Across industries, machine learning is augmenting and in some cases taking the place of human decision-making. In recruiting, legal sentencing, loan approvals and even college admissions, algorithms now play a part in determining candidate selection. The science behind AI provides a more efficient approach to complex decision-making. However, for those without a PhD in mathematics … continue reading
Google has proposed a new approach to natural language understanding architectures beyond a fixed-length context. Transformer-XL aims to make long-range dependence more practical in neural networks by using attention models. According to the company, long-range dependence is the contextual ability humans have to parse information that depends on something they’d read much earlier in a … continue reading
The Cloudera and Hortonworks merger that was first announced in October officially completed this month, paving the way for a new Cloudera. As part of the merger, the former rivals will live under the Cloudera name and offer an enterprise data cloud capable of supporting hybrid and multi-cloud deployments as well as provide machine learning … continue reading
As artificial intelligence is being implemented into advanced systems like self-driving cars and autonomous robots, MIT and Microsoft researchers want to make sure they are covering all their bases. The researchers are tackling what they call “blind spots” of artificial intelligence to provide better security and safety of AI-implemented systems. While systems like self-driving cars … continue reading
GitHub has released machine learning data from its 2018 State of the Octoverse report. According to the report, the top programming languages for machine learning on GitHub include Python, C++, JavaScript, Java and C#. In addition, the team took a look at the top machine learning projects on GitHub, which included TensorFlow, SciKit-Learn, spaCy, Julia … continue reading
While businesses are looking for the latest and greatest technology trends to hop on this year, Microsoft is trying to look at the bigger picture. The company’s president and chief legal officer Brad Smith released his top 10 technology developments for 2019 as well as the societal impact the developments will have. “It was a … continue reading
As the end of 2018 approached, many artificial intelligence technologies like visual testing, chatbots and language recognition had matured to the point of ubiquity. Two years since SD Times’ “Year of AI,” the conversations around AI and machine learning have shifted further and further away from potential applications and surprising new uses of the tech. … continue reading
The IEEE Computer Society (IEEE-CS) has released its top 10 technology trends for the upcoming year. The trends are based on what the technology experts believe will be the most widely adopted and meant to forecast the future for organizations. “The Computer Society’s predictions, based on an in-depth analysis by a team of leading technology … continue reading
Six months after Google first detailed its seven principles for AI, the company is expanding on that effort with additional initiatives that will help it live up to its promise. In an effort to encourage teams within the company to consider how the AI principles impact their projects, Google has established several initiatives. It launched … continue reading
Facebook has been working on its own natural language processing (NLP) framework for overcoming rapid experimentation and large-scale deployment challenges. PyText is a library based on the company’s open-source deep learning framework PyTorch. In an effort to help developers build and deploy NLP systems, the company has decided to also open source the PyText framework … continue reading
Uber’s open-source distributed training framework Horovod is joining the LF Deep Learning Foundation to support its work in artificial intelligence, machine learning and deep learning. The LF Deep Learning Foundation is a umbrella project under the Linux Foundation. “The LF Deep Learning Foundation is focused on building an ecosystem of AI, deep learning and machine … continue reading
Knowledge is the foundation of intelligence— whether artificial intelligence or conventional human intellect. The understanding implicit in intelligence, its application towards business problems or personal ones, requires knowledge of these problems (and potential solutions) to effectively overcome them. The knowledge underpinning AI has traditionally come from two distinct methods: statistical reasoning, or machine learning, and … continue reading
