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State of AI in Financial Services

#artificialintelligence

Recently, Nvidia released a new report called the State of AI in Financial Services. To learn more, I caught up with Pahal Patangia, Global Developer Relations Lead for Consumer Fintech at Nvidia. Below is the transcript of our conversation (slightly edited for clarity). Theodora: Now, I know oftentimes when we think about Nvidia, we think about graphics cards. Nvidia is also a full stack, accelerated computing platform company that has been in the financial services space for 15 years.


Study Says AI Improves Sensitivity of Fracture Detection by 20 Percent

#artificialintelligence

Researchers have noted that traumatic fractures are among the most commonly missed diagnoses.1,2 However, a new study suggests that artificial intelligence (AI) may have significant benefit in improving the assessment of fractures.3 In the study of 500 patients (268 men and 232 women), researchers compared unassisted assessment of acute fractures versus assessment with the assistance of an FDA-cleared algorithm (Boneview, Gleamer) and stand-alone use of AI. The authors found that AI assisted assessment had a 20 percent higher sensitivity (86 percent) of diagnosing fractures on radiographs in comparison to unassisted assessment (66 percent). The use of AI assistance led to a lower number of false negatives (26) in comparison to unassisted radiograph assessment (64), according to the study.


Life-threatening ventricular arrhythmia prediction in patients with dilated cardiomyopathy using explainable electrocardiogram-based deep neural networks

#artificialintelligence

The study population were patients with dilated cardiomyopathy, in which an explainable pre-trained deep neural network (FactorECG) was trained for the outcome of life-threatening ventricular arrhythmias. This network encoded the median beat ECG into 21 factors to generate an ECG using only these factors, allowing to evaluate most characteristics that make up an ECG automatically, in a relatively small dataset. LVAD, left ventricular assist device.


Meta's latest AI model will make content available in hundreds of languages

ZDNet

Meta has open-sourced an AI model that can translate across 200 different languages, the company announced Wednesday -- a move that should open up different technologies and digital content to a much wider audience. The model, called No Language Left Behind, can translate across 200 languages, including 55 African languages, with high-quality results. "A handful of languages -- including English, Mandarin, Spanish and Arabic -- dominate the web," the company noted in a blog post. "Native speakers of these very widely spoken languages may take for granted how meaningful it is to read something in your own mother tongue. NLLB will help more people read things in their preferred language, rather than always requiring an intermediary language that often gets the sentiment or content wrong." Meta is of course using NLLB to improve its own products, but by open sourcing the model, technologists can use it to build other tools -- like an AI assistant that works well in languages such as Javanese and Uzbek, or closed captioning in Swahili or Oromo for Bollywood movies.


'Brain switch' stops us from running before the starting gun is fired, study finds

Daily Mail - Science & tech

Experts have discovered an'impulsivity switch' in the brain that lets mammals suppress the urge to'jump the gun' and only act when the time is right. In lab experiments on mice, researchers found a brain area that's responsible for driving action and another that's responsible for suppressing that drive. Manipulating neurons, also known as nerve cells, in these areas can override our ability to control the urge to jump the gun and therefore trigger impulsive behaviour. Keeping the'impulsivity switch' on is how athletes stop themselves from running before the starting gun has fired, how dogs obey a command to resist a treat, or how lions in the wild can wait for the perfect moment to pounce on its prey. Keeping our'impulsivity switch' on is how athletes stop themselves from running before the starting gun has fired (file photo) 'We discovered a brain area responsible for driving action and another for suppressing that drive,' said study author Joe Paton, director of the Champalimaud Neuroscience Programme in Lisbon, Portugal.


WNS Expands Intelligent Automation Capabilities with Acquisition of Vuram - Express Computer

#artificialintelligence

WNS (Holdings) Limited a leading provider of global Business Process Management (BPM) services, today announced it has acquired Vuram, a global leader in enterprise automation services. Vuram helps companies accelerate digital transformation by aligning, automating, and optimizing processes using a combination of low-code software applications and intelligent automation platforms. By integrating these technologies into core business operations, Vuram is able to drive end-to-end enterprise automation and the creation of custom, scalable BPM solutions. These solutions include the ability to extract, collect, and categorize data using OCR and AI-based document processing, develop rule-based processing engines and ML-based augmentation, and leverage advanced analytics to improve decision-making. Vuram has also created customizable, low-code, "plug and play" solutions across front, middle, and back-office functions, including industry-specific solutions for the Banking/Financial Services, Insurance, and Healthcare verticals.


Swarm of shapeshifting microrobots can brush, rinse and floss your teeth

Daily Mail - Science & tech

Just as many people have replaced their manual toothbrush with an electric one, so too could robots usher in a new era of teeth cleaning. Scientists have created a swarm of shapeshifting microrobots that they claim can brush, rinse and floss your teeth all at the same time. In a proof-of-concept study, researchers from the University of Pennsylvania showed that the hands-free system could effectively automate the treatment and removal of tooth-decay-causing bacteria and dental plaque. The system could be particularly valuable for those who lack the manual dexterity to clean their teeth effectively themselves, the experts said. The building blocks of these microrobots are iron oxide nanoparticles which have both catalytic and magnetic activity.


AI Machine-Learning: In Bias We Trust?

#artificialintelligence

MIT researchers find that the explanation methods designed to help users determine whether to trust a machine-learning model's predictions can perpetuate biases and lead to worse outcomes for people from disadvantaged groups. According to a new study, explanation methods that help users determine whether to trust machine-learning model predictions can be less accurate for disadvantaged subgroups. Machine-learning algorithms are sometimes employed to assist human decision-makers when the stakes are high. For example, a model may predict which law school candidates are most likely to pass the bar exam, assisting admissions officers in deciding which students to admit. Because of the complexity of these models, often having millions of parameters, it is nearly impossible for AI researchers to fully understand how they make predictions.


The Download: Tweaking AI for energy efficiency, and China's leaked data

MIT Technology Review

What's the news?: Deep learning is behind machine learning's most high-profile successes. But this incredible performance comes at a cost: training deep-learning models requires huge amounts of energy. Now, new research shows how scientists who use cloud platforms to train algorithms can dramatically reduce the energy they use, and therefore the emissions they create. How can they do it?: Simple changes to cloud settings are the key. Researchers created a tool that measures the electricity usage of any machine-learning program that runs on Azure, Microsoft's cloud service, during every phase of their project.


Meta's latest AI can translate 200 languages in real time

Engadget

More than 7,000 languages are currently spoken on this planet and Meta seemingly wants to understand them all. Six months ago, the company launched its ambitious No Language Left Behind (NLLB) project, training AI to translate seamlessly between numerous languages without having to go through English first. On Wednesday, the company announced its first big success, dubbed NLLB-200. It's an AI model that can speak in 200 tongues, including a number of less-widely spoken languages from across Asia and Africa, like Lao and Kamba. According to a Wednesday blog post from the company, NLLB-200 can translate 55 African languages with "high-quality results."