Archive for the ‘Artificial Intelligence’ Category

Robotics and Artificial Intelligence in solar energy – ELE Times

A one of a kind opportunity exists to apply AI to a particular part of the clean energy value chain: materials. Materials fill in as the structure blocks of clean energy, for example, the solar cells that make up the photovoltaic panels found on rooftops. Enhancing the materials used to manufacture parts of clean energy is significant on the grounds that current materials are frequently lethal, non-earth rich, and require carbon-concentrated processing.

Without getting excessively technical, basically, the entire reason of AI is a machine emulating the human brain. The machine can learn and adjust to various situations, and as time passes, the machine gets smarter and responds diversely to accomplish better outcomes.

Utilizing AI along these lines can give producers an edge. Manufacturers will in general put resources into upgrading downstream production capacities, which has prompted a few AI applications in sensor innovations and process optimisation. Utilizing AI for upstream design purposes, nonetheless, is an undiscovered business opportunity that could decrease the time it takes to find new materials, opening up capital for deployment and commercialisation strategies.

Robots have already made a difference. They are currently generally used to blend many somewhat various recipes for a material, store them on single wafers or different platforms, and afterward process and test them all the while. In any case, basically trudging through recipe after the recipe is a moderate course to a breakthrough. High throughput is an approach to do heaps of experiments, however, not a great deal of development.

Governments are making the first move on AI-empowered clean energy materials disclosure, flagging this is a region of key national and worldwide interest. Public risk capital drives down expenses for industry, empowering the more extensive adoption of AI in cutting edge producing. Making clean energy materials less expensive, cleaner, and increasingly solid isnt useful for the earth, yet in addition useful for business.

This situation shows an opportunity for the clean energy manufacturing sector. Applying AI to the advancement of new materials can decrease embedded emissions, toxicity and costs while saving researchers valuable time in the lab. Experiments done by trial-and-error are frequently rehashed a lot of times before a breakthrough happens. Rather, AI could automate complex logical tasks and empower analysts to concentrate on tasks that require more creativity and ingenuity.

To speed the procedure, numerous teams have included computer modeling to foresee the equation of likely pearls. Were seeing a torrential slide of exciting materials originating from the forecast, says Kristin Persson of Lawrence Berkeley National Laboratory (LBNL) in California, who runs a large-scale prediction enterprise known as the Materials Project. However, those frameworks still commonly depend on graduate students or experienced researchers to assess the consequences of trials and decide how to continue. However, Individuals still need to do things like rest and eat.

Governments are making the first move on AI-empowered clean energy materials disclosure, flagging this is a region of key national and worldwide interest. Public risk capital drives down expenses for industry, empowering the more extensive adoption of AI in cutting edge producing. Making clean energy materials less expensive, cleaner, and increasingly solid isnt useful for the earth, yet in addition useful for business.

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Robotics and Artificial Intelligence in solar energy - ELE Times

Military Applications of Artificial Intelligence – Ethics Project Now Funded – Peace Research Institute Oslo (PRIO)

How canthe moral integrity and agency of military personnel be preserved and enhanced when artificial intelligence is implemented in practices of war?

Congratulations to Greg Reichberg on funding from the SAMKUL callof the Research Council of Norway for a four-yearproject with th title: Warring with Machines:Military Applications of Artificial Intelligence and the Relevance of Virtue Ethics. The PRIO team also consists of Henrik Syse and Mareile Kaufmann, and in addition a full-time PhD position.

Artificial intelligence plays an ever-expanding role in the context of war. This project aims to determine how the moral integrity and agency of military personnel may be preserved and enhanced when artificial intelligence is implemented in practices of war.

The project will pursue this goal from the perspective of virtue ethics, philosophy of action and mind, and applied military ethics, in close dialogue with institutional stakeholders as well as technologists and representatives from cognitive neuroscience. Its three main research questions are as follows:

The project is built up around a unique institutional collaboration between leading national and international research institutions within the fields of military ethics, the philosophy of mind, and artificial intelligence research, as well as key military training institutions and technology manufacturers.

In addition to the PRIO team, the project will have the following externalmembers:

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Military Applications of Artificial Intelligence - Ethics Project Now Funded - Peace Research Institute Oslo (PRIO)

Innovations in Artificial Intelligence-, Cloud-, and IoT-based Security, 2019 Research Report – ResearchAndMarkets.com – Business Wire

DUBLIN--(BUSINESS WIRE)--The "Innovations in Artificial Intelligence-, Cloud-, and IoT-based Security" report has been added to ResearchAndMarkets.com's offering.

This Cyber Security TechVision Opportunity Engine (TOE) provides a snapshot on emerging cyber security solutions powered by artificial intelligence, cloud, and IoT innovations that help companies protect from threats, data breaches, phishing, other advanced and targeted attacks. They also defend against and prevent modern attacks residing within cloud, endpoints, and various network layers.

Cyber Security TechVision Opportunity Engine's mission is to investigate new and emerging developments that aim to protect the network infrastructure and the resources operating in the network. The TOE offers strategic insights that would help identify new business opportunities and enhance technology portfolio decisions by assessing new developments and product launches in: anti-spam, anti-virus, phishing, identity management, disaster recovery, firewalls, virtual private networks, end-point security, content filtering,

Web application security, authentication and access control, intrusion prevention and detection systems, encryption algorithms, cryptographic techniques, and pattern recognition systems for network security.

Highlights of this service include technology roadmapping of network security technologies; IP portfolio analysis; information on funding and investment opportunities; evaluation of commercial opportunities from technology developments; technology assessment; analysis of technology accelerators and challenges and many more.

Key Topics Covered:

Companies Mentioned

For more information about this report visit https://www.researchandmarkets.com/r/n3ivvh

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Innovations in Artificial Intelligence-, Cloud-, and IoT-based Security, 2019 Research Report - ResearchAndMarkets.com - Business Wire

Ume University: Master all areas of Artificial Intelligence – Study International News

Artificial intelligence (AI) is transforming work and life as we know it, already boosting workplace efficiency and leading to noticeable improvements to the quality of for instance healthcare, lowering costs while giving clinicians time to work with their patients more closely, and with more insight. This was made clear in arecent MIT Technology Review Insights surveyproduced in partnership with GE Healthcare, where more than 82 percent of healthcare business leaders said their AI deployments were showing positive results across operational and administrative activities,.

When analysing the impact AI would have on the global education sector, founders of theInstitute for Ethical AI in Education (IEAIED) said there wasno need to fear the technology. Rather than replace the human element in education, AI would augment teaching and learning, they said.

There are highly beneficial applications of machine learning inside the area of education. Artificial Intelligence may enable personalised learning, especially important for students with specialized needs and challenges. Awell-designed AI can be used to identify learners particular needs so that everyone especially the most vulnerable can receive targeted support.

With global education and healthcare being just two of many sectors that AI has advanced so far, and withhundreds more AI technology developmentson the horizon, such as autonomous vehicles, manufacturing and financial services to add to the list, the need for expertise in the field appears limitless!

Firmly supporting this need and accepting this challenge is theFaculty of Science and TechnologyatUme University, Sweden.

Currently open forautumn 2020 intake, their newMasters in Artificial Intelligenceis a postgraduate programme that enables you to develop broad and core competence in AI and equips you with the digital tools necessary for future career success.

Youll also experience a combination of lectures, seminars, group work, and tutorials in conjunction with different types of assignments and laboratory work to advance your AI education in a multidisciplinary manner.

It is of critical importance to study in a more multidisciplinary manner, where humanities and social sciences are combined with science and technology. AI can no longer be seen as a purely technical or computer science discipline. It is per definition interdisciplinary, says Ume Department of Computing Science Professor, Virginia Dignum.

One of the first professors recruited to Sweden as part of the Wallenberg AI, Autonomous Systems and Software Program (WASP) initiative and actively involved in several international initiatives on policy and strategy guidelines for AI research and applications, such as theEuropean Commission High Level Expert Group on Artificial Intelligence (AI HLEG), Dignum is one of the AI experts at Ume who are driving research and graduate success forward.

My position at Ume University makes it possible for me to look at societal, ethical and cultural consequences of AI. I will for instance be studying methods and tools to ensure that AI systems are formed not to violate human values and ethical principles, says Dignum, who also leads the research group Social and Ethical Artificial Intelligence at the Faculty.

Another integral member at the Faculty is Senior Lecturer Helena Lindgren.

Understanding the urgency of AI integration, Lindgren believes that the university needs to be driven to produce research that develops, educates and enhances the capabilities of AI in society, both in terms of system development and implementation.

One of the objectives at Ume is to raise societys AI competence, such as through continuing education and professional development of currently employed persons. Its very important for Sweden as a nation, as well as its companies and organisations, to be able to take the next step in digital development, says Lindgren.

Lindgren and Dignum reflect the high caliber of the 30-strong researchers at Ume University that are engaged in the development of AI in different areas.

To study here is to be under their expert guidance as you undertake courses that relate to human-AI interaction and complete student projects conducted in collaboration with an organisation addressing societal challenges.

In these projects, students are expected to collaborate in interdisciplinary teams and with representatives from industry and public organisations, adding a practical twist to the 2020 course.

In this English-taught Masters, you are also expected to take full responsibility for organising your tasks so that deadlines are met and collaborative work within student projects are manageable within office hours.

Despite being a new course, AI is not a new focus for Ume.

In the 1970s, Ume Professor Lars-Erik Janlert focused on Knowledge Representation, and in the early 1980s he formed the Swedish AI Society together with other Swedish researchers.

Since then, Ume has expanded its outreach into a variety of research and education activities across different departments and faculties and is now one of seven universities that are part of the governmental initiative AI Competence for Sweden.

Ume University

Continuously building its research efforts through its strong interdisciplinary traditions and close collaborations with society, AI@UmU initiatives have also established an expanding network of researchers, teachers, students and professionals who want to learn, discuss and collaborate around AI-related issues via seminars, panel discussions and courses.

Always welcome to discuss the latest tech revelations and AI advancements with their professors and visiting professionals, Ume students are motivated to unearth AI research angles of their own.

From day one of the new Masters programme, theyll deepen their insight into this exciting field and take their knowledge of AIs theoretical foundations, intelligent robotics, machine learning and data science further.

So, if youre ready to master all areas of AI and want to start your postgraduate study venture in Sweden, click here to find out about the application and eligibility process.

Follow Ume University on Facebook, Instagram, Twitter and YouTube.

Ume University: Preparing students for life after graduation

Ume University: Advancing Science through 5 strong research environments

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Ume University: Master all areas of Artificial Intelligence - Study International News

Innovations in Artificial Intelligence, Cloud, Blockchain, and Analytics, 2019: Advances in AI, Blockchain, and Business Intelligence -…

DUBLIN--(BUSINESS WIRE)--The "Innovations in Artificial Intelligence, Cloud, Blockchain, and Analytics" report has been added to ResearchAndMarkets.com's offering.

This edition of IT, Computing and Communications (ITCC) TechVision Opportunity Engine (TOE) provides a snapshot of the emerging ICT led innovations in artificial intelligence, machine learning, cloud, and analytics. This issue focuses on the application of information and communication technologies in alleviating the challenges faced across industry sectors in areas such as banking, oil & gas, healthcare, life sciences, and industrial sectors.

ITCC TOE's mission is to investigate emerging wireless communication and computing technology areas including 3G, 4G, Wi-Fi, Bluetooth, Big Data, cloud computing, augmented reality, virtual reality, artificial intelligence, virtualization and the Internet of Things and their new applications; unearth new products and service offerings; highlight trends in the wireless networking, data management and computing spaces; provide updates on technology funding; evaluate intellectual property; follow technology transfer and solution deployment/integration; track development of standards and software; and report on legislative and policy issues and many more.

Innovations in ICT have deeply permeated various applications and markets. These innovations have profound impact on a range of business functions for computing, communications, business intelligence, data processing, information security, workflow automation, quality of service (QoS) measurements, simulations, customer relationship management, knowledge management functions and many more.

Key Topics Covered:

Companies Mentioned

For more information about this report visit https://www.researchandmarkets.com/r/x8spy9

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Innovations in Artificial Intelligence, Cloud, Blockchain, and Analytics, 2019: Advances in AI, Blockchain, and Business Intelligence -...