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According to Tech Nation, the top three areas of AI innovation in 2021

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Harry Rhys Davies, AI Program Leader at TechNation, offers three areas where AI innovation is expected to make significant strides in 2021.

AI is good for bringing more confusion next year.

Predicting the future is a difficult task in any year. However, the last few months have seen a period of turbulence in uncertainty that poses special challenges in estimating the outlook for the 2021 AI sector. But there is certainly a tendency we can estimate. I try to do so from my point of view of working with AI scale-up. And in the blockade and elections, 2020 was another exciting year for AI, ending with DeepMind’s incredible breakthrough with the launch of AlphaFold. Aside from long-term hype, we see a real acceleration of entrepreneurs using AI to solve the real problems that are affecting today. Some of them provide the following forecasts:

Venture capital investment in AI startups has grown exponentially over the years. Investment increased six-fold between 2014 and 2018, according to Tech Nation data. As the recent State of AI 2020 report shows, investment in AI remains strong in 2020, despite Covid-19, which is expected to continue until 2021. This sector is also showing signs of maturity. Companies that have raised more than $ 100 million have earned 10. Darktrace, the overall percentage of funding since 2018, is rumored to be investigating IPOs, and success stories are becoming more prevalent in AI such as Tessian, Tractable, and SignalAI.

Fallout from Covid-19 has the potential to accelerate AI adoption. For example, in the new era of remotework, manual processes need to be digitized overnight, and healthcare has seen an unprecedented infusion of innovation through AI. Many companies are also onshore and automating their supply chains in response to the impact of pandemics on the global supply chain. AI is at the heart of many companies’ plans to optimize processes and reduce costs.

For 2021, here are three top areas I believe machine learning will actually advance. There are opinions from entrepreneurs who are innovating in each field.

construction

Our applied AI program was characterized by more companies working on construction this year than most other sectors. 2021 will be the year to monitor the implementation of AI in this sector, with investments in infrastructure that are central to government strategies to continue the project through the Covid-19 fallout and build better. Among companies such as Sensat, nPlan, Continuum Industries, Nodes & Links, there are a number of up-and-coming AI companies set up to establish their position next year.

Digital Transformation in the Construction Industry: Is the AI ​​Revolution Underway?

Digital technology has transformed everything from hospitality and banking to healthcare and e-commerce, but the UK construction industry has taken time to embrace this change. But is the AI ​​revolution underway?Read here

Sakthy Selvakumaranm, a certified civil engineer and founder of BK Wai, predicts: The construction and construction environment sector needs to innovate rapidly to change the way infrastructure is built, operated and maintained, and AI will be the key to unleashing these changes.

“By 2021, AI will actually be visible in the construction of many applications. The sector may not yet openly acknowledge or understand it, but safety, quality and wealth. You will see improved results in management.

“Stakeholders throughout the project lifecycle, such as designers, construction companies, operators, owners, and service providers, can no longer afford to think of AI as relevant only to the tech sector.

“Image recognition can evaluate video streams collected in the workplace to identify potential hazards and dangerous behaviors. Learn from hundreds of projects and understand potential implementation delays and scheduling limitations. Helps you to.

AI in climate variability

This will be the theme throughout 2021. This is because the commitment to Net Zero is at the core of many government strategies, as we see the emergence of entrepreneurs who use AI to move us towards a more sustainable future. For example, the UK government is pushing for net zero by 2050. ..

As AI’s intelligence capabilities grow, AI will continue to gain investment and support around the world as a viable solution to reduce emissions and conserve natural resources, said Recycleye CEO Victor Dewulf. Stated.

AI may have the power to eliminate waste as the UK fails to meet its 50% recycling target by the end of 2020. As global consumption continues to grow, waste levels rise faster than waste can be processed, leaving many recyclable materials in landfills.

“The application of AI not only speeds up waste disposal and increases the amount of recycled materials, but it can also start recycling various materials as a cheap alternative to human labor. I can do it.

Sustainable Transformation: Why Climate Change and the Digital Agenda are More Closely Linked

Climate change is likely to be the biggest driver of organizational change in the coming decades, but Source Global Research’s Fergus Navaratnam-Blair says that for most companies, this change is a natural extension of the digital transformation story. Claims to feel like.Read here

Mark Hodgson, Chief Business Officer at Cervest, adds: In 2021, pioneering technology will begin to solve the underlying problem.

“The scale, inclusiveness, resolution and complexity of AI-driven climate signals are enabling us to provide unprecedented ability to understand the future risks and values ​​of built assets.

“In 2021, the fusion of AI, earth sciences and megascale computing will be the first to tackle this problem. More companies, governments and communities will continue to understand climate risks. You’ll improve, get access when you need it, and take action on the assets you’re interested in.

Healthcare & Life Sciences

Not only for this year’s event, but also for bold new initiatives like the NHSx AI Lab launched in 2019, this category is not surprising.

Panakeia CEO Pahini Pandya said: In 2020, Covid-19 triggered a chain reaction, bringing unparalleled speed of digital transformation. This is especially true in telemedicine, where telemedicine solutions are rapidly being adopted for telemedicine and patient monitoring. Procured and established very quickly.

“But the digital transformation in healthcare is not over yet. Covid-19 has also caused confusion in the diagnosis and management of other health conditions, especially chronic health conditions. This prominent example is Cancer screening programs have been suspended in some countries.

“To address these issues, healthcare systems such as the NHS have already shown excellent initiatives for AI adoption and are providing clear entry routes and support. Next year will definitely be cancer screening, It will increase the traction of companies that provide AI innovation that addresses various aspects of the care pathway, such as improved case triage, faster diagnosis, and notification of treatment.

AI use cases in healthcare since Covid-19

Let’s take a look at some of the most notable use cases of artificial intelligence (AI) in today’s healthcare sector.Read here

Miriam Cha, co-founder of Rahko, who employs quantum machine learning in life sciences, adds: AI is changing the game in its ability to discover new drugs, and will continue to do so in 2021.

“In the last few decades, drug discovery has slowed down, become more expensive, and suffers from two major bottlenecks: slow speed and low precision. Pharmaceutical companies continue to adopt AI and never before. Discover more with speed and at a fraction of the cost.

“For example, AI provides orders of magnitude faster with virtual high-throughput screening, allowing us to screen very large molecular pools to find better candidates for new drugs. Generational modeling, drug safety, etc. You can create molecules with specifications that have the properties required for.

“Quantum computing will continue to advance in 2021 and will have important implications for drug discovery. Quantum computers are currently in their early stages, but on a large scale, they can model complex systems with unprecedented accuracy. This will give you a better understanding of how the drug behaves and interacts with the body.

Especially in these three areas, we hope that 2021 will be a year in which conversations will move from long-term esoteric hype to understanding what machine learning can provide in vertical applications that affect the real world. .. We will need it in 2021. The challenge of rebuilding the economy since Covid-19 is monumental and AI must play a role. As the saying goes, when, if not now?

Created by TechNation’s AI program leader Harry Rhys Davies

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