H+ Weekly

This year's Nobel Prize in Physiology or Medicine has been awarded to Katalin Karikó and Drew Weissman - two scientists whose work greatly contributed to our understanding of RNA and played a key role in developing mRNA vaccines. In the press release, The Nobel Assembly at Karolinska Institutet wrote: The discoveries by the two Nobel Laureates were critical for developing effective mRNA vaccines against COVID-19 during the pandemic that began in early 2020.

The next few months are going to be interesting as the race to unveil the next generation of multimodal chatbots is heating up. Gemini, Google’s response to GPT-4, is rumoured to be very close to being released. About two months ago, The Wall Street Journal revealed that Demis Hassabis said at a company-wide meeting that Gemini is going to be released by the end of the year. Recently, it has been reported that some of Google’s partners have received access to an early version of Gemini.

On Wednesday, September 13 2023, US Senate Majority Leader Chuck Schumer hosted the first AI Insight Forum in Washington, DC. The purpose of these meetings is to assemble leading experts in artificial intelligence from various sectors, including business, academia, the arts, civil rights, and defence, to advance discussions on how Congress can address the challenges posed by AI.

AI is once again the hottest trend in the tech world, and everyone, from giant corporations to startups, wants to get a piece of the AI pie. But to enter this game, you need to have access to the computing power required to run AI models. One option to acquire that computing power is to use cloud AI services, a quick and cost-effective way to get started. The second option is to build your own computing power.

Modern passenger aircraft are highly automated machines. Apart from taxiing, take-off, and landing, the aircraft flies itself on autopilot. Aircraft manufacturers, however, plan to take the current automation to the next level with autonomous flight. In this article, we delve into the latest advancements in autonomous flight technology and explore how it may impact the aviation industry. The concept of autonomous flight is not new. Computers can already take off, fly, and safely land on their own.

Content generated by AI is of such high quality that it is nearly impossible for humans to distinguish between a work of art or text created by a human versus one generated by an AI. This impressive engineering achievement, however, comes with its dark side. Generative AI can be used to spread misinformation and deepfakes, making the task of distinguishing between reality and fabrication extremely challenging.

For a long time, humanoid robots existed only in the world of science fiction. But thanks to advances in robotics and artificial intelligence, humanoid robots can not only walk but also dance and do parkour, and will soon work alongside humans. Some of them might even arrive next year. The environments we work and live in are designed, well, for us, humans. We live in complex environments full of objects designed to be manipulated with our hands and navigated on foot.

Big tech companies, such as Microsoft, Alphabet or Meta, and the new wave of AI startups, are heavily investing in generative AI. All those companies need the computing power required to train their large machine learning models. A demand that Nvidia is uniquely positioned to fulfil and is massively benefiting from.

Today, we have a guest post from who will share with us how AI is changing research and development in biotech, and how new AI-powered tools are lowering the barriers to entry for bio-entrepreneurs and increasing their chances for success. Leonardo is an economist, data scientist, and writer with expertise in Artificial Intelligence and the fourth industrial revolution.

Generative AI is a powerful tool. With a single prompt, it can generate any kind of text, from cover letters to business plans to entire books, or any kind of image. In order to be capable of such feats, generative AIs need to be trained on huge amounts of data. This data, terabytes of text and images scraped from the internet, is now causing problems for AI companies as most of it has been taken without permission from copyright owners.