Nancy Shemwell, COO, Trilogy Networks, USA; Young-Kai Chen, program manager, Microsystems Technology Office, Defense Advanced Research Projects Agency (DARPA), USA; and Yiqun Cai, vice president, Alibaba Group, China will present compelling technical content on groundbreaking initiatives. The talks will cover edge cloud support and applications in rural territories, advances in photonics and artificial intelligence, and the evolution of networking driven by cloud computing. The plenary program is scheduled for Tuesday, 08 June 2021, 08:00 PDT, UTC-04:00.

"The OFC 2021 plenary will demonstrate the impressive work of leaders in our field who are driving innovations that will inspire our community and benefit society-at-large," said Jun-ichi Kani, OFC General Chair. "Nancy Shemwell, Young-Kai Chen and Yiqun Cai are behind the revolutionary applications of technologies that are rapidly changing communications and computing. We are privileged to have them as headliners for an engaging plenary program, which is always a highly anticipated segment of our international conference and exhibition."

In her presentation titled "Industrial Revolution 4.0 Gone Country," Nancy Shemwell, COO, Trilogy Networks, USA, will describe the Rural Cloud Initiative, the deployment of distributed edge cloud support and applications across rural America to help close the "digital divide." The initiative will bring the technology platforms required to run advanced solutions software and hardware to create an ecosystem.

Young-Kai Chen, program manager, Microsystems Technology Office at DARPA, USA, will discuss the "Symbiotic Perspective of Photonics and Artificial Intelligence" in his talk. Tremendous advances in photonics and artificial intelligence over the past decades have enabled the next generation of communications and computing.

A veteran in the networking industry, Yiqun Cai, vice president, Alibaba Group, China, will explore how cloud computing became the foundation of the company's infrastructure. In his talk titled "Hammers and Nails: How Technologies and Applications Drive the Evolution of Networking in Alibaba," Cai will share the company's experience building networks to enable the transition to this technology.

Registration Information

Conference registration opens in early 2021. Credentialed media and analysts who wish to cover OFC 2021 can find registration and other essential information in the OFC media room.

About OFC

The 2021 Optical Fiber Communication Conference and Exhibition (OFC) is the premier conference and exhibition for optical communications and networking professionals. For more than 40 years, OFC has drawn attendees from all corners of the globe to meet and greet, teach and learn, make connections and move business forward.

OFC includes dynamic business programming, an exhibition of global companies, and high impact peer-reviewed research that, combined, showcase the trends and pulse of the entire optical networking and communications industry. OFC is co-sponsored by The Optical Society (OSA), the IEEE Communications Society (IEEE/ComSoc), and the IEEE Photonics Society and managed by OSA. OFC 2021, a blended in-person and virtual event, will take place 06 10 June 2021 at the Moscone Center in San Francisco, California, USA. Follow @OFCConference, learn more at OFC Community LinkedIn, and watch highlights on OFC YouTube.

About The Optical Society

Founded in 1916, The Optical Society (OSA) is the leading professional organization for scientists, engineers, students and business leaders who fuel discoveries, shape real-life applications and accelerate achievements in the science of light. Through world-renowned publications, meetings and membership initiatives, OSA provides quality research, inspired interactions and dedicated resources for its extensive global network of optics and photonics experts. For more information, visit osa.org.

SOURCE The Optical Fiber Communication Conference and Exhibition (OFC)

https://www.ofcconference.org

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Evolution of Networking, Photonics and Artificial Intelligence and Deployment of Edge Cloud for Rural Among Topics for OFC 2021 Plenary - PRNewswire

The GREENTECH FESTIVAL and Audi as one of the founding partners of the sustainability platform created by Sven Krger, Marco Voigt, and Nico Rosberg awarded the GREEN FUTURE award together for the first time as part of the world premiere of the Audie-tronGT. The prize is part of the GREEN AWARDS of the festival and distinguishes projects and persons that promote environmentally compatible urbanization while making an important contribution to improving the quality of life and urban infrastructures at the same time. The award went to Tel Avivbased start-up Zencity, which developed an algorithm that collects and analyzes social media posts and local news from cities.

The UN already predicted that more than two thirds of people will live in cities by the middle of this century in its World Urbanization Prospects study in 2018. Already in 2030, the United Nations expect that there will be 43 megacities worldwide. Making life in cities as environmentally friendly and socially just as possible is therefore one of the major tasks of this decade. By initiating an award precisely for this endeavor, the GREENTECH FESTIVAL and AUDIAG aim to draw attention to this challenge and promote innovative solutions, support founders in the early stages of their projects, and encourage public dialogue.

Nominees included projects from the fields of energy, water, mobility, construction and living, digitalization, safety and security, and resources. The jury was comprised of representatives of the WWF, Deutsche Bahn, the German Institute for Economic Research (DIW), and the fashion label of rap artist Marteria Green Berlin, who are also members of the GREEN AWARDS jury of the sustainability platform. The jury evaluated the projects in terms of their contribution to environmental protection, scalability, technical innovation, and future viability. The GREENFUTURE Award is a special prize that is part of the GREEN AWARDS of the festival and highlights the opportunities of sustainable technologies for the cities of the future.

As part of the digital world premiere of the latest electric car from Audi, the Audie-tronG, two of the founders of the GREENTECH FESTIVAL, Nico Rosberg and Marco Voigt, CEO Judith Khn and Henrik Wenders, Senior Vice President Audi Brand, handed the award to Assaf Frances, Director Urban Policy & Partnerships of Zencity in a live ceremony. Nico Rosberg: Time is a critical factor when it comes to climate change, and we need to act now. Start-ups like Zencity provide us with the necessary tools. We need technologies like Zencitys AI to live up to our responsibility and put a stop to the destruction of our environment. With this special award, we are demonstrating what todays technology is already capable of when it comes to shaping our near future in urban areas that is sustainable and offers quality of life. We made a conscious decision to award the GREEN FUTURE Award in a different setting today, so as to reach as many new people as possible and spark their enthusiasm for a sustainable lifestyle. Henrik Wenders, SVP Audi Brand: Audi stands forVorsprung our aim is to use technology to contribute to a sustainable future and to shape urban mobility in such a way that the main focus is on the people. As an active partner of the GREENTECH FESTIVAL, we want to provide real added value and do our part to find answers to the pressing questions of the future.

Zencity was developed by Eyal Feder-Levy and Ido Ivri as an intuitive AI tool for local administrations. It uses an algorithm to find social media posts, websites, local news, and other online sources that contain information referring to the cities in which the people making these posts live. Advanced artificial intelligence and machine learning allow millions of user data points from the defined area, such as within a citys limits, to be processed and to generate informative findings on this basis. Customers of Zencity include municipal authorities that can use this data as a basis for understanding the needs of their inhabitants and making them a reality. This method conserves resources and replaces expensive and time-consuming face-to-face surveys, citizen hotlines, and committee meetings. This way, the tool helps all inhabitants of a city to gain the attention of political decision-makers and does so in an automated way, without complex reporting processes or bureaucratic obstacles. Zencity is already in use in 160cities, including Chicago, Ottawa, and Tel Aviv.

Other nominees included Strabag and its CIAir project and Sensoneo with its solution for intelligent waste management. The clean asphalt from Strabag reduces noise emissions by up to 35percent as compared to conventional asphalt. The gritting material used for the asphalt consists of ultra-high performance concrete (UHPC) mixed with titanium dioxide. When exposed to sunlight, it breaks down nitrogen oxides bound in the air and converts them into harmless nitrates. The material is incorporated directly into the hot asphalt surface. Sensoneo offers intelligent waste disposal solutions for cities and companies. They range from plant tracking forcontainers and all the way to an automated on-demand solution for more efficient collection planning. This way, three solutions for smart waste management are combined: asset management, waste monitoring, and route planning.

SOURCE: Audi

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Artificial intelligence for greater sustainability and quality of life in cities: GREENTECH FESTIVAL and Audi give GREEN FUTURE Award to Zencity -...

Innovations centered on the megatrend of artificial intelligence (AI): the finalists for the 2021 KUKA Innovation Award have been selected. Five teams convinced the international jury with their robotics concepts on the topic of AI. A monetary prize of 20,000 euro awaits the winner.

AI is becoming increasingly important for industry and the combination with robotics, in particular, is opening up completely new possibilities and applications.

An international jury of experts evaluated the concepts for the Artificial Intelligence Challenge and selected five finalists. The teams are provided with a KUKA robot free of charge and are being trained and coached by KUKA experts throughout the competition. The five finalist teams now have until the virtual Hannover Messe in April to implement their ideas. They will present their applications to a large specialist audience at the international industrial trade fair before the jury chooses the winner of the renowned competition during the fair.

These are the finalists of the Artificial Intelligence Challenge:

Implicit knowledge instead of complex programming codes: the goal of the team from theBrandenburg University of Technology Cottbus-Senftenbergis intelligent robot programming based on manual manufacturing sequences. The individual process steps are recorded by means of innovative data gloves and reproduced on the industrial robot using an AI-based self-learning system. The operator is freed from the need to formulate explicitly what the task is and how the robot has to perform it. Instead, the implicit knowledge of the operator during the manual manufacturing process is accessed. A corresponding skill sequence is automatically generated with this information, and the robot carries out its task without the need to write a single line of code.

Humans can often easily explore closed spaces with their hands and pick up objects without even looking. The application by the international team of researchers fromthe Indian Institute of Science and the U.S. Massachusetts Institute of Technologyaims to bring such capabilities to robots. The goal is for robots to explore, recognize and pick up objects in vision-denied environments using the sense of touch. To this end, the BlindGrasp team is designing a novel gripper with tactile sensing capabilities that gathers the contact and proximity information. This data, coupled with the force-sensing capabilities of KUKAs lightweight robot LBR iiwa, is used by a machine learning agent to learn motion policies and thus safely explore the environment and pick up objects.

Team Chorrobot

The goal of Chorrobot fromBelgiums Katholieke Universiteit Leuven and Flanders Make@KU Leuvenis to leverage artificial intelligence in order to enhance the productivity of car manufacturers as well as small and medium-sized enterprises by facilitating and expediting the deployment of bimanual robot manipulation tasks. The concept enables users without extensive expertise in robotics to demonstrate some aspects of the task and to intuitively specify other aspects via a graphical user interface. This approach facilitates the commissioning of challenging bimanual tasks including fixtureless assembly operations that involve non-rigid and non-fixed elements as well as bimanual inspection operations in unstructured environments.

Particularly during the COVID-19 pandemic, collaborative robots could help to reduce human-to-human interaction. However, configuring these machines for a set of given tasks still requires a great effort. The team from theA*STAR Institute for Infocomm Research in Singaporeis developing a programming-free approach that leverages the latest developments in AI capabilities. The technology enables more natural and safer human-robot collaboration. This allows the robot to support operators, especially in a high-mix low-volume manufacturing environment. The concept from Team CHRIS is comprised of intuitive object and task teaching, activity understanding as well as multimodal perception (vision, touch and speech) and reasoning.

The COVID-19 pandemic and social distancing are increasing the reliance on remote work. However, the impact of online tools for the construction industry is limited. Team CRC from theChair for Individualized Production / RWTH Aachen University & Robots in Architecture Researchis therefore integrating automation technology into online collaboration. Cloud Remote Control enables users to run robots, monitor processes and adapt tool paths from the comfort of their home or international office. This increases accessibility to worldwide robotic production, adding layers of Industrie 4.0 device communication and artificial intelligence to path planning. In this way, Cloud Remote Control empowers teams to remain safely at a distance while still collaborating closely on automated construction.

KUKA launched the innovation competition in 2014, focusing on different technologies each year. The goal of the award is to promote and expedite the transfer of technology from research to industry. All information about the competition as well as the topics and winners in recent years can be foundhere.

Link:
Artificial Intelligence Challenge: These are the finalists for the 2021 KUKA Innovation Award - MarketScale

Feb. 10, 2021 16:09 UTC

PARIS--(BUSINESS WIRE)-- WhiteLab Genomics, a specialist in artificial intelligence applied to gene and cell therapies, has signed a partnership agreement with Genethon, a pioneering research center in the field of gene therapy.The alliance will harness the power of artificial intelligence to accelerate development of innovative gene therapies.

As part of this partnership, Genethon teams will use WhiteLab Genomics CatalystTM platform to develop new capsids, or vectors, which are essential components for gene therapy products.

While several gene therapy products have already obtained market authorization for the treatment of rare and common diseases, which demonstrates the efficacy of this approach for conditions considered to be incurable, development of these complex therapies continues to face major scientific and technical hurdles. Many vectors used in gene therapy are derivatives of adeno-associated viruses (AAV). Their use has limitations: natural immunization of 30% to 40% of the population and difficulty targeting a specific tissue. As a result, extremely large quantities of vectors are necessary. In this context, the use of artificial intelligence solutions stands out as a deciding factor to overcome these obstacles and produce optimized vectors that better target the relevant tissues, thus making it possible to inject smaller quantities of product while maximizing the effect of the therapy.

Turning to AI for faster development of optimized vectors

Genethons teams will use WhiteLab Genomics CatalystTM platform to accelerate select research programs.

Thanks to its Machine Learning algorithms, the WhiteLab Genomics platform will help researchers develop next-generation gene therapy vectors, with a view to enhancing their precision with regard to the tissues to be treated while reducing their immunogenic qualities.

The tools developed by WhiteLab will make it possible for us to review thousands of sequences and devise new and innovative combinations. We aim to develop a new generation of more specific AAV vectors, contributing to the emergence of original treatments for neuromuscular disorders, said Dr. Ronzitti, who is managing the collaboration for Genethon.

We are thrilled to be working together with worldwide trailblazers and experts in the area of gene therapy, stated David Del Bourgo, CEO and co-founder of WhiteLab Genomics. France is a prime source of innovation in this field, and we look forward to helping research teams, in France and abroad, to make practical use of these extremely complex biological datasets, while also providing assistance to accelerate the development of optimized products.

About White Lab Genomics

Founded in 2019 by David Del Bourgo, Julien Cottineau and Lucia Cinque, WhiteLab Genomics is a French start-up specializing in artificial intelligence solutions dedicated to biotherapies, such as gene and cell therapies. The companys proprietary technology allows for multi-parameter analysis of complex biological data to optimize these treatments while reducing development costs. WhiteLab Genomics provides this unique technology to its clients via the Catalyst platform, available in SaaS mode. Today, the start-up has locations at the Evry Gnopole Frances first biocluster and at Station F. WhiteLab Genomics was recently ranked among Station Fs Future 40, an index of the 40 most promising companies within Europes largest start-up incubator. https://www.whitelabgx.com

About Genethon

Created by AFM-Telethon, Genethon is a non-profit research and development center dedicated to creating gene therapy products for rare diseases, from initial research to clinical validation. Genethon has several programs underway, in clinical, pre-clinical and research phases, to treat rare muscular, blood, immune system and liver disorders. Today, a product incorporating technologies developed thanks to Genethons pioneering research is available on the market in the United States, Europe and Japan to treat spinal muscular atrophy. Ten other products created through Genethon R&D, alone or in collaboration with partners, are at the clinical trial stage, while many more are slated to begin clinical trials in 2021 and 2022. Genethon.fr

View source version on businesswire.com: https://www.businesswire.com/news/home/20210210005707/en/

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Genethon and WhiteLab Genomics Join Forces to Enhance Gene Therapy Through Artificial Intelligence - BioSpace

Mitsui O.S.K. Lines, Ltd. and Bearing, Inc. announced yesterday an expansion of their partnership that began in 2019. The relationship was originally established with the goal of improving shipping efficiencies within the maritime industry. Through various trials and intensive discussions concerning ship modeling, a range of products including a newly announced AI-powered Smart Routing Engine, has been developed by combining MOLs maritime expertise and Bearings artificial intelligence (AI) technology infrastructure. This routing engine automatically analyzes multiple potential routes for a given voyage and recommends prudent, efficient routing through use of optimal main engine output and propeller RPM profiles.

Bearing is a Silicon Valley-based AI technology startup that focuses on streamlining shipping operations. At the core of Bearings technology are highly-accurate ship performance models built off of a diverse set of real-world data points. These AI-powered models with some historical voyage data for certain vessels such as vessel speed, trim, main engine operation, weather and sea condition allow Bearing to predict metrics like fuel consumption with state-of-the-art accuracy even without vessels design parameters.

Bearings desire to partner with MOL arose from MOLs reputation as a technology leader in the shipping industry that understands the transformative potential of AI. MOL appreciates Bearings profound AI expertise and background in building scalable AI technology products. These mutual recognitions lead to an agreement for the expansion of the existing partnership.

The global shipping industry has been challenged to further enhance energy efficiency and develop measures to reduce greenhouse gas (GHG) emissions from ships in a manner that will phase them out in this century. The MOL Group is one of the worlds leading multi-modal transport entities that is committed to achieving sustainable Net Zero GHG Emissions through collective efforts by 2030.MOL, at its highest organizational levels, continuously monitors the condition of our fleet to ensure optimum operational efficiency and prudent safe navigation by combining the technologies of Bearing as well as other existing and new solutions. MOL accepts its social obligation to take innovative steps to help solve environmental issues such as greenhouse gas (GHG) emissions, air pollution and biodiversity impediments.Source: Mitsui O.S.K. Lines, Ltd.

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Bearing and MOL team up to bring Artificial Intelligence to the maritime shipping industry -GHG Reduction, Shipping meets Artificial Intelligence -...

US-based SAS, a multinational developer of analytics software, has revealed that the Bank of Singapore, which is a member of the OCBC Group, will be using its AI-enhanced communications surveillance analytics software in their training and monitoring of customer representatives performance.

SAS Trade and Communications Surveillance solution has been designed to assist banks with improving sales representatives performance, ensuring compliance and also enhancing the overall customer experience.

The surveillance framework and methodology will help the Bank of Singapore with monitoring its routine sales practices and ensure that the institution complies with applicable regulatory requirements provided by the Monetary Authority of Singapore (MAS).

The communications surveillance software will connect disparate data across structured and unstructured sources. In-depth text analytics helps financial services providers with getting a deeper understanding into conversation topics, sentiments, and due diligence insights.

Advanced analytics aims to automate the manual sales and service supervision monitoring while adding capabilities to identify various behavioral patterns and relationships.

Risk factors are assessed and assigned scores, and evidence is stored to support the analytical outcome, which is used to power machine learning algorithms. Banks are able make key decisions based on analytic findings, bank risks and business policies.

Adoption of best practices helps enhance sales practices and supervision activities, allowing for the early detection of irregularities which leads to an improved customer experience. The enhanced surveillance of interactions across different groups can help with establishing client trust in the banking institution and its financial advisory process.

Another benefit of integrating these capabilities is increased productivity. The existing manual process requires agents to review large amounts of data, but with the new system theyll be able to focus on more meaningful and value-added tasks.

Alexandre Lotfi, Global Chief Risk Officer, Bank of Singapore, remarked:

Now with the AI-powered Trade and Communications surveillance solution, we are able to proactively gather and analyze data automatically and in real time. This transparent process protects our customers and enhances our reputation for financial jurisprudence and reliability.

Randy Goh, SAS MD at the firms Singapore offices, stated:

Bank of Singapores choice of SAS to be their partner in their drive to improve conduct surveillance and enhance customer experience, validates the robust and intellectual quality of our solution. We look forward to helping financial institutions and regulatory authorities create a safe and protected environment for Singapore customers.

Excerpt from:
Artificial Intelligence enhanced Communications Surveillance Analytics Software from SAS to be used by Bank of Singapore - Crowdfund Insider

A new project run by a consortium of European institutions aims to improve the care of people with amyotrophic lateral sclerosis (ALS) and multiple sclerosis (MS) through targeted use of artificial intelligence (AI).

Called BRAINTEASER,the four-year study will monitor some 300 participants using various wearable sensors and digital apps. Data collected aims to help clinicians better detect, predict, and manage their patients disease progression.

Through a simple system of wearable sensors and apps we intend to bring the advantages of artificial intelligence directly to the patient, by integrating models for short and long-term risk prediction, clinical decision aid and prevention, Barbara Di Camillo, PhD, BRAINTEASERs scientific and technical manager, said in a press release.

Patients taking part will be monitored at four clinical centers in Italy, Spain and Portugal.

People with ALS and MS live with considerable uncertainty, regarding when to expect acute episodes of their respective disorders. This translates into alternating between hospital and home, placing a heavy psychological and economic burden on both the patients and their caregivers.

At the same time, doctors need better tools to help them manage their patients treatment more efficiently and effectively, such as by predicting disease progression, and personalizing therapies to better fit each patients needs.

BRAINTEASER which stands for BRinging Artificial INTelligencE home for a better cAre of amyotrophic lateral sclerosis and multiple SclERosis will integrate the personal data gathered from patients with large clinical datasets. These combined data will be analyzed using AI methods to achieve five key goals.

They are, first, to better describe the mechanisms behind ALS and MS; second, to classify patients according to the particular way their condition evolves; third, to predict disease progression in a timely manner; fourth, to investigate the role that environmental factors play in these disorders; and finally, to suggest interventions that can delay disease progression.

The Universidad Politcnica de Madrid leads the program, with the support of 10 other members from six European countries and representing academia, industry, and medical and non-profit sectors. The European Unions Horizon 2020 program funds the program, with an overall budget of 5.9 million (about $7 million).

Although BRAINTEASER officially launched on Jan. 1, it started operating after a partners meeting on Jan. 28 and 29. During that meeting, the partners worked to streamline their initial action plan and to agree on their roles, responsibilities, and the most effective strategies to pursue.

The BRAINTEASER team hopes that by contributing to healthcare becoming more proactive than reactive, people may live healthier and more fulfilling lives for as long as possible.

We will contribute to assess the disease progression and advance the medical intervention to prevent the decline, empower and maintain ALS and MS patients healthier, said Maria Fernanda Cabrera, PhD, coordinator of the BRAINTEASER project.

Forest Ray received his PhD in systems biology from Columbia University, where he developed tools to match drug side effects to other diseases. He has since worked as a journalist and science writer, covering topics from rare diseases to the intersection between environmental science and social justice. He currently lives in Long Beach, California.

Total Posts: 45

Ins holds a PhD in Biomedical Sciences from the University of Lisbon, Portugal, where she specialized in blood vessel biology, blood stem cells, and cancer. Before that, she studied Cell and Molecular Biology at Universidade Nova de Lisboa and worked as a research fellow at Faculdade de Cincias e Tecnologias and Instituto Gulbenkian de Cincia. Ins currently works as a Managing Science Editor, striving to deliver the latest scientific advances to patient communities in a clear and accurate manner.

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European Project Using Artificial Intelligence to Improve ALS Care - ALS News Today

The healthcare industry has quickly absorbed the digitization trends, and is increasingly incorporating technology for patient treatment, case handling, financial management and security management, amongst others. Lately, the advancement in Artificial Intelligence (AI) technology is drastically helping in the faster case resolution in the healthcare industry. AI-based systems are being increasingly developed by companies such as Siemens and Philips. AI is the simulation of human-like intelligence in computing systems through a set of self-learning algorithms which makes the AI think and act like a human being. AI algorithms are capable of using historic data for predicting future outcomes. Data-driven treatments can be implemented through the use of AI. For instance, a patients blood pressure record over the years can be monitored to suggest the ideal treatment course for the individual, and the patient can be asked to avoid certain actions that cause blood pressure spikes in the future. The combination of AI and data analytics has the power to reduce diagnostic errors and optimize medicine doses in the healthcare industry. Furthermore, the detection of cancer can also be facilitated with AI. Researchers at Google AI Healthcare, for instance, created an algorithm called Lymph Node Assistant (LYNA), which was trained to analyze histology slides for the detection of metastatic breast cancer tumors from the biopsies of lymph nodes. The algorithm was able to classify a sample as non-cancerous or cancerous with an accuracy of 99%. Also, the incorporation of AI in medical devices is also on the rise. SmartExam system by Koninklijke Philips N.V., for instance, helps in the automation of MR exam planning, scanning and processing with ease. The AI software used in SmartExam automatically plans scanning geometries based on the preference of the medical professional. California-based Caption Health, on the other hand, provides an AI software that enables the healthcare providers to interpret ultrasound data at a faster rate. It provides real-time guidance on the positioning and manipulation of the transducer on the patients body, thereby aiding the ultrasound technician to produce results faster. Thus, the power of AI for faster resolution of patient cases in the healthcare industry, coupled with its predictive forecasting features is helping in the growth of the global artificial intelligence in medicine market.

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The COVID-19 pandemic has severely impacted the lives of both businesses and individuals alike. The healthcare industry has been burdened with the rise of COVID-19 cases in countries like Brazil, USA and India, amongst others. Public health organizations are relying on AI technology for curbing the spread of the Coronavirus. Patient data can be used to analyze the presence of COVID-19 hotspots, which makes it easier to isolate individuals. Furthermore, AI algorithms also help in predicting the increase of COVID-19 patients in the future, based on historical data. Also, AI-based models have been successful in drug discovery in the previous years, and these models are also being used for the development of a COVID-19 vaccine by pharmaceutical companies. Graph Convolutional Neural Networks (GCNN)are being increasingly used for this purpose. Therefore, the COVID-19 pandemic is expected to have a positive impact on the global artificial intelligence in medicine market.

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The detailed research study provides qualitative and quantitative analysis of the global artificial intelligence in medicine market. The artificial intelligence in medicine market has been analyzed from demand as well as supply side. The demand side analysis covers market revenue across regions and further across all the major countries. The supply side analysis covers the major market players and their regional and global presence and strategies. The geographical analysis done emphasizes on each of the major countries across North America, Europe, Asia Pacific, Middle East & Africa and Latin America

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Global Artificial Intelligence in Medicine Market

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Artificial Intelligence in Medicine Market is expected to Grow at a CAGR Of 49.4% From 2019 To 2027, owing to the Increasing Demand for Automation...

Artificial intelligence technologies are often accused of taking away jobs. But how much does the perception hold up in reality? In a new study, Daron Acemoglu of Massachusetts Institute of Technology and his peers have found that AI has indeed changed the skill profile of jobs, but its aggregate impact on employment is too little to detect.

The study analyses the impact of AI on jobs in the US labour market using job vacancy data from 2007 and 2010-18. The data is sourced from Burning Glass Technologies, a company that specializes in job market analytics.

The study finds a significant rise in the number of jobs that require AI skills, particularly after 2014 and mainly in industries that use AI technologies. The job descriptions for these vacancies show that companies that could accommodate AI stopped looking for workers with certain skills that they used to look for earlier.

At the same time, these firms started listing jobs with additional skill requirements, signalling that even though some jobs had died away, others may have emerged. The study also finds some evidence to suggest that establishments highly exposed to AI reduced hiring in jobs that do not require AI skills.

On more aggregate levels however, the study does not find any conclusive evidence to show that more exposure to AI impacts employment and wages. The authors attribute this to the fact that AI technologies are still in their infancy and have spread only to a limited part of the US economy.

The authors suggest more research on why exposure to AI is not closely linked with hiring in non-AI jobs. They say their study cant predict yet which way AI will gowhether it will complement or substitute human capabilitiesbecause the scope of AI of the future could be different from today.

Also read: AI And Jobs: Evidence From Online Vacancies

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AI hasnt hit employment that badly yet - Mint