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A two-minute read alerting you to the latest trends from around the world advancing technology and innovation and building the workforce of the future, curated by the NMTC's Technology Education Committee. (TEC)

 Technologies we are tracking are suggest ed by NMTC members to This email address is being protected from spambots. You need JavaScript enabled to view it.:

3D and 4D Printing
Artificial Intelligence
Autonomous Vehicles
Battery Technology
Cloud Technology

Cybersecurity
Hyperautomation
Machine Learning
New Materials
 Predictive Analytics 

Robotics
Synthetic Chemistry
TeleHealth
Voice Search Technology
Workforce Impact, New Tech

WHAT IS IT?

The latest report of the industry and main market trends with historical and forecast market data, demand, application details, price trends, and company shares of the leading 3D Facial Recognition Systems by geography. This report also studies the 3D Facial Recognition Systems market status, competition landscape, market share, growth rate, future trends, market drivers, opportunities and challenges, sales channels, and distributors. The report splits the market size, by volume and value, based on application, type, and geography.

 

WHY IMPORTANT

In-depth competitive landscape and detailed company profiles helps you benchmark technological advancement, business strategies, market development activities, and the latest innovation in products/services offering. Also, market research gaps and opportunities revealed and recommended in such a way to reduce the risk to make the company’s marketing strategy cost-effective for business.

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WHAT IS IT?

This report segments the global Artificial Intelligence in Machine Learning market comprehensively and provides the closest approximations of the revenues for the overall market and the sub-segments across different verticals and regions.

 

– Google

– Baidu

– IBM

– Microsoft

– SAP

– Intel

– Salesforce

– Brighterion

– KITT.AI

– Albert Technologies

– H2O.ai

– Brainasoft

– Yseop

– Ipsoft

– NanoRep(LogMeIn)

– Ada Support

– Astute Solutions

– IDEAL.com

 

Artificial Intelligence in Machine Learning Market Segment by Application:

 

– BFSI

– Retail

– Telecommunication

– Manufacturing

– Defense

– Automotive

 

 

WHY IMPORTANT

The study report offers a comprehensive analysis of Artificial Intelligence in Machine Learning Market size across the globe as regional and country level market size analysis, CAGR estimation of market growth during the forecast period, revenue, key drivers, competitive background and sales analysis of the payers. Along with that, the report explains the major challenges and risks to face in the forecast period. Artificial Intelligence in Machine Learning Market is segmented by Type, and by Application. Players, stakeholders, and other participants in the global Artificial Intelligence in Machine Learning Market will be able to gain the upper hand as they use the report as a powerful resource.READ MORE

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WHAT IS IT?

Machine learning has become a buzzword in the industrial sector. It starts from boosting the optimization of business processes to powering a wide array of personal devices on edge, ML technology has come a long way from transforming industrial operations to becoming part of our daily lives. ML’s recent applications have gained it a large fan following.

WHY IMPORTANT

Following these machine learning influencers can help other tech fanatics to stay ahead in the industry and deepen their knowledge. Here is a list of the top machine learning influencers that tech fanatics can follow in 2022.

 

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WHAT IS IT?

A synopsis of the thinking of more than 40 cybersecurity-related companies to help provide a picture of what to expect, and it’s often not pretty. So brace yourself – it could be a rocky year.

WHY IMPORTANT

The success rate of cyberattacks on businesses will decrease, Increasing the frequency of attacks that use a ransomware-as-a-service (RaaS), successful large-scale attacks delivered through open-source software, mobile malware attacks will increase, social media platforms will become the fastest-growing attack surface, the cybersecurity skills gap will only widen, API attacks will get more advanced, AND hackers will have speedier access to newer technologies and organizations won’t be able to keep up with them

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 WHAT IS IT?

This innovative material can resist supersonic impacts and could be used to develop armor and other impact-resistant materials.

WHY IMPORTANT

The tremendous temperatures of nuclear fusion reactors or the conquest of outer space are fields in which the development of new materials has become a critical requirement. The main property of this new material is its high strength combined with unprecedented lightness. Specifically, the researchers indicate it will be much stronger than Kevlar or steel used in protective clothing or the coating of objects and structures.

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WHAT IS IT

Natural Fiber Welding uses an innovative process to treat cotton and make it behave more like synthetic fibers by partially breaking down the cotton organic material and leaving it stronger and denser. The result is cotton yarn that behaves more like synthetic fibers.

WHY IMPORTANT

Plastics are problematic for humans and the environment. Natural Fiber Welding, offers an alternative to synthetic fabrics. These  products are high quality and sustainable, and the technology is scalable, which is important to automakers.

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WHAT IS IT?

The 21st-century AI developments are extremely dynamic, as advancements are made in many fields ranging from human speech synthesis and photo and video analytics to building advanced neural networks for semantic parsing and question answering.

WHY IMPORTANT

AI-powered operating processes are the inevitable future of humankind, which will allow individuals to automate routine tasks and companies to increase operating efficiency and thus boost revenues and cut costs. Electronic intelligence will be a part of business processes, and large companies are accelerating the emergence of this trend. For example, Autodesk and General Motors are applying generative planning algorithms to develop details of better parts designs, and Bridgestone is introducing the EXAMATION system into manufacturing, to allow monitoring of the quality of tires produced based on almost 500 technical specifications.

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WHAT IS IT?

Artificial Intelligence Will Shape Our Future

Adding AI automation, we get super-high productivity from a fraction of employees for a fraction of the cost. The implications of this can be huge for the world economy. Will the rich get richer, leaving the ones without capital even more powerless? Or maybe it will level the playing field, and nobody will have to work for a living?

WHY IMPORTANT
We will witness the creation of industries that are unimaginable now. In the long term, AI will perform more of the tasks that humans do right now, but for AI to replace the majority of the current jobs, it will take 80 to 100 years, maybe even more. Eventually, most traditional jobs are at risk, but since we’ve been creating whole new industries and an increasing number of positions, we might not care at all. Total human replacement is unlikely in the foreseeable future.

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Northeastern Maryland Technology Council
2021 Pulaski Hwy, Suite D, Havre de Grace, MD 21078
410-638-4466

John W. Casner, Executive Director
john.casner@nmtc.org

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