Research papers on affirmative action

The School’s research output in the last decade has been both significant and considerable, as testified by our AACSB accreditation in 2011. We take great pride in the fact that our faculty have contributed more than 150 articles to reputed academic and practitioner journals.

In the past few years, ISB faculty members have published over 60 papers in top-tier journals. Our faculty have received numerous coveted research grants awarded by premier academic institutions, research centres, corporate houses and reputed foundations such as the Bill and Melinda Gates Foundation, Ford Foundation, MacArthur Foundation, WWF, McCombs School of Business, UT-Austin and others. These awards attest to the scope, depth and impact of the research conducted at the ISB.

Like any industry, writing and research require serious quality control measures and we consider that our biggest task. There are several mechanism that we have adopted over the years that help us meet all our guarantees on quality and deadlines. Every paper typed by our writers is electronically scanned by a plagiarism detection utility and later manually reviewed by a trusted editor who is likely to spot plagiarized content. Yet, the most effective tool is the thorough examination that every one of our writers had to go through at the hiring stage. There have been numerous cases of cheating on our entrance-tests and dishonest writers who cheated there would eventually cheat on the job. The end result of that war on plagiarism looks promising: Every one of our client is guaranteed 100% authentic non-plagiarized writing (money back guarantee).

Frederic joined as a Research Engineer in July 2015. Prior to DeepMind, he was a research engineer at the Foundry, a VFX software company. Frederic’s job is to accelerate research, and take the lead on the engineering side of projects. He mainly focuses on generative models, which is a family of models belonging to the field of unsupervised learning. He describes his job as trying to teach a computer to process data like the human brain: "To dream and imagine things that it has never seen before. One way to achieve this is to show the computer a lot of data and let it figure out why things look like they do.” Frederic joined DeepMind to be a part of our exciting and challenging mission to solve intelligence. His favourite DeepMind memory was watching the AlphaGo vs Lee Sedol match: “The suspense and atmosphere in the office was amazing.”

Research papers on affirmative action

research papers on affirmative action

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