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As world leaders meet in Davos this week for the World Economic Forum, President Alice Gast writes on using AI in the race to meet the SDGs.

President Gast writes: "It is imperative that we put good processes and practices in place to ensure AI is developed in a positive and ethical way to see it adopted and used to its fullest by citizens and governments.

"We must now work together to ensure that artificial intelligence can accelerate progress of the Sustainable Development Goals and help us get back on track to reaching them by 2030."

President Gast highlighted some of the projects at Imperial that are harnessing the potential of AI to reach the SDGs.

Researchers from Google Health, DeepMind, the NHS, Northwestern University and colleagues at Imperial have designed andtrained an AI modelto spot breast cancer from X-ray images.

The computer algorithm, which was trained using mammography images from almost 29,000 women, was shown to be as effective as human radiologists in spotting cancer. At a time whenhealth services around the world are stretchedas they deal with long backlogs of patients following the pandemic, this sort of technology can help ease bottlenecks and improve treatment.

For malaria, a handheld lab-on-a-chip molecular diagnostics systems developed with AI could revolutionize how the disease is detected in remote parts of Africa. The project, which is led by the Digital Diagnostics for Africa Network, brings together collaborators such as MinoHealth AI Labs in Ghana and Imperials Global Development Hub. This technology could help pave the way for universal health coverage and push us towards achieving SDG3.

With an expanding global population,we face challenges around food demand and production not only how to reduce malnourishment but the impact on the planet too, such as deforestation, emissions and biodiversity loss. To meet these needs, the use of artificial intelligence in agriculture is growing rapidly and is enabling farmers to enhance crop production, direct machinery to carry out tasks autonomously, and identify pest infestations before they occur.

Smart sensing technology is also helping farmers use fertilizer more effectively and reduce environmental damage.An exciting research project, funded by the EPSRC, Innovate UK and Cytiva, will help growers optimize timing and amount of fertilizer to use on their crops, taking into account factors like the weather and soil condition. This will reduce the expense and damaging effects of over-fertilizing soil.

Imperial College Business Schoolwill be in Davos alongside the World Economic Forum from 22 - 26 May 2022. They will be holding a series of events on the theme ofTransforming Organisations, Transforming Markets an opportunity to explore some of the most pressing challenges and exciting opportunities facing business today.

One of the salons will focus on 'Delivering AI ethics' and another will focus on 'Decoding digital assets'.

Imperial academics will also be taking part in fringe panels on 'Integrating SDGs in the transition to Web3 technologies' and 'Rethinking Capitalism in the 4th industrial revolution'.

Excerpt from:
Davos 2022: Artificial intelligence is vital in the race to meet the SDGs - Imperial College London

PatentNext Summary:ArtificialIntelligence (AI) Patent Application filings continue theirexplosive growth trend at the U.S. Patent Office (USPTO). At theend of 2020, the USPTO published a report finding an exponentialincrease in the number of patent application filings from 2002 to2018. This trend has continued. In addition, current data showsthat AI-related application filings pertaining to graphics andimaging are taking the lead over AI modeling and simulationapplications.

In the last quarter of 2020, the United States Patent andTrademark Office (USPTO) reported that patent filings forArtificial Intelligence (AI) related inventions more than doubledfrom 2002 to 2018.SeeOffice of the Chief Economist, Inventing AI:Tracking The Diffusion Of Artificial Intelligence With Patents, IPDATA HIGHLIGHTS No. 5 (Oct. 2020).

Since the publication of the USPTO's report almost two yearsago, AI patent application filings have continued their explosivegrowth trend.

The below chart shows filings by Technology ("Tech")Center over time from 2000 to 2022.

Note that the right-most side of the graph slopes down becauseof the 18-month "Publication Delay," during whichinformation for newer patent application filings is not yetpublicly available. See37 CFR 1.211.

The above chart organizes patent application filings byTech Center. As shown, most AI-related patentapplications fall into one of two Tech Centers. First,Tech Center 2100(purple color in theabove graph) includes examiners that handle "ComputerArchitecture and Software" inventions. It is not surprisingthat many AI-related patent applications end up here because TechCenter 2100 includes the specific AI-relatedArt Unit 2120, which handles technology involving "AI& Simulation/Modeling."

Second,Tech Center 2600(red color in the abovegraph) handles "Communications" technology. Tech Center2600 includes several art units devoted to graphic and visualprocessing, such as Art Unit 2615 ("Computer GraphicProcessing") and Art Unit 2660 ("Digital Cameras; ImageAnalysis; Applications; pattern Recognition; Color and Compression;Enhancement and Transformation"). Such Art Units handleAI-related patent applications that involve image processing. Thiscan include the use of a Convolutional Neural Network("CNN") to detect, classify, and/or predict objects intwo-dimensional (2D) and three-dimensional (3D) space.

Together these two Tech Centers receive a majority of theAI-related patent application filings.

For example, during the year 2018, Tech Center 2100 saw1,733 filings, and Tech Center 2600 saw 1,416 filings.

Later, in the year 2020, these two centers still saw the mostfilings but were reversed in respective rankings as to the numberof filings, where Tech Center 2100 saw 2,152 filings, and TechCenter 2600 saw 2,542 filings.

This suggests that graphical or image-related AI patentapplication filings have overtaken non-graphical or non-imageAI-related filings by the year 2020.

As good news for AI inventors, these two Tech Centers experiencehigh percentages of allowance. The below chart shows the patentapplication allowance rate by Tech Center.

As shown above, AI-related patent applications handled by TechCenter 2100 (purple bar in the above graph) has a relatively highallowance rate (84%). AI-related patent applications handled byTech Center 2600 (red bar in the above graph) has an even higherallowance rate (91%).

This finding can be contrasted toTech Center 3600(yellow bar in the abovegraph), which handles patent applications for a mix ofbusiness-related technologies, i.e.: "Transportation,Construction, Electronic Commerce, Agriculture, National Securityand License and Review."

Certain art units of Tech Center 3600, such as Art Unit 3620("Business Methods"), are infamous for issuingpatent-eligibility rejections pursuant to 35 USC 101. Suchrejections can be difficult to overcome and explains the much lowerallowance rate of 67% for Tech Center 3600.

Accordingly, staying out of Tech Center 3600 remains a viablestrategy for patentees.

To the extent the reader is interested in accomplishing this,please see PatentNext's articles on best practices forpatenting AI inventions. SeeHow to Patent an Artificial Intelligence (AI)Invention: Guidance from the U.S. Patent Office(USPTO)andHow to Patent Software Inventions: Show an"Improvement."

The content of this article is intended to provide a generalguide to the subject matter. Specialist advice should be soughtabout your specific circumstances.

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Artificial Intelligence (AI) Patent Filings Continue Explosive Growth Trend At The USPTO - Patent - United States - Mondaq

Research and innovation in artificial intelligence (AI) in the power industry operations and technologies sector has declined in the last quarter but remains higher than it was a year ago.

The most recent figures show that the number of AI-related patent applications in the industry stood at 160 in the three months ending March up from 159 over the same period in 2021.

Figures for patent grants related to AI followed a similar pattern to filings growing from 29 in the three months ending March 2021 to 31 in the same period in 2022.

The figures are compiled by GlobalData, which tracks patent filings and grants from official offices around the world. Using textual analysis, as well as official patent classifications, these patents are grouped into key thematic areas, and linked to key companies across various industries.

AI is one of the key areas tracked by GlobalData. It has been identified as being a key disruptive force facing companies in the coming years, and is one of the areas that companies investing resources in now are expected to reap rewards from.The figures also provide an insight into the largest innovators in the sector.

Siemens was the top AI innovator in the power industry operations and technologies sector in the latest quarter. The company, which has its headquarters in Germany, filed 112 AI-related patents in the three months ending March. That was down from 117 over the same period in 2021.

It was followed by the Switzerland-based ABB with 17 AI patent applications, the US-based Honeywell (13 applications), and the US-based 3M (12 applications).

Honeywell International Inc has recently ramped up R&D in AI. It saw growth of 76.9% in related patent applications in the three months ending March compared to the same period in 2021 - the highest percentage growth out of all companies tracked with more than 10 quarterly patents in the power industry operations and technologies sector.

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Artificial intelligence innovation among power industry companies dropped off in the last quarter - Power Technology

SAN JOSE, Calif. (KRON) Security cameras are everywhere, but artificial intelligence is changing the way they are being used. KRON4 tested one such system at a grocery store in San Jose to see how A.I. is preventing shoplifting.

Picture this scenario, someone walks into Lunardis Market on Meridian Street.

They decide to take home a nice bottle of Merlot only they also decide not to pay. But before they can walk out the door, the store manager steps in and stops them.

The would-be thief is stopped in their tracks, thanks to state-of-the-art technology. Store director Rick Sanchez says theyve been using A.I. to prevent shoplifters for six months.

Sanchez says there hasnt been a time the A.I. incorrectly spotted a would-be thief.

The A.I. is able to detect thieves based on body gestures.

After those gestures are detected, it alerts a manager in real-time on their phone.

Sanchez says gets 10 to 12 alerts in real-time everyday.

It tells us basically on the camera, what aisle they are on, Sanchez said. We dont have to run anywhere we just go right to the aisle they are at.

Sanchez says certain merchandise is always coming up missing, including meat items, deli cheese items, stealing a lot of medicines, liquor, beer, and wine.

Now because of A.I., Lunardis has been able stop some their expensive cheese and wine from flying off the shelves.

Because of the loss the retailer is incurring, its driving prices up for everyone else, said Veesion, a surveillance company based in France, Country Manager Hiren Mowji. Were hoping that by controlling lost from shoplifting in retail stores around the world, we can protect pricing for other consumers.

Mowji said the technology does not detect, race, gender, or the size of the person. The technology is being used in over 1,000 hardware, liquor, and groceries stores globally and planning to expand.

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Artificial intelligence used to stop shoplifting - KRON4

Baghdad (IraqiNews.com) Iraqi Prime Minister, Mustafa al-Kadhimi, during his meeting with Professor of artificial intelligence and the president of eSystems Engineering Society, Dhiya al-Jumeily, On Sunday, confirmed the governments interest in developing artificial intelligence facilities and supporting related scientific researches, according to a press statement issued by the Iraqi cabinet.

Kadhimi, during the meeting, commended the scientific accomplishments Jumeily achieved that also received great attention in the global scientific communities.

According to the cabinets press statement, Kadhimi emphasized the governments interest in supporting scientific researches specialized in artificial intelligence, encouraging Iraqs possession of a scientific base for this modern field, and developing Iraqi human resources specialized in this field.

On the other hand, Jumeily thanked the Prime minister for the reception, and praised the governments programs that seek to care about innovators, support them and develop their role in the society.

Jumeily is a professor in the School of Computer Science and Mathematics at Liverpool John Moores University. He has extensive research interests covering a wide variety of interdisciplinary perspectives concerning the theory and practice of Applied Artificial Intelligence in medicine, human biology, environment, intelligent community and health care.

The professor published over 300 peer reviewed scientific international publications, 12 books and 14 book chapters, in multidisciplinary research areas.

Artificial intelligence is the ability of a digital computer or computer-controlled robot to perform tasks commonly associated with intelligent beings.

Artificial intelligence is a type of modern sciences that has spread widely in recent years, and entered many industrial and research fields, especially robotics and smart services for governments and companies.

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Iraqi government interested in artificial intelligence - Iraqi News