|
46 | 46 | } |
47 | 47 | ] |
48 | 48 | }, |
49 | | - { |
50 | | - "title": "Reinforcement Learning", |
51 | | - "date": "2026-02-24", |
52 | | - "presenter": "Wes Oliver", |
53 | | - "time": "12:00 PM", |
54 | | - "location": "AI Lab Conference Room", |
55 | | - "summary": "Deep reinforcement learning approaches for de novo molecular design.", |
56 | | - "paper": { |
57 | | - "title": "Deep reinforcement learning for de novo drug design", |
58 | | - "link": "https://www.science.org/doi/epdf/10.1126/sciadv.aap7885", |
59 | | - "screenshot": "assets/images/season-2/paper-3.png" |
60 | | - } |
61 | | - }, |
62 | 49 | { |
63 | 50 | "title": "Normalizing Flows", |
64 | 51 | "date": "2026-03-03", |
|
74 | 61 | } |
75 | 62 | }, |
76 | 63 | { |
77 | | - "title": "Large Language Models", |
| 64 | + "title": "Reinforcement Learning", |
78 | 65 | "date": "2026-03-24", |
| 66 | + "presenter": "Wes Oliver", |
| 67 | + "time": "12:00 PM", |
| 68 | + "location": "AI Lab Conference Room", |
| 69 | + "summary": "Deep reinforcement learning approaches for de novo molecular design.", |
| 70 | + "paper": { |
| 71 | + "title": "Deep reinforcement learning for de novo drug design", |
| 72 | + "link": "https://www.science.org/doi/epdf/10.1126/sciadv.aap7885", |
| 73 | + "screenshot": "assets/images/season-2/paper-3.png" |
| 74 | + } |
| 75 | + }, |
| 76 | + { |
| 77 | + "title": "Large Language Models", |
| 78 | + "date": "2026-03-31", |
79 | 79 | "presenter": "Zhuang Liu", |
80 | 80 | "time": "12:00 PM", |
81 | 81 | "location": "AI Lab Conference Room" |
|
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