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	<title>人工智慧 &#8211; 台灣大學人工智慧技術暨全幅健康照護聯合研究中心 (AINTU)</title>
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	<description>台灣大學人工智慧技術暨全幅健康照護聯合研究中心 NTU JOINT RESEARCH CENTER FOR AI TECHNOLOGY AND ALL VISTA HEALTHCARE</description>
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		<title>2019 Medical AI Meetup@ Taipei</title>
		<link>https://aintu.org/en/2019-12-medical-ai-meetup-taipei/</link>
		
		<dc:creator><![CDATA[admin]]></dc:creator>
		<pubDate>Tue, 26 Nov 2019 05:49:40 +0000</pubDate>
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					<description><![CDATA[Medical AI Meetup@ Taipei &#160; 為建立Medical AI社群定期交流平台，促進知識分享，激發合作構想，推動臺灣Medical AI之進步，「科技部全幅健康照護子中心」將與「科技部人工智慧生技醫療創新研究中心」共同舉辦12月份的Medical AI Meetup @ Taipei，本次主題為「AI x 微生物體的趨勢研究與產業應用探討」，我們誠摯地邀請您共襄盛舉及協助分享活動訊息! 時間：2019/12/20 (五) 下午13:30~17:00 地點：國立台灣大學博理館 101廳 (台北市羅斯福路四段1號) 費用：免費 報名時間：即日起至12/13 (五) 中午12:00止 報名連結：https://forms.gle/yKKJ5MA7P6fd11NX8報名已截止 地理位置及交通資訊請參考：https://web.ee.ntu.edu.tw/about4.php活動聯絡人：邱小姐 tosyc@ntu.edu.tw / 02-2732-8564當日詳細活動議程及交通方式請見附件，若有任何問題，歡迎您與活動聯絡人連繫，謝謝。 &#160;]]></description>
										<content:encoded><![CDATA[<p><strong>Medical AI Meetup@ Taipei</strong></p>
<p>&nbsp;</p>
<p><span style="color: #000000;">為建立Medical AI社群定期交流平台，促進知識分享，激發合作構想，推動臺灣Medical AI之進步，「科技部全幅健康照護子中心」將與「科技部人工智慧生技醫療創新研究中心」共同舉辦12月份的Medical AI Meetup @ Taipei，本次主題為「AI x 微生物體的趨勢研究與產業應用探討」，我們誠摯地邀請您共襄盛舉及協助分享活動訊息!</span></p>
<ul>
<li><span style="color: #000000;">時間：2019/12/20 (五) 下午13:30~17:00</span></li>
<li><span style="color: #000000;">地點：國立台灣大學博理館 101廳 (台北市羅斯福路四段1號)</span></li>
<li><span style="color: #000000;">費用：免費</span></li>
<li><span style="color: #000000;">報名時間：即日起至12/13 (五) 中午12:00止</span></li>
<li><span style="color: #000000;">報名連結：https://forms.gle/yKKJ5MA7P6fd11NX8<span style="color: #ff0000;">報名已截止</span></span></li>
<li><span style="color: #000000;">地理位置及交通資訊請參考：</span><a href="https://web.ee.ntu.edu.tw/about4.php">https://web.ee.ntu.edu.tw/about4.php</a><span style="color: #000000;">活動聯絡人：邱小姐 tosyc@ntu.edu.tw / 02-2732-8564當日詳細活動議程及交通方式請見附件，若有任何問題，歡迎您與活動聯絡人連繫，謝謝。</span><br />
<img fetchpriority="high" decoding="async" class="alignnone wp-image-1917 size-full" src="https://aintu.morcept.tw/wp-content/uploads/2019/11/1220-Medical-AI-MeetupTaipei_議程及交通方式_page-0001.jpg" alt="" width="1125" height="1500" srcset="https://aintu.org/wp-content/uploads/2019/11/1220-Medical-AI-MeetupTaipei_議程及交通方式_page-0001.jpg 1125w, https://aintu.org/wp-content/uploads/2019/11/1220-Medical-AI-MeetupTaipei_議程及交通方式_page-0001-225x300.jpg 225w, https://aintu.org/wp-content/uploads/2019/11/1220-Medical-AI-MeetupTaipei_議程及交通方式_page-0001-773x1030.jpg 773w" sizes="(max-width: 1125px) 100vw, 1125px" /></li>
</ul>
<p>&nbsp;</p>
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		<title>臺大人工智慧中心研究團隊獲獎2019未來科技展</title>
		<link>https://aintu.org/en/%e8%87%ba%e5%a4%a7%e4%ba%ba%e5%b7%a5%e6%99%ba%e6%85%a7%e4%b8%ad%e5%bf%83%e7%a0%94%e7%a9%b6%e5%9c%98%e9%9a%8a%e7%8d%b2%e7%8d%8e2019%e6%9c%aa%e4%be%86%e7%a7%91%e6%8a%80%e5%b1%95/</link>
		
		<dc:creator><![CDATA[admin]]></dc:creator>
		<pubDate>Tue, 05 Nov 2019 05:49:48 +0000</pubDate>
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		<category><![CDATA[未來科技展]]></category>
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					<description><![CDATA[本中心研究團隊獲獎2019未來科技展 2019 未來科技展本中心有4件獲得未來科技突破獎 個人特質整合語音互動之深度情緒辨識技術-李祈均教授團隊 嵌入式個人化深度降噪自編碼之語音強化系統-方士豪教授團隊 應用三維膠囊網路於肺部電腦斷層影像之結節偵測-張瑞峰教授團隊 應用結構性腦影像之精神疾病輔助診斷平台-蔡世仁教授團隊 上圖：左4為陳良基科技部長，左5為李祈均教授，臺大AI中心李祈均教授與其團隊「個人特質整合語音互動之深度情緒辨識技術」榮獲未來科技突破展 👉 相關網站]]></description>
										<content:encoded><![CDATA[<h3 class="text-strong">本中心研究團隊獲獎2019未來科技展</h3>
<p><img decoding="async" class="alignnone size-medium wp-image-2119" src="https://aintu.morcept.tw/newweb/wp-content/uploads/2019/11/未來科技展-300x300.jpg" alt="" width="300" height="300" srcset="https://aintu.org/wp-content/uploads/2019/11/未來科技展-300x300.jpg 300w, https://aintu.org/wp-content/uploads/2019/11/未來科技展-80x80.jpg 80w, https://aintu.org/wp-content/uploads/2019/11/未來科技展-36x36.jpg 36w, https://aintu.org/wp-content/uploads/2019/11/未來科技展-180x180.jpg 180w, https://aintu.org/wp-content/uploads/2019/11/未來科技展.jpg 663w" sizes="(max-width: 300px) 100vw, 300px" /></p>
<p><span style="color: #000000;">2019 未來科技展本中心有4件獲得未來科技突破獎</span></p>
<ul>
<li style="list-style-type: none;">
<ul>
<li><span style="color: #000000;">個人特質整合語音互動之深度情緒辨識技術-李祈均教授團隊</span></li>
<li><span style="color: #000000;">嵌入式個人化深度降噪自編碼之語音強化系統-方士豪教授團隊</span></li>
<li><span style="color: #000000;">應用三維膠囊網路於肺部電腦斷層影像之結節偵測-張瑞峰教授團隊</span></li>
<li><span style="color: #000000;">應用結構性腦影像之精神疾病輔助診斷平台-蔡世仁教授團隊</span></li>
</ul>
</li>
</ul>
<p><img decoding="async" class="alignnone wp-image-2244 size-full" src="https://aintu.morcept.tw/wp-content/uploads/2019/10/未來科技突破展.jpg" alt="" width="1879" height="1243" srcset="https://aintu.org/wp-content/uploads/2019/10/未來科技突破展.jpg 1879w, https://aintu.org/wp-content/uploads/2019/10/未來科技突破展-300x198.jpg 300w, https://aintu.org/wp-content/uploads/2019/10/未來科技突破展-1030x681.jpg 1030w" sizes="(max-width: 1879px) 100vw, 1879px" /><br />
<span style="color: #000000;">上圖：左4為陳良基科技部長，左5為李祈均教授，臺大AI中心李祈均教授與其團隊「個人特質整合語音互動之深度情緒辨識技術」榮獲未來科技突破展</span></p>
<p><a href="http://www.futuretech.org.tw/2019winnerslist/tw.html?PHPSESSID=gl3d9jfc1ohd0cvpctbkmig760">👉 相關網站</a></p>
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		<title>2019/9/20本中心陳信希主任參加智慧醫療科技論壇</title>
		<link>https://aintu.org/en/2019-9-20%e6%9c%ac%e4%b8%ad%e5%bf%83%e9%99%b3%e4%bf%a1%e5%b8%8c%e4%b8%bb%e4%bb%bb%e5%8f%83%e5%8a%a0%e6%99%ba%e6%85%a7%e9%86%ab%e7%99%82%e7%a7%91%e6%8a%80%e8%ab%96%e5%a3%87/</link>
		
		<dc:creator><![CDATA[admin]]></dc:creator>
		<pubDate>Fri, 20 Sep 2019 06:08:42 +0000</pubDate>
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		<category><![CDATA[News]]></category>
		<category><![CDATA[人工智慧]]></category>
		<category><![CDATA[人工醫療]]></category>
		<category><![CDATA[智慧醫療科技論壇]]></category>
		<guid isPermaLink="false">https://aintu.morcept.tw/?p=9214</guid>

					<description><![CDATA[2019/9/20本中心陳信希主任參加智慧醫療科技論壇 本中心陳信希主任於9/20參於「人工智慧醫療科技論壇」並開場致詞，其講題：由人工智慧發展看智慧醫療。論壇討論了科技與醫療的結合和發展。 圖：臺大AI中心陳信希主任 According to Global Market Insights, Inc., the global digital health market was valued at USD 86 billion in 2018 and expected to grow at a CAGR of 38.8% over the next seven years, expected to reach USD 504 billion in 2025. Rapidly advancing technologies , including artificial intelligence (AI), machine learning, Robotics, [&#8230;]]]></description>
										<content:encoded><![CDATA[<p><strong>2019/9/20本中心陳信希主任參加智慧醫療科技論壇</strong></p>
<p>本中心陳信希主任於9/20參於「人工智慧醫療科技論壇」並開場致詞，其講題：由人工智慧發展看智慧醫療。論壇討論了科技與醫療的結合和發展。</p>
<p><img loading="lazy" decoding="async" class="alignnone wp-image-1141 size-full" src="https://aintu.morcept.tw/wp-content/uploads/2019/11/智慧醫療論壇.jpg" alt="" width="750" height="562" srcset="https://aintu.org/wp-content/uploads/2019/11/智慧醫療論壇.jpg 750w, https://aintu.org/wp-content/uploads/2019/11/智慧醫療論壇-300x225.jpg 300w, https://aintu.org/wp-content/uploads/2019/11/智慧醫療論壇-705x528.jpg 705w, https://aintu.org/wp-content/uploads/2019/11/智慧醫療論壇-450x337.jpg 450w" sizes="auto, (max-width: 750px) 100vw, 750px" /><br />
圖：臺大AI中心陳信希主任</p>
<p>According to Global Market Insights, Inc., the global digital health market was valued at USD 86 billion in 2018 and expected to grow at a CAGR of 38.8% over the next seven years, expected to reach USD 504 billion in 2025. Rapidly advancing technologies , including artificial intelligence (AI), machine learning, Robotics, IoT and wearables, etc. are impacting and accelerating health care industry. Smart MedTech can advance health care quality, improver data controls, decisions making in treatment or pharma and precision medicine, all these require the collaboration between microelectronics and health care industry.</p>
<p>For microelectronics industry, it’s essential to understand the health care industry’s expectation and provide reliable, efficient and cost-effective solutions to increase the market size. As for health care industry, MedTech comes with immense opportunities to take advantage of latest technologies and to boost the technology advancement. The close collaboration between these two industries definitely bring the bright future for human life.</p>
<p>The Smart MedTech forum not only initiate the communication between microelectronics industry with MedTech applications, but also accelerate semiconductor industry involvement in MedTech development and invest more resource to realize Smart MedTech.<br />
相關連結：</p>
<p><a href="https://www.digitimes.com.tw/seminar/DForum_20190920/">https://www.digitimes.com.tw/seminar/DForum_20190920/</a></p>
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