If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
This auspicious Durga Pooja season 2020 we are organizing the First Online Edition of the Odias in Machine Learning Conference. ଏବର୍ଷ ପବିତ୍ର ଦୁର୍ଗାପୂଜାରେ "ଯନ୍ତ୍ର-ସ୍ୱୟଂଶିକ୍ଷା ବିଷୟରେ ଓଡ଼ିଆ ମାନେ" ଶୀର୍ଷକରେ ଏକ ଅନ-ଲାଇନ କନଫରେନ୍ସ ଆୟୋଜନ କରାଯାଉଛି। The aim is to have a virtual conference of Odias in the field of AI/ML practice and policy to come together and discuss future prospects and apprehensions. କୃତ୍ରିମ ବୁଦ୍ଧିମତା (ଏ ଆଇ/AI) / ଯନ୍ତ୍ର-ସ୍ୱୟଂଶିକ୍ଷା (ଏମ୍ ଏଲ୍/ML) ରେ କାର୍ଯ୍ୟରତ, ଗବେଷଣାରତ ଓଡ଼ିଆ ମାନଙ୍କୁ ଏକତ୍ରୀକରଣ କରି ସମ୍ମିଳିତ ଭାବରେ ଭବିଷ୍ୟତର ସମ୍ଭାବନା, କାର୍ଯ୍ୟପନ୍ଥା ଓ ନୀତି ନିର୍ଧାରଣତିଆରି କରିବା ଏହି ସମ୍ମିଳନୀର ଲକ୍ଷ॥
On Nov 28th 2019, the EU parliament declared a global climate and environmental emergency. They say that all politics is local and across the world climate change seems to be coming home to roost. In the hills around San Francisco the bankrupt PG&E power company pre-emptively shutoff power to homes for several days as it worried that its ageing electrical equipment would act as a match to the parched trees and vegetation. In Europe extreme flooding has been immersing ancient towns in apocalyptic scenes. In Australia it was hard to discern the iconic Sydney Opera House for all the smoke from the raging bush fires.
French startup Exotec has raised a $90 million Series C round led by 83North, with existing investors Iris Capital and Breega also participating. Other existing investors include 360 Capital. The company has been working on semi-automated warehouses for e-commerce clients. The system is based on tiny robots called Skypods. They roam the floor and go up and down racks to pick up standardized bins of products.
Artificial Intelligence is not a new word in today's life. We all are very much familiar with the terms like artificial intelligence, machine learning, voice recognition, and robotics. This vertical has changed the way the whole world is working and implementing their tasks. Now-a-days, artificial intelligence has touched almost each and every vertical and industry, you can pick any industry and feel that some have already implemented artificial intelligence and on the other hand, some are working to enable it for their firms. You can have an example of it from the manufacturing of products, construction services, and even to the healthcare sector artificial intelligence is helping to work efficiently and effectively offering numerous benefits to this world.
Tensors are the primary data structures used by neural networks. And they are rather fascinating as well. Machine learning and by extension deep learning is an interdisciplinary field. Its interesting to note how many different people from many different fields came to same concepts. The concept of tensor is a mathematical generalization of more specific concepts, vectors and matrices in particular. In neural networks transformations, input, output etc are performed via tensors.
This is the post number 20 in the "Deep Reinforcement Learning Explained" series devoted to Reinforcement Learning frameworks. So far, in previous posts, we have been looking at a basic representation of the corpus of RL algorithms (although we have skipped several) that have been relatively easy to program. But from now on, we need to consider both the scale and complexity of the RL algorithms. In this scenario, programming a Reinforcement Learning implementation from scratch can become tedious work with a high risk of programming errors. To address this, the RL community began to build frameworks and libraries to simplify the development of RL algorithms, both by creating new pieces and especially by involving the combination of various algorithmic components.
The remote workplace has ended more than just rolling your chair over to your favorite coworker's desk. Interaction levels with HR have "basically fallen off a cliff," says Robert Toole, a partner at Kona HR Consulting. Large corps often have internal HR tech tools, but many small and medium firms are adopting them for the first time during Covid-19. Historically, HR's go-to employee pulse-check has been a lengthy annual survey. But in these…less-than-certain times, employees' lives are changing too quickly for a yearly questionnaire.
For the last year and a half I have been using Watson Studio and DSX Local as my development environments for exploring machine learning and implementing models. Inspired by Siraj Raval's video on Azure Machine Learning I decided to take the plunge and check out Microsoft's ML environment. This posting covers my first impressions, the good and the bad, and contrasts Azure ML with Watson Studio / DSX. Getting a first taste of Azure ML from a standing start is relatively easy -- here's a quick overview of the preparatory steps: As Siraj notes in his video, Microsoft touts a hybrid (on prem cloud) approach. Before getting into the experience of using Azure ML, I'd like to contrast my experience of "hybrid" Microsoft vs. IBM: Full disclosure: I am an IBM employee, but I can see pros and cons to both approaches.