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Daan de Cloe, co-founder and CTO of AutoFill Technologies, provides his predictions for the deep tech space in 2022 and beyond

Deep tech capabilities powered by AI are set to make waves in the near future.

Whether a buzzword or not, its safe to say that deep tech is currently one of the hottest areas of interest for technologists and set to only gain traction in the coming years.

From artificial intelligence through to robotics, quantum computing, blockchain and biotech the list goes on the unique thing about deep tech is, albeit developed by commercial firms, it is not necessarily targeted at end-consumers. Based on research around engineering innovation with deep tech, scientists and technologists come together to collaborate towards a common goal, may that be finding the latest solution to a chronic disease, or the product idea that will positively impact societal challenges like climate change.

Due to its scientific, theoretical nature, a lot has been speculated on how deep tech can help us create tangible societal shifts and build a better future. But what does the future look like? More specifically, what sorts of technologies will make the most impact on the world? Ive got my bets on a few things.

When deep tech ties into a computers tangible components, and trained data sets are piping through a piece of hardware, the possibilities are endless. The increased combination of hardware and software, powered by edge computing, will bring the opportunities and applications of AI to a whole new level, resulting in enormous change of existing operational processes.

At the edge, processors that collect data are embedded within devices, and data is collected at its sources rather than in the cloud or a data centre. This massively accelerates the AI pipeline, unlocking a whole new variety of AI-powered functionalities.

I believe this will be a big focus for companies and industries in 2022, and its no surprise that leading computer systems companies, such as Nvidia, are investing heavily on their edge computing offerings.

Martin Percival, solutions architect at Red Hat, identifies three elements that are essential to the future of edge computing. Read here

Whilst the difficulties in developing practical versions of quantum computers have consequently confined them to the lab, its safe to say that the race to quantum supremacy will only grow tighter in 2022, led by the likes of Google and IBM. Its no longer a matter of if, but rather when quantum computers will become the new norm.

Simply put, quantum computers are able to solve complicated problems incredibly fast and effectively. In a few seconds, they can perform calculations that todays supercomputers would need decades or even millennia to work out. These sorts of problems range from a logistics company trying to determine the greenest route between 50 different cities and 300 addresses in real-time to reduce carbon emissions, to a pharmaceutical organisation experimenting with simulated molecules to predict drug interactions with a mutating virus.

By harnessing the strange world of quantum mechanics, quantum computer systems create multidimensional environments in which such large problems can be represented. Later, algorithms that apply quantum wave interference analyse all the different combinations and translate the optimal possibilities back into solutions we can understand and practically use.

This results in significantly higher processing efficiency and time-saving. For example, if you wanted to find one item in a list of 1 trillion, and each item took 1 microsecond to check, a classical computer would take about 1 week to find the item, whereas a quantum computer about 1 second.

That being said, theres no doubt that quantum computing will enable new, more advanced ways of machine learning. Thats because the ability to process very large quantities of data in micro periods of time improves the quality and accuracy of predictions and decisions made by artificial intelligence. It becomes intuitively smart and capable of identifying patterns. Better pattern recognition, in turn, allows for business leaders to keep a close eye on a chain of events and act proactively to avoid potential issues, instead of having to react to a situation that may have occurred.

So far, artificial intelligence has seen most of its applications in market sectors like professional & financial services, and high-tech telecoms. However, Ive observed a recent take on AI applications by the automotive, transport & mobility sector, and my guess is that the use of the technology in the industry will only increase in 2022.

Thats because as the population expands, governments must develop the infrastructure to support it. This includes better transport networks, of which AI has an enormous potential to increase safety and efficiency.

Take AI-powered automated inspections, for instance. AI enables continuous monitoring of even the remotest infrastructure, increases accuracy and objectivity, and triggers preventive maintenance. This ensures cost savings and improves safety, which can really make the difference between rolling out vital transport systems or not.

With traffic logistics optimised, the number of vehicle movements is consequently reduced, allowing for optimised traffic flow. Not only that, but a safe and reliable transport network further stimulates the use of public transport over car usage, supporting global ambitions to cut carbon emissions. Modernising, optimising, and enhancing quality control at scale will ensure that infrastructure remains resilient, inclusive, and sustainable.

Now, if theres one thing edge computing, quantum computing and automated technologies have in common, it is the use of AI as a key driver to innovation. There has been a significant leap in the way society harnesses artificial intelligence as an integral part of our lives. Im excited to see what the future holds next from the looks of it, its increasingly artificially intelligent.

See the rest here:
Deep tech in 2022: the future is looking artificially intelligent - Information Age

Honeywell International Inc. signage is displayed on a monitor on the floor of the New York Stock Exchange (NYSE) in New York.

Michael Nagle | Bloomberg | Getty Images

(This article was sent first to members of the CNBC Investing Club with Jim Cramer. To get the real-time updates in your inbox, subscribe here.)

After you receive this alert, we will be buying 50 shares ofHoneywell (HON)at roughly $200.54. Following the trade, the Charitable Trust will own 550 shares of Honeywell. This buy will increase HON's weight in the portfolio from about 2.42% to 2.65%.

Honeywell was a laggard in 2021 as some of its segments like Aerospace and Performance Materials and Technologies (oil & gas) had sluggish recoveries, weighing down the explosive growth in Safety and Productivity Solutions. But we think the time and price is right to get more optimistic about this industrial.

Honeywell's fundamentals should improve next year, and accelerating organic sales growth is on the table as the aerospace rebound picks up and the three other reporting segments contribute positive organic sales growth. And despite supply chain and logistic challenges, margins are expected to expand in all four segments next year.

From a valuation perspective, the stock is entering 2022 at a much less demanding spot than it did into 2021. At this time last year, one worry with owning Honeywell was that its valuation was expensive and too stretched, with shares trading at a 5% to 10%premiumto its group. The conversation today could not be any more different.

Due to HON's underperformance this year a rarity for an industrial of this quality, by the way Honeywell now trades at a 5% to 15%discountto the same group. These were numbers pointed out in a research note published earlier this month by JPMorgan analyst Steve Tusa, who has Honeywell on his Analyst Focus List. As the numbers show, what once was an expensive stock has become cheap. We like that set-up for next year.

Thinking ahead, Honeywell is expected to host an Investor Day meeting in March. In the same research note, Tusa called this meeting a catalyst. In volatile times, we like stocks with catalysts because, if successful, the event will quickly improve investor sentiment and help the stock break free from the action in the broader market. From what to expect at the event, Tusa wrote he thinks management will provide "a more readily digestible growth algorithm" and discuss how they plan to use their balance sheet for "offense." We are looking forward to learning more about the opportunities in software and quantum computing.

The bottom line here is that Honeywell may have had a rough time in 2021, but the setup for 2022 looks far more attractive. We see three reasons to add to our position today, even though it breaks basis: The fundamentals should be better in 2022, the valuation has shifted from expensive to cheap, and a potential catalyst event lies ahead in March.

The CNBC Investing Club is now the official home to my Charitable Trust. It's the place where you can see every move we make for the portfolio and get my market insight before anyone else. The Charitable Trust and my writings are no longer affiliated with Action Alerts Plus in any way.

As a subscriber to the CNBC Investing Club with Jim Cramer, you will receive a trade alert before Jim makes a trade. Jim waits 45 minutes after sending a trade alert before buying or selling a stock in his charitable trust's portfolio. If Jim has talked about a stock on CNBC TV, he waits 72 hours after issuing the trade alert before executing the trade. See here for the investing disclaimer.

(Jim Cramer's Charitable Trust is long HON.)

Read this article:
Cramer's Investing Club: We are buying more of this industrial holding because the shares are cheap - CNBC

Concerned Brits believe the nation needs to do more to enhance its preparedness for pandemics and combat climate change.

The impact of coronavirus restrictions is continuing to take its toll and across the UK, the publics awareness of improving provision and capacity for dealing with crises is being heightened.

Over four in five of us (83 per cent) reckon it is essential for the country to invest more in emerging technology and skills to improve our ability to address major issues like pandemics and climate change, with almost nine in ten (89 per cent) believing that the use of technology is vital for the future of the economy.

And with a huge volume of our investment being dedicated to young people, almost two-thirds (63 per cent) admit the current level of focus on STEM (Science, Technology, Engineering & Technology) in schools is not enough to futureproof the UK and could leave our society vulnerable in years to come.

These new findings come as IBM launches a new campaign to encourage the uptake of STEM subjects amongst young people. The company has released a series of videos for schoolchildren explaining Quantum computing, an emerging technology with the potential address big societal issues like sustainability and climate change.

Dr James Wootton, a Quantum researcher at IBM, said: Quantum computing is a really good example of an emerging technology that requires STEM education and skills. It promises game-changing applications across almost every sector, such as better batteries for electric cars, quicker discovery of new medicines, or the discovery of new materials for things like solar panels or carbon capture.

But to take advantage of this opportunity, the UK needs to ensure that young people are developing skills in the right areas.

Brits are determined for this trend to change, however, with almost all of us (94 per cent) claiming there are numerous benefits to children having a good STEM education.

Whether its helping young people understand the world around us (71 per cent), promoting problem solving skills (69 per cent), improving career prospects (66 per cent) or supporting innovation and future economic growth (57 per cent), the nation is key to ensuring young people are provided with the appropriate skills to help protect the UK in the future.

IBM has extensive and successful programmes including P-TECH and SkillsBuild to address these skills gaps, and in October the company made a commitment to upskill 30 million people globally by 2030.

The new video series, entitled What How Why, invited students from schools and colleges in London Leeds and Dublin to directly ask IBM Research experts to explain Quantum computing. Introduced by teacher and mathematician Bobby Seagull, these conversations covered what Quantum computing is, why it is important for the skills they will need in future and how it will make a difference to the world they are growing up in.

And Dr Wootton added: The videos helped us explore Quantum computing in terms everyone can understand, the applications and skills needed for a future, and the impact it can make on some of the big challenges we face.

Even though we created these videos for young people, they are a great primer for anyone that wants to demystify quantum computing and understand its potential to change the world.

To watch the new series of videos, visit the IBM UK & Ireland Think blog: https://www.ibm.com/blogs/think/uk-en/what-how-why-quantum-explained/

For more stories from where you live, visit InYourArea.

Visit link:
UK needs more investment in tech and skills, say Brits - Wales Online

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What do the Apache Log4j Vulnerability, Security Community Outreach Efforts, Cognitive Infrastructure, Resilience, Anti-Fragility, John Boyd and Dune...

The race for quantum supremacy isn't just between tech companies, but between nation-states as well.

Why it matters: The first country to produce effective, working quantum computers will have a key advantage in economics, defense and cybersecurity and the U.S., China, and Europe are all competing.

What's happening: Last month, the Commerce Department added a dozen Chinese companies to a trade blacklist in an effort to prevent emerging U.S. technologies from being used for quantum computing efforts that would boost Beijing's military.

The big picture: One of the clearest uses of quantum computing is to eventually break the complex mathematical problems used to encrypt information of all kinds on the internet, including sensitive government data.

Between the lines: While U.S. companies generally have the lead on building better quantum computers, China has invested massively in the industry, including an $11 billion national laboratory for quantum information sciences.

What to watch: Progress on American efforts to develop post-quantum cryptography standards that would resist more powerful quantum computers, as well as research from the five new quantum institutes created by the White House last year.

The bottom line: "The economy for the next hundred years will be driven by quantum," says Chapman. "So it's not a game we want to lose."

More:
Running the international quantum race - Axios