Threat actors are abusing Pastebin comments to distribute a new ClickFix-style attack that tricks cryptocurrency users into ...

Abstract: Source code similarity measurement, which involves assessing the degree of difference between code segments, plays a crucial role in various aspects of the software development cycle. These ...

As part of its spring menu launch, Starbucks has announced a reinvention of its chai latte. For the first time since its introduction more than 25 years ago, the chai latte will feature a new recipe ...

Drug discovery, the art of identifying new molecules to develop pharmaceuticals, is a notoriously time-consuming and difficult process. Traditional techniques, like high-throughput screening, offer an ...

Chai Discovery’s AI platform, including purpose-built custom models, will be deployed to accelerate the discovery of next-generation therapeutics SAN FRANCISCO--(BUSINESS WIRE)--Chai Discovery, the AI ...

Pass your NMLS exam on the first attempt with OnCourse Learning’s top-tier exam preparation tools. These courses are tailored to help you succeed with features like: OnCourse Learning’s exam prep ...

Google made another change to the JavaScript SEO documentation help document to explain and clarify JavaScript execution on non-200 HTTP status codes. The change. Google wrote, “All pages with a 200 ...

Chai Discovery, a biotech startup with backing from OpenAI, announced a $130 million Series B round at a $1.3 billion valuation on Monday. The round was led by General Catalyst and Oak HC/FT, the ...

Josh Meier, CEO of Chai Discovery, said his startup’s models are improving at a rapid rate. Courtesy Chai Discovery Chai Discovery, a San Francisco-based startup backed by OpenAI, is the latest drug ...

These easy cookies come together in just an hour and will wow your co-workers (speaking from experience). By Genevieve Ko Good morning! Today we have for you: A chewy chai gingerbread cookie to ...

AI agents are reshaping software development, from writing code to carrying out complex instructions. Yet LLM-based agents are prone to errors and often perform poorly on complicated, multi-step tasks ...