Target Audience: Content creators, writers, bloggers, marketers, and businesses who want to optimize their content creation process and increase productivity. Reframe your prompts with assistants to generate more powerful results. Customizable presets and priority support to streamline your workflow. What would you like to generate? Target Audience: Content creators, writers, bloggers, marketers, and businesses who want to optimize their content creation process and increase productivity.

Been a Senior Software engineer or Technical Lead. A polyglot developer and can write proficient code in 2 mainstream programming languages, and you are genuinely interested in working with syntax trees, code transformations, lexical parsing, etc. Can articulate complex technical problems clearly using written and verbal communication, and set a vision that gets your team members excited. Can articulate complex business problems clearly using written and verbal communication, and set a vision that gets your team members excited. Have experience with building tools where the intended user are developers; this is an advantage but not a requirement.

One of the bigger trends in enterprise software has been the emergence of startups building tools to make the benefits of artificial intelligence technology more accessible to non-tech companies. Today, one that has built a platform to apply power of machine learning and natural language processing to massive documents of unstructured data has closed a round of funding as it finds strong demand for its approach. Eigen Technologies, a London-based startup whose machine learning engine helps banks and other businesses that need to extract information and insights from large and complex documents like contracts, is today announcing that it has raised $37 million in funding, a Series B that values the company at around $150 million – $180 million. The round was led by Lakestar and Dawn Capital, with Temasek and Goldman Sachs Growth Equity (which co-led its Series A) also participating. Eigen has now raised $55 million in total.

For your next project on GitHub, take advantage of the service's powerful API to meet your unique development requirements. This practical guide shows you how to build your own software tools for customizing the GitHub workflow. Each hands-on chapter is a compelling story that walks you through the tradeoffs and considerations for building applications on top of various GitHub technologies. If you're an experienced programmer familiar with GitHub, you'll learn how to build tools with the GitHub API and related open source technologies such as Jekyll (site builder), Hubot (NodeJS chat robot), and Gollum (wiki).

In January, Liz O'Sullivan wrote a letter to her boss at artificial intelligence startup Clarifai, asking him to set ethical limits on its Pentagon contracts. WIRED had previously revealed that the company worked on a controversial project processing drone imagery. O'Sullivan urged CEO Matthew Zeiler to pledge the company would not contribute to the development of weapons that decide for themselves whom to harm or kill. At a company meeting a few days later, O'Sullivan says, Zeiler rebuffed the plea, telling staff he saw no problems with contributing to autonomous weapons. Clarifai did not respond to a request for comment.

In January, Liz O'Sullivan wrote a letter to her boss at artificial intelligence startup Clarifai, asking him to set ethical limits on its Pentagon contracts. WIRED had previously revealed that the company worked on a controversial project processing drone imagery. O'Sullivan urged CEO Matthew Zeiler to pledge the company would not contribute to the development of weapons that decide for themselves whom to harm or kill. At a company meeting a few days later, O'Sullivan says, Zeiler rebuffed the plea, telling staff he saw no problems with contributing to autonomous weapons. Clarifai did not respond to a request for comment.

In January, Liz O'Sullivan wrote a letter to her boss at artificial intelligence startup Clarifai, asking him to set ethical limits on its Pentagon contracts. WIRED had previously revealed that the company worked on a controversial project processing drone imagery. O'Sullivan urged CEO Matthew Zeiler to pledge the company would not contribute to the development of weapons that decide for themselves whom to harm or kill. At a company meeting a few days later, O'Sullivan says, Zeiler rebuffed the plea, telling staff he saw no problems with contributing to autonomous weapons. Clarifai did not respond to a request for comment.

Streamlit, a new machine learning startup from industry veterans, who worked at GoogleX and Zoox, launched today with a $6 million seed investment and a flexible new open source tool to make it easier for machine learning engineers to create custom applications to interact with the data in their models. The seed round was led by Gradient Ventures with participation from Bloomberg Beta. A who's who of solo investors also participated including Color Genomics co-founder Elad Gil, #Angels founder Jana Messerschmidt, Y Combinator partner Daniel Gross, Docker co-founder Solomon Hykes and Insight Data Science CEO Jake Klamka. As for the product, Streamlit co-founder Adrien Treuille, says as machine learning engineers he and his co-founders were in a unique position to understand the needs of engineers and build a tool to meet their requirements. Rather than building a one-size-fits-all tool, the key was developing a solution that was flexible enough to serve multiple requirements, depending on the nature of the data the person is working with.

Nasdaq might be on the cusp of giving institutional investors an analytical edge on trading hundreds of crypto assets. According to a person familiar with the company's plans, the U.S. stock exchange is preparing to add tools for predicting the price movements of crypto assets to its Analytics Hub. The hub, launched last year, draws on machine learning and natural language processing (NLP) capabilities to parse through social media and other alternative data sources to give investors a better way to assess market movement. To date, the Analytics Hub has focused on traditional assets, but the addition of crypto seems to be another signal of Wall Street's growing interest in the nascent sector. Bill Dague, Nasdaq's head of alternative data, told CoinDesk that "given the abundance of interest, we are exploring cryptocurrency related datasets." "Whether or not we launch a crypto-related product remains to be seen."

My current research trajectory centers on what I call learning programming at scale. Decades of prior research have worked to improve how computer programming is taught in traditional K–12 and university classrooms, but the vast majority of people around the world--children in low-income areas, working adults with full-time jobs, the fast-growing population of older adults, and millions in developing countries--do not have access to high-quality classroom learning environments. Thus, the central question that drives my research is: How can we better understand the millions of people from diverse backgrounds who are now learning programming online and then design scalable software to support their learning goals? One critical prerequisite for improving how programming is taught is to understand why and how people are currently learning and what obstacles they face. To work toward this goal, I have been studying traditionally under-represented learner populations and non-traditional learning environments.