Many people claim current technological progress as happening at a faster and faster pace (exponential even), with no end in sight. The merits and detriments of technology can be argued ad nauseum, but I won't be getting into that in this post (I generally view technology itself as neutral -- it can be used to improve human life or terribly misused to oppress, control, and kill). What I am going to briefly explore here is the question: is current progress in AI exponential? And if so, what implications does that have for estimates on the arrival of human level or superhuman level AI? Before I dive in, it's worth asking (if you didn't study mathematics): why does it matter if something is changing exponentially? Frequently people think the word "exponential" means "really fast", which is sometimes true, but doesn't capture much of the meaning of the concept.

Artificial Intelligence is growing at a faster pace. Despite the unprecedented situation of coronavirus, 2020 till date has witnessed sustained momentum. Funding has increased by 51% to $8.4B from the previous quarter. With this faster pace, it is also attracting a series of funding and financial investments. Let's go through some of the important investments in artificial intelligence and robotics companies in July 2020.

Artificial Intelligence is growing at a faster pace. With this faster pace, it is also attracting a series of funding and financial investments. Let's go through some of the important investments in artificial intelligence companies in June 2020.

"It's good to have high-quality competition; it helps drive research forward at a faster pace." You must be wondering why I have put up this quote while the topic says about artificial intelligence (AI) for web development companies? Well, certainly, to give you a clear picture of what I am going to explain ahead. For any business, it is very important to have competition as it makes it follow the trends. Similarly, in the world of web development and designing, there always remain a need for changes in order to meet the demand to deliver a better user experience to the end-users.

The ongoing debate about robots and artificial intelligence eliminating jobs calls for dramatic shifts in the way financial services will be delivered. And yet, the banking profession hasn't really changed much in the last few years, and new technologies haven't caused radical disruption (yet). Nonetheless, I believe change and a high-tech approach are inevitable. Change might just take longer and will happen in rather unexpected ways. There is a lot of hype about robots and artificial intelligence (AI) taking our jobs, and for many observers, especially bankers, Frankenstein's monster is still present in their minds.

At a high level, Artificial Intelligence (AI) is a branch of computer science that makes machines imitate intelligent human behavior, simulating (and often exceeding) human performance. AI has finally emerged as the future, after unfulfilled hype that goes back to the 1950s, due to developments such as the availability of an immense amount of data, the open-sourcing of ML algorithm development, and advances in high-density parallel processing infrastructure. In fact, IBM now believes the technology solutions market for AI amounts to a staggering $2 trillion over the next decade. Data is the new oil, and 90% of data in the world right now has been created in the last 2 years alone. The power of data has actually lagged the technical capability to monetize it efficiently and effectively, in a world where the use of data is moving from a competitive advantage to a requirement to compete.