Dillon Lawrence

5 days ago | bernardmarr.com | Dillon Lawrence |Bernard Marr

One thing that’s clear is that although generative AI is quite capable of doing work for us while we put our feet up and relax, many prefer to use it for generating ideas and brainstorming. This could simply come down to the quality of AI-generated material or even inbuilt bias in humans that deter us from wanting to consume robotic content. It's often noted that generative AI writing style can come across as very bland and formulaic.

5 days ago | bernardmarr.com | Dillon Lawrence |Bernard Marr

Written byBernard Marr is a world-renowned futurist, influencer and thought leader in the fields of business and technology, with a passion for using technology for the good of humanity. He is a best-selling author of over 20 books, writes a regular column for Forbes and advises and coaches many of the world’s best-known organisations.

5 days ago | bernardmarr.com | Dillon Lawrence |Bernard Marr

Batteries are usually the most expensive component of electric vehicles. The need to generate a large amount of energy from a device of the minimum size, weight and manufacturing cost creates a tough engineering challenge. A partnership between Hyundai and IonQ, however, has resulted in technology that can better model the properties of lithium compounds used in battery cathodes. This enables researchers to quickly test candidate materials via simulation and vastly speed up the discovery process.

5 days ago | bernardmarr.com | Dillon Lawrence |Bernard Marr

Amazon recently became the latest of the AI giants to unveil their own agentic AI model, called Nova Act. Similar to ChatGPT Operator, it can take control of a web browser and use it to do many of the same things we can do. When you think of how many day-to-day activities we use apps on our phones for, it becomes clear how big the impact of this on our lives could be. According to Amazon, Nova Act is capable of booking trips, completing online purchases and managing calendars and to-do lists.

1 week ago | bernardmarr.com | Dillon Lawrence |Bernard Marr

We start our roadmap with quantum computing, which has already achieved several significant milestones and is moving out of labs and into businesses. Media coverage often revolves around the issue of quantum supremacy – the point where quantum computers will perform tasks that would be impossible or impractical for “classical” computers. Google claimed to have achieved it in 2019 with its 54-bit Sycamore quantum processor, but its performance was later beaten by classical computers.