AI Transforms Technology and Society: Generative AI, Protein Prediction, and Ethical Considerations
![AI Transforms Technology and Society: Generative AI, Protein Prediction, and Ethical Considerations](https://d3wo5wojvuv7l.cloudfront.net/t_square_limited_480/images.spreaker.com/original/7216161843822b43ac7a112dfc248c05.jpg)
Sign up for free
Listen to this episode and many more. Enjoy the best podcasts on Spreaker!
Download and listen anywhere
Download your favorite episodes and enjoy them, wherever you are! Sign up or log in now to access offline listening.
Description
Artificial intelligence and its subset, generative AI, have changed the face of technology and our interaction with it. From simple tasks such as setting reminders through our voice assistants to...
show moreThe increasing usage of generative AI particularly, is worth highlighting. Take OpenAI’s Chatbot GPT-3, for instance. It's an AI model that can generate human-like text by predicting the next word in a sequence, hence the term 'generative'. It has immense potential and has shown proficiency in multiple languages, creating a hub for global communication. GPT-3's technology is smart, contextually accurate, and impressively mimic human-like conversation style. It's contributing to a democratized digital landscape where information and assistance are accessible to all.
AI has further lent itself to redesign traditional industries. In health care, Google's DeepMind launched AlphaFold, an AI system that can predict the 3D structure of proteins, a scientific problem that eluded scientists for decades. This development could extraordinarily enhance our understanding of diseases and expedite drug discovery, impacting the overall public health positively.
Other tech giants like IBM, Microsoft, and NVIDIA are also at the forefront of AI innovation. IBM Watson is revolutionizing industries with its cognitive computer power. Microsoft’s AI platform, Azure, and their reinforcement learning tool, Project Bonsai, are empowering businesses to make AI-driven decisions.
The graphics processing unit (GPU) manufacturer, NVIDIA, focusing on the hardware side of AI, has designed GPUs like the A100 Tensor Core, which accelerates AI workloads, fostering faster and efficient computation. Indeed, the synergy of robust hardware and software is propelling AI forward.
Despite these benefits, remember that AI is a tool entirely governed by human control and usage. While tech giants are doubling down on developing robust AI systems, they're equally invested in creating a strong ethical AI foundation. OpenAI’s commitment to ensuring that "artificial general intelligence (AGI) benefits all of humanity" stands testament to this commitment. It’s not just about technological advancement, but shaping it beneficially for society at large.
Let's also discuss adversarial AI – a significant concern within the AI community. It examines ways of fooling AI systems into making wrong decisions. An area of focus tends to be on the robustness of AI models. Companies like DeepMind, for instance, are increasingly working towards understanding them to fortify AI systems.
Furthermore, it’s important to address job displacement fears associated with AI. However, the history of technological evolution shows that new technologies, while disrupting existing jobs, generate new kinds. AI is no exception, as it's likely to create new roles requiring new skill-sets, facilitating a technological shift rather than a societal breakdown.
AI's scope is vast and constantly growing. While the present is filled with exciting developments, the future of AI promises to revolutionize life as we know it. Each day brings new advancements, and sharing them with all of you not only excites me, it acknowledges the immense human ingenuity creating these monumental strides in technology. May we all embrace this exciting journey together.
Information
Author | QP-4 |
Organization | William Corbin |
Website | - |
Tags |
Copyright 2024 - Spreaker Inc. an iHeartMedia Company