Making the edge smarter

In a recent post well worth reading, my colleague, Teresa Tung, makes a compelling argument that powerful edge computing is a key to the future of cloud: a key component of what she calls, the new compute continuum which runs from cloud to edge. One challenge is that while there are some lighter workloads that are relatively easy to move to edge hardware, some of the most exciting prospects will require moving computationally-intensive AI tasks — such as voice recognition, visual processing, , robotic control — to the edge. …


A column in ACM Interactions by researchers at Accenture and Carnegie Mellon discusses how UX designers can leverage AI to improve effectiveness of enterprise applications

While AI and HCI grew up as very different disciplines, they are becoming increasingly intertwined: HCI for AI systems and AI tools has become an increasingly important key to successful deployments, and at the same time, AI has become an increasingly important element of UIs and UXs.

This latter trend (AI for HCI) takes a number of forms. Advanced interfaces, involving computer vision and voice recognition are getting a lot of attention, but in the short-to-medium term, an even bigger impact may be the embedding AI in traditional GUI interfaces. Adaptive User Interfaces (AUIs) that leverage AI to enhance the efficiency, usability, and effectiveness of GUI applications have been increasingly common in consumer applications, and are poised to become more ubiquitous in the enterprise, but designing them and expanded design process and mindset than traditionally employed in enterprise UX design.


Accenture Labs mentions in media

My Accenture Labs colleague, Tim Shea, and I recently discussed the potential for #neuromorphic computing in the automotive industry with Sara Castellanos from The Wall Street Journal.

We and others interviewed discuss the key benefits of neuromorp

hic computing for the automotive industry, including power efficiency, data efficiency, and responsiveness.

Our own focus has not been on improving autonomous driving, though we think that’s also interesting. It is on leveraging edge AI to improve the driver and passenger experience by making the vehicle easier and more natural to interact with.

Check out her article on why automakers are exploring this…


Neuromorphic Demo Videos

Accenture’s session at Intel Labs Day

In December 2020, our team of neuromorphic researchers from Accenture Labs was pleased to participate in the Intel Labs Day Press Event, where we briefly discussed our perspective on neuromorphic computing, and presented three of the proof-of-concepts that we’ve been working on with clients and collaborators from industry and academia.

Accenture Labs joined the Intel Neuromorphic Research Community as one of the first enterprise partners because my team and I see tremendous promise in using neuromorphic technologies to deliver responsive, adaptive, energy-efficient AI at the edge. …

Alex Kass

Proven R&D Leader | AI, intelligent interfaces, collaboration, Crowdsourcing, human-robot teaming, & the future of work.

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