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New research from 1,700 security leaders reveals 3 imperatives for securing AI adoption.
Samsung Electronics deploys ChatGPT Enterprise and Codex to employees worldwide, marking one of OpenAI’s largest enterprise AI rollouts.
The 2026 World Cup has added AI and computer vision to the officiating crew — a sensor inside the ball, semi-automated offside calls, and 16 tracking cameras per stadium. Oren Etzioni explains how the systems work, what they deliberately leave to human referees, and what it says about automation mor
Enterprise Document Intelligence [Vol.1 #5septies] - When a PDF prints a contents page but exposes no outline, two ways to turn it back into structure, plus the page-alignment step everyone forgets The post Reconstructing the Table of Contents a PDF Forgot to Ship, So RAG Can Scope by Section appear
See the technology stories that people were reading on GeekWire for the week of June 14, 2026. Read More
As threats proliferate and AI complicates cybersecurity, CISOs say the job is getting harder, but more companies still want cybersecurity expertise, if even on a part-time basis.
OpenAI introduces new spend controls and usage analytics for ChatGPT Enterprise, helping organizations manage costs and scale AI with confidence.
This week was not an exceptionally busy one for large funding deals, though we saw sizable rounds in a lively mix of sectors ranging from AI to fintech to quantum computing, biotech and cybersecurity.
Researchers used an OpenAI reasoning model to help diagnose rare diseases, identifying 18 new diagnoses in previously unsolved cases.
OpenAI and Molecule.one show how a near-autonomous AI chemist using GPT-5.4 improved a key drug-making reaction, advancing medicinal chemistry research.
Big Tech is investing billions to revolutionize AI by drastically reducing training costs and enhancing deployment efficiency. As Google and Microsoft shift their focus to selling AI at scale, how is India positioning itself in this rapidly evolving landscape?
The United Kingdom, and London in particular, continues to be one of the great hubs for AI development in Europe and the world. We’re home to Google DeepMind, of course, as well as significant AI unicorns — and Google Cloud customers — like Ineffable Intelligence, which is today announcing an import
The UK’s 5-million-plus small and midsize businesses and enterprises (SMBs) are the backbone of our economy. Today, we’re seeing these critical businesses begin to put AI to work, to operate more efficiently, move faster, and ultimately deliver better outcomes for their customers. This shift is driv
Security operations teams are under immense pressure to defend against adversaries who use AI to act with unprecedented speed, scale, and sophistication. To navigate these moments, secure mission-critical workloads, and build confident defense programs, organizations rely on modern security informat
For technology companies like Siemens, software is the nervous system of factories, energy grids, and transportation networks worldwide. As a global leader in industrial AI, industrial software, and industrial automation, Siemens brings decades of domain expertise across factory and process automati
This is the fifth in a series of informal research updates from the Google DeepMind Language Model Interpretability team, in interpretability and adjacent areas. The fourth post can be found here. TLDR: Via adapting the methods of Marks et al and Li et al, we train Gemini 3 Flash to have certain tra
Microsoft CEO Satya Nadella said companies will succeed in the AI era by building learning systems powered by human and token capital, not merely by using advanced models. He warned of a future in which a handful of AI providers capture most of the economic value.
Welcome to Import AI, a newsletter about AI research. Import AI runs on arXiv, cappuccinos, and feedback from readers. If you’d like to support this, please subscribe. Subscribe now AI researchers launch new safety startup because “alignment is not on track”:…Sequent will have a portfolio of under-r
This is the fourth in a series of informal research updates from the Google DeepMind Language Model Interpretability team, in interpretability and adjacent areas. The third post can be found here. Since SFT is the cause for many safety relevant properties, a natural strategy is to filter out rollout
On one side of this debate is Yudkowsky & Soares, who think that (if AI progress continues) we’re on a direct path to egregiously-misaligned, scheming, out-of-control, rogue superintelligence (ASI), not even slightly nice, in the absence of yet-to-be-invented breakthrough technical alignment ideas.
