Search results for: 'artificial AND intelligence'

The Mobility Technology Opportunity Engine (TOE) covers innovations pertaining to Battery Intelligence, SoCs, Image Sensors, LiDAR and V2X among others.The purpose of the Mobility Technology TOE is to raise awareness of global technology innovations in self-propelled ground-based mobile platforms that are not only technically significant but potent...

The study evaluates photonic and optical computing technologies as critical enablers of next-generation AI infrastructure, addressing growing bandwidth, latency, power consumption, and scalability constraints associated with copper-based interconnects. The analysis covers photonic integrated circuits (PICs), optical I/O chiplets, co-packaged optics...

The Mobility Technology Opportunity Engine (TOE) covers innovations pertaining to EV charging, Automotive Grade IoT module, Autonomous driving, E-bike Platform, UAVs, and 4D Radars.The purpose of the Mobility Technology TOE is to raise awareness of global technology innovations in self-propelled ground-based mobile platforms that are not only techn...

The Mobility Technology Opportunity Engine (TOE) covers innovations pertaining to Urban Mobility, Radar, LiDAR, and Autonomous Fleet Intelligence, among others.The purpose of the Mobility Technology TOE is to raise awareness of global technology innovations in self-propelled ground-based mobile platforms that are not only technically significant bu...

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...

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...

This research study focuses on providing all the presentations from Frost & Sullivan's two-day workshop event held in September 2019 in Tokyo, called Intelligent Mobility. These include presentations from Frost & Sullivan Indian team and a host of other companies such as Amazon Web Services, Connector, DHL, Murata Manufacturing Co, Navitime Japan, ...

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...

Intelligent Mobility Japan, 2020 is a virtual summit organized by Frost & Sullivan on November 24 and 25, 2020. This is a 2-day interactive conference, which hosted on a unique virtual platform to discuss and evaluate Growth Opportunities in new Mobility Business models covering Personal and Public Transport Systems. The conference presenters inc...