On March 29, 2023, Qualcomm Technologies, Inc hosted an event in Kuala Lumpur to demonstrate its newest advances in artificial intelligence (AI) and the promise of Connected Intelligent Edge. The event emphasised the importance of driving edge computing innovations to change sectors, power new consumer experiences, and drive the development of the digital economy as part of its continuing campaign, “The Edge of Possible.”
Bringing connectivity, data processing, and intelligence to the edge
- The Connected Intelligent Edge is the merging of 5G networks, peripheral processing, and artificial intelligence. This combination enables real-time data processing and analysis, resulting in quicker decision-making and reaction times. As a consequence, this technology can be used in a variety of sectors, including production, transportation, and security.
- Connected Intelligent Edge devices in healthcare watch patients in real time, giving medical workers with crucial data to provide improved treatment. These devices, for example, can monitor a patient’s vital signs, such as blood pressure and pulse rate, and transmit the data to healthcare professionals in real time. This technique enables medical professionals to rapidly identify issues and take suitable action.
- Intelligent Edge devices that are connected are being used in transit to make cars safer and more effective. Sensors positioned throughout a vehicle, for example, can track its performance and provide real-time data to the user, notifying them to any problems. The data can help avoid accidents and increase fuel efficiency, lowering expenses and decreasing environmental effect. Furthermore, technology has the potential to build smarter, more efficient transit systems, increasing traffic movement and decreasing congestion.
- Connected Intelligent Edge technology has the ability to transform the way we live, work, and engage with one another. The Connected Intelligent Edge technology, with its ability to gather, process, and evaluate massive quantities of data in real time, allows us to build a more efficient, secure, and creative world.
Keeping enterprise environments safe with smart devices at the Connected Intelligent Edge
- Intelligent camera systems that are networked can secure and protect corporate settings, change enterprise security and public safety sectors, and maximise business operations.
- Three technology trends driving innovation in camera technology for the security industry are:
Security camera sensors are rapidly transitioning from Full HD (FHD) to 4K resolutions. Camera makers are adding multiple sensors to a single camera unit, enabling higher utilization of the underlying hardware - Modern security cameras have increased compute capabilities, and companies are innovating with newer machine-learning models for various use cases: people and object detection, classification, people counting, vehicle recognition.
- 5G offers low delay and high bandwidth, allowing security cams to be used in a variety of new applications ranging from mission-critical emergency services to smart workplaces and smart communities.
- The AI Box is an intelligent edge device that allows conventional IP camera video feeds to be offloaded and handled through the box, which is driven by system-on-chip (SOC)s intended for high compute and concurrency of machine learning-based analytics across multiple camera streams.
Driving PC and smartphone integration for increased efficiency
- Video chatting has been improved and made more casual. Improved video conference experiences are provided by AI-enabled Computers, which include noise suppression, backdrop blur, auto-framing, and eye gaze adjustment. Qualcomm and Microsoft worked together on Snapdragon to allow these new AI-accelerated experiences for Windows 11, all while maintaining performance and battery efficiency. Snapdragon instead cleverly offloads these numerically demanding duties to a specialised AI engine, freeing up CPU and GPU resources.
- Enhanced protection and security. Because a significant part of the workforce is no longer on-site, AI is enabling new remote device control methods, zero-touch deployments, and enhanced endpoint security. AI in Computers can also use Wi-Fi as a closeness detector to improve PC privacy. For example, the Computer can wake up when a user sits down and lock down when the user departs their workstation.
- Tools to boost efficiency and drive creativity. The end-user experience is powered by the programme environment. As apps are tailored for Snapdragon, developers will be able to use on-device Intelligence and leverage new methods to personalise the user experience. When a user is editing photos, for example, the creative application can instantly make changes that enhance the image.
- Artificial intelligence skills are being integrated into business PCs, which will become more common. The goal is to provide enterprises with sufficient computing capacity to successfully manage their workforces. On-device AI allows software apps to fully utilise AI powers. The aim is to provide customers with an optimised experience by improving software, hardware, and connectivity and removing any barriers between users and their goals.