Researchers are increasingly using artificial intelligence to enhance these methods of care delivery, potentially leading to improved patient outcomes.

AI is a complex field and there is both hype and hysteria around the subject. To help you explain it clearly to your audience, two community coordinators from the JournalismAI initiative asked four AI experts and tech reporters from across the world for their best tips. Karen Hao, senior AI editor at the MIT Technology Review, started covering AI spending lots of time on YouTube and learning the basics like: what is an algorithm? What are neural networks and how are they trained? What are the key milestones in the history of AI?

Spotify users on iOS and Android have another way to quickly play something. The audio streaming service has an in-app voice assistant you can operate hands free, building on the existing voice search function. After saying the "Hey, Spotify" wake word, you can ask the app to fire up a song or playlist or play music from a certain artist. You'll need to grant Spotify permission to access your microphone if you want to use the feature, which you can switch on from the voice interactions section of the menu. As GSM Arena notes, Spotify's privacy policy states that the service only stores recordings and transcriptions of your searches after you say the wake word or tap the voice button.

"We established the AI Research Catalyst Fund as a way to encourage multidisciplinary teams of faculty and students to rapidly pursue imaginative …

Researchers at the University of Barcelona have developed an open access, deep learning-based web app that will enable the detection and quantification of floating plastics in the sea with a reliability of over 80%. Floating sea macro-litter is a threat to the conservation of marine ecosystems worldwide. According to UNESCO, plastic debris causes the deaths of more than a million seabirds every year, as well as more than 100,000 marine mammals. Eroded fragments, known as micro-plastics, are now prevalent across the food chain. The largest density of floating litter is found in the great ocean gyres (systems of circular currents) with litter being caught and spun in these vast cycles.

Spotify added a new update to cater to its users exploring needs today. From today onwards, subscribers will be able to find new songs through personalized mixes. These mixes will be created based on the listener's tastes with old and new songs thrown in. The new feature is called Spotify Mixes and it is powered by machine learning. It adds uniquely customized lists of songs for the platform's users, both free-tier and premium-tier ones.

Before it was even released, Coded Bias was positioned to become essential viewing for anyone interested in the AI ethics debate. The documentary, which was released on Netflix this week, is the kind of film that can and should be shown in countless high school classrooms, where students themselves are subjected to various AI systems in the post-pandemic age of Zoom. It's a refreshingly digestible introduction to the myriad ways algorithmic bias has infiltrated every aspect of our lives--from racist facial recognition and predictive policing systems to scoring software that decides who gets access to housing, loans, public assistance, and more.

Yll Bajraktari is executive director of the National Security Commission on Artificial Intelligence, a group of industry executives and academics that has …

Tasks that rely on multi-modal information typically include a fusion module that combines information from different modalities. In this work, we develop a Refiner Fusion Network (ReFNet) that enables fusion modules to combine strong unimodal representation with strong multimodal representations. ReFNet combines the fusion network with a decoding/defusing module, which imposes a modality-centric responsibility condition. This approach addresses a big gap in existing multimodal fusion frameworks by ensuring that both unimodal and fused representations are strongly encoded in the latent fusion space. We demonstrate that the Refiner Fusion Network can improve upon performance of powerful baseline fusion modules such as multimodal transformers. The refiner network enables inducing graphical representations of the fused embeddings in the latent space, which we prove under certain conditions and is supported by strong empirical results in the numerical experiments. These graph structures are further strengthened by combining the ReFNet with a Multi-Similarity contrastive loss function. The modular nature of Refiner Fusion Network lends itself to be combined with different fusion architectures easily, and in addition, the refiner step can be applied for pre-training on unlabeled datasets, thus leveraging unsupervised data towards improving performance. We demonstrate the power of Refiner Fusion Networks on three datasets, and further show that they can maintain performance with only a small fraction of labeled data.

As we rely more on natural language processing to help us navigate our world, it's more important than ever that these artificial intelligence models -- used increasingly in applications such as caption generation for the visually impaired -- remain true to reality. "The issue is that deep learning-based neural language generation models have no guarantees in generating factually correct sentences that are faithful to the input data," said UC Santa Barbara computer scientist William Wang. Over the many iterations it takes for a language generation model to learn how to describe or predict what a scene depicts, elements can creep in, causing phenomena such as errors in data-to-text translations or object hallucinations, in which the caption contains an object or an action that doesn't exist in the image. As a result, unless you have a way of reining in these errors (or you're surrealist painter René Magritte) these mismatches could spell the end of the usefulness of the language generation model being used. "This is a huge problem," said Wang. "Imagine you are using a news summarization system to read earnings reports -- the loss of faithfulness can give you wrong numbers, wrong facts and misinformation. Similarly, if a visually impaired person relies on an image captioning system to see the environment, wrong generation could create serious consequences."