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What is trust in machine learning? - Vekkali Begum, Palakad

Trust in Machine Learning is a step-by-step guide to developing AI to handle high-stakes problems. Accuracy must be improved when creating machine learning systems for critical application domains. You must also ensure that your models are fair, have not been tampered with, will not break apart under diverse conditions and that individuals can understand them. Your design and development process must be inclusive and open. You don't want the systems you build to be detrimental; instead, you want them to help people grow in ways they agree.

For a long time, experts in machine learning relied on criteria like accuracy and precision to determine how reliable their models were. These criteria measure the accuracy and precision of a machine-learning model. They can tell us whether a model is just guessing at things or if it has learned something valuable. However, it is only sometimes possible to discern whether a machine learning model performs well from the number of correct predictions.

What is biohacking technology? -Rangan Rees, Chennai

Biohacking, often known as "body hacking," refers to implanting electronic devices—such as RFID chips, sensors, magnets, and so on—into a human body. For instance, you might eat from 3 pm till 9 pm daily and then abstain from food for the remaining 16 hours. You must hack your body by trying several techniques to achieve the finest results. When you practise alternate-day fasting, you abstain from food for a day and then usually eat the following. One day you might limit your calorie intake, and the next day you might eat regularly.

Biohacking can take many forms. The three most common are grinders, DIY biology kits, and nutrigenomics kits. According to Gartner, AI and biohacking will determine the future of technology.

How is generative AI used in healthcare? - Chinnayan Kuppan Nayak, Arcot

By automating many tedious and time-consuming procedures, generative AI can help healthcare practitioners expedite the patient services process while also boosting patient education.

Hospitals, clinics, and other healthcare facilities can streamline patient care, enhance health outcomes, and boost healthcare worker morale with generative AI technology.

Some future applications:

• Individualised Patient Care Plans
• Improved Medical Imaging
• Predictive Maintenance
• Administrative Assistance

How is AI being used in the fashion industry? Which fashion brand uses AI? - Alagiya Singer, Ayodhya

The potential impact of generative AI on the fashion sector is enormous. Fashion companies may leverage technology to generate better-selling designs, lower marketing costs, hyper-personalize consumer relationships, and accelerate operations.

Tommy Hilfiger, a physical fashion company engaged in web3, is experimenting with AI to involve people in co-creation, particularly during Metaverse Fashion Week. Generative AI allows customers to design goods in the brand's preppy style.

Is AI taking over UX design? - J Selvarasu, Bengaluru

While AI is unlikely to replace UI designers completely, it will continue to play a role in UI/UX design. We should expect to see additional tools and automation that make the design process more efficient and effective as AI technology improves.

AI and UI/UX design will coexist, with AI supporting and enhancing human creativity and problem-solving abilities. Artificial intelligence will continue to automate monotonous operations and provide insights into user behaviour, enabling designers to develop more effective and personalized experiences.

What is the paradox of AI? - Raman Chandrasekaran, Delhi

AI commodifies content creation while increasing the value of handcrafted content. As a result, the so-called "great paradox of AI" emerges: brands and marketers must engage AI in content marketing with caution, considering both the risks and the rewards.

What is the use of AI in the Supreme Court of India? - Panchalai Rachel, Cochin

During the live proceedings of the constitution bench hearing on the Maharashtra political crisis, the AI model was employed to convert court arguments into text. Last week, the Supreme Court of India made history by utilizing AI software to begin live transcription of sessions.

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