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Dan O'Mara: Turning Robotics Education on its Head Sense Think Act Podcast #19

Robohub

In this episode, Audrow Nash speaks to Dan O'Mara, who is the founder and COO of Circuit Launch and Mechlabs. Circuit Launch is a space for hardware entrepreneurs to work in Oakland, California, and Mechlabs is a project-based course to learn robotics. This interview is mostly about Mechlabs, but talks about the origins of Circuit Launch, including how it is not a maker or coworking space and its business model. For Mechlabs, we talk about several of its aspects that make it different than a university education in robotics, including how there are mentors not instructors, how projects are scoped, and how people are invited to work on what is most interesting to them. We also talk about the future of Mechlabs and how it fits with current universities.


Report: 5 key trends for AI's future

#artificialintelligence

We are excited to bring Transform 2022 back in-person July 19 and virtually July 20 - 28. Join AI and data leaders for insightful talks and exciting networking opportunities. Artificial intelligence (AI) is a foundational catalyst for digital business, according to a new report by Gartner. The last 10 years represent a breakthrough period in AI's development, spurred by the convergence of factors including the rise of big data, advancements in compute infrastructure, new machine learning techniques, the emergence of cloud computing and the vibrant open-source ecosystem. In evaluating the trends that will shape the future of AI in the enterprise, there are five trends that Gartner sees as being the most significant. Technology leaders must harness these emerging AI trends to democratize and foster its responsible use, adapt composite techniques, leverage AI for real-time analytics at the edge and exploit its generative powers. Democratized AI will make AI accessible to a wide set of users.


Microsoft AI news: Making AI easier, simpler, more responsible

#artificialintelligence

Artificial intelligence, machine learning concept with brain and eyeglasses. We are excited to bring Transform 2022 back in-person July 19 and …






The Deep Learning Tool We Wish We Had In Grad School

#artificialintelligence

Machine learning PhD students are in a unique position: they often need to run large-scale experiments to conduct state-of-the-art research but they don't have the support of the platform teams that industrial ML engineers can rely on. As former PhD students ourselves, we recount our hands-on experience with these challenges and explain how open-source tools like Determined would have made grad school a lot less painful. When we started graduate school as PhD students at Carnegie Mellon University (CMU), we thought the challenge laid in having novel ideas, testing hypotheses, and presenting research. Instead, the most difficult part was building out the tooling and infrastructure needed to run deep learning experiments. While industry labs like Google Brain and FAIR have teams of engineers to provide this kind of support, independent researchers and graduate students are left to manage on their own.


AI reskilling: A solution to the worker crisis - JackOfAllTechs.com

#artificialintelligence

We are excited to bring Transform 2022 back in-person July 19 and virtually July 20 – 28. By 2025, the World Economic Forum estimates that 97 million new jobs may emerge as artificial intelligence (AI) changes the nature of work and influences the new division of labor between humans, machines and algorithms. Specifically in banking, a recent McKinsey survey found that AI technologies could deliver up to $1 trillion of additional value each year. AI is continuing its steady rise and starting to have a sweeping impact on the financial services industry, but its potential is still far from fully realized. The transformative power of AI is already impacting a range of functions in financial services including risk management, personalization, fraud detection and ESG analytics.


AI reskilling: A solution to the worker crisis

#artificialintelligence

We are excited to bring Transform 2022 back in-person July 19 and virtually July 20 - 28. Join AI and data leaders for insightful talks and exciting networking opportunities. By 2025, the World Economic Forum estimates that 97 million new jobs may emerge as artificial intelligence (AI) changes the nature of work and influences the new division of labor between humans, machines and algorithms. Specifically in banking, a recent McKinsey survey found that AI technologies could deliver up to $1 trillion of additional value each year. AI is continuing its steady rise and starting to have a sweeping impact on the financial services industry, but its potential is still far from fully realized. The transformative power of AI is already impacting a range of functions in financial services including risk management, personalization, fraud detection and ESG analytics.