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Artificial Intelligence Beats Doctors At Predicting Heart Attacks

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Every year an estimated 20 million people all across the globe die due to cardiovascular disease. It becomes the leading cause for both men and women and most of the times these heart attacks are preventable. Doctors are pretty good at identifying the early symptoms of heart attacks and also warning the patients about the upcoming risks. But now it became little surprising to know that computers do the job even better than the doctors.

Scientists at the University of Nottingham have a new way of anticipating heart failure among patients. The researchers developed a set of computer programs which used artificial intelligence that could predict heart attacks even better than the doctors. These algorithms were trained on real patient records and developed criteria which then outperformed the current guidelines set by the American Heart Association (AHA)

The AHA has developed a set of guidelines to estimate a patient’s probable risk of cardiovascular disease, which is based on 8 factors including age, cholesterol level, and blood pressure. On average, this system correctly guesses a person’s risk at a rate of 72.8 percent.

This is how the research went on:

  • Stephen Weng, an epidemiologist at the UK University and his team built four computer learning algorithms and fed them data from as many as 4 lakh patients suffering from cardiovascular disease.
  • The system first used 295,000 records fro generating their internal predictive models
  • Then they used the remaining records to test and refine them.
  • These algorithm results outperformed the AHA guidelines by 7.6 percent while raising 1.6 percent fewer false alarms.

It is interesting to learn that the AI systems identified a number of risk factors like severe mental illness and the consumption of oral corticosteroids which are not currently included in the AHA guidelines.

Weng told in an interview: “There is a lot of interactions in biological systems. That is the reality of the human body. What computer science allows us to do is to explore those associations.”

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Meta’s Upcoming AR Glasses: A Sneak Peek

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Meta is developing its first true AR glasses, set to launch in 2027. Before the public release, employees will test the device starting in 2024. The company is also releasing new generations of Ray-Ban smart glasses in 2023 and 2025 with enhanced features like a “viewfinder” display.

Specifications and Features

The AR glasses are expected to feature OLED displays and Qualcomm Snapdragon chipsets, offering sophisticated AR and AI capabilities. They will enable users to interact with virtual objects and project high-quality holograms of avatars onto the real world.

Design and Competition

Meta aims for a sleek design, potentially building on its Ray-Ban partnerships. The AR glasses market is competitive, with Apple and Google also investing heavily. Meta seeks to make its AR glasses a game-changer by offering a unique user experience.

Future Plans

In addition to AR glasses, Meta is expanding its VR offerings with new headsets like the Quest 3 and exploring other wearable technologies. The company is focused on reducing costs to make the AR glasses more consumer-friendly by launch.

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OneStack Secures $2 Million to Digitize Cooperative Banking in India

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OneStack, a Gurugram-based fintech startup, has raised $2 million in a pre-Series A funding round led by GrowX, Stride Ventures, 9Unicorns, and Venture Catalyst. The funding aims to accelerate the digitization of cooperative banks and credit societies across India, with the company setting an ambitious target of modernizing over 1,000 institutions by the end of 2025.

Driving Digital Transformation

Founded in 2019 by Amit Kapoor and Vishal Gupta, OneStack offers innovative solutions such as OneCBS (Core Banking Solution), a cloud-based platform designed to streamline operations, enhance customer experiences, and enable data-driven decision-making for cooperative banks. Additionally, it is introducing SoundBox, a merchant ecosystem solution that facilitates seamless digital payment services.

Currently serving over 200 cooperative banks, OneStack plans to expand its reach into South and East India while establishing nationwide offices and growing its team. This funding will also support the deployment of advanced technologies like UPI Switch and Bharat BillPay systems to empower banks with branded digital payment services.

Impact on Financial Inclusion

OneStack’s efforts align with India’s Digital Bharat initiative, aiming to bridge the technology gap for underserved financial institutions. By digitizing cooperative banks, which serve nearly 50% of India’s bankable population, the startup is driving financial inclusion for millions. “This funding propels our growth journey at an accelerated pace,” said Amit Kapoor, Founder and CEO. “We are empowering cooperative banks to compete in this digital epoch.”

With this milestone funding, OneStack is poised to transform India’s cooperative banking landscape while fostering innovation and financial accessibility nationwide.

 

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Artificial Intelligence

Social Media Platforms Push for AI Labeling to Counter Deepfake Risks

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Social media platforms are intensifying efforts to combat the misuse of deepfake technology by advocating for mandatory AI labeling and clearer definitions of synthetic content. Deepfakes, created using advanced artificial intelligence, pose significant threats by enabling the spread of misinformation, particularly in areas like elections, politics, and personal privacy.

Meta’s New Approach

Meta has announced expanded policies to label AI-generated content across Facebook and Instagram. Starting May 2025, “Made with AI” labels will be applied to synthetic media, with additional warnings for high-risk content that could deceive the public. Meta also requires political advertisers to disclose the use of AI in ads related to elections or social issues, aiming to address concerns ahead of key elections in India, the U.S., and Europe.

Industry-Wide Efforts

Other platforms like TikTok and Google have introduced similar rules, requiring deepfake content to be labeled clearly. TikTok has banned deepfakes involving private figures and minors, while the EU has urged platforms to label AI-generated media under its Digital Services Act guidelines.

Challenges Ahead

Despite these measures, detecting all AI-generated content remains difficult due to technological limitations. Experts warn that labeling alone may not fully prevent misinformation campaigns, especially as generative AI tools become more accessible.

Election Implications

With major elections scheduled in 2025, experts fear deepfakes could exacerbate misinformation campaigns, influencing voter perceptions. Social media platforms are under pressure to refine their policies and technologies to ensure transparency while safeguarding free speech.

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