The impacts of COVID-19 are felt almost everywhere in 2020, one field that has seen a massive change is logistics. As more people have switched to ordering online in order to maintain limited exposure to the virus companies have had to adjust the way they think about managing orders and deliveries. This interview with Kapil Bharati, CTO and Co-founder at Delhivery covers some of the ways they embraced machine learning to help optimize their 1 million daily shipments, and all the steps in between.
One area in the healthcare industry that doesn’t seem to have benefited from many new solutions in the marketplace is hearing loss. Learn a little bit more about this field, and how some startups can use machine learning to perform advanced signal processing.
Do you think the hearing aid is something that could be improved with AI or are the current solutions already good enough?
Researchers recently made a breakthrough using machine learning to help improve the energy output from nuclear fusion reactors by simulating the plasma interaction with materials.
Researchers at MIT have started using machine learning to improve drug compound screenings that could help biologists and pharmaceutical companies make better predictions on molecule bindings for development.
Pytorch just released version 1.0. Along with the latest release, the official pytorch site got a new look.
spaCy version 3.0 is going to be a big release with plenty of new features. You can get started using 3.0 with the new spaCy nightly builds
I was wondering when this would arrive! Udacity has partnered with Microsoft to launch a comprehensive course on Azure machine learning.
Listen to the latest conversation with Scott Aaronson and Lex Fridman to hear their discussion around simulation, the theories of everything, consciousness, turing tests, GPT-3, and much more.
Learn about strengthening machine learning and artificial intelligence in African, the distinction between decolonizing AI and ethical AI, and explore the origin of deep learning Indaba.
Learn about origins of the MLT community, Suzana’s work at Causaly and transition from linguist and domain expert to working with causal modeling.
Some of the interesting machine learning papers published this week.