On the Edge of Generative AI effects, insights, and forecasts
Discuss on-device generative AI in 2023 with experts.
Welcome back, Edge of Generative AI. In Qualcomm recent roundup, launched their new series on on-device AI’s expanding effect. Since then, AI has buzzed across all industries, and have been gathering data and interviewing her subject matter experts to help the world understand the AI landscape: from offloading the cloud with enabled Edge of Generative AI to predicting to evolution in 2024 and beyond.
These results demonstrate that on-device AI is changing how organizations and consumers function, improving experiences across the board. This should help you better understand and determine how on-device AI may benefit you, your business, and society.
Protecting privacy and security in generative AI
As generative AI evolves, privacy and security issues must be addressed. User data must leave devices for cloud-hosted generative AI models. By retaining user data on the device and making local judgments, on-device generative AI may overcome these issues. AI models are protected by biometric passwords and data encryption on devices.
Being personal with on-device AI
Edge AI guarantees privacy and security while personalizing. How? On-device AI uses user and environment data. Smartphones may use cameras and microphones for on-device inference to provide more relevant and individualized replies than the cloud, which would be expensive, wasteful, and unworkable. The result? A better, more personalized user experience.
Generative AI: From generic cloud to individualized intelligent device
Ziad Asghar, Qualcomm Technologies’ Senior Vice President of Product Management, Snapdragon Technologies, and Roadmaps, discusses the value of on-device generative AI now and in the future, moving toward contextually aware models. This offloads the cloud while maintaining privacy. Asghar also discusses how on-device AI will revolutionize device interaction.
Generative AI improves efficiency for everybody.
Qualcomm lead technology since the wireless and mobile revolution and now the AI revolution. Qualcomm Chief Marketing Officer Don McGuire discusses AI’s future and its effects on society, industry, and humanity. This covers how the AI hype cycle may last, the many intriguing AI applications accessible now, and how AI will scale to video, gaming, the metaverse, and more.
Positive societal effect of AI
AI’s potential to boost productivity has been much debated. What about the chance to improve society? Discover how AI can boost creativity, accessibility, and scientific discovery while providing faster insights.
AI’s capacity to gather and interpret massive quantities of data, make predictions, and automate processes makes it useful for solving the world’s biggest problems.
Modern AI improves cross-modal perception
Qualcomm AI Research team’s state-of-the-art (SOTA) breakthroughs are set to alter video streaming, autonomous driving, and augmented reality. Discover her latest research in 3D creation, computer vision, wireless sensing, efficient voice recognition, and more.
AI now and in 2024
On-device generative AI is democratizing AI on consumer products to improve user experiences. Durga Malladi, Qualcomm Technologies’ Senior Vice President and General Manager, Technology Planning and Edge Solutions, discusses how the technology is evolving in 2024, its growing impact on language and speech processing, what’s driving large-scale deployment, AI’s diverse workloads, and more.
Generative AI economy: Worth $7.9T max
Analysts are assessing technology’s economic effect as tech corporations invest in generative AI. This is difficult since generative AI has unlimited potential to change how humans learn, work, play, and live. The opinion is that generative AI has great economic potential but cannot be quantified in cash.
Edge of Generative AI optimization
Generative AI applications are growing in popularity, forcing some or all Edge of Generative AI like smartphones, PCs, XR headsets, and more. Quantization, pruning, and knowledge distillation help run generative AI models more effectively on devices while retaining accuracy, reducing latency, improving privacy, and other benefits.