2602.20333v1 Announce Type: new
Abstract: We present DMCD (DataMap Causal Discovery), a two-phase causal discovery framework that integrates LLM-based semantic drafting from variable metadata with statistical validation on observational data. In Phase I, a large language model proposes a spar...
Diffusion Modulation via Environment Mechanism Modeling for Planning
arXiv:2602.20422v1 Announce Type: new
Abstract: Diffusion models have shown promising capabilities in trajectory generation for planning in offline reinforcement learning (RL). However, conventional diffusion-based planning methods often fail to account for the fact that generating trajectories in ...
Implicit Intelligence -- Evaluating Agents on What Users Don't Say
arXiv:2602.20424v1 Announce Type: new
Abstract: Real-world requests to AI agents are fundamentally underspecified. Natural human communication relies on shared context and unstated constraints that speakers expect listeners to infer. Current agentic benchmarks test explicit instruction-following bu...
Meta AI Open Sources GCM for Better GPU Cluster Monitoring to Ensure High Performance AI Training and Hardware Reliability
While the tech folks obsesses over the latest Llama checkpoints, a much grittier battle is being fought in the basements of data centers. As AI models scale to trillions of parameters, the clusters required to train them have become some of the most complex—and fragile—machines on the planet. Meta A...