Author: Advanced AI Bot

Devin Gilmartin, Founder & CEO of The Canvas at the Fashion Diplomacy initiative, this time spotlighting Turkish designers at the Republic of Türkiye’s General Consulate in New York City.Flaminia Fanale In an era where fashion transcends simple aesthetics to become a powerful medium for cultural exchange, The Canvas is pioneering a groundbreaking initiative fostering a platform for “Fashion Diplomacy.” An innovative program by The Canvas, it leverages fashion as a tool for international collaboration, sustainability, and economic empowerment, bringing together designers, diplomats, and industry leaders under one global vision. The Canvas’ Fashion Diplomacy initiative, this time spotlighting Turkish designers at…

A new paper co-authored by the former CEO of Google has outlined a future where AI training data centers could be blown up by foreign nations.Eric Schmidt, along with Scale AI CEO Alexandr Wang and the Center for AI Safety’s Dan Hendrycks, warned that “destabilizing AI developments could rupture the balance of power and raise the odds of great-power conflict.”The paper lays out the concept of Mutual Assured AI Malfunction (MAIM), modeled on nuclear mutual assured destruction (MAD), where any “aggressive bid for unilateral AI dominance is met with preventive sabotage by rivals.”This could involve espionage, cyberattacks, or kinetic strikes…

Source: Shutterstock The race to build ever-larger language models is being driven by the assumption that more pre-training data equals better performance. It’s no surprise that AI companies have been scrambling to find enough quality data to train their AI models, often resorting to creating synthetic data to build and fine-tune the AI models. But what if this core assumption is flawed?  A new study warns that more pre-training data may not always lead to better AI models. Researchers from high-ranking universities including Carnegie Mellon University, Stanford University, Harvard University, and Princeton University highlight the phenomenon of “Catastrophic Overtraining.” Their…

Vibe coding represents a new approach to software development where programmers describe what they want in everyday language and artificial intelligence generates the actual code. This method shifts the programmer’s role from writing lines of code to guiding an AI through conversations, testing its output and making refinements through trial and error. What Is Vibe Coding? Key Features Plain-language instructions instead of traditional programming. Limited review of computer-generated code. Copy-and-paste workflow into development environments. Testing through execution rather than code inspection. Back-and-forth conversations to fix problems rather than manual troubleshooting. More on AI and SoftwareAI Coding Assistants Can Be a…

C3.ai recently announced a strategic alliance with PwC to drive AI-powered business transformations but saw its share price fall 10% over the past month. This decline comes amid broader market volatility driven by concerns over new tariffs and economic uncertainty, which have affected overall investor sentiment. Despite widespread gains in technology stocks such as Tesla and Alphabet, weakened investor confidence in AI-related stocks and cautious corporate outlooks may have influenced C3.ai’s share performance. The company’s partnership with PwC targets sectors like banking and manufacturing, signaling a focus on growth, while the market faces broader economic pressures. Be aware that C3.ai…

Nvidia claimed that if Chinese companies choose not to purchase alternative Nvidia products, it could lose $400 million in sales of the affected chips it has scheduled for China this quarter. (Photo: Robert Galbraith/Reuters) A potential shortage of Nvidia’s H20 artificial intelligence chips is emerging in China, threatening to disrupt the country’s rapid AI expansion efforts and exposing fault lines in global semiconductor supply chains. H3C, one of China’s largest server makers and a key OEM partner for Nvidia, issued a warning this week to clients, citing “significant uncertainties” in the international supply chain for the H20 processor, according to…

One of the industry’s leading large language models has passed a Turing test, a longstanding barometer for human-like intelligence.In a new preprint study awaiting peer review, researchers report that in a three-party version of a Turing test, in which participants chat with a human and an AI at the same time and then evaluate which is which, OpenAI’s GPT-4.5 model was deemed to be the human 73 percent of the time when it was instructed to adopt a persona. That’s significantly higher than a random chance of 50 percent, suggesting that the Turing test has resoundingly been beaten.The research also…

Reconstructing sharp 3D representations from blurry multi-view images are long-standing problem in computer vision. Recent works attempt to enhance high-quality novel view synthesis from the motion blur by leveraging event-based cameras, benefiting from high dynamic range and microsecond temporal resolution. However, they often reach sub-optimal visual quality in either restoring inaccurate color or losing fine-grained details. In this paper, we present DiET-GS, a diffusion prior and event stream-assisted motion deblurring 3DGS. Our framework effectively leverages both blur-free event streams and diffusion prior in a two-stage training strategy. Specifically, we introduce the novel framework to constraint 3DGS with event double integral,…

How it worksWhen you describe your topic, NotebookLM gathers hundreds of potential web sources in seconds. It analyzes them and picks the most relevant ones based on your defined topic. It presents up to 10 source recommendations, each with an annotated summary explaining its relevance to your topic.With one click, you can import these sources and use them with other NotebookLM features, such as Briefing Docs, FAQs, and Audio Overviews. The sources will remain in your notebook, allowing you to also read the originals, ask questions via chat, and use NotebookLM’s citation and note-taking features.We’ve even included a fun additional…

As AWS environments grow in complexity, troubleshooting issues with resources can become a daunting task. Manually investigating and resolving problems can be time-consuming and error-prone, especially when dealing with intricate systems. Fortunately, AWS provides a powerful tool called AWS Support Automation Workflows, which is a collection of curated AWS Systems Manager self-service automation runbooks. These runbooks are created by AWS Support Engineering with best practices learned from solving customer issues. They enable AWS customers to troubleshoot, diagnose, and remediate common issues with their AWS resources. Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models…