Tweets

2023-04-29T17:59:16+00:00 | 🔗

@j0hnparkhill What about working with ancient tools correctly to beat hyperbolic new models on the garbage data they publish on :P

2023-04-29T02:35:13+00:00 | 🔗

RT @acceleration_c: How AI-driven labs will fast-track the future of everything. Learn more about how the Acceleration Consortium @uoft is…

2023-04-28T23:43:50+00:00 | 🔗

@SteveWiesnerSMB I'm curious, what would you say that the iPhone's bad marketing, great product counterpart would be? Were there just lot's of secret garage iPhones we don't know about, would love to learn more about the history 🤗

2023-04-28T19:19:10+00:00 | 🔗

@buccocapital Or maybe that's what they call their pools. A "swimp". Did no one realize Swimply is nearly as close to Swamp as it is Simply

2023-04-28T19:14:18+00:00 | 🔗

@CoryMSimon When we'd released TDC benchmarks (glad they require code!) it was funny to see people surprised that they COULD in fact reproduce the results. It's almost a given that usually you can't... https://t.co/mooFgWYHjR

2023-04-28T14:42:39+00:00 | 🔗

@MichaelMPieler Ty!

2023-04-28T14:28:47+00:00 | 🔗

@MichaelMPieler Navigating large chemical spaces in early-phase drug discovery Author links open overlay panel Malte Korn 1, Christiane Ehrt 1, Fiorella Ruggiu 2, Marcus Gastreich 3, Matthias Rarey 1

2023-04-28T14:28:21+00:00 | 🔗

@MichaelMPieler Haha millions and billions are where it gets fun! https://t.co/fUyLVqY262

2023-04-27T23:27:19+00:00 | 🔗

For experts in high-throughput similarity search for chemistry, how do you think about all the recent buzz around Vector DBs for embeddings? Is it duplicate work? Better than current similarity search? Worse than current? #compchem #vectordb

2023-04-26T16:54:50+00:00 | 🔗

@benedictevans @LeoKelion Works on ppl too https://t.co/yp2LNm8B01 Showing your employee you believe in them as they make this step up builds confidence and trust in their abilities. Do this by saying: "I realize this is a step up for you and it might feel daunting. But I have every faith in you..."