Author: InfoForTech
Curiosity-driven research has long sparked technological transformations. A century ago, curiosity about atoms led to quantum mechanics, and eventually the transistor at the heart of modern computing. Conversely, the steam engine was a practical breakthrough, but it took fundamental research in thermodynamics to fully harness its power. Today, artificial intelligence and science find themselves at a similar inflection point. The current AI revolution has been fueled by decades of research in the mathematical and physical sciences (MPS), which provided the challenging problems, datasets, and insights that made modern AI possible. The 2024 Nobel Prizes in physics and chemistry, recognizing foundational AI…
From top left, clockwise: Makko CEO Jeremy Bird; Pipeshub CEO Rishabh Gupta; Flightline CEO Jesse Collins; AttorneyAide CEO Rohit Kundaji; and Liminary CEO Sarah Andrabi. Our latest Startup Radar spotlight features founders from the Seattle region using AI to help automate the assessment of medical records, video game production, and much more. Read on for brief descriptions of each company — along with pitch assessments from “Mean VC,” a GPT-powered critic offering a mix of encouragement and constructive feedback. Check out past Startup Radar posts here, and email tips@geekwire.com to flag other companies and startup news. AttorneyAide Rohit Kundaji. Founded: 2025 The business:…
Ravie LakshmananMar 11, 2026Artificial Intelligence / Browser Security Agentic web browsers that leverage artificial intelligence (AI) capabilities to autonomously execute actions across multiple websites on behalf of a user could be trained and tricked into falling prey to phishing and scam traps. The attack, at its core, takes advantage of AI browsers’ tendency to reason their actions and use it against the model itself to lower their security guardrails, Guardio said in a report shared with The Hacker News ahead of publication. “The AI now operates in real time, inside messy and dynamic pages, while continuously requesting information, making decisions,…
Observability is becoming the control system for the complex infrastructure powering modern digital services and AI workloads. As enterprises move from AI experimentation to large-scale deployment, the operational challenge of keeping those systems reliable is intensifying. Companies such as Virtana are focusing on observability platforms that can monitor entire environments rather than isolated components — particularly as organizations work with infrastructure partners such as Dell Technologies Inc. to build out AI factories, according to Paul Appleby (pictured), president and chief executive officer of Virtana, which provides observability software that helps enterprises monitor, optimize and manage complex hybrid cloud and AI…
Introduction The large‑language‑model (LLM) boom has shifted the bottleneck from training to efficient inference. By 2026, companies are running chatbots, code assistants and retrieval‑augmented search engines at scale, and a single model may answer millions of queries per day. Serving these models efficiently has become as critical as training them, yet the deployment landscape is fragmented. Frameworks like vLLM, TensorRT‑LLM running on Triton and Hugging Face’s Text Generation Inference (TGI) each promise different benefits. Meanwhile, Clarifai’s compute orchestration lets enterprises deploy, monitor and switch between these engines across cloud, on‑premise or edge environments. It examines technical bottlenecks such as the…
I was fortunate enough to spend several days last week at the Aspen Institute’s Crosscurrent summit on AI and national security in San Francisco. My first takeaway: I very much recommend being in sunny (at the moment, at least) San Francisco rather than slushy, raw New York in early March. The second took a little longer to form.The conference was full of former national security officials, cybersecurity executives, and AI leaders, and the conversation mostly went where you’d expect: the Anthropic-Pentagon fight, the role of AI in the Iran conflict, the coming of autonomous weapons. But the panel that stuck…
The pricing model your SaaS marketing agency recommends says a lot about who benefits from the deal. Most buyers find out too late which side that is. You get on a call with a SaaS marketing agency. The deck looks sharp. The case studies are impressive. The team seems to get your space. Then comes the pricing slide, and suddenly you’re nodding along to a structure you don’t fully understand, agreeing to terms you’ll regret in Q3. It happens more than most SaaS leaders admit. Not because the agencies are dishonest, but because pricing models carry assumptions baked in, and…
At the start of the year, Google brought a host of new Gemini-powered features, including built-in Nano Banana image generation, to Chrome. After debuting in the United States, those features are now making their way to Chrome users in Canada, India and New Zealand, with support for 50 additional in tow. Among the new languages Gemini in Chrome can now converse in are French, Gujarati, Hindi and Spanish.To try out Gemini in Chrome, tap the sparkle icon at the top right of the interface. This will open the sidebar interface Google introduced in January. From there, you can chat with…
Those 30-second unskippable ads before your favorite creator’s video are adding up to something massive. YouTube generated $40.4 billion in advertising revenue last year, according to new estimates from media research firm MoffettNathanson, and that figure tops the combined $37.8 billion ad haul from four of Hollywood’s biggest players, Disney, NBCUniversal, Paramount Skydance, and Warner Bros. Discovery. The numbers mark a major shift from 2024. Back then, YouTube’s $36.1 billion still trailed that same group of traditional media companies, which pulled in $41.8 billion together. Add Fox to the mix and legacy TV still edges out YouTube at $44.8 billion,…
In the din of excitement about the artificial intelligence revolution, a more subtle but intriguing debate is now unfolding among journalists and media executives worldwide: If AI systems are being trained on our journalism, shouldn’t we be compensated for that work? You might call it the “Does AI owe for news?” debate.The proposed solution now gaining traction in policy and press circles is known as “statutory licensing,” under which AI companies would be required to pay news publishers if AI models are trained on their articles. The notion is no longer fringe, and has gained steam in recent months in…