Search results for: 'd2cb intelligent pharma'

This Frost Radar™ analysis benchmarks vendors that offer open-source intelligence (OSINT) platforms for businesses, law enforcement, and government agencies to accomplish threat intelligence, due diligence, and risk evaluation investigations. Frost & Sullivan uses its proprietary benchmarking methodology to plot the top global vendors in the indu...

Intelligent sensors transform conventional home appliance devices to connected ones leveraging Internet. Connected home appliances integrated with intelligent sensors are smart electronic devices, which can be remotely accessed, monitored, and controlled using personal computers, laptops and smartphones. The key research focus areas in connected ho...

Cities have grown in size and population exponentially over the years, and citizen demands have also evolved. Developed and developing economies are working toward implementing smart cities aimed at sustainable development to enhance citizen lives along with environmental and socioeconomic improvements. Intelligent transportation systems (ITSs) ar...

Sensors are an integral component found in most digital devices, from smartphones to intelligent vehicles. Industrial Internet of Things, smart cities and factories, autonomous cars, and telehealth create a need for sensor solutions that offer advanced data analytics for efficient usage of energy sources, improved health and safety, and environment...

Multimodal sensor fusion is an advanced perception technology that combines data from multiple sensors, including cameras, LiDAR, radar, ultrasonic sensors, thermal cameras, and inertial measurement units (IMUs), to give robots and autonomous systems a more accurate, reliable, and comprehensive understanding of their environment. It overcomes the l...

The eCommerce and logistics industries are entering a period of accelerated transformation driven by the need for higher throughput, improved accuracy, and real-time operational intelligence. Emerging sensor technologies are becoming essential to support this shift as fulfillment centers, transport networks, and last-mile operations manage rising c...

This study focuses on heterogeneous computing architectures for automotive and robotics applications, examining how centralized and zonal compute architectures, heterogeneous SoCs integrating CPUs, GPUs, NPUs, DSPs, FPGAs, and dedicated safety islands, as well as robotics edge-AI controllers and mixed-criticality computing platforms, are enabling t...

Future of Retail 4.0 marks a pivotal shift in the retail landscape, driven by intelligent systems, automation, and ethical consumerism. Businesses are rapidly adopting models like Retail as a Service and Real-Time AI Pricing to enhance operational efficiency and dynamic market responsiveness. IoT-powered smart store infrastructure and AI-driven los...

This study examines the emerging landscape of neuromorphic computing and its role in enabling low-power, real-time, brain-inspired intelligence across edge and autonomous systems. It reviews advancements in spiking neural networks, memristor-based computing in memory, event-driven vision sensors, and hybrid neuromorphic and conventional architectur...