adding preliminary event descriptions

db/activities/roblox_workshop2023.md

@@ -5,12 +5,17 @@ startTime: 2023-10-28 4:30 PM
 duration: 30
 media-type: meeting-url
 mediaLink: ''
-thumbnail: https://mystickermania.com/cdn/stickers/games/sticker_3318-512x512.png
+thumbnail: https://devforum-uploads.s3.dualstack.us-east-2.amazonaws.com/uploads/original/4X/0/e/e/0eeeb19633422b1241f4306419a0f15f39d58de9.png
 presenter: ROBLOX
 priority: 7
 relatedActivities:
 ---
 
-Here, Roblox will have a workshop about their opportunities.
+Join Roblox's exclusive workshop, 'Ready for Roblox: Our Opportunities,' where you'll gain insights into exciting career prospects with one of the gaming industry's leading companies. They will unveil a spectrum of 2024 opportunities, including Software Engineer Intern, Software Engineer New Grad, and Data Science Intern roles. Learn about Roblox's unique hiring assessments, and discover invaluable resources to empower your success in both assessments and interviews. Don't miss this chance to explore your potential at Roblox and take your career to the next level!
 
-Stay tuned for a Zoom meeting link on this page when the event starts!
+Zoom Link & Info: 
+[https://tamu.zoom.us/j/96735036415?pwd=S3N2eTIvMVl4SDFxSnBOdFIybTJjQT09](https://tamu.zoom.us/j/96735036415?pwd=S3N2eTIvMVl4SDFxSnBOdFIybTJjQT09)
+
+Meeting ID: 967 3503 6415
+
+Passcode: 042355

db/activities/tamids_computer_vision2023.md

@@ -9,4 +9,4 @@ priority: 7
 relatedActivities:
 ---
 
-Here, the Texas A&M Institute of Statistics we will have a workshop on computer vision.
+Cotton, accounting for approximately 25 percent of global fiber usage, is significant among textile fibers worldwide. However, the water resources are currently insufficient to provide full irrigation in the arid or semi-arid areas for cotton. Therefore, finding effective methods to optimize irrigation water use is essential. This workshop aims to classify cotton water stress using convolutional neural networks. The high-resolution cotton RGB image was collected by a DJI Phantom 4 at Lubbock, Texas. The study included three replications to evaluate four irrigation treatments. The research results demonstrated that the CNN model successfully classified the cotton water stress with an overall accuracy of 91%.

src/common/Media/Media.tsx

@@ -1,6 +1,6 @@
 import React from "react";
 import * as UI from "./style";
-import { Col, Row, Container, Button } from "react-bootstrap";
+import { Col, Button } from "react-bootstrap";
 import { useActiveUser, UserCurrentStatus } from "../UserProvider";
 
 /* eslint-disable */
@@ -100,7 +100,7 @@ export const Media: React.FC<MediaProps> = (props: MediaProps) => {
 
     return (
       <>
-        <UI.MeetingWrapper>
+        {/* <UI.MeetingWrapper>
           <Container>
             <Row>
               <Col>
@@ -115,7 +115,7 @@ export const Media: React.FC<MediaProps> = (props: MediaProps) => {
               {joinBtn}
             </Row>
           </Container>
-        </UI.MeetingWrapper>
+        </UI.MeetingWrapper> */}
       </>
     );
   }