16 AUGUST, 2021
Artificial Intelligence and Machine Learning are changing the way humans interact with the world as we know it, creating new markets and amazing advancements in our lives, with an ever-increasing number of uses in a wide range of industries and applications emerging each day.
It is no surprise that there has been so much growth in AI, especially with today's tech boom and new data becoming available at mind-numbingly quick rates. How is artificial intelligence set to take over the future and why should you pay attention to what is going on?
With self-learning systems and data, it will be able to do even more complex processes within hours that could take months or in some cases even years for humans to do manually.
The potential to free up time utilising this technology is incredible. If it seems quick now, imagine what the next 5 years will bring!
The First Artificial Intelligence Program
At the beginning, AI first came into our technological awareness, albeit very subtly, 65 years ago.
But your relatives probably wouldn't even remember, not unless they were research scientists or in the military!
It was John McCarthy, creator of the LISP programming language which is still in use, who first coined the expression ‘Artificial Intelligence’.
He held a conference at Dartmouth college that showcased the very first AI program called ‘The Logic Theorist’.
It was designed and written in IPL, on a system at the RAND corporation by scientists Herbert Simon, Allen Newell and systems programmer John Shaw. Its goal was to mirror problem-solving skills encountered by humans.
Fast forward to 2016 however, when Sophie the robot was presented at the South By Southwest convention to the world.
The public first saw the stunning power, and potential future power of this technology.
Predictive learning, getting smarter over time (with Google’s alphabet), facial recognition and tracking. Sophia the robot is the metaphor for Artificial Intelligence: data gathering and neural-networking.
Oh, the lag between ‘The Logical Theorist’ and Sophie?
Well that’s down to processing power.
To quote writer and researcher Tim Hwang, from his informative paper ‘Computational Power and the Social Impact of Artificial Intelligence’ published on SSRN.com in 2018. ‘it (AI) is inextricably tied to computational power’.
An ever increasing power.
Just to cement the point further, Moore's law (defined by Gordon Moore, the groundbreaking American engineer), turns 56 this year.
If you aren't aware, it states ‘the number of transistors and resistors on a chip doubles every 24 months’ when factoring in the reduced prices of chips at the same time.
But today in 2021 as software increases in sophistication, computational power may get even faster than Moore hypothesised.
In an April 2021 article in Forbes.com entitled ‘How Computational Software Helps Deliver Increasing Computing Power’, writer Russ Barham states that ‘algorithms enable chip designs that meet the requirements of the semiconductor manufacturer‘ .
So is this the tail wagging the dog?
Software begetting hardware and hardware begetting software?
AI technology is going to change significantly in the future.
Over time, these decision-making algorithms can become automated through the creation of new algorithms taking into account all of our goals and interests.
Knowing what we want, before we do.
AI systems have the ability to learn and adapt as they make decisions; Artificial intelligence algorithms are in fact designed to make decisions, often using real-time data. AI is already altering the world and raising important questions for society, the economy, and governance. It is not a futuristic vision, but rather something that is here today and being integrated with and deployed into a variety of sectors
Just take a moment to consider this.
When Facebook, Instagram, Twitter, LinkedIn, WhatsApp and Signal ALL extensively use AI. What will this sector look like in 2 years let alone 5 years time?
Not taking into account all those streaming sites!Utilising video indexing, all of your favourite streaming services are most probably using (ever more sophisticated) AI to make connections. Delivering you greater amounts of content, when you want it.
We haven't even touched on banking, e-commerce, travel, gaming, military tech or most importantly medicine and climate change solutions through AI. All these sectors are heavily dependent on fast retrieval of data and computationally intensive tasks, to maintain efficiency and increase output. They will only be made even more efficient through machine learning and AI.
Ultimately though, if you want to get in this field and have the best shot at thriving in it, what edge do you need now?
You need the right team behind you.
A team that always keeps up to date and up to the minute in AI and Machine learning.
Resourcing and Recruitment in this exciting arena is all we do!
So let us help you find the right employees for your business while reducing cost-to-hire and significantly improving retention rates. Click below to request a call back or ask for a free 30-minute Recruitment Strategy Consultation about the *X-Talent Method.
Freya supports the tech talent toolbox arm of Reflection X where she is coaching technologists to achieve their full potential. With over 10 years of experience within the Tech and AI recruitment space, she has been from working closely with thousands individuals and leaders during hiring processes while partnering with very early stage start-ups all the way to some of the top AI Labs in the world.