Naginata Cat
@koonmeng
❤️ art, culture and stationery. Oxford comma enthusiast.
ID: 34825610
24-04-2009 03:00:05
2,2K Tweet
190 Followers
394 Following
Remote work = middle mgrs redundant? 1-Work schedules are asynchronous 2-Digital infra eases collaboration 3-Measuring output easier with digital tools. Middle mgmt also shouldn't be required for advancement. #middlemanagement #managementtips Harvard Business Review hbr.org/2021/05/its-ti…
To ⏬ energy consumption, input-adaptive neural networks have been designed. But hackers can introduce input noise to ⏫ computation resources required. IoT & other edge devices need to take note. #aisecurity #securityawareness #artificialintelligence Massachusetts Institute of Technology (MIT) technologyreview.com/2021/05/06/102…
Corporates more focused on ESG, but need to understand the limits of current business models: 1-Stress-test to expose limits 2-Modular transformations 3-Map innovations to core drivers 4-Pilot new models & fine-tune #sustainability #businessmodels Boston Consulting Group ow.ly/2LRs50FDSWE
Top 3 myths about successful startups: 1. You need a unique idea to succeed 2. "If you build it, they will come" 3. You need to raise money first #startuptips #startupbusiness #entrepreneuership Entrepreneur entrepreneur.com/article/373672
MLOps allows organizations to scale ML initiatives & be more resilient & agile. Customized development & deployment of ML is slow. MLOps is needed—a DevOps approach to ML helps with model tuning & model drift reduction too #mlops #machinelearning Deloitte www2.deloitte.com/us/en/insights…
Need for Industrial AI: 1—Knowledge automation 2—More data value from data volume 3—Competition. Industrial AI = data science + domain expertise. Digital plant of the future = Self-Optimizing Plant. #industrialai #artificialintelligence MIT Technology Review ow.ly/cUk550FWrDl
How Computationally Complex Is a Single Neuron? It takes 5-8 layers of DNN to simulate 1 biological neuron. So 1 biological neuron = 1 DNN, and not 1 artificial neuron. Mind-boggling! #deeplearning #deepneuralnetworks #ai ow.ly/K8rF50GpAqJ via Quanta Magazine