Microsoft, one of the Big Five tech companies, is developing its own Artificial Intelligence (AI) chips to reduce their reliance on graphics card maker Nvidia. Reports from The Verge suggest Microsoft has been working on Athena AI chips since 2019. These chips are currently being tested by both Microsoft and OpenAI employees for GPT-4, language models and more. It's a cost-effective way for Microsoft to equip their already-established AI initiatives. Satya Nadella, CEO of Microsoft, has been affiliated with the tech giant since 1992 and has seen record growth in Office 365 and Azure under his leadership.
. Tesla, a publicly-traded electric-car manufacturer, has been the pioneer of automotive technology and ranks high on many sustainability indexes. Elon Musk, the company's CEO, recently announced the launch of the TruthGPT AI platform - designed to understand the universe and seek the ultimate truth - and competes against firms like Microsoft (ChatGPT) and Google (Bard). Musk has requested a six-month pause for the OpenAI's GPT-4 AI development, warning of the potential risks it might pose to society. Through TruthGPT, Musk aims to pick up new Google researchers and make sure AI technologies are secure and trustworthy.
OpenAI has come under fire for its heavy reliance on data to power its AI models, raising red flags from data protection authorities around the world, who are concerned OpenAI may not have acquired valid consent to use data scraped from users. The European Data Protection Board has set a deadline of April 30 for OpenAI to gain compliance and avoid potential heavy fines and bans from the European Union. AI expert Alexis Leautier at the French regulatory body CNIL is a key figure in the investigation of OpenAI's practices.
Stay up-to-date on the latest in Thai healthcare and medical technology with groundbreaking research and unbiased news coverage from Thailand Medical News. Learn about advancements in artificial intelligence (AI) such as ChatGPT, GPT-4, and Google Bard and the implications for medical exams such as the American Board of Neurological Surgery (ABNS) oral board exam. Understand the ethical and legal implications of AI-assisted decision-making in medicine and discover ways to maximize its potential in medical education and patient outcomes.
This article looks at the accuracy of three widely popular Large Language Models (ChatGPT, GPT-4, and Google Bard) for higher-order questions related to the ABNS oral board examination in the US. GPT-4 emerged as the highest performing model, achieving 82.6% accuracy. Get to know more about AI and its impact on medical decision making through this research work done by Neha Mathur, and how technology law associate Lily Ramsey LLM reviewed the paper.
Explore the evolution of tech policy from Obama's optimism to Harris's vision at the Democratic National Convention. What's next for Democrats in tech?