
MIT researchers recently made one of the boldest claims related to artificial intelligence we’ve seen yet: they believe they’ve built an AI that can identify a person’s race using only medical images. And, according to the popular media, they have no idea how it works! Sure. And I’d like to sell you an NFT of the Brooklyn Bridge. Let’s be clear up front, per the team’s paper, the model can predict a person’s self-reported race: In our study, we show that standard AI deep learning models can be t

Everyone knows about recycling, from when you throw boxes in the paper bin to taking bottles back to the store in exchange for a deposit. But a growing movement now throws recycling on its head: circular design. Circular design completely reimagines product design from the original blueprints to various product lifecycle stages and what happens to each product after it has fulfilled its original purpose. It’s a big deal in mobility and part of a broader circular economy. But I want to introduce

On Friday, Nissan revealed its most affordable EV to date. The so-called Sakura is a cute electric minicar with a base price of just under $14,000 (2,333,100 yen). Destined for the Japanese market, where Kei city-driving cars are popular, the Sakura comes with some pretty top-notch features for its category. Meet the mini EV. Credit: Nissan Powered by a 20kW lithium-ion battery, the EV has a top speed of 130km/h and enough juice for 180km of range — just 60km less than the Nissan Leaf. On the in

What happens when you publish research about car emissions that manages to piss off not just ICE owners but those using electric vehicles? Well, people have a lot of feelings. In 2020, UK independent emissions testing firm Emissions Analytics published a research paper claiming that tire particulate wear emissions were 1,000 times worse than exhaust emissions. It generated a huge amount of attention, with the story translated into over 40 languages worldwide. During driving, the rubber from ca

Imagine this: you’re having a nice day, the weather is great, you’ve enjoyed a brilliant breakfast… and suddenly your iPhone shows a photo memory with your ex to inadvertently ruin your day. Why, you ask, as you curse the heavens, does this have to happen to you? Well, Apple’s Photos app has a Memories feature that shows you algorithmically curated collections of photos and videos — based on different factors like dates, holidays, or places you visited. These memories can appear through a notifi

This article is part of our coverage of the latest in AI research. For humans, working with deformable objects is not significantly more difficult than handling rigid objects. We learn naturally to shape them, fold them, and manipulate them in different ways and still recognize them. But for robots and artificial intelligence systems, manipulating deformable objects present a huge challenge. Consider the series of steps that a robot must take to shape a ball of dough into pizza crusts. It must k

The European Central Bank and its counterparts in the UK, US, China, and India are exploring a new form of state-backed money built on similar online ledger technology to cryptocurrencies such as bitcoin and ethereum. So-called central bank digital currencies (CBDCs) envision a future where we’ll all have our own digital wallets and transfer money between them at the touch of a button, with no need for high-street banks to be involved because it all happens on a blockchain. But CBDCs also presen

This article is part of our coverage of the latest in AI research. In early May, Meta released Open Pretrained Transformer (OPT-175B), a large language model (LLM) that can perform various tasks. Large language models have become one of the hottest areas of research in artificial intelligence in the past few years. OPT-175B is the latest entrant in the LLM arms race triggered by OpenAI’s GPT-3, a deep neural network with 175 billion parameters. GPT-3 showed that LLMs can perform many tasks witho

Facebook Inc, now called Meta, announced its dating application, Facebook Dating, in May 2018. There was real excitement, with people expecting a revolutionary dating app that would soon beat Tinder. And it is no wonder when you consider the size of the company, its technical capabilities, and most importantly the large volume of data that Facebook has collected about its users. After all, research shows that Facebook knows us better than our mums, so why wouldn’t it live up to its goal of creat

The pilot must have seen a crash coming. The BlockDown Web3 conference was kicking off the next day. TNW was flying in to attend — but the fates had other plans. After descending towards the landing strip in Split, Croatia, the plane suddenly reversed course and climbed back into the skies. A shroud of Saharan sand had made it too dangerous to land — and the real drama had only just begun. When we finally arrived in Croatia the next day, the crypto market had entered its biggest downturn in year