Security leaders are rethinking managed detection and response (MDR) renewals as AI advances enable automated alert handling, potentially reducing the need for outsourced 24/7 SOC staffing. The shift could reshape the MD…
A B2B software company lost three enterprise deals after its agentic AI system, trained on proprietary pipeline data, ranked them as low-priority, overriding the instinct of human leaders who had stopped interrogating th…
Companies that laid off workers to replace them with AI are now rehiring at greater expense, with about half experiencing a boomerang effect. Klarna, which replaced 700 customer service agents with an AI chatbot, saw cus…
Chai Discovery raised $400 million in a Series C round, tripling its valuation to $3.8 billion in seven months, after securing a deal with Novartis. The OpenAI-backed AI drug discovery company's rapid growth underscores …
Estate agents are increasingly using AI virtual staging tools to digitally furnish and decorate properties in online listings, misleading home-hunters who find the actual homes don't match the enhanced photos. Critics ar…
HyperCloud launched an augmented reality exhibition at the Seoul Museum of History, using Qualcomm's Snapdragon XR2 platform and P&C Solution's METALENSE 2 AR glasses to let visitors experience Seoul's past through hands…
Enterprise Singapore and UOB launched a new programme on Wednesday to help F&B businesses adopt AI tools, offering advisory support and up to 50% funding for AI-enabled solutions. The initiative aims to boost productivit…
A developer uses the AI app ChatBrat to simulate conversations with their deceased grandparents, who died in a car accident. The app generates responses based on text messages and memories the user provides, offering a w…
A company is recruiting users to test its Unlimited Token Plan 200M, a high-token AI workflow product, through a survey and feedback program running July 15-20, 2026. The program targets developers and heavy AI users wit…
A developer released SKTR (System Knowledge & Technical Review), a deterministic CLI tool that reviews Git changes for architecture and maintainability issues. SKTR uses analyzers, metrics, and rules to detect problems l…
Codex hit 7 million active users on July 13, 2026, a 10x surge from 600,000 at the start of the year, driven by the GPT-5.6 launch and product updates. Meanwhile, Claude Code reached $2.5 billion in annualized revenue by…
George Hotz's AI framework tinygrad claims to map PCIe Base Address Registers directly for NVIDIA and AMD GPUs, bypassing vendor driver APIs like CUDA and ROCm. The low-level runtime approach, documented in tinygrad's so…
Researchers at Michigan Technological University demonstrated an 'overthinking' attack that can disable robots relying on large vision-language models for over a minute by inserting text into the camera's field of view, …
DeepSeek founder Liang Wenfeng's net worth has surged to $36 billion, more than doubling from $16.7 billion, making him the wealthiest AI model founder, surpassing Anthropic's Dario Amodei and OpenAI's Greg Brockman, acc…
A developer launched Workaround, a tool that connects to GitHub to help users review and clean up their starred repositories by flagging archived or deprecated repos and offering bulk cleanup.
Snowflake AI Research released ArcticSwarm, a multi-agent deep research framework that coordinates up to 16 specialized agents to combine structured SQL database evidence with unstructured web sources. The system uses a …
EG-VAR, a Lean 4-based architecture, achieves flawless accuracy on TableBench numerical reasoning tasks and maintains 100% source fidelity in counterfactual stress tests, outperforming existing AI reasoning tools. The sy…
Researchers have developed the Lightweight MultiScale AutoEncoder (LMSAE), a compact model under 500 KB for anomaly detection in IoT systems. On the NVIDIA Jetson Nano, LMSAE reduces inference latency by 9x and cuts powe…
Researchers introduced PFAdapter, a framework that uses hierarchical LoRA decomposition to improve federated fine-tuning of multimodal large language models on edge devices, cutting communication costs by nearly 50% whil…
A physics-informed neural network (PINN) developed by researchers predicts tension during parachute deployment, outperforming traditional numerical methods in speed and accuracy. The AI model enhances safety and efficien…