If you enjoyed this content, please share! As we've been at pains to describe elsewhere, hype hurts AI. Add to that a busy legal AI vendor space – some 67 "AI" products in 11 verticals by one count in 2018. Most buyers of legal AI products are left confused in terms of what to ask AI vendors in order to understand what to buy. Dollop lashings of "Robot Lawyer" articles replete stock photo of gavel wielding android and it's no wonder some AI vendors play fast and loose, whether deliberately or by omission, with their product claims. This article provides 17 basic questions you can use to test the knowledge of AI vendors (or experts) regarding AI and whether what they are selling / telling you is right for your need. This article is not meant to be exhaustive, nor demonstrate how to authoritatively benchmark one tool vs. another – hopefully we can cover that in a later post! For now, these are indicative of the types of things should try to know about AI vendors to help you make the right decisions.

FUSE Labs is an agile cross-disciplinary lab within Microsoft Experience and Devices (E D). FUSE is at the forefront of Microsoft's focus on Bots and Conversational AI. We provide a platform and services to create conversation-based experiences that enable people to interact with products and services in an intelligent manner, including speech, graphics (cards), or text, using pattern matching, state tracking and artificial intelligence techniques, such as LUIS.ai, We're growing our team and are looking for a Senior designer (IC) who is passionate about and have experience with AI, language understanding, conversation design and/or speech and creating new experiences for a wide variety of industries including Customer Support, Retail and Automotive. Are you curious about exploring new interaction paradigms, do you live and breathe to understand of customers and business objectives, and have an affinity for design that leads to cohesive experiences across multiple complex services?

Oracle says it is entitled to at least $8.8 billion in damages. The case, which the court will resolve by July, promises to reshape the U.S. legal protections for software code, particularly the interfaces that let programs and devices communicate with one another. Google contends the appeals court ruling would make it harder to use interfaces to develop new applications. The ruling "has upended the computer industry's long-standing expectation that developers are free to use software interfaces to build new computer programs," Google argued. The appeals court decision reversed a jury finding that Google's copying was a legitimate "fair use" of Oracle's Java programming language.

Newswire) GBT Technologies Inc. (OTCPINK: GTCH) ("GBT", or the "Company"), a company specializing in the development of Internet of Things (IoT) and Artificial Intelligence (AI) enabled networking and tracking technologies, including its GopherInsight wireless mesh network technology platform and its Avant! AI, for both mobile and fixed solutions, announced that it is implementing its Avant! AI technology within Epsilon EDA (Electronic Design Automation) program with the goal of achieving increased reliability for microchips. AI will be trained with IC (Integrated Circuit) reliability models, based on physics-of-failure mechanisms. These models will be classified for a wide variety of microchips types, among them microcontrollers, microprocessors, memories, power ICs and others.

We are a group of passionate technical leaders who strongly believe that Data and Artificial Intelligence are the future of today's businesses. We drive an inclusive and diverse culture that helps our customers transform their data into business insights that drive business growth. To help us achieve this goal, we are looking for Architects who can lead teams of highly technical resources driven by the power of Data and AI solutions. If these qualities describe you, the timing has never been better to contact us and come work at Microsoft! Harness your passion to lead and inspire others with the vision of improving the world through the power of data and AI.

The Ad hoc Committee on Artificial Intelligence (CAHAI), an intergovernmental committee set up by Committee of Ministers of the Council of Europe to examine the feasibility of a legal framework for the development, design and application of artificial intelligence based on the organisation s standards on human rights, democracy and the rule of law, is holding its first meeting in Strasbourg from 18 to 20 November. The committee, which brings together representatives from the organisation s 47 Member States, will have an exchange of views with leading experts on the impact of AI applications on individuals and society, the existing soft law instruments specifically dealing with AI and the existing legally binding international frameworks applicable to AI. It will also examine different national initiatives, policies and strategies, as well as the work undertaken so far by the Council of Europe and other organisations in this field. In addition, the CAHAI will discuss the content of a feasibility study on a Council of Europe legal framework on AI, which will be completed following broad multi-stakeholder consultations with the private sector and civil society. Important issues which might be addressed by the feasibility study include the need for a common definition of AI, the mapping of the risks and opportunities arising from AI, notably its impact on human rights, rule of law and democracy, as well the opportunity to move towards a binding legal framework.

Grade: G13/3 (net (basic) monthly salary* for this vacancy: EUR 12 435,12, which may be supplemented by various allowances depending on your personal circumstances) Duration of appointment: 5 years Career path: Managerial Location: Munich Application deadline: 17.11.2019 With almost 7 000 employees, the European Patent Office (EPO) is the second-largest public service institution in Europe. It supports innovation, competitiveness and economic growth across Europe through a commitment to high-quality and efficient services delivered under the European Patent Convention, its founding treaty. It has a yearly budget of EUR 2.3 billion, entirely financed by the fees paid by its users. As set out in its Strategic Plan 2023, the EPO is proud to deliver high-quality patents and efficient services that foster innovation, competitiveness and economic growth.

Civil court leaders have a newly strong interest in how artificial intelligence can improve the quality and efficiency of legal services in the justice system, especially for problems that self-represented litigants face [1, 2, 3, 4, 5]. The promise is that artificial intelligence can address the fundamental crises in courts: that ordinary people are not able to use the system clearly or efficiently; that courts struggle to manage vast amounts of information; and that litigants and judicial officials often have to make complex decisions with little support. If AI is able to gather and sift through vast troves of information, identify patterns, predict optimal strategies, detect anomalies, classify issues, and draft documents, the promise is that these capabilities could be harnessed for making the civil court system more accessible to people. The question then, is how real these promises are, and how they are being implemented and evaluated. Now that early experimentation and agenda-setting have begun, the study of AI as a means for enhancing the quality of justice in the civil court system deserves greater definition.

I didn't decide to blow the whistle on Google's deal, known internally as the Nightingale Project, glibly. The decision came to me slowly, creeping on me through my day-to-day work as one of about 250 people in Google and Ascension working on the project. When I first joined Nightingale I was excited to be at the forefront of medical innovation. Google has staked its claim to be a major player in the healthcare sector, using its phenomenal artificial intelligence (AI) and machine learning tools to predict patterns of illness in ways that might some day lead to new treatments and, who knows, even cures. Here I was working with senior management teams on both sides, Google and Ascension, creating the future.

A research collaboration has achieved exaflop performance on the Summit supercomputer with a deep learning application used to model subsurface flow in the study of nuclear waste remediation. Their achievement, which will be presented during the "Deep Learning on Supercomputers" workshop at SC19, demonstrates the promise of physics-informed generative adversarial networks (GANs) for analyzing complex, large-scale science problems. The concept of physics-informed GANs is to encode prior information from physics into the neural network. This allows you to go well beyond the training domain, which is very important in applications where the conditions can change. GANs have been applied to model human face appearance with remarkable accuracy.