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Adding 8 trillion tons of artificial snow to the West Antarctic Ice Sheet could stop from collapsing. Should we do it?

There are a heck of a lot of reasons not to.




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The little bicycle that could, thanks to artificial intelligence

An AI chip designed to mimic certain aspects of the human brain has given a bicycle an unprecedented level of autonomy.




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California has 33 million acres of forest. This company is training artificial intelligence to scour it all for wildfire.

As fires tear across California, a Silicon Valley technology company believes artificial intelligence could be the key to preventing them in the future.




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New Global OReilly Report Finds 85% of Organizations Are Evaluating or Using Artificial Intelligence in Production




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Article: Marketers Need Artificial Intelligence to Reach the Segment of One

Radoslaw Dobrolecki, US business development director at RTB House, discusses how artificial intelligence can help predict customer behavior at scale.




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Article: How Artificial Intelligence Can Transform the Digital Out-of-Home Marketplace

Omer Golan, founder and CEO of Outernets, discusses how artificial intelligence can improve the digital out-of-home industry.




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Undercurrents: Episode 10 - Artificial Intelligence in International Affairs, and Women Drivers in Saudi Arabia




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Artificial Intelligence and the Public: Prospects, Perceptions and Implications




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Undercurrents: Summer Special - Allison Gardner on Artificial Intelligence




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An artificial 'tongue' of gold to taste maple syrup

(University of Montreal) A chemistry professor at Université de Montréal has developed a new test using gold nanoparticles to establish the flavour profile of maple syrup and help producers evaluate its quality.




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Artificial Intelligence Prediction and Counterterrorism

9 August 2019

The use of AI in counterterrorism is not inherently wrong, and this paper suggests some necessary conditions for legitimate use of AI as part of a predictive approach to counterterrorism on the part of liberal democratic states.

Kathleen McKendrick

British Army Officer, Former Visiting Research Fellow at Chatham House

2019-08-06-AICounterterrorism.jpg

Surveillance cameras manufactured by Hangzhou Hikvision Digital Technology Co. at a testing station near the company’s headquarters in Hangzhou, China. Photo: Getty Images

Summary

  • The use of predictive artificial intelligence (AI) in countering terrorism is often assumed to have a deleterious effect on human rights, generating spectres of ‘pre-crime’ punishment and surveillance states. However, the well-regulated use of new capabilities may enhance states’ abilities to protect citizens’ right to life, while at the same time improving adherence to principles intended to protect other human rights, such as transparency, proportionality and freedom from unfair discrimination. The same regulatory framework could also contribute to safeguarding against broader misuse of related technologies.
  • Most states focus on preventing terrorist attacks, rather than reacting to them. As such, prediction is already central to effective counterterrorism. AI allows higher volumes of data to be analysed, and may perceive patterns in those data that would, for reasons of both volume and dimensionality, otherwise be beyond the capacity of human interpretation. The impact of this is that traditional methods of investigation that work outwards from known suspects may be supplemented by methods that analyse the activity of a broad section of an entire population to identify previously unknown threats.
  • Developments in AI have amplified the ability to conduct surveillance without being constrained by resources. Facial recognition technology, for instance, may enable the complete automation of surveillance using CCTV in public places in the near future.
  • The current way predictive AI capabilities are used presents a number of interrelated problems from both a human rights and a practical perspective. Where limitations and regulations do exist, they may have the effect of curtailing the utility of approaches that apply AI, while not necessarily safeguarding human rights to an adequate extent.
  • The infringement of privacy associated with the automated analysis of certain types of public data is not wrong in principle, but the analysis must be conducted within a robust legal and policy framework that places sensible limitations on interventions based on its results.
  • In future, broader access to less intrusive aspects of public data, direct regulation of how those data are used – including oversight of activities by private-sector actors – and the imposition of technical as well as regulatory safeguards may improve both operational performance and compliance with human rights legislation. It is important that any such measures proceed in a manner that is sensitive to the impact on other rights such as freedom of expression, and freedom of association and assembly.




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Artificial intelligence versus clinicians: systematic review of design, reporting standards, and claims of deep learning studies




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Research Uses Artificial Intelligence to Measure Human Emotions

Source:

New research presented online at the Cognitive Neuroscience Society annual meeting shows how data-driven computational methods are being used to understand and detect emotions. Investigators believe their findings have the potential to overturn old ideas about the structure of emotions across humanity.






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Feasibility of Outpatient Fully Integrated Closed-Loop Control: First studies of wearable artificial pancreas

Boris P. Kovatchev
Jul 1, 2013; 36:1851-1858
Diabetes Care Symposium




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Artificial tongue with gold taste buds to test maple syrup

Scientists in Quebec have developed an artificial tongue that can taste the flavor profiles of maple syrup, researchers revealed in a paper published on Tuesday.




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Smarter hardware to make artificial intelligence more energy efficient

Artificial intelligence requires a lot of energy. Simply solving a puzzle can require the equivalent of the energy produced by three nuclear plants in a single hour.




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TIGER: using artificial intelligence to discover our collections

The State Library of NSW has almost 4 million digital files in its collection.




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Artificial Intelligence Gives Researchers the Scoop on Ancient Poop

The computer program can identify canine versus human feces based on DNA sequences in samples




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Two-Step Bacterial Artificial Chromosome (BAC) Engineering: Verification of Co-Integrates and Selection of Resolved BAC Clones

Successful modification of the bacterial artificial chromosome (BAC) after two-step BAC engineering is confirmed in two separate polymerase chain reactions (PCRs). The first reaction (5' co-integrate PCR) uses a forward 5' co-integrate primer (a sequence located upstream of the 5' end of the A-box) and a reverse 3' primer on the vector (175PA+50AT) or within the reporter sequence or mutated region as appropriate. The second reaction (3' co-integrate PCR) uses a forward 5' primer on the recA gene (RecA1300S) and a reverse 3' co-integrate primer (a sequence located downstream from the 3' end of the B-box). Those colonies shown to be positive in PCR analysis are further tested for sensitivity to UV light. After the resolution, colonies that have lost the excised recombination vector including sacB and recA genes become UV light sensitive.




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Two-Step Bacterial Artificial Chromosome (BAC) Engineering: Electroporation of Competent BAC Host Cells with the Recombinant Shuttle Vector

Bacterial artificial chromosome (BAC) clones are rendered electrocompetent and transformed with the recombinant shuttle vector, pLD53SCAB/AB-box. Cointegrates are selected by growth on chloramphenicol and ampicillin to ensure recombination of the shuttle vector into the BAC.




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Two-Step Bacterial Artificial Chromosome (BAC) Engineering: Preparation and Verification of the Recombinant Shuttle Vector

Plasmid DNA is prepared from the recombinant shuttle vector pLD53.SCAB/A-B created by cloning of the A and B homology arms for two-step bacterial artificial chromosome (BAC) engineering. To confirm that the A-box and B-box arms have been successfully incorporated into pLD53.SCAB, the pattern of enzyme digestion of the modified plasmid is compared with that of the unmodified pLD53.SCAB. Once the shuttle vector is shown to carry the proper sequences, it is ready for transfer into the BAC host.




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Two-Step Bacterial Artificial Chromosome (BAC) Engineering: Cloning of the A and B Homology Arms into the Shuttle Vector

This protocol describes the preparation of the shuttle vector before its introduction into bacterial artificial chromosome (BAC) host cells for BAC two-step engineering. The homology arm sequences, prepared previously, are introduced by ligation into the digested shuttle vector DNA to provide sites for recombination within the BAC clone. Crude lysates of individual bacterial transformants serve as templates in polymerase chain reaction (PCR) analysis to confirm the presence of the homology arms in the recombinant shuttle vector.




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Two-Step Bacterial Artificial Chromosome (BAC) Engineering: Preparation of the A Homology Arm (A-Box) and B Homology Arm (B-Box)

The 700-bp A homology arm (A-box) and the 700-bp B homology arm (B-box) are amplified by polymerase chain reaction (PCR) using purified bacterial artificial chromosome (BAC) DNA as template for two-step BAC engineering. The resulting A-box PCR product contains an AscI site at its 5' end (the 5' primer incorporates an AscI site, and the 3' primer does not incorporate any restriction sites). The B-box PCR product contains an XmaI site at its 3' end (the 5' primer does not incorporate any restriction sites, and the 3' primer incorporates an XmaI site). The amplification products are then digested with the appropriate restriction endonucleases to render them suitable for cloning into the shuttle vector.




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Two-Step Bacterial Artificial Chromosome (BAC) Engineering: Preparation of Shuttle Vector DNA

In two-step bacterial artificial chromosome (BAC) engineering, a single plasmid is introduced into the BAC-carrying cell lines. The shuttle vector pLD53.SCAB (or pLD53.SCAEB) carries the recA gene and the R6K origin, which requires the protein to replicate. PIR2 cells, expressing , are typically used for the amplification of the vector and maintain about 15 copies/cell of the donor vector, which is relatively stable in this host.




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Parental Perceptions of Forgoing Artificial Nutrition and Hydration During End-of-Life Care

Forgoing artificial nutrition and hydration in children at the end of life is an acceptable practice under some circumstances. However, there is a paucity of pediatric evidence to guide health care providers’ and parents’ decision-making around this practice.

This study describes experiences of parents whose children died after forgoing artificial nutrition and hydration. All parents were satisfied with their decision and believed their child’s death was peaceful. This study adds to the limited evidence to guide clinical practice. (Read the full article)




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Could Artificial Intelligence Automate Student Note-Taking?

An AI-powered digital assistant to take notes for you? It’s already happening in the workplace, but classroom note taking could prove harder to automate.




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Governor Carney, Governor Hogan Urge FERC to Expedite Review of Artificial Island Cost Allocation

As currently funded, $278 million project would unfairly burden electric ratepayers on Delmarva WILMINGTON, Del. – Delaware Governor John Carney and Maryland Governor Larry Hogan on Tuesday sent a letter to members of the Federal Energy Regulatory Commission, urging commissioners to expedite their review of the $278 million Artificial Island transmission line project and consider a […]




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Spotlight on SiriusDecisions: Artificial Intelligence

Kerry Cunningham of SiriusDecisions talks about how AI can power the B2B revenue engine





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US biotech injects 3D printing expertise into Victorian artificial kidney project

San Diego-based biotechnology company, Organovo Holdings (Organovo), has announced a tie up with a Melbourne research institute to help develop regenerative medicine in Australia.




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Artificial intelligence expert selects Sydney for Asia-Pacific launch pad

New York-based artificial intelligence (AI) specialist, Dataiku, is expanding in the Asia-Pacific region with a major new office in Sydney. The company will be hiring dozens of local employees, from customer-facing staff to data scientists.




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The European Commission White Paper on Artificial Intelligence published

  Throughout 2019, we saw a growing promulgation of guidance, consultations and new laws across the world. In light of such a regulatory landscape beginning to form, there is growing debate as to whether or not Artificial Intelligence (“A...




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Ethics becomes a key focus for artificial intelligence adoption

In the last few years, there has been an increasing focus on the need for adequate ethics guidance for the use of artificial intelligence and robots – something we have regularly written and spoken about. For example, in 2017, MEPs from the E...




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Legal considerations for the financial services sector in adopting artificial intelligence

Legal liability for financial institutions and financial services firms when using artificial intelligence and machine learning Recent advances in the development of artificial intelligence (AI), coupled with the availability of sufficient computing...




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Artificial intelligence, and human education, needed to advance energy efficiency -- by Yongping Zhai (翟永平), Yoonah Lee, Dan Millison

To get energy efficiency programs back on track, governments need to focus on education, incentives and improved regulations, as well as artificial intelligence and machine learning.




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How governments can halt the rise of unfriendly, unstoppable super-artificial intelligence -- by Wim Naudé

Artificial intelligence could be enormously beneficial to society, and it could also lead to catastrophe. Governments can play a role determining the outcome of AI’s development.




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Data and the artificial intelligence gold rush: Who will win? -- by Ozzeir Khan

The exponential growth of data and artificial intelligence is creating a tug-of-war between data for profit and data for the common good. In this struggle, it is fundamental that we protect our basic human data rights.




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Artificial Cervical Disc Surgery Cheaper Than Fusion

Title: Artificial Cervical Disc Surgery Cheaper Than Fusion
Category: Health News
Created: 4/29/2008 2:00:00 AM
Last Editorial Review: 4/29/2008 12:00:00 AM




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Bioartificial Kidney Cuts Death Risk, Improves Outcomes

Title: Bioartificial Kidney Cuts Death Risk, Improves Outcomes
Category: Health News
Created: 5/1/2008 2:00:00 AM
Last Editorial Review: 5/1/2008 12:00:00 AM




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Artificial Legs Now a Reality for Pets

Title: Artificial Legs Now a Reality for Pets
Category: Health News
Created: 4/29/2010 4:10:00 PM
Last Editorial Review: 4/30/2010 12:00:00 AM




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Artificial Hand 'Sees' Objects

Title: Artificial Hand 'Sees' Objects
Category: Health News
Created: 5/4/2017 12:00:00 AM
Last Editorial Review: 5/5/2017 12:00:00 AM




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Magnaporthe oryzae Auxiliary Activity Protein MoAa91 Functions as Chitin-Binding Protein To Induce Appressorium Formation on Artificial Inductive Surfaces and Suppress Plant Immunity

ABSTRACT

The appressoria that are generated by the rice blast fungus Magnaporthe oryzae in response to surface cues are important for successful colonization. Previous work showed that regulators of G-protein signaling (RGS) and RGS-like proteins play critical roles in appressorium formation. However, the mechanisms by which these proteins orchestrate surface recognition for appressorium induction remain unclear. Here, we performed comparative transcriptomic studies of Morgs mutant and wild-type strains and found that M. oryzae Aa91 (MoAa91), a homolog of the auxiliary activity family 9 protein (Aa9), was required for surface recognition of M. oryzae. We found that MoAA91 was regulated by the MoMsn2 transcription factor and that its disruption resulted in defects in both appressorium formation on the artificial inductive surface and full virulence of the pathogen. We further showed that MoAa91 was secreted into the apoplast space and was capable of competing with the immune receptor chitin elicitor-binding protein precursor (CEBiP) for chitin binding, thereby suppressing chitin-induced plant immune responses. In summary, we have found that MoAa91 is a novel signaling molecule regulated by RGS and RGS-like proteins and that MoAa91 not only governs appressorium development and virulence but also functions as an effector to suppress host immunity.

IMPORTANCE The rice blast fungus Magnaporthe oryzae generates infection structure appressoria in response to surface cues largely due to functions of signaling molecules, including G-proteins, regulators of G-protein signaling (RGS), mitogen-activated protein (MAP) kinase pathways, cAMP signaling, and TOR signaling pathways. M. oryzae encodes eight RGS and RGS-like proteins (MoRgs1 to MoRgs8), and MoRgs1, MoRgs3, MoRgs4, and MoRgs7 were found to be particularly important in appressorium development. To explore the mechanisms by which these proteins regulate appressorium development, we have performed a comparative in planta transcriptomic study and identified an auxiliary activity family 9 protein (Aa9) homolog that we named MoAa91. We showed that MoAa91 was secreted from appressoria and that the recombinant MoAa91 could compete with a chitin elicitor-binding protein precursor (CEBiP) for chitin binding, thereby suppressing chitin-induced plant immunity. By identifying MoAa91 as a novel signaling molecule functioning in appressorium development and an effector in suppressing host immunity, our studies revealed a novel mechanism by which RGS and RGS-like proteins regulate pathogen-host interactions.




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A case study for identification of organic-silt bottom sediments in an artificial lake formed in gravel alluvium in the geotourism locality of Slnecne Jazera in Senec (Bratislava, Slovakia)

This case study aims to identify the cubic capacity and geometry of the geological body of silt–organic sediments in the environment of a former gravel pit situated in a drainless depression of the alluvium of the Čierna voda River. It is located in the well-known geotourism locality of Slnečné Jazera in Senec, in the SW of Slovakia. To identify the body, electrical resistivity tomography was combined with the use of sonar. The research shows that this approach is appropriate for a number of activities that are subjects of engineering-geological investigations. The cubic capacity and geometry of specific aqueous engineering-geological environments must be determined in connection with the need for the management, control, quantification and extraction of selected sedimentary bodies. In addition, the management of sustainable development of reservoirs, sedimentation basins, industrial ponds, settling pits and natural pools for recreation (the subject of the case study) is important to control the limit amounts of sediments in such environments. The results of this study may be applied in analogous engineering-geological conditions. The drainless depression Slnečné Jazera contained a body of silt–organic sediments amounting to 23 000 m3 (41 Olympic-size pools of 25 m x 12.5 m x 1.8 m). The maximum thickness of the bottom sediments was about 6.3 m on the alluvium with an articulated morphology owing to the submerged digging of gravel. The proposed approach improved the control of extraction of the sedimentary body and optimized the engineering-geological conditions in this geotourism locality.




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Electrified artificial skin can feel exactly where it is touched

Orange-coloured gel has been made into artificial skin that can be 3D printed in any shape and detect human touch – one day it could help robots feel




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Artificial leaves made from aluminium could keep windows frost-free

In winter, the veins of leaves don’t get completely covered in frost. Mimicking this effect could be the best way to create ice-resistant surfaces




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How DeepMind's artificial intelligence is reinventing the eye exam

Join Pearse Keane to find out why the NHS is collaborating with AI company DeepMind and how deep learning could transform ophthalmology




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AI and the Future of Work: The Economic Impacts of Artificial Intelligence

Experts discuss technological inequality and the “reskilling” problem at an MIT conference



  • robotics
  • robotics/artificial-intelligence

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Oh, Internet: Artificial Intelligence Attempts To Create Additional Lyrics To Rick Astley's 'Never Gonna Give You Up'

This is a video of the result of Youtuber Lil'Alien [Agentalex9 Alt.] feeding Rick Astley's rickrolling classic 'Never Gonna Give You Up' into the Jukebox neural network developed by OpenAI to create more song lyrics for the song. The music video consists of AI upscaled gifs from the original video. If you're really interested in the technology utilized and just what the hell is going on, there are a bunch of links on the video's Youtube page HERE. I just managed to watch the whole video and I can attest that, uh, that was really something. "Something good?" Haha, now let's not get ahead of ourselves. Keep going for whatever this is.




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How DeepMind's artificial intelligence is reinventing the eye exam

Join Pearse Keane to find out why the NHS is collaborating with AI company DeepMind and how deep learning could transform ophthalmology




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Artificial Wood

The synthetic material is both robust and versatile