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What is Trust in Machine Learning? – Veccari Begum, Paracad
Trust in Machine Learning is a step-by-step guide to developing AI for dangerous problems. When creating machine learning systems for important application domains, you need to improve accuracy. We also need to ensure that the model is fair, has not been tampered with, does not break under various conditions, and is understandable by individuals. The design and development process should be inclusive and open. We don’t want the system we built to be harmful. Instead, we want you to help people grow in ways they agree with.
For a long time, machine learning professionals have relied on metrics such as accuracy and precision to determine model reliability. These criteria measure the accuracy and precision of machine learning models. These can tell if the model is just guessing things or if it is learning something valuable. However, only in some cases can the number of correct predictions tell whether a machine learning model is performing well.
What is Biohacking Technology? – Rangan Reese, Chennai
Biohacking, commonly known as “body hacking,” refers to implanting electronic devices such as RFID chips, sensors, and magnets into the human body. For example, let’s say you eat from 3pm to 9pm every day and don’t eat for the remaining 16 hours. To achieve the best results, you need to try several techniques and hack your body. When you practice alternate-day fasting, you skip meals for one day, and then typically eat: You might limit your caloric intake one day and eat regularly the next.
Biohacking comes in 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 will generative AI be used in the medical field? – Chinnayan Kupang Nayak, Arcott
By automating many tedious and time-consuming steps, generative AI can help healthcare professionals expedite the process of patient service while also enhancing patient education.
Hospitals, clinics, and other healthcare facilities can use generative AI technology to streamline patient care, improve health outcomes, and boost the morale of healthcare workers.
Some future applications:
- Individualized patient care plan
- Improving medical imaging
- predictive maintenance
- Administrative support
How is AI used in the fashion industry? Which fashion brands are using AI? – Aragya Singer, Ayodhya
The potential impact of generative AI on the fashion sector is immense. Fashion companies can leverage technology to create designs that sell better, reduce marketing costs, create highly personalized relationships with consumers, and accelerate operations.
Tommy Hilfiger, the physical fashion company behind Web3, is experimenting with AI to engage people in co-creation, especially during Metaverse Fashion Week. Generative AI allows customers to design products in the brand’s preppy style.
Will AI take over UX design? – J Servalas, Bangalore
AI is unlikely to completely replace UI designers, but it will continue to play a role in UI/UX design. As AI technology improves, we expect to see additional tools and automation that make the design process more efficient and effective.
AI and UI/UX design coexist, and AI supports and enhances human creativity and problem-solving ability. Artificial intelligence will continue to automate tedious tasks, provide insights into user behavior, and enable designers to develop more effective and personalized experiences.
What is the AI paradox? – Raman Chandrasekaran, Delhi
AI will commoditize content creation while increasing the value of handcrafted content. As a result, the so-called “great AI paradox” emerges. Brands and marketers should weigh both the risks and benefits of including AI in their content marketing carefully.
What is the use of AI in the Supreme Court of India? – Cochin, Pancharai Rachel
During a live hearing of a constitutional court hearing on Maharashtra’s political crisis, we used an AI model to convert court arguments to text. Last week, the Supreme Court of India made history by launching live transcriptions of sessions using AI software.
