lalith (@onyourseat) 's Twitter Profile
lalith

@onyourseat

Student of the universe, aspiring writer, PhD graduate in AI for computer assisted surgeries @uniklinik_hd, hail from சென்னை

ID: 1136330697747173381

linkhttps://lalithnag.github.io calendar_today05-06-2019 17:55:25

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lalith (@onyourseat) 's Twitter Profile Photo

So looking forward to get on stage again tomorrow to talk about my research! I will be at the semi-finals of the German Science Slam Championship in the Theaterhaus Stuttgart, 8pm. Excited about the amazing line up & the massive audience 🔥 Sandy Engelhardt Universitätsklinikum Heidelberg Informatics4life

So looking forward to get on stage again tomorrow to talk about my research! I will be at the semi-finals of the German Science Slam Championship in the Theaterhaus Stuttgart, 8pm. Excited about the amazing line up & the massive audience 🔥

<a href="/SandyEngelh/">Sandy Engelhardt</a> <a href="/uniklinik_hd/">Universitätsklinikum Heidelberg</a> <a href="/I4L_org/">Informatics4life</a>
AI at Meta (@aiatmeta) 's Twitter Profile Photo

Using the DINOv2 open source model from Meta FAIR, Virgo developed EndoDINO, a foundation model that delivers SOTA performance across a range of GI endoscopy tasks ➡️ go.fb.me/h0q0ke

Using the DINOv2 open source model from Meta FAIR, <a href="/virgosvs/">Virgo</a> developed EndoDINO, a foundation model that delivers SOTA performance across a range of GI endoscopy tasks ➡️ go.fb.me/h0q0ke
Colin Fraser (@colin_fraser) 's Twitter Profile Photo

Anyway I do find Black Mirror to be very tech-optimistic in that the plots usually assume that the technology works pretty seamlessly

lalith (@onyourseat) 's Twitter Profile Photo

funny, I don’t see the actual CV researcher categories here: ‘fix my loss function so it doesn’t collapse in 2 epochs’ (40%) ‘explain why my GPU dies at batch size = 1’ (35%) ‘convince me my architecture isn’t just ResNet in makeup’ (25%)

lalith (@onyourseat) 's Twitter Profile Photo

pov you’re a squirrel watching sutton on dwarkesh: field notes on the persistent anthropocentric bias in reinforcement learning