k•d•m @ Electronica 2022
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kdm semi consulting (k•d•m) will be present at this year's Electronica in Munich, the world's leading trade fair and conference for electronics.
I am looking forward to meeting many business friends after the long pandemic break to inform you about my current consulting activities and to present you the latest status of k•d•m's software products: Shibui-IT™ Business Intelligence & Shibui-IT™ Opportunity Tracking Tool (SOT²).
Just send me a PN
to my email address klaus@kdmsemiconsulting.com or
to my German Cell# +49 1520 6377817
k•d•m is very happy to announce that three of its advisory clients:
Solidstate.ai
Blumind.ai and
StarIC
have been granted a speaker slot during this year's Electronica.
We would like to invite you to attend the following presentations:
Rise in the use of Artificial Intelligence in Manufacturing
17.11.2022 between 10:30am - 11:00am
Hall B5 | Stand 451
Speaker: Abhi Rampal, Founder and CEO, Canada
This to be a chance to meet SolidStateAI in person to discuss on potential help in enhancing your production throughput. Let k•d•m know if you are interested in meeting with Abhi for an introduction.
The Future of Compute is Analog.
16.11.2022 from 1:00pm - 1:30pm
Hall B5 | Stand 451
Speaker: Niraj Mathur, Co-Founder & COO, Canada
This to be a chance to meet BluMind in person to discuss on potential enhancements of your edge design activities. Let us know if you are interested in meeting with Niraj for an introduction.
How do you like your chips – classic, or flavoured?
16.11.2022 from 1:30pm - 2pm
Hall B5 | Stand 451
Speaker: Michal Fulmyk, CSO, Canada
This to be a chance to meet StarIC in person to discuss on potential help for your chip design activities. Let us know if you are interested in meeting with Michal for an introduction.
Abstract:
Manufacturing at scale has always relied on data analytics in combination with the manufacturing engineer’s intuition borne out of many years, if not decades, of experience. As the complexity of manufacturing processes increases data analytical techniques and software tools have also increased in complexity. Now, just like in the past, manufacturing has continued the trend of complexity. New data analytical techniques such as Artificial Intelligence (AI) and Machine Learning (ML) can enable engineers to overcome the complexity. A general definition of AI/ML is given followed by how to best use these algorithms and finally limitations of these algorithms and their solutions.
Abstract:
Implementing machine learning at the edge creates challenges related to power, performance, thermals, privacy, reliability, and cost. This session will introduce Blumind’s analog compute architecture, an analog compute technology that delivers microwatt power, microsecond latency and low cost while directly interfacing with analog sensors in our inherently analog world. BluMind will also discuss new use cases that will be activated with this technology.
Abstract:
Companies are more and more needing to add flavor to their designs with custom silicon. The demand is being driven by the need to
Differentiate solutions from the competition,
Provide more control over supply chain,
Design requirements advancing so fast that off-the-shelf components don’t exist to meet the specifications.
StarIC will discuss how analog design is a key gating part of the semiconductor design process and that finding the right resources to break the bottleneck is one of the keys to sustained growth in semiconductor design.