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On the path from scientific discovery to new drug, the clinical trial is a huge — and critical — hurdle. Clinical trials are themselves experiments, and to make sure that they are doing the best possible job at deter...
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In this episode of our show 16 Minutes -- where we talk about the headlines, and where we are on the long arc of tech trends -- we cover the news around Google DeepMind's AlphaFold system for predicting the 3-D structure of proteins outperforming 100 teams across 20 countries in the 14th Community Wide Assessment on the CASP (Critical Assessment of Structure Prediction) challenge. The challenge, which takes place every other year (over several months) tracks progress, key metrics, and state-of-the-art on predictive techniques for protein folding.
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a16z Journal Club covers recent advances from the scientific literature; this inaugural episode for bio covers 2 two different topics: (1) identifying new antibiotics through a novel machine-learning based approach; and (2) characterizing the novel coronavirus causing the COVID-19 pandemic.
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Data has long been lauded as a competitive moat for companies, and that narrative’s been further hyped with the recent wave of AI startups. Network effects have been similarly promoted as a defensible force in building...
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Data, data, everywhere, nor any drop to drink. Or so would say Coleridge, if he were a big company CEO trying to use A.I. today — because even when you have a ton of data, there’s not always enough signal to ...
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When you have “a really hot, frothy space” like AI, even the most basic questions — like what is it good for, how do you make sure your data is in shape, and so on — aren’t answered. This is...
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There’s been a lot of talk about technology — and AI, deep learning, and machine learning specifically — finally reaching the healthcare sector. But AI in medicine isn’t actually new; it’s actually been...
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We’ve already talked quite a bit about the Algorithms, Machines, and People lab at U.C. Berkeley (AMPLab) — all about making sense of big data — so what happens when the entire world moves towards artif...
AI in practice
All AI in practice Content
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On the path from scientific discovery to new drug, the clinical trial is a huge — and critical — hurdle. Clinical trials are themselves experiments, and to make sure that they are doing the best possible job at deter...
-
In this episode of our show 16 Minutes -- where we talk about the headlines, and where we are on the long arc of tech trends -- we cover the news around Google DeepMind's AlphaFold system for predicting the 3-D structure of proteins outperforming 100 teams across 20 countries in the 14th Community Wide Assessment on the CASP (Critical Assessment of Structure Prediction) challenge. The challenge, which takes place every other year (over several months) tracks progress, key metrics, and state-of-the-art on predictive techniques for protein folding.
-
a16z Journal Club covers recent advances from the scientific literature; this inaugural episode for bio covers 2 two different topics: (1) identifying new antibiotics through a novel machine-learning based approach; and (2) characterizing the novel coronavirus causing the COVID-19 pandemic.
-
Data, data, everywhere, nor any drop to drink. Or so would say Coleridge, if he were a big company CEO trying to use A.I. today — because even when you have a ton of data, there’s not always enough signal to ...
-
When you have “a really hot, frothy space” like AI, even the most basic questions — like what is it good for, how do you make sure your data is in shape, and so on — aren’t answered. This is...
-
There’s been a lot of talk about technology — and AI, deep learning, and machine learning specifically — finally reaching the healthcare sector. But AI in medicine isn’t actually new; it’s actually been...
-
We’ve already talked quite a bit about the Algorithms, Machines, and People lab at U.C. Berkeley (AMPLab) — all about making sense of big data — so what happens when the entire world moves towards artif...
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A lot of machine learning startups initially feel a bit of “impostor syndrome” around competing with big companies, because (the argument goes), those companies have all the data; surely we can’t beat t...
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Why are people so fired up about a computer winning yet another game? Whether it’s checkers, chess, Jeopardy, or the ancient Chinese game of Go, we get excited about the potential for more when we see computers bea...
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Data has long been lauded as a competitive moat for companies, and that narrative’s been further hyped with the recent wave of AI startups. Network effects have been similarly promoted as a defensible force in building...
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We’ve met with hundreds of Fortune 500/ Global 2000 companies, startups, and government agencies asking: “How do I get started with artificial intelligence?” and “What can I do with AI in my own ...