#artficialintelligence

With a team like this, it’s no surprise the wins keep coming!

We’re proud to announce that Turing won the Business Intelligence Award 2022 #ArtificialIntelligence Excellence #Award

Scientists have harnessed the power of computational modeling to design a bioengineered heart valve that emulates the properties of native heart valves. The tissue-engineered heart valve (TEHV) was safe and performed well one year following transplantation into sheep, indicating it may one day offer a therapeutic tool for patients with heart valve conditions. Patients usually receive prosthetic heart valves for valvular heart disease (which remains a major global health burden), yet current prostheses suffer from limited longevity and fail to grow properly in young patients. Researchers have long explored using bioengineering approaches to create living heart valve replacements that can regenerate and remodel themselves to better accommodate the native circulatory system. However, none of the TEHVs under evaluation to date contain the unique properties of native heart valves needed to continuously adapt to changes in blood flow over time. To overcome this hurdle, Maximilian Emmert and colleagues used computational modeling to predict how TEHVs would remodel over time after transplantation - a strategy that allowed them to design a longer-lasting TEHV with improved valve mechanics and tissue structure.

So, the project I was working on over the break was an artificially intelligent Lego piece classification tool.

Lego pieces come in all sorts of shapes and sizes, each distinct type of piece is associated with a Lego part number. It’s not always easy to identify the number of the piece, often it is printed very small on the brick or the part needs to be found on a Lego cataloguing website.

The software I created could recognise 133 different Lego pieces correctly 50% of the time. An image like the one above can be given to the software and it is able to output that the piece is a “3001 Brick 2 x 4” With some time and effort, this sort of software should scale to the more realistic number of 3000 different Lego pieces. I was asked to create the tool by someone who trades with second hand Lego. It works reasonably well but I believe it could be improved, the software relies on an artificially intelligence model which has been trained to identify things such as cars, objects and animals, so creating the AI from scratch would be a worthwhile task. I do not have the hardware necessary to do this though, apparently powerful Nividia Graphics Cards are required to do this in a reasonable amount of time.

The Aadhunik.ai blog is a resource providing the latest news, insights, tutorials, and trends in artificial intelligence, aimed at both beginners and enthusiasts. It features easy-to-read content designed to keep readers updated and inspired about AI advancements. For example, the blog discusses emerging AI technologies like Google’s AI Summarizer, which drives zero-click traffic and affects publishers' content strategies for AI-driven search results.

Overall, the blog focuses on making AI approachable by covering practical AI applications, industry updates, and tutorials that help readers understand and adapt to the rapidly evolving AI landscape. It also emphasizes how AI impacts privacy, technical developments, and content discovery within AI search engines.

FDX, RYCEY, and Artficial Intelligence - InvestTalk Caller Questions