Lifeboat Foundation

When Lex Friedman visited our MIT AI Venture Studio class to talk about the future of AI, we got into some pretty interesting ideas about the near future.

At the top of Lex’s comments, he talked about disruption – predicting that two new trillion-dollar companies will emerge out of the AI era, and suggesting that Google, Meta and Microsoft will likely not be able to pivot quickly enough to maintain their dominance.

In terms of where we might see this innovation, one of his focus points was on language. Lex pointed out that in America, we take it for granted that everyone speaks English – but around the world, there is an enormous market for real, precise speech translation. People, he said, speak many languages in an “intimate” way – and that requires precision on the part of the technology.

Scientists have welcomed a “truly wonderful” new drug for a hard-to-treat and aggressive form of cancer.

Researchers led by a team at Queen Mary University of London said their new treatment “quadrupled” three-year survival rates and increased average survival by 1.6 months.

Academics said that the new drug, which works by cutting off the tumour ’s food supply, is the first of its type for mesothelioma in 20 years.

A different method for inertial fusion shows promise as it achieves implosion and fusion.

From the groundbreaking RTX 2000 Ada GPU to the exciting Chat with RTX AI app, explore how Nvidia is redefining the digital experience.

If you’re equipped with an RTX 30 or 40 series GPU, embark on an immersive AI journey. Learn how these innovations are poised to set new benchmarks.

But ‘the use of an AI system by a natural person does not preclude a natural person from qualifying as an inventor.’

AI can help the invention process, though.

This month, Google unveiled its latest attempt to dethrone ChatGPT from the position it’s held since it launched as king of the generative AI chatbots.

Bard – now renamed Gemini–was released in early 2023 following OpenAI’s groundbreaking LLM-powered chat interface.

Dive into the ultimate AI showdown between ChatGPT and Google’s Gemini to discover which platform claims the crown for superior intelligence, versatility and innovation.

Continue reading “AI Showdown: ChatGPT Vs. Google’s Gemini — Which Reigns Supreme?” »

Rhodopsin can kill cancer cells keeping the surrounding cells healthy 😤

Considerable time and funding are required in development of new medicines necessary for otherwise untreatable illnesses. Professor Yuki SUDO of Okayama University seeks an innovative form of treatment using rhodopsin, a protein with light-reactive qualities. By extracting it and artificially inserting it into affected cells, it could treat illness simply by exposure to a specific type of light. He has succeeded in using rhodopsin to eliminate cells from cancer, the first such accomplishment ever achieved in the world. In this episode, we introduce the research toward a “light switch” to cure disease.

“This is Frame, a reinvention of eyewear for the AI era,” says Brilliant Labs.

Brilliant Labs has become the latest company to introduce a pair of smart glasses called Frame.

Continue reading “OpenAI-buddy Brilliant Labs unveils eyeglasses with ‘AI superpowers’” »

Generative AI has emerged as the next wave of innovation amidst the ongoing evolution of the technological landscape, attracting the attention of both researchers and investors.

Even as vector databases and Retrieval-Augmented Generation models become mainstream, offering innovative ways to handle and process data, traditional ETL processes retain their importance in the data management ecosystem. Traditional ETL is fundamental for preparing and structuring data from diverse sources into a coherent, standardized format, making it accessible and usable for various applications. This structured data is crucial for maintaining the accuracy and reliability of information within vector databases, which excel at handling similarity searches and complex queries by converting data into vector space.

Similarly, RAG models, which leverage vast databases to augment content generation with relevant information retrieval, depend on well-organized, high-quality data to enhance their output’s relevance and accuracy. By ensuring data is accurately extracted, cleaned and loaded into databases, traditional ETL processes complement the capabilities of vector databases and RAG models, providing a solid foundation of quality data that enhances their performance and utility. This symbiotic relationship underscores the continuing value of traditional ETL in the age of AI-driven data management, ensuring that advancements in data processing technologies are grounded in reliable and well-structured data sources.

Continue reading “Is Generative AI Overshadowing The Proven Workhorses Of Modern Tech?” »