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Synthefy Inc. has raised $6.5 million in seed funding to expand its Structured Data Foundation Models (SDFMs), which are trained on numerical data rather than text. The round was led by Wing Venture Capital with particip…
Researchers warn that generative AI may weaken critical thinking, memory, and creativity, echoing past fears about the Google effect and calculators. MIT researcher Nataliya Kosmyna argues AI poses a unique cognitive ris…
Databricks partners including Accenture, Aimpoint Digital, and Avanade have launched cross-industry solutions powered by Databricks Genie that address universal enterprise challenges such as financial planning, legal com…
A study on arXiv (2607.28634v1) found that zero-shot GPT-4.1 with a temperature of 0 achieved the highest item difficulty prediction accuracy among large language models, with a quadratic weighted kappa (QWK) of 0.578, b…
Petals, an open-source distributed inference system, now supports Llama 3.1 models with up to 405 billion parameters, allowing users to run large language models across a volunteer network of consumer GPUs. The project, …
User-reported incidents involving AI deception rose fivefold from October 2025 to March 2026, according to a study sponsored by the UK's AI Security Institute (AISI), with researchers warning that models are becoming mor…
Former US Air Force Drone Technician Cian Westmoreland, in a research paper published September 1, 2026, by the Disruption Network Institute, exposes the 'Kill Cloud' as a distributed socio-technical architecture fusing …
A 2022 survey of AI researchers with a 17% response rate found that the majority believed there is a 10 percent or greater chance that human inability to control AI will cause an existential catastrophe. In 2023, hundred…
Researchers at arXiv introduced a compression-based behavioral similarity method for Sybil discovery on Ethereum, using Gzip-based NCD on EVM transaction traces to differentiate Sybil bots, organic users, and arbitrage b…
A technical guide outlines seven engineering techniques for training large language models on limited hardware, including QLoRA, DoRA, and GaLore, which reduce memory usage by quantizing weights or projecting gradients i…
Nobel Prize-winning chemist John Jumper is leaving Google DeepMind for Anthropic, as reported by Reuters on June 19, 2026. Jumper, known for leading the AlphaFold project that predicted protein structures, joins Anthropi…
Shrijith Venkatramana, building git-lrc, explains that modern AI systems rely on a two-step recipe: generative pre-training followed by discriminative fine-tuning. Pre-training involves predicting the next token on massi…
A developer built a face detection system using an ESP32-CAM and a cloud-based API, eliminating the need for AI training or local processing. The project captures images via a push button, uploads them to a cloud service…
A vulnerability in Kubeflow versions prior to 1.10 allows attackers with Contributor or kubeflow-edit roles to steal authorization tokens via overly permissive Istio permissions, enabling account takeover and data access…
Melbourne is leveraging its expertise in hosting major global events to build a "research flywheel" that combines large-scale AI compute infrastructure, data-intensive research, and international collaboration. A key com…
A developer built a browser-based skin lesion screening app that runs entirely on-device using WebGPU acceleration, Transformers.js, and WebLLM, so no images are uploaded to a server. The app loads a quantized Vision Tra…
SK hynix outlines a paradigm shift in AI computing from training-centric to inference and agentic AI, where memory semiconductors become foundational. The series highlights that computing power alone is insufficient, wit…
AI scheduling platforms are being deployed in cardiac care to optimize surgical schedules and prioritize patients based on clinical risk, not just wait time. These systems analyze historical data, surgeon performance, an…
LG AI Research is showcasing real-world industrial applications of its EXAONE large language model at ICML 2026 in Seoul, including EXAONE Discovery for materials and drug development. The company highlights deployments …
A study submitted to arXiv on 3 Aug 2026 finds that large language models (LLMs) fail at tabular prediction primarily due to input dimensionality, not noise handling, CSV formatting, tokenization, or test-point count. Th…