Artificial Intelligence

Tuesday 15 December 2020 (3 sessions to choose from) - The current state of global agriculture; Key technology trends in the field of agricultural robotics; Enabling technologies in agricultural robotics; and Case study discussions of autonomous tractors and robotic fresh fruit picking.

The sudden spread of COVID-19 in early 2020 has considerably exacerbated the existing issue of growing patient backlogs. Image recognition artificial intelligence (AI) represents a potential solution to this problem.

A comprehensive study and market assessment of 3D lidar, with a focus on the automotive sector, reveals that while the market for lidar has expanded, the next few years will prove crucial for all involved.

Thursday 10 December 2020 (3 sessions to choose from) - This webinar covers the following topic areas: Drone designs; Drone use cases; Forecasts for 2021-2031; and Forecasts for 2031-2041.

IDTechEx's recent market research report on Drones and their associated technologies predicts the drone market to be over $22Bn by 2041.

What are the main use cases for drones in 2030, 2040? Who are the major players in the drone market? What are the key drivers for market growth? What is the projected revenue for the drones market from 2020 onwards?

AI in Medical Diagnostics 2020-2030 - this IDTechEx report benchmarks 60+ companies for image recognition AI performance, market readiness, value proposition, technical maturity and more. It includes granular forecasts for 12 clinical applications, insights into addressable market size and penetration until 2030.

Thursday 19 November 2020 - AI in Medical Diagnostics - An Impending Revolution? This webinar includes a Q&A session. Please submit any questions to annick@IDTechExWebinars.com by Sunday 15th November.

This article discusses key technological issues that AI image diagnostics companies face and provides a roadmap describing when and how they are likely to be overcome over the next decade, based on research conducted by IDTechEx in the report "AI in Medical Diagnostics 2020-2030: Image Recognition, Players, Clinical Applications, Forecasts".

This IDTechEx article assesses the technological status of image recognition AI in medical diagnostics today, detailing its current capabilities and value proposition. The article also identifies key technological issues currently limiting the uptake of image recognition AI and discusses opportunities for improvement.