An introduction to Machine Learning silicon

Dennis Laudick, VP Commercial and Marketing, Machine Learning Group, and Rob Sanders, Technology Research, Deutsche Bank, discuss the relative merits of different processor types for executing machine learning workloads (CPUs, GPUs, DSPs, FPGAs, accelerators).

IoT for telecoms operators: Low Power Wide Area (LPWA) technology

Chet Babla, VP IoT Solutions, and Sandeep Deshpande, Semiconductor Analyst at JP Morgan, discuss the capabilities of different technologies for long-range IoT connectivity, (NB-IoT, LTE-M, LoRa, SigFox) and their market potential.

The economics of IoT

In this mini-series of webinars with Morgan Stanley, we explore (1) the long-term outlook for IoT spending, (2) the impact that IoT will have on business models in all industries, and (3) the actions that companies should take today to prepare for the coming information revolution.

The route to a trillion devices: the outlook for IoT investment to 2035

This white paper explores the link between (1) the profit incentives drive the deployment of IoT systems, and (2) the long-term roadmap for cost reduction in IoT technology and (3) Arm’s projection that a trillion IoT devices will be built between now and 2035. It concludes that the market for IoT technology (hardware and IT services) could reach $1 trillion per annum by 2035.

Accelerating Artificial Intelligence: A flexible approach to smarter SoCs

Nandan Nayampally (GM, Compute Products Group) and Gareth Jenkins (Technology Analyst, UBS) explore why new innovations in chip design are being driven by the rising popularity of Artificial Intelligence and Computer Vision. Nandan starts with a short presentation that explains how Arm’s new DynamIQ technology boosts AI performance on Armv8-A SoCs.

Smart Cities: where are we on the hype cycle?

Ani Deodhar (Arm IoT Solutions Lead) and Lee Simpson (Technology analyst at Stifel) discuss how smart city technology can create billions of dollars of value for private sector companies and public sector organisations and examples of where progress is being made today.

The route to seven nanometres

Ron Moore (Arm VP of Marketing, Physical IP) and Pierre Ferragu (Senior Analyst covering European Semiconductors at Bernstein) discuss the challenges facing the semiconductor industry as it progresses to the 7nm node, and how it can overcome them.

Machine Learning on Client Devices: when will my smartphone be smarter than me?

Jem Davies (VP Engineering and Arm Fellow) gives an introduction to Machine Learning, and explains how it is used in devices such as smartphones, automotive and drones.