The AiPressa Staff team brings you comprehensive coverage of the artificial intelligence industry, including breaking news, research developments, business trends, and policy updates. Our mission is to keep you informed about the rapidly evolving world of AI technology.
Salesforce announces a strategic overhaul with 1,000 job cuts and a focus on AI, targeting $51.9B in revenue by 2028 amid rising competitive pressures.
Microsoft's AI chief Mustafa Suleyman aims for true AI self-sufficiency, reducing reliance on OpenAI while debuting in-house models by year's end, amid $140B AI...
Intel acquires AI startup SambaNova to enhance enterprise AI capabilities and introduces Z Angle Memory prototype to address data center workload efficiency.
Researchers at the University of Virginia reveal a framework achieving 95% accuracy in exposing privacy risks of fine-tuned diffusion models at NDSS Symposium.
Ginkgo Bioworks surges 5.69% as AI-driven automation slashes protein synthesis costs by 40% to $422 per gram, highlighting its innovative edge in biotech.
USU students create a groundbreaking AI model identifying river rapids from over 280,000 satellite images, enhancing hydrological insights for water managers.
Anthropic donates $20M to Public First Action for AI regulation, while OpenAI opts out of political contributions, highlighting stark industry divides.
OpenAI's Sherwin Wu predicts a shift to smaller, specialized startups fueled by AI advancements, reshaping entrepreneurship and driving a golden age for B2B SaaS...
Amazon's $200 billion investment in AI and AWS aims to reclaim market share as its cloud segment's revenue growth lags behind competitors, risking long-term...
Samsung unveils 'Ask AI' chatbot for Galaxy Internet in One UI 9, enhancing browsing with AI-driven features powered by Perplexity, set for summer launch.
Writers and AI researchers convene in LA to debate the transformative impact of AI on literature, emphasizing the need for ethical engagement and innovative...
AI startup Simile secures $100M in funding to develop a predictive model for human behavior, achieving 80% accuracy in anticipating earnings call questions.