Ethical and Regulatory Questions Facing AI

At work, as part of a reading group, I had the chance to spend some time reading about some challenges facing AI regarding ethics and regulation. Despite having worked with and thought about AI and Machine Learning before, I hadn’t spent much time thinking about the ethical and legal challenges facing the field, so it was a lot of fun to do some reading in the area. I was mostly interested in the more short-term challenges of the space in the coming years, so I didn’t get into the more long-term concerns about things like Artificial General (Super) Intelligence or weaponized AI.

Regardless of area of expertise, most of us are probably already aware of the momentum around Artificial Intelligence (AI). Between self-driving cars, home assistants (Alexa, Google Home, et al.), and the growing capabilities of our mobile devices, there is no escaping the ever looming presence of AI in our lives.

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QISKit ACQUA Bridges Classical, Quantum Computing

Working with real quantum computers just got easier for experts in chemistry, artificial intelligence, and optimization. Building on QISKit, our open source quantum information science kit for software development, we’ve released ACQUA — Algorithms and Circuits for Quantum Applications. This new open source software allows classical computer applications to send complex operations to be run on quantum computers, over the cloud.

Let me start by explaining the quantum software stack, and where QISKit and ACQUA fit. At the lowest level is the hardware where the qubits sit at the very cold temperature of 15 mK. The qubits receive microwave pulse signals for a calculation, which have been translated and converted from OpenQASM, IBM Q’s low-level assembly language, by QISKit. Users of the free IBM Q Experience 16 qubit system can write programs directly in OpenQASM, but it’s easier to use libraries in higher level languages. That’s where QISKit comes in. It’s a front-end interface that works with Python (read IBM Fellow Dr. Jay Gambetta’s article about QISKit’s recent upgrade).

Source de l’article sur DZONE

This blog post was originally published on IT Pro Portal

Academia and industry, at first glance, appear to be strange bedfellows. One focuses on the theoretical and conceptual, whilst the other is driven by the practicalities of deadlines, goals, and ultimately, profit.

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We have talked a lot about chatbots for customer support in our previous pieces. And a scalable, efficient, and cost-effective human+bot hybrid system has always been our philosophy.

In the past few months, we have released a lot of helpful bots to help you accelerate your customer support efforts. In this piece, I am going to walk you through steps to integrate your own Dialogflow custom bot in Kommunicate.

Source de l’article sur DZONE