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10 Jobs That Should Emerge to Help Enterprises Advance AI and ML

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In order to unlock the full potential of artificial intelligence and machine learning for the enterprise, new roles must emerge.


Intel, Maricopa Community Colleges Launch First AI Degree Program

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The first two courses in the Artificial Intelligence & Machine-learning (AIM) program are expected to launch online at Estrella Mountain Community …


Graph Theory & Machine Learning in Neuroscience

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Graph theory is the study of graphs, mathematical structures that model the relationships between objects. In this example, we see a social network. A line represents a friendship between the people that it connects. In more technical terms, every person would be called a "node" or "vertex," while every line that connects would be called a "link" or "edge." So, this graph has 5 vertices and 7 edges.



DeepMind researchers propose rebuilding the AI industry on a base of anticolonialism

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Researchers from Google's DeepMind and the University of Oxford recommend that AI practitioners draw on decolonial theory to reform the industry, put ethical principles into practice, and avoid further algorithmic exploitation or oppression. The researchers detailed how to build AI systems while critically examining colonialism and colonial forms of AI already in use in a preprint paper released Thursday. The paper was coauthored by DeepMind research scientists William Isaac and Shakir Mohammed and Marie-Therese Png, an Oxford doctoral student and DeepMind Ethics and Society intern who previously provided tech advice to the United Nations Secretary General's High-level Panel on Digital Cooperation. The researchers posit that power is at the heart of ethics debates and that conversations about power are incomplete if they do not include historical context and recognize the structural legacy of colonialism that continues to inform power dynamics today. They further argue that inequities like racial capitalism, class inequality, and heteronormative patriarchy have roots in colonialism and that we need to recognize these power dynamics when designing AI systems to avoid perpetuating such harms.


MIT-Designed Robot Could Be Used To Disinfect Schools, Grocery Stores With UV-C Light

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MIT has designed a robot that is capable of disinfecting the floor of a 4,000-square foot warehouse in only half an hour, and it could one day be used to clean your local grocery store or school. The university's Computer Science and Artificial Intelligence Laboratory (CSAIL) worked with Ava Robotics -- a company that focuses on creating telepresence robots -- and the Greater Boston Food Bank (GBFB) to develop a robot that uses a custom UV-C light to disinfect surfaces and neutralize aerosolized forms of the coronavirus. Development on this project began in early April, and one of the researchers said that it came in direct response to the pandemic. The results have been encouraging enough that the researchers say that autonomous UV disinfection could be done in other environments such as supermarkets, factories and restaurants. Covid-19 mainly spreads via airborne transmission, and it is capable of remaining on surfaces for several days.


Using Patent Analytics To See Why Amazon Bought Zoox

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Aicha Evans who is the CEO of the self-driving technology development company Zoox, talks about ... [ ] autonomous cars during a keynote session at the Amazon Re:MARS conference on robotics and artificial intelligence at the Aria Hotel in Las Vegas, Nevada on June 6, 2019. On June 26th, Amazon announced via their blog they are acquiring autonomous ride-hailing vehicle startup Zoox. Financial terms of the acquisition were disclosed. However, the Financial Times says Amazon paid $1.2B for Zoox. Launched in 2014, Zoox began with the vision of producing zero-emissions vehicles for autonomous ride-hailing services.


PrintSyst launches pre-printing analysis tool powered by artificial intelligence

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PrintSyst.ai has launched its latest proprietary artificial intelligence (AI) engine which aims to improve the consistency and reliability of 3D printed parts. The 3DP AI-Perfecter is a pre-printing evaluation tool and has been designed to allow companies in the aerospace, defence and automotive industries to produce additively manufactured parts with greater repeatability and reduced labour, time and cost. It believes analysis of parts before the physical 3D printing to be crucial and a process that requires highly-skilled engineers to carry out, while also baring significant risks to a company's reputation should errors be made. PrintSyst has therefore spent the last couple of years focusing on artificial intelligence and leveraging the technology to create a platform that, the company claims, has enabled instant, automatic and accurate pre-printing part analysis that can save up to 99% of the preparation time and cost. "It is a scalable tool and using it is extremely user friendly and simple," commented Itamar Yona, PrintSyst's CEO. "We support multiple 3D printing technologies and our customers enjoy automatic AI-based printing recommendations.


Using Mathematical Modeling to Simulate an Epidemic

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In this article, we'll explore and visualize a classic mathematical model used for modeling the spread of infectious disease: the SIR model. Our goal is to model how these compartments fluctuate over time, and so we'll consider them to be functions with respect to time: The SIRD model considers another compartment (D) for deceased individuals. In the SIR model, the transition between compartments takes the following path: susceptible infectious recovered. Each transition happens at a different rate. The rate at which susceptible individuals come into contact with infectious individuals, thus contracting the disease, is called the infectious rate (β).