Huge social questions like "how are men and women perceived differently" cannot be easily answered without analyzing rhetoric on a massive scale. But what if we could analyze millions of words, all at once, to get a sense of what patterns emerge in how men and women were described? It wasn't until recently that machine learning algorithms could help researchers do just that. In a recent study, Dr. Isabelle Augenstein, a computer scientist at the University of Copenhagen, worked with fellow researchers from the United States to analyze 11 billion words in an effort to find out whether there was a difference between the adjectives used to describe men and women in literature. The researchers examined a dataset of 3.5 million books, all published in English between 1900 to 2008.

During the lunch service, attendees will work in groups at their tables to identify issues within proposed hypotheticals. Some issues may be practical in nature while others address policy considerations that are currently being evaluated by the USPTO. This panel will address techniques for and considerations in planning an IP strategy including training data, ML models, and output data. This panel will discuss best practices to address issues of inventorship, adequacy of disclosure, subject matter eligibility, and more. During the lunch service, attendees will work in groups at their tables to identify issues within proposed hypotheticals.

Ensuring compliance with various laws and regulations is of utmost priority for financial institutions. Traditional methods in this area have been shown to be inefficient. Manual processing does not scale well. Automated efforts are hindered due to the lack of formalization of domain knowledge and problems of integrating such knowledge into software systems. In this work we propose an approach to tackle these issues by encoding them into software contracts using a Controlled Natural Language. In particular, we encode a portion of the Money Market Statistical Reporting (MMSR) regulations into contracts specified by the clojure.spec framework. We show how various features of a contract framework, in particular clojure.spec, can help to tackle issues that occur when dealing with compliance: validation with explanations and test data generation. We benchmark our proposed solution and show that this approach can effectively solve compliance issues in this particular use case.

Newswire) Patriot One Technologies Inc., (TSX: PAT) (OTCQB: PTOTF) (FRANKFURT: 0PL) ("Patriot One" or the "Company"), developer of the PATSCAN Multi-Sensor Covert Weapon Detection Platform ("PATSCAN Platform"), is pleased to announce the acquisition of XTRACT Technologies Inc. ("XTRACT") and all its related interests, assets, and intellectual property for consideration of $6,000,000 and the issuance of 9,422,956 Patriot One common shares (the "Consideration Shares") to XTRACT's former shareholders (the "Transaction"). Subject to certain exceptions based on the business of the Company or the performance of the Company's common share price, the Consideration Shares will be subject to escrow restrictions and released on a quarterly basis over the next twelve consecutive fiscal quarters of Patriot One. The Transaction follows demonstrated success of an ongoing collaborative project between the two firms that was announced in late July 2019. The XTRACT acquisition is part of an ongoing strategic initiative by the Company to bring together leading-edge technologies and services that will enhance the power of its PATSCAN Platform, which offers a layered, multi-sensor approach to concealed threat and disturbance detection. "Just over a month ago, we announced a development project with XTRACT, and during this period we've already seen great progress in significant opportunities for enhanced detection accuracy" said Martin Cronin, Patriot One's CEO and President.

The Bar Council has turned to artificial intelligence to help barristers report bullying and harassment quickly and anonymously. Talk to Spot, a smatphone app developed by Spot, a US tech company, will enable barristers to talk through and record contemporaneously inappropriate behaviour at work. Barristers can choose to save the report for their own records, or print the report and sent it to their chambers, employer, other bodies or the Bar Council. The Bar Council says no human, nor the Spot team, will see what a barrister discusses with Spot unless they decide to submit a report, which they can do anonymously. A global study led by the International Bar Association, published earlier this year, showed that bullying and harassment is endemic in the law.

As attorneys, we are all acutely aware that we must adapt to the ever-changing technology landscape to stay relevant. Although embracing automation is important for all lawyers, it is particularly critical for solo attorneys and those in Small Law, simply because technology enables small firm attorneys to do more with less. For example, e-discovery, contract drafting, legal research and other such tasks could easily consume an attorney's entire workload if not automated. For small and solo attorneys with limited capacity, dedicating this kind of time to this work is simply not an option. And with few staff, artificial intelligence, or AI, can be the pseudo staff member that helps small firms run smoothly.

In this age of technology, your software choices can make a huge difference in the success of your solo law firm. The wrong options can leave you under-resourced and overly frustrated, which translates into lost productivity and diminished profits for your law practice. Artificial Intelligence (AI) is changing the landscape of the business community, and savvy lawyers have found that these tech advancements can create a viable customer service channel for their law firms. If you aren't familiar with chatbots, they are computer programs designed to deliver an interactive customer experience without actual human interaction. Law firms often use chatbots on their websites to answer visitors' questions and advance their communications with the firm.

CAUTIONARY DISCLAIMER STATEMENT: This news release contains forward-looking statements relating to product development, licensing, commercialization and regulatory compliance issues and other statements that are not historical facts. Forward-looking statements are often identified by terms such as "will", "may", "should", "anticipate", "expects" and similar expressions. All statements other than statements of historical fact, included in this release are forward-looking statements that involve risks and uncertainties. There can be no assurance that such statements will prove to be accurate and actual results and future events could differ materially from those anticipated in such statements. Important factors that could cause actual results to differ materially from the Company's expectations include the failure to satisfy the conditions of the relevant securities exchange(s) and other risks detailed from time to time in the filings made by the Company with securities regulations.

As we move towards truly harnessing the power of AI in the built environment we must focus on the benefits and remain mindful of the risks. As we prepare for the future, the work we do with AI and understanding our need of it will largely depend on our role within the built environment. You need to ask yourself: what do I currently do? How will my tasks change? And what tools will be open to me in the future?

Legal AI efficacy report published by Blickstein Group cuts through market hype in industry's first independent review of AI-Powered Legal Tools . Blickstein Group has launched its Legal AI Efficacy Report, an independent analysis that evaluates the effectiveness of 50 AI-powered solutions currently available across eight different legal tech categories. The report was launched at the legal tech gathering ILTACON in Orlando, USA. Based on research conducted over the past six months, the firms says the report provides the market with an unbiased, holistic look at AI products on the market, so that corporate law department and law firm leaders can make educated decisions based on their business goals. They stress the report is written for user, with no vendors paying to be included or to influence the analysis.