Deep Java Library: New Deep Learning Toolkit for Java Developers

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At the 2019 AWS re:Invent conference, Amazon released Deep Java Library (DJL), an open-source library with Java APIs to simplify training, testing, deploying, and making predictions with deep-learning models. While Java remains the first or second most popular programming language since the late 90s, Python is the most used language for machine learning, with numerous resources and deep-learning frameworks. DJL aims to make deep-learning open-source tools accessible to Java developers, using familiar concepts and intuitive APIs. Java developers can use their favorite IDE with DJL or Jupyter Notebook-based code execution for Java. DJL is framework agnostic; it abstracts away commonly used deep-learning functions, using Java Native Access (JNA) on top of existing deep-learning frameworks, currently providing implementations for Apache MXNet and TensorFlow.


Laws Could Make Washington Leader In AI Regs

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With an array of bills brought forward by lawmakers, Washington state could become a leader in artificial intelligence regulation.


How Machine Learning Uncovers Opportunities For Business Optimization

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With ever more data being generated across modern businesses, companies are looking for actionable intelligence to drive optimization, increase margins and avoid supply chain distributions. The sheer volume of data can make it difficult to see trends; this is where machine learning is a revolution for business intelligence. Machine learning is a type of artificial intelligence (AI) that powers computers with the ability to learn without being explicitly programmed. It excels at finding anomalies, patterns and predictive insights in large datasets -- the data lakes -- by reporting on historical data as well as deploying models built to forecast likely outcomes. In particular, machine learning automates "what if" analysis by modeling a range of scenarios and prescribing actions that can help the organization achieve optimal results.


How Machine Learning Uncovers Opportunities For Business Optimization

#artificialintelligence

With ever more data being generated across modern businesses, companies are looking for actionable intelligence to drive optimization, increase margins and avoid supply chain distributions. The sheer volume of data can make it difficult to see trends; this is where machine learning is a revolution for business intelligence. Machine learning is a type of artificial intelligence (AI) that powers computers with the ability to learn without being explicitly programmed. It excels at finding anomalies, patterns and predictive insights in large datasets -- the data lakes -- by reporting on historical data as well as deploying models built to forecast likely outcomes. In particular, machine learning automates "what if" analysis by modeling a range of scenarios and prescribing actions that can help the organization achieve optimal results.


How Artificial Intelligence is progressing in mental healthcare

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According to the report, suicide is among the top 20 leading causes of death worldwide. Over the years, Artificial Intelligence (AI) tools have been used to fill gaps in mental health care: be it the diagnosis or detection of the early signs of mental health issues. Now, researchers at the University of South Carolina's Viterbi School of Engineering (USC's VSE) have developed an algorithm that can identify individuals in real-life social groups who can be trained as gatekeepers to spot suicidal tendencies. "Gatekeeper training" is an intervention training method approved by WHO. A suicide prevention gatekeeper can be any community member.


No Turning Back: New Facial Recognition Database May Force Legal Reckoning Legaltech News

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A new law enforcement app called Clearview is taking a leap into the legal unknown by creating one of the biggest known facial recognition databases around, powered by 3 billion public pictures pulled from social media.


The Artificial Intelligence Apocalypse (Part 1)

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Regarding our morality on how we treat others, which are self-aware, hereby some remarks: 1. Some animal species are self-aware, means recognizing themselves in a mirror, e.g. Even if we acknowledge, there are other species with self-awareness, we still treat them like animals, means less consideration than slaves, because we have no interest to communicate with them as equals. Hence we have self-declared ourselves as most important, others have to comply. WE and only WE ALONE are the dominant species on this planet and this hard obtained achievement must be defended under all circumstances, at all costs.


RLgraph: Modular Computation Graphs for Deep Reinforcement Learning

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Reinforcement learning (RL) tasks are challenging to implement, execute and test due to algorithmic instability, hyper-parameter sensitivity, and heterogeneous distributed communication patterns. We argue for the separation of logical component composition, backend graph definition, and distributed execution. To this end, we introduce RLgraph, a library for designing and executing reinforcement learning tasks in both static graph and define-by-run paradigms. The resulting implementations are robust, incrementally testable, and yield high performance across different deep learning frameworks and distributed backends.


The Grammys go high-tech with IBM and artificial intelligence

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Along with Versace and Jean Paul Gaultier, artificial intelligence and Natural Language Processing will be important accessories on the 62nd Annual Grammys' red carpet. IBM will enhance the red carpet livestream with Grammy Insights with Watson this Sunday at the Staples Center in Los Angeles. The team at IBM took over 18 million documents and data sources on this year's Grammy nominees and distilled them down to the most interesting nuggets about each of the artists to create a modern day version of the 90s' "Pop Up Video." When an artist is on the red carpet, that's when the artificial intelligence (AI) will kick in. This includes Lizzo, who has eight nominations, Lil Nas X with six nominations, and Billie Eilish with nominations in the top four categories, according to CBS News.


German football league Bundesliga teams with AWS to improve fan experience – TechCrunch

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Germany's top soccer (football) league, Bundesliga, announced today it is partnering with AWS to use artificial intelligence to enhance the fan experience during games. Andreas Heyden, executive vice president for digital sports at the Deutsche Fußball Liga, the entity that runs Bundesliga, says that this could take many forms, depending on whether the fan is watching a broadcast of the game or interacting online. "We try to use technology in a way to excite a fan more, to engage a fan more, to really take the fan experience to the next level, to show relevant stats at the relevant time through broadcasting, in apps and on the web to personalize the customer experience," Heyden said. This could involve delivering personalized content. "In times like this when attention spans are shrinking, when a user opens up the app the first message should be the most relevant message in that context in that time for the specific user," he said.