Originally published on Towards AI the World's Leading AI and Technology News and Media Company. If you are building an AI-related product or service, we invite you to consider...

Your work will directly impact millions of our customers in the form of products and services, as well as contributing to the wider research community. You will gain hands on experience with Amazon's heterogeneous text and structured data sources, and large-scale computing resources to accelerate advances in language understanding.We are hiring primarily in Conversational AI / Dialog System Development areas: NLP, NLU, Dialog Management, NLG.This role can be based in NYC, Seattle or Palo Alto.Inclusive Team CultureHere at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences.Work/Life BalanceOur team puts a high value on work-life balance.

With the advancement of technology, artificial intelligence and machine learning (AI/ML) is on the verge of becoming an integral part of every industry, and education is no exception. "With AI being enabled, learning can be customised for students. In the last few years, due to the emergence of machine learning, data has been treated as a prime knowledge resource and it is valued. Simultaneously, tech-based industry has upped the demand for AI/ML rapidly, therefore more students are taking up the course due to good career opportunities," Rajesh Khanna, professor, president, NIIT University, said. Besides courses, it is has been observed that the such technology is being leveraged by ed-tech platforms as an business strategy enhancing tool.

This photo provided by Axon Enterprise depicts a conceptual design through a computer-generated rendering of a taser drone. Axon Enterprise, Inc. via AP hide caption This photo provided by Axon Enterprise depicts a conceptual design through a computer-generated rendering of a taser drone. Taser developer Axon said this week it is working to build drones armed with the electric stunning weapons that could fly in schools and "help prevent the next Uvalde, Sandy Hook, or Columbine." But its own technology advisers quickly panned the idea as a dangerous fantasy. The publicly traded company, which sells Tasers and police body cameras, floated the idea of a new police drone product last year to its artificial intelligence ethics board, a group of well-respected experts in technology, policing and privacy. Some of them expressed reservations about weaponizing drones in over-policed communities of color.

This Specialization is intended for beginners seeking to enter the artificial intelligence world. Through five courses, you will cover artificial intelligence technical groundings (including machine learning and technologies), ethical and legal issues, which will give you a clear picture of what artificial intelligence is and what opportunities artificial intelligence will provide in the next future.

In this course, you will learn NLP (natural language processing) with deep learning. This course will teach you word2vec and how to implement word2vec. You will also learn how to implement GloVe using gradient descent and alternating least squares. This course uses recurrent neural networks for named entity recognition. Along with that, you will learn how to implement recursive neural tensor networks for sentiment analysis. Let's see the topics covered in this course-

Instrumental variable (IV) is a powerful approach to inferring the causal effect of a treatment on an outcome of interest from observational data even when there exist latent confounders between the treatment and the outcome. However, existing IV methods require that an IV is selected and justified with domain knowledge. An invalid IV may lead to biased estimates. Hence, discovering a valid IV is critical to the applications of IV methods. In this paper, we study and design a data-driven algorithm to discover valid IVs from data under mild assumptions. We develop the theory based on partial ancestral graphs (PAGs) to support the search for a set of candidate Ancestral IVs (AIVs), and for each possible AIV, the identification of its conditioning set. Based on the theory, we propose a data-driven algorithm to discover a pair of IVs from data. The experiments on synthetic and real-world datasets show that the developed IV discovery algorithm estimates accurate estimates of causal effects in comparison with the state-of-the-art IV based causal effect estimators.

Internet of Things (IoT) incorporates internet-connected devices or sensors that have the potential to collect millions and billions of Gigabytes of data in real-time. Without any human intervention, the data in IoT is transferred among the various devices over a wireless network. IoT devices are the most significant drivers of digital transformation, new applications, data-driven optimization, innovation and streaming revenue across various sectors. Usually, IoT devices are programmed to handle specific tasks, whereas, robots are designed to learn from the environment while reacting to unforeseen conditions. The technologies behind robotics are Artificial Intelligence (AI) and Machine Learning (ML).

The 39th edition of the IEEE International Conference on Robotics and Automation (ICRA) took place at the Pennsylvania Convention Center in Philadelphia (USA) and online May 23-27. ICRA 2022 brought together the world's top researchers and companies to share ideas and advances in the fields of robotics and automation. Nearly 8,000 participants from academia and industry, including 4700 in person, from a total of 97 countries, joined the largest conference in robotics. Indeed, these figures reflect the evolution of the field in the last 34 years, with the last ICRA in Philadelphia (1988) only welcoming around 300 participants and a few exhibitors. "We were thrilled to see the robotics community respond so positively to the first in-person ICRA conference since the pandemic started," ICRA 2022 General Co-Chair George J. Pappas (University of Pennsylvania) commented.

Snigdha Roy is a teen hacker who is convinced that AI can teach us about our humanity. The high school student says with the right dose of curiosity, we can learn about AI systems and use them for social good. Working with notable institutions like the Stanford Natural Language Processing (NLP) group, she built an AI therapist and technology aimed at understanding how the pandemic has changed our emotions. Who runs the largest high school hackathon in the Northeast?! Yeah, that's also Snigdha. Not to mention, she was a selected scholar at Kode With Klossy and is the former CEO of Greening Forward.