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Ben Hoyle

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Can you protect Artificial Intelligence inventions at the European Patent Office? #blogpost

In recent years there has been a resurgence of interest in machine learning and so-called “artificial intelligence” systems. Much of this resurgence is based on advances in so-called “deep learning”, neural networks with multiple layers of connections.…

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Practical Problems with Natural Language Processing #amateur_deeplearning #blogpost

Recently I've been playing around with the last 15 years of patent publications as a 'big data' source. This includes over 4 million individual documents. Here I thought I'd highlight some problems I faced. I found that a lot of academic papers tend to…

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Your Patent Department in 2030 #futuregazing #nlp #newblogpost

Natural Language Processing and Deep Learning have the potential to overhaul patent operations for large patent departments. Jobs that used to cost hundreds of dollars / pounds per hour may cost cents / pence. This post looks at where I would be investing…

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Modelling Claim Language #shortpost #ipchimp #workinprogress

Playing around with natural language processing has given me the confidence to attempt some claim language modelling. This may be used as a claim drafting tool or to process patent publication data. Here is a short post describing the work in progress.…

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Resources for (Legal) Deep Learning - [new #ipchimp blog post]

This post sets out a number of resources to get you started with deep learning, with a focus on natural language processing for legal applications.

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Patent Economics - back-of-the-envelope calculations for: should I patent? #newblogpost

Often you are faced with the question: should I patent my invention? A quick, back-of-the-envelope calculation can help with this decision. CAVEAT: these are all roughly sketched out figures. This post is written in my spare time between cooking,…

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Uncertainty in IP - what is uncertain, what is unknown and what can be modelled? #ipchimp

What is uncertain, what is unknown and what can be modelled? We can know, for a given classification, past grant rates. This gives a rough a priori probability. We can also know abandonment and withdrawal rates. We cannot know how an examiner is going to…

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Making the Most of Early Patent Prosecution

Obtaining a patent is an uncertain process. It is difficult, if not impossible, to predict the prior art that may be located or the examiner you are assigned. Grant rates often vary from 5 to 50%, and it is rare for patent claims to be allowed without…

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Artificial Morality (or How Do We Teach Robots to Love) #roboticape #blogpost #randomthoughts

One Saturday morning I came upon the website 80000 Hours. The idea of the site is to direct our activity to maximise impact. They have a list of world problems here. One of the most pressing is explained as the artificial intelligence “control problem” :…

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Why is it hard to patent software? #ipchimp #blogpost

Obtaining a strong, enforceable patent that protects your software invention is often difficult. Here I will touch on some approaches to stack the odds in your favour. Why is it difficult to patent software? There are a number of hurdles that must be…
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