Google thinks that there’s an opportunity to offload more healthcare tasks to generative AI models — or at least, an opportunity to recruit those models to aid healthcare workers in completing their tasks.
Google has unveiled MedLM, a new family of generative AI models designed to tackle healthcare-related tasks.
When it comes to spurring the development of cutting-edge technologies, the Chinese government is rather pragmatic in its policymaking process. In the field of autonomous driving, the country has made some big strides in defining the parameters and limitations for service providers, removing regulatory ambiguity and granting industry players the freedom to test the nascent technology.
The trial guidelines, unveiled by the Ministry of Transport recently, target AV services like robotaxis, self-driving trucks and robobuses. The release arrived about 16 months after the department began seeking public opinions on the regulatory framework, and policymakers have reached a consensus that self-driving vehicles are subject to rigorous surveillance measures to ensure utmost safety.
Prior to the introduction of the nationwide guidelines, policymaking for AVs in China had been playing out in a more decentralized fashion, with local governments formulating their own rules for service providers on their turf. Major tech clusters like Beijing, Shenzhen and Guangzhou, for example, have been frontrunners in allowing companies to test AVs with minimum human interference.
Perplexity.ai’s co-founder and CEO discusses the looming challenges in AI research and product development.
Google has released a new Pro model of its latest AI, Gemini, and company sources say it has outperformed GPT-3.5 (the free version of ChatGPT) in widespread testing. According to performance reports, Gemini Ultra exceeds current state-of-the-art results on 30 of the 32 widely-used academic benchmarks used in large language model (LLM) research and development. Google has been accused of lagging behind OpenAI’s ChatGPT, widely regarded as the most popular and powerful in the AI space. Google says Gemini was trained to be multimodal, meaning it can process different types of media such as text, pictures, video, and audio.
Insider also reports that, with a score of 90.0%, Gemini Ultra is the first model to outperform human experts on MMLU (massive multitask language understanding), which uses a combination of 57 subjects such as math, physics, history, law, medicine and ethics for testing both world knowledge and problem-solving abilities.
The Google-based AI comes in three sizes, or stages, for the Gemini platform: Ultra, which is the flagship model, Pro and Nano (designed for mobile devices). According to reports from TechCrunch, the company says it’s making Gemini Pro available to enterprise customers through its Vertex AI program, and for developers in AI Studio, on December 13. Reports indicate that the Pro version can also be accessed via Bard, the company’s chatbot interface.
Meet Alter3, a humanoid robot from the University of Tokyo that can strike various poses, from selfies to playing a spooky ghost, thanks to ChatGPT-4 AI.
In a fusion of cutting-edge technology, a highly advanced humanoid robot has been paired with unparalleled capabilities by leveraging artificial intelligence (AI).
Introducing Alter3, a humanoid robot with the ability to generate spontaneous motion through the utilization of a Large Language Model (LLM), namely GPT-4.
Developed by a University of Tokyo team, Alter3 employs Open AI’s latest tool to dynamically assume various poses, from a selfie stance to mimicking a ghost, all without the need for pre-programmed entries in its database.
If 2023 was the year artificial intelligence became a household topic of conversation, it’s in many ways because of Sam Altman, CEO of the artificial intelligence research organization OpenAI.
The OpenAI CEO spoke candidly about his November ousting and reinstatement at the company and the risks and rewards AI can bring in the future.