The Fourth Industrial Revolution is clearly upon us - a new era of innovation in technology - and we are excited to keep you updated with what's new! In this monthly feature we bring you up to date on the latest resources, news and insights in the AI community. Happy Reading!
October seems to be a very interesting month for Tech Professionals - their skills are in hot demand with a global spending on cognitive and AI systems reaching over $57 billion in 2021!
Keeping up to date with latest trends while staying competitive on the market, can be very challenging.
From YouTube to Twitter and everything above and beyond, professionals, influencers and academics are all talking about big data and how to harness it using Artificial Intelligence and Machine Learning.
The amount of resources can sometimes be overwhelming, that’s why we have put together a list of platforms so you would know exactly where to look and be plugged in and as usual, our monthly wrap-up of podcast, industry news and resources:
Are you a fan of informative podcasts in the tech space?
We certainly are! After our Top 5 podcasts in Artificial Intelligence and Top 5 podcasts for Busy Technologists, this month we will look at how AI and tech podcasts made by and for women are coming into the ascendancy:
1. Women in AI
‘Women in AI is a biweekly podcast from RE•WORK, meeting with leading female minds in AI, Deep Learning and Machine Learning. We will speak to CEOs, CTOs, Data Scientists, Engineers, Researchers and Industry Professionals to learn about their cutting edge work and technological advancements, as well as their impact on AI for social good and diversity in the workplace.’
‘From fashion to finance, technology is revolutionising every area of our lives. Meet the extraordinary women who are leading the charge. Hosted by Dr. Anne-Marie Imafidon MBE, CEO of www.stemettes.org, Women Tech Charge is a series of candid, inspiring and often funny conversations with inventors, entrepreneurs and even real-life spies. These are stories of eureka moments, successes and failures, passions and ideas, which will inspire you to take charge – woman or otherwise.’
‘With over 100 episodes available, ‘The Women in Tech Show’ has a vast coverage of topics for women in IT throughout each interview with a diverse pool of women currently in technology. Examples of discussion areas are AI, software design, engineering, developing, design and general career advice. Host Edaena Salinas is a Software Engineer who recognizes the need to promote awareness of the many women currently shaping the future of technology.’
‘Crypto assets and blockchain technology are about to transform every trust-based interaction of our lives, from financial services to identity to the Internet of Things. In this podcast, host Laura Shin, an independent journalist covering all things crypto, talks with industry pioneers about how crypto assets and blockchains will change the way we earn, spend and invest our money. Tune in to find out how Web 3.0, the decentralized web, will revolutionize our world. Disclosure: I'm a nocoiner.’
‘The Women in Tech with Ariana podcast is a global podcast in 10 countries that features women in tech and entrepreneurship, talks about the latest news in tech, and shares tangible resources to help women navigate the tech industry. From funding opportunities for your start-up, access to free coding courses, monthly sponsor giveaways, job opportunities and so much more.’
AI, as we well know, has the potential to revolutionize many fields of science and technology. Scientist and author Kai-Fu Lee, said it can already surpass humans in ‘speech recognition, face recognition, the games of chess and Go’.
So, what's next?
Here are some innovations that can be possibly be utilised, in some form, in all the main sectors of our economies very soon indeed!
1. AI Optimized Hardware
AI-Optimised hardware’ is hardware tuned for use with artificial intelligence (AI) applications. An AI optimised CPU, for example, may be a CPU customised for a small or wide variety of AI-related activities.
Those activities often include Natural language processing (N.L.P), Speech Recognition, or Image Processing.
The AI optimised processors could be FPGAs (Field Programmable Gate Arrays), GPU’s (Graphical Processor Units) or ASIC’s (application-specific integrated circuits).
To quote Paul Alcorn from a recent article in tomshardware.com: ‘As the fastest AI processor known to humankind, the Cerebras CS-2 is undoubtedly one of the most unique semiconductor devices on the planet’
2. Quantum Computing for AI
A quantum computer can do computations that would take a normal computer thousands of times longer to complete.
Quantum computers are made up of multiple qubits (quantum bits) that may exist in two states (super-positions) simultaneously. They can calculate for uncertainty by analysing all possibilities of a query...at the same time.
To quote writer Tristan Greene in a recent article in thenextweb.com: ‘Quantum computers can do what billionaires, big tech, and the governments of the world refuse to: solve the hunger problem.’ ...and when applied to AI ‘By creating new quantum algorithms, it may be possible to substantially reduce the computing time needed to use machine learning to solve complex problems, such as formulating safe nanomaterials, enhancing climate forecasts, and discovering novel drug compounds’ Writes Eline Chivot and Hodan Omaar in a recent contribution in datainnovation.org.
As if AI alone isn’t already exciting enough!
3. Conversational AI
It's still ascending!
Conversational AI is software that may be configured to react in a natural manner to a user's queries and/or requests by taking advantage of Natural Language Processing and Machine Learning. Google and Siri are some of the most popular.
Ever-increasing in power. For the forbes.com, writer Muddu Sudhakar states that: ‘We are seeing a continuum of progress that will soon make it nearly impossible to tell the difference between human and artificial intelligence in service desk and customer service functions.’
4. Edge Computing
One of the best examples of 'Edge computing' is the Smart watch.
Many of us have them and we know just how convenient they are for monitoring our fitness and health especially.
There are many more examples however, from Smart TV’s to cars.
But the more people adopt these ‘internet-of-things’ devices the more data they will produce and the more data they produce the greater the need for an infrastructure that can handle that data as close as possible to its origin.
This is a substantially increasing sector in the tech world.
To quote an informative tech-sheet on this issue you can find at entsoe.eu: ‘By shortening the distance between devices and the resources that serve them, and also reducing network hops, it (Edge Computing Tech) mitigates the latency and bandwidth constraints of today’s Internet, ushering in new classes of applications.’
5. Predictive Analysis
The process of identifying patterns in data that can be used to make predictions about the future.
It can incorporate machine learning.It is used in various fields from healthcare to finance, marketing, insurance and more.
To quote writer Gayle Kurtzer-Meyers from a recent article in medium.com: ‘To handle global warming, countries need an effective action plan. For this, they’re heavily relying on real-time data analytics. Predictive analytics offers considerable promise in predicting global warming trends’ In such an exciting, ever-evolving industry that’s technically unrivalled, you have to know who the players are.
She is the CEO of AI in Business and regarded worldwide, as a prominent AI expert.
Katie King has advised many big businesses such as Richard Branson/Virgin, PA Consulting and Huawei. Katie is also a member of the All-Party Parliamentary Group on Artificial Intelligence (APPG AI) and a managing director and founder of Zoodikers Consulting Ltd. In 2019 her book on Tech: ‘Using Artificial Intelligence in Marketing: How to Harness AI and Maintain the Competitive’ was published.
2. Maria Luciana Axente
Maria Luciana Axente is the ‘Responsible AI & AI for Good Lead’ at PwC UK and an AI expert.
In her role at PwC, Maria partners with industry, academia, governments, NGOs and civil society for responsible and ethical AI. She achieves this on three levels; organisation, product/team and individual. Maria is also a member of the advisory board of the All-Party Parliamentary Group on Artificial Intelligence (APPG AI). She has worked with, amongst many others, the World Economic Forum, UNICEF AI for Children, Orbit, and Tech U.K. as a consultant.
3. Tony Boobier
Tony Boobier is an AI and analytics expert, consultant and author.
He is included in the Top 20 Global Thought Leaders on AI and is professionally qualified in supply chain management and marketing, engineering and insurance. Tony’s authored works include, ‘Advanced Analytics and AI: Impact, Implementation and the Future of Work', 'Analytics for Insurance' and 'AI and the Future of Banking'. His previous employment includes a position as executive level Insurance and Financial Services Specialist at IBM focusing on Customer Analytics.
4. Fredrik Hofflander
Fredrik Hofflander is Head of AI and Future Technologies at AF AB in Stockholm.
As a leader in business, Frederik has a passion for self-managed, cross-functional and high performance teams. His focus in his role, as Head of AI, is to aid companies in getting to the next level of their work and to be a hub for AI knowledge and expertise. Frederik has previously worked as an I.T consultant at Wipcore AB. He has also worked as a software engineer and developer.
5. Andy Fitze
Andy Fitze is a business strategies transformation advisor for startups, AI influencer and world renowned AI keynote speaker.
He wants to see Switzerland become the frontrunner in cognitive intelligence with ‘CognitiveValley - The AI Movement’; an initiative he co-founded with entrepreneur Dalith Steiger. Also with Steiger, Andy formed another initiative; ‘SwissCognitive – The Global AI Hub’ in 2019. Their goal is to create a ‘network of industries, organizations, enterprises and start-ups to openly & transparently discuss the opportunities, impacts & development of Artificial Intelligence (AI)’.
Andy Fitze is also on the board of directors for ICTSwitzerland and SwissICT and President of the SwissIT Leadership forum.
1. Using AI to speed up Medical diagnosis
From Sciencedaily.com; ‘Scientists have now succeeded in developing a biocompatible implantable AI platform that classifies in real time healthy and pathological patterns in biological signals such as heartbeats. It detects pathological changes even without medical supervision.’
This incredible tech, the article states, ‘was able to differentiate between healthy heartbeats from three common arrhythmias with an 88% accuracy rate. In the process, the polymer network consumed less energy than a pacemaker’.
This fibrous polymer network (claimed in the article as ‘analogous to the human brain’), when implanted in the patient, can pick up on changes in the biology so slight that a trained physician (with conventional means) could probably miss. Naturally this is being developed with smartphone app connectivity in mind for any appropriate physician whose patient is of particular concern.
2. Boston Robotics’ AI dog helps engineers save time
According to a recent article in theguardian.com by writer Tory Shepherd, an AI dog, made by the famous AI and robotics innovators: Boston Robotics (website), is now being used by an Australian utility firm; ‘SAPower Networks’ to search out (and report back) compromised infrastructure.
Its substantial value is reportedly saving time, energy and increasing safety for workers by identifying poor terrain that might otherwise have to be navigated manually. It's even being rewarded for good behaviour!
3. Personalising cancer treatment with AI
The role of genetics in cancer is being investigated by AI.
Pharmaceutical firm GlaxoSmithKline (GSK) and King’s College London are reportedly partnering up in a five year deal to ‘develop personalised treatments for cancer by investigating the role played by genetics in the disease’ writes Julia Kollewe for theguardian.com
Further the team at the heart of the project will, according to the article ‘monitor for dynamic biomarkers – molecules found in blood, other body fluids or tissues that are a sign of disease – that can predict resistance during treatment or a later relapse’. In this fascinating article Kollewe also states that ‘to identify those at high risk, the research team will create a “digital biological twin” of the patient, to test multiple drugs, and multiple doses, at multiple time points.’
This twin will be able to provide advanced feedback to the research team regarding the very best drugs to give, how much and when to provoke the highest chance of recovery for the individual its mirroring. Head of AI at GSK Dr Kim Branson, the article reports, may even use the significant Cambridge-1 computer, from NVIDIA for this awesome project.
4. A Vision of 2041 in AI
Who doesn’t appreciate an intelligent and qualified opinion from a visionary, especially in THIS arena?
Well, following on from his previous work: AI Superpowers (published in 2018), Kai-Fu Lee, has just written another book! Entitled ‘AI 2041: 10 visions for our future’, this new work ‘is an unusual collaboration between Lee and Chen “Stan” Qiufan, an award-winning Shanghai-based science-fiction writer who once worked for Lee at Google’ writes Jeremy Kahn and Jonathan Vanian for fortune.com
The former Google operations head for China and investor in tech, predicts (to quote the publisher Penguin Random House) AI ‘will generate unprecedented wealth, revolutionize medicine and education through human-machine symbiosis, and create brand-new forms of communication and entertainment’. He also tells us that ‘ultimately, humankind remains the author of its destiny.’
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.