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  <channel>
    <title>Blog</title>
    <link>https://ai.sony/archive</link>
    <description>Read past research, activities, breakthroughs, research papers, and projects published as official Sony AI news and blogs.</description>
    <language>en</language>
    <pubDate>Wed, 01 Jul 2026 03:04:24 GMT</pubDate>
    <dc:date>2026-07-01T03:04:24Z</dc:date>
    <dc:language>en</dc:language>
    <item>
      <title>Gran Turismo Sophy™, Five Years On: From Nature Cover to Open Frontier</title>
      <link>https://ai.sony/archive/gran-turismo-sophy-five-years-on-from-nature-cover-to-open-frontier</link>
      <description>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://ai.sony/archive/gran-turismo-sophy-five-years-on-from-nature-cover-to-open-frontier" title="" class="hs-featured-image-link"&gt; &lt;img src="https://ai.sony/hubfs/GT%20Sophy%20Retro_Blog%20Header_800x495.png" alt="Gran Turismo Sophy™, Five Years On: From Nature Cover to Open Frontier" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt; 
&lt;p style="line-height: 1.2;"&gt;&lt;span&gt;In early 2020, a handful of researchers had an ambitious idea: Build an AI agent that could beat the best drivers in the world at Gran Turismo™, the PlayStation® racing simulation game. Five years later, that agent is a permanent feature in a game played by millions. It is a case study in how research becomes a product &lt;/span&gt;&lt;em&gt;&lt;span&gt;and&lt;/span&gt;&lt;/em&gt;&lt;span&gt; a platform generating new questions (and some answers) about the future of reinforcement learning.&lt;/span&gt;&lt;/p&gt;</description>
      <content:encoded>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://ai.sony/archive/gran-turismo-sophy-five-years-on-from-nature-cover-to-open-frontier" title="" class="hs-featured-image-link"&gt; &lt;img src="https://ai.sony/hubfs/GT%20Sophy%20Retro_Blog%20Header_800x495.png" alt="Gran Turismo Sophy™, Five Years On: From Nature Cover to Open Frontier" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt; 
&lt;p style="line-height: 1.2;"&gt;&lt;span&gt;In early 2020, a handful of researchers had an ambitious idea: Build an AI agent that could beat the best drivers in the world at Gran Turismo™, the PlayStation® racing simulation game. Five years later, that agent is a permanent feature in a game played by millions. It is a case study in how research becomes a product &lt;/span&gt;&lt;em&gt;&lt;span&gt;and&lt;/span&gt;&lt;/em&gt;&lt;span&gt; a platform generating new questions (and some answers) about the future of reinforcement learning.&lt;/span&gt;&lt;/p&gt;  
&lt;img src="https://track-na2.hubspot.com/__ptq.gif?a=242443477&amp;amp;k=14&amp;amp;r=https%3A%2F%2Fai.sony%2Farchive%2Fgran-turismo-sophy-five-years-on-from-nature-cover-to-open-frontier&amp;amp;bu=https%253A%252F%252Fai.sony%252Farchive&amp;amp;bvt=rss" alt="" width="1" height="1" style="min-height:1px!important;width:1px!important;border-width:0!important;margin-top:0!important;margin-bottom:0!important;margin-right:0!important;margin-left:0!important;padding-top:0!important;padding-bottom:0!important;padding-right:0!important;padding-left:0!important; "&gt;</content:encoded>
      <category>Gaming</category>
      <category>GT Sophy</category>
      <category>Game AI Gaming</category>
      <pubDate>Wed, 01 Jul 2026 02:43:23 GMT</pubDate>
      <guid>https://ai.sony/archive/gran-turismo-sophy-five-years-on-from-nature-cover-to-open-frontier</guid>
      <dc:date>2026-07-01T02:43:23Z</dc:date>
      <dc:creator>Admin</dc:creator>
    </item>
    <item>
      <title>Advancing AI: Highlights from June</title>
      <link>https://ai.sony/archive/advancing-ai-highlights-from-june-1</link>
      <description>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://ai.sony/archive/advancing-ai-highlights-from-june-1" title="" class="hs-featured-image-link"&gt; &lt;img src="https://ai.sony/hubfs/Month%20in%20Review_June%202026_Blog%20Header_800x495.jpg" alt="Advancing AI: Highlights from June" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt; 
&lt;p&gt;&lt;span&gt;June brought another milestone for Project Ace. Our autonomous table tennis robot, Ace, beat ranked professional players under official competition rules. We also presented six papers at CVPR 2026 in Denver. And our AI ethics research reached a wider audience through a TIME op-ed on data rights. Here is a look at what we worked on this month, and what is coming next.&lt;/span&gt;&lt;/p&gt;</description>
      <content:encoded>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://ai.sony/archive/advancing-ai-highlights-from-june-1" title="" class="hs-featured-image-link"&gt; &lt;img src="https://ai.sony/hubfs/Month%20in%20Review_June%202026_Blog%20Header_800x495.jpg" alt="Advancing AI: Highlights from June" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt; 
&lt;p&gt;&lt;span&gt;June brought another milestone for Project Ace. Our autonomous table tennis robot, Ace, beat ranked professional players under official competition rules. We also presented six papers at CVPR 2026 in Denver. And our AI ethics research reached a wider audience through a TIME op-ed on data rights. Here is a look at what we worked on this month, and what is coming next.&lt;/span&gt;&lt;/p&gt;  
&lt;img src="https://track-na2.hubspot.com/__ptq.gif?a=242443477&amp;amp;k=14&amp;amp;r=https%3A%2F%2Fai.sony%2Farchive%2Fadvancing-ai-highlights-from-june-1&amp;amp;bu=https%253A%252F%252Fai.sony%252Farchive&amp;amp;bvt=rss" alt="" width="1" height="1" style="min-height:1px!important;width:1px!important;border-width:0!important;margin-top:0!important;margin-bottom:0!important;margin-right:0!important;margin-left:0!important;padding-top:0!important;padding-bottom:0!important;padding-right:0!important;padding-left:0!important; "&gt;</content:encoded>
      <category>Sony AI</category>
      <pubDate>Wed, 01 Jul 2026 02:17:43 GMT</pubDate>
      <guid>https://ai.sony/archive/advancing-ai-highlights-from-june-1</guid>
      <dc:date>2026-07-01T02:17:43Z</dc:date>
      <dc:creator>Admin</dc:creator>
    </item>
    <item>
      <title>What Happened After the Nature Paper: Ace vs. Professional Players</title>
      <link>https://ai.sony/archive/what-happened-after-the-nature-paper-ace-vs.-professional-players</link>
      <description>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://ai.sony/archive/what-happened-after-the-nature-paper-ace-vs.-professional-players" title="" class="hs-featured-image-link"&gt; &lt;img src="https://ai.sony/hubfs/Ace-Banner-BLUE-Web-Desktop-880x495.jpg" alt="What Happened After the Nature Paper: Ace vs. Professional Players" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt; 
&lt;p&gt;&lt;span&gt;In our recent &lt;/span&gt;&lt;a href="https://www.nature.com/articles/s41586-026-10338-5"&gt;&lt;em&gt;&lt;u&gt;&lt;span&gt;Nature&lt;/span&gt;&lt;/u&gt;&lt;/em&gt;&lt;/a&gt;&lt;span&gt; paper, we outlined how Ace, our autonomous table tennis robot, could compete with and beat elite players in matches that took place in April of 2025, but we were unable to outplay professional players. That result proved a real-world AI system could rally and win against high-level human opponents.&lt;/span&gt;&lt;/p&gt;</description>
      <content:encoded>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://ai.sony/archive/what-happened-after-the-nature-paper-ace-vs.-professional-players" title="" class="hs-featured-image-link"&gt; &lt;img src="https://ai.sony/hubfs/Ace-Banner-BLUE-Web-Desktop-880x495.jpg" alt="What Happened After the Nature Paper: Ace vs. Professional Players" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt; 
&lt;p&gt;&lt;span&gt;In our recent &lt;/span&gt;&lt;a href="https://www.nature.com/articles/s41586-026-10338-5"&gt;&lt;em&gt;&lt;u&gt;&lt;span&gt;Nature&lt;/span&gt;&lt;/u&gt;&lt;/em&gt;&lt;/a&gt;&lt;span&gt; paper, we outlined how Ace, our autonomous table tennis robot, could compete with and beat elite players in matches that took place in April of 2025, but we were unable to outplay professional players. That result proved a real-world AI system could rally and win against high-level human opponents.&lt;/span&gt;&lt;/p&gt;  
&lt;img src="https://track-na2.hubspot.com/__ptq.gif?a=242443477&amp;amp;k=14&amp;amp;r=https%3A%2F%2Fai.sony%2Farchive%2Fwhat-happened-after-the-nature-paper-ace-vs.-professional-players&amp;amp;bu=https%253A%252F%252Fai.sony%252Farchive&amp;amp;bvt=rss" alt="" width="1" height="1" style="min-height:1px!important;width:1px!important;border-width:0!important;margin-top:0!important;margin-bottom:0!important;margin-right:0!important;margin-left:0!important;padding-top:0!important;padding-bottom:0!important;padding-right:0!important;padding-left:0!important; "&gt;</content:encoded>
      <category>Robotics</category>
      <pubDate>Wed, 10 Jun 2026 16:00:00 GMT</pubDate>
      <guid>https://ai.sony/archive/what-happened-after-the-nature-paper-ace-vs.-professional-players</guid>
      <dc:date>2026-06-10T16:00:00Z</dc:date>
      <dc:creator>The Ace Team</dc:creator>
    </item>
    <item>
      <title>CVPR 2026: Sony AI's Latest in Computer Vision Research</title>
      <link>https://ai.sony/archive/cvpr-2026-sony-ais-latest-in-computer-vision-research</link>
      <description>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://ai.sony/archive/cvpr-2026-sony-ais-latest-in-computer-vision-research" title="" class="hs-featured-image-link"&gt; &lt;img src="https://ai.sony/hubfs/CVPR%202026_Blog%20Header_880x495.png" alt="CVPR 2026: Sony AI's Latest in Computer Vision Research" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt; 
&lt;p style="line-height: 1.2;"&gt;&lt;span&gt;The Computer Vision and Pattern Recognition conference (CVPR) brings together work that defines how machines see, reconstruct, and generate the visual world. This year, Sony AI and its collaborators are presenting six papers at CVPR 2026 in Denver. &lt;/span&gt;&lt;/p&gt;</description>
      <content:encoded>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://ai.sony/archive/cvpr-2026-sony-ais-latest-in-computer-vision-research" title="" class="hs-featured-image-link"&gt; &lt;img src="https://ai.sony/hubfs/CVPR%202026_Blog%20Header_880x495.png" alt="CVPR 2026: Sony AI's Latest in Computer Vision Research" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt; 
&lt;p style="line-height: 1.2;"&gt;&lt;span&gt;The Computer Vision and Pattern Recognition conference (CVPR) brings together work that defines how machines see, reconstruct, and generate the visual world. This year, Sony AI and its collaborators are presenting six papers at CVPR 2026 in Denver. &lt;/span&gt;&lt;/p&gt;  
&lt;img src="https://track-na2.hubspot.com/__ptq.gif?a=242443477&amp;amp;k=14&amp;amp;r=https%3A%2F%2Fai.sony%2Farchive%2Fcvpr-2026-sony-ais-latest-in-computer-vision-research&amp;amp;bu=https%253A%252F%252Fai.sony%252Farchive&amp;amp;bvt=rss" alt="" width="1" height="1" style="min-height:1px!important;width:1px!important;border-width:0!important;margin-top:0!important;margin-bottom:0!important;margin-right:0!important;margin-left:0!important;padding-top:0!important;padding-bottom:0!important;padding-right:0!important;padding-left:0!important; "&gt;</content:encoded>
      <category>Events</category>
      <pubDate>Mon, 01 Jun 2026 18:10:43 GMT</pubDate>
      <guid>https://ai.sony/archive/cvpr-2026-sony-ais-latest-in-computer-vision-research</guid>
      <dc:date>2026-06-01T18:10:43Z</dc:date>
      <dc:creator>Admin</dc:creator>
    </item>
    <item>
      <title>Advancing AI: Highlights from May</title>
      <link>https://ai.sony/archive/advancing-ai-highlights-from-may-1</link>
      <description>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://ai.sony/archive/advancing-ai-highlights-from-may-1" title="" class="hs-featured-image-link"&gt; &lt;img src="https://ai.sony/hubfs/2026-05-MonthinReviewCarousel_880x495.jpg" alt="Advancing AI: Highlights from May" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt; 
&lt;p&gt;&lt;span&gt;May put sound at the center of Sony AI’s research. From 11 papers at ICASSP that push audio systems to be more honest about what they understand, to Woosh, a foundation model built for the people who design sound for games and film, the month showed careful research and practical tooling moving together. Stay tuned, June highlights next month will bring new deep-dives, news updates, and conference coverage. &lt;/span&gt;&lt;/p&gt;</description>
      <content:encoded>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://ai.sony/archive/advancing-ai-highlights-from-may-1" title="" class="hs-featured-image-link"&gt; &lt;img src="https://ai.sony/hubfs/2026-05-MonthinReviewCarousel_880x495.jpg" alt="Advancing AI: Highlights from May" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt; 
&lt;p&gt;&lt;span&gt;May put sound at the center of Sony AI’s research. From 11 papers at ICASSP that push audio systems to be more honest about what they understand, to Woosh, a foundation model built for the people who design sound for games and film, the month showed careful research and practical tooling moving together. Stay tuned, June highlights next month will bring new deep-dives, news updates, and conference coverage. &lt;/span&gt;&lt;/p&gt;  
&lt;img src="https://track-na2.hubspot.com/__ptq.gif?a=242443477&amp;amp;k=14&amp;amp;r=https%3A%2F%2Fai.sony%2Farchive%2Fadvancing-ai-highlights-from-may-1&amp;amp;bu=https%253A%252F%252Fai.sony%252Farchive&amp;amp;bvt=rss" alt="" width="1" height="1" style="min-height:1px!important;width:1px!important;border-width:0!important;margin-top:0!important;margin-bottom:0!important;margin-right:0!important;margin-left:0!important;padding-top:0!important;padding-bottom:0!important;padding-right:0!important;padding-left:0!important; "&gt;</content:encoded>
      <category>Sony AI</category>
      <pubDate>Mon, 01 Jun 2026 16:00:00 GMT</pubDate>
      <guid>https://ai.sony/archive/advancing-ai-highlights-from-may-1</guid>
      <dc:date>2026-06-01T16:00:00Z</dc:date>
      <dc:creator>Admin</dc:creator>
    </item>
    <item>
      <title>Introducing Woosh: Sony AI's Sound Effect Foundation Model</title>
      <link>https://ai.sony/archive/introducing-woosh-sony-ais-sound-effect-foundation-model</link>
      <description>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://ai.sony/archive/introducing-woosh-sony-ais-sound-effect-foundation-model" title="" class="hs-featured-image-link"&gt; &lt;img src="https://ai.sony/hubfs/YouKnowtheSound-800x495.png" alt="Introducing Woosh a foundation model for sound effects" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt; 
&lt;p&gt;&lt;span&gt;Sony AI has been working on a problem most generative audio models have overlooked: sound effects. Specifically, the tools that sound designers, game audio directors, and creative professionals rely on to build the sonic worlds behind games and film.&lt;/span&gt;&lt;/p&gt;</description>
      <content:encoded>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://ai.sony/archive/introducing-woosh-sony-ais-sound-effect-foundation-model" title="" class="hs-featured-image-link"&gt; &lt;img src="https://ai.sony/hubfs/YouKnowtheSound-800x495.png" alt="Introducing Woosh a foundation model for sound effects" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt; 
&lt;p&gt;&lt;span&gt;Sony AI has been working on a problem most generative audio models have overlooked: sound effects. Specifically, the tools that sound designers, game audio directors, and creative professionals rely on to build the sonic worlds behind games and film.&lt;/span&gt;&lt;/p&gt;  
&lt;img src="https://track-na2.hubspot.com/__ptq.gif?a=242443477&amp;amp;k=14&amp;amp;r=https%3A%2F%2Fai.sony%2Farchive%2Fintroducing-woosh-sony-ais-sound-effect-foundation-model&amp;amp;bu=https%253A%252F%252Fai.sony%252Farchive&amp;amp;bvt=rss" alt="" width="1" height="1" style="min-height:1px!important;width:1px!important;border-width:0!important;margin-top:0!important;margin-bottom:0!important;margin-right:0!important;margin-left:0!important;padding-top:0!important;padding-bottom:0!important;padding-right:0!important;padding-left:0!important; "&gt;</content:encoded>
      <category>Sony AI</category>
      <pubDate>Mon, 18 May 2026 16:46:22 GMT</pubDate>
      <guid>https://ai.sony/archive/introducing-woosh-sony-ais-sound-effect-foundation-model</guid>
      <dc:date>2026-05-18T16:46:22Z</dc:date>
      <dc:creator>Admin</dc:creator>
    </item>
    <item>
      <title>Sony AI at ICASSP 2026: Research Roundup</title>
      <link>https://ai.sony/archive/sony-ai-at-icassp-2026-research-roundup</link>
      <description>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://ai.sony/archive/sony-ai-at-icassp-2026-research-roundup" title="" class="hs-featured-image-link"&gt; &lt;img src="https://ai.sony/hubfs/ICASSP%202026_%20Blog%20Header_880x495.png" alt="Sony AI at ICASSP 2026: Research Roundup" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt; 
&lt;h2 style="line-height: 1.2;"&gt;&lt;strong&gt;&lt;span style="color: #c80064;"&gt;Introduction&lt;/span&gt;&lt;/strong&gt;&lt;/h2&gt; 
&lt;p style="line-height: 1.2;"&gt;&lt;span&gt;Sony AI will present 11 accepted papers at &lt;/span&gt;&lt;a href="https://2026.ieeeicassp.org/"&gt;&lt;u&gt;&lt;span style="color: #1155cc;"&gt;ICASSP 2026 in Barcelona this May&lt;/span&gt;&lt;/u&gt;&lt;/a&gt;&lt;span&gt;. The work spans music understanding, generative audio, audio-visual alignment, and data quality. Each theme reflects a different pressure point in the field.&lt;/span&gt;&lt;/p&gt;</description>
      <content:encoded>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://ai.sony/archive/sony-ai-at-icassp-2026-research-roundup" title="" class="hs-featured-image-link"&gt; &lt;img src="https://ai.sony/hubfs/ICASSP%202026_%20Blog%20Header_880x495.png" alt="Sony AI at ICASSP 2026: Research Roundup" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt; 
&lt;h2 style="line-height: 1.2;"&gt;&lt;strong&gt;&lt;span style="color: #c80064;"&gt;Introduction&lt;/span&gt;&lt;/strong&gt;&lt;/h2&gt; 
&lt;p style="line-height: 1.2;"&gt;&lt;span&gt;Sony AI will present 11 accepted papers at &lt;/span&gt;&lt;a href="https://2026.ieeeicassp.org/"&gt;&lt;u&gt;&lt;span style="color: #1155cc;"&gt;ICASSP 2026 in Barcelona this May&lt;/span&gt;&lt;/u&gt;&lt;/a&gt;&lt;span&gt;. The work spans music understanding, generative audio, audio-visual alignment, and data quality. Each theme reflects a different pressure point in the field.&lt;/span&gt;&lt;/p&gt;  
&lt;img src="https://track-na2.hubspot.com/__ptq.gif?a=242443477&amp;amp;k=14&amp;amp;r=https%3A%2F%2Fai.sony%2Farchive%2Fsony-ai-at-icassp-2026-research-roundup&amp;amp;bu=https%253A%252F%252Fai.sony%252Farchive&amp;amp;bvt=rss" alt="" width="1" height="1" style="min-height:1px!important;width:1px!important;border-width:0!important;margin-top:0!important;margin-bottom:0!important;margin-right:0!important;margin-left:0!important;padding-top:0!important;padding-bottom:0!important;padding-right:0!important;padding-left:0!important; "&gt;</content:encoded>
      <category>Imaging &amp; Sensing</category>
      <category>Events</category>
      <category>Machine Learning</category>
      <pubDate>Wed, 06 May 2026 18:23:44 GMT</pubDate>
      <guid>https://ai.sony/archive/sony-ai-at-icassp-2026-research-roundup</guid>
      <dc:date>2026-05-06T18:23:44Z</dc:date>
      <dc:creator>Admin</dc:creator>
    </item>
    <item>
      <title>Advancing AI: Highlights from April</title>
      <link>https://ai.sony/archive/advancing-ai-highlights-from-april-2026</link>
      <description>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://ai.sony/archive/advancing-ai-highlights-from-april-2026" title="" class="hs-featured-image-link"&gt; &lt;img src="https://ai.sony/hubfs/Month%20in%20Review_April%202026_Blog%20Header_880x495.jpg.jpg" alt="Advancing AI: Highlights from April" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt; 
&lt;p&gt;&lt;span&gt;April was a defining month for Sony AI. Project Ace, the table tennis research project five years in the making, reached the cover of &lt;/span&gt;&lt;em&gt;&lt;span&gt;Nature&lt;/span&gt;&lt;/em&gt;&lt;span&gt; and traveled across more than 1,800 articles in 30+ countries. Beyond Ace, our Chief Scientist, Peter Stone contributed a new framework for understanding AI companionship, returned to ICLR 2026 with a full slate of papers, and opened a window into the future of AI-powered chip design. Here is a closer look at what shaped April across the lab and beyond.&lt;/span&gt;&lt;/p&gt;</description>
      <content:encoded>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://ai.sony/archive/advancing-ai-highlights-from-april-2026" title="" class="hs-featured-image-link"&gt; &lt;img src="https://ai.sony/hubfs/Month%20in%20Review_April%202026_Blog%20Header_880x495.jpg.jpg" alt="Advancing AI: Highlights from April" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt; 
&lt;p&gt;&lt;span&gt;April was a defining month for Sony AI. Project Ace, the table tennis research project five years in the making, reached the cover of &lt;/span&gt;&lt;em&gt;&lt;span&gt;Nature&lt;/span&gt;&lt;/em&gt;&lt;span&gt; and traveled across more than 1,800 articles in 30+ countries. Beyond Ace, our Chief Scientist, Peter Stone contributed a new framework for understanding AI companionship, returned to ICLR 2026 with a full slate of papers, and opened a window into the future of AI-powered chip design. Here is a closer look at what shaped April across the lab and beyond.&lt;/span&gt;&lt;/p&gt;  
&lt;img src="https://track-na2.hubspot.com/__ptq.gif?a=242443477&amp;amp;k=14&amp;amp;r=https%3A%2F%2Fai.sony%2Farchive%2Fadvancing-ai-highlights-from-april-2026&amp;amp;bu=https%253A%252F%252Fai.sony%252Farchive&amp;amp;bvt=rss" alt="" width="1" height="1" style="min-height:1px!important;width:1px!important;border-width:0!important;margin-top:0!important;margin-bottom:0!important;margin-right:0!important;margin-left:0!important;padding-top:0!important;padding-bottom:0!important;padding-right:0!important;padding-left:0!important; "&gt;</content:encoded>
      <category>Sony AI</category>
      <pubDate>Thu, 30 Apr 2026 22:38:11 GMT</pubDate>
      <guid>https://ai.sony/archive/advancing-ai-highlights-from-april-2026</guid>
      <dc:date>2026-04-30T22:38:11Z</dc:date>
      <dc:creator>Admin</dc:creator>
    </item>
    <item>
      <title>Sony AI at ICLR 2026: Research Roundup</title>
      <link>https://ai.sony/archive/sony-ai-at-iclr-2026-research-roundup</link>
      <description>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://ai.sony/archive/sony-ai-at-iclr-2026-research-roundup" title="" class="hs-featured-image-link"&gt; &lt;img src="https://ai.sony/hubfs/ICLR%202026-1.png" alt="Sony AI at ICLR 2026: Research Roundup" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt; 
&lt;p style="line-height: 1.2;"&gt;&lt;span&gt;For several years, Sony AI has contributed research to the International Conference on Learning Representations (ICLR), engaging in conversations that sit at the core of modern machine learning. ICLR has become a key forum for work that shapes how models are trained, interpreted, and deployed in real systems, making it a natural home for research that spans from theory to creative application.&lt;/span&gt;&lt;/p&gt;</description>
      <content:encoded>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://ai.sony/archive/sony-ai-at-iclr-2026-research-roundup" title="" class="hs-featured-image-link"&gt; &lt;img src="https://ai.sony/hubfs/ICLR%202026-1.png" alt="Sony AI at ICLR 2026: Research Roundup" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt; 
&lt;p style="line-height: 1.2;"&gt;&lt;span&gt;For several years, Sony AI has contributed research to the International Conference on Learning Representations (ICLR), engaging in conversations that sit at the core of modern machine learning. ICLR has become a key forum for work that shapes how models are trained, interpreted, and deployed in real systems, making it a natural home for research that spans from theory to creative application.&lt;/span&gt;&lt;/p&gt;  
&lt;img src="https://track-na2.hubspot.com/__ptq.gif?a=242443477&amp;amp;k=14&amp;amp;r=https%3A%2F%2Fai.sony%2Farchive%2Fsony-ai-at-iclr-2026-research-roundup&amp;amp;bu=https%253A%252F%252Fai.sony%252Farchive&amp;amp;bvt=rss" alt="" width="1" height="1" style="min-height:1px!important;width:1px!important;border-width:0!important;margin-top:0!important;margin-bottom:0!important;margin-right:0!important;margin-left:0!important;padding-top:0!important;padding-bottom:0!important;padding-right:0!important;padding-left:0!important; "&gt;</content:encoded>
      <category>Sony AI</category>
      <category>Imaging &amp; Sensing</category>
      <pubDate>Thu, 23 Apr 2026 23:58:26 GMT</pubDate>
      <guid>https://ai.sony/archive/sony-ai-at-iclr-2026-research-roundup</guid>
      <dc:date>2026-04-23T23:58:26Z</dc:date>
      <dc:creator>Admin</dc:creator>
    </item>
    <item>
      <title>Inside Project Ace: Discover the Robot Athlete That Competes With Professional Table Tennis Players</title>
      <link>https://ai.sony/archive/inside-project-ace-discover-the-robot-athlete-that-competes-with-professional-table-tennis-players</link>
      <description>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://ai.sony/archive/inside-project-ace-discover-the-robot-athlete-that-competes-with-professional-table-tennis-players" title="" class="hs-featured-image-link"&gt; &lt;img src="https://ai.sony/hubfs/Ace_Blog%20Header_Desktop_880x495-3.jpg" alt="Inside Project Ace: Discover the Robot Athlete That Competes With Professional Table Tennis Players" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt; 
&lt;p&gt;&lt;span&gt;On a recent afternoon in Tokyo, &lt;/span&gt;&lt;a href="https://ai.sony/people/Peter-Duerr/"&gt;&lt;u&gt;&lt;span style="color: #1155cc;"&gt;Sony AI Director and Lead Engineer, Peter Dürr&lt;/span&gt;&lt;/u&gt;&lt;/a&gt;&lt;span&gt;, alongside project team members, watched a table-tennis ball vanish and reappear in front of him with narrowed eyes.&lt;/span&gt;&lt;/p&gt;</description>
      <content:encoded>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://ai.sony/archive/inside-project-ace-discover-the-robot-athlete-that-competes-with-professional-table-tennis-players" title="" class="hs-featured-image-link"&gt; &lt;img src="https://ai.sony/hubfs/Ace_Blog%20Header_Desktop_880x495-3.jpg" alt="Inside Project Ace: Discover the Robot Athlete That Competes With Professional Table Tennis Players" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt; 
&lt;p&gt;&lt;span&gt;On a recent afternoon in Tokyo, &lt;/span&gt;&lt;a href="https://ai.sony/people/Peter-Duerr/"&gt;&lt;u&gt;&lt;span style="color: #1155cc;"&gt;Sony AI Director and Lead Engineer, Peter Dürr&lt;/span&gt;&lt;/u&gt;&lt;/a&gt;&lt;span&gt;, alongside project team members, watched a table-tennis ball vanish and reappear in front of him with narrowed eyes.&lt;/span&gt;&lt;/p&gt;  
&lt;img src="https://track-na2.hubspot.com/__ptq.gif?a=242443477&amp;amp;k=14&amp;amp;r=https%3A%2F%2Fai.sony%2Farchive%2Finside-project-ace-discover-the-robot-athlete-that-competes-with-professional-table-tennis-players&amp;amp;bu=https%253A%252F%252Fai.sony%252Farchive&amp;amp;bvt=rss" alt="" width="1" height="1" style="min-height:1px!important;width:1px!important;border-width:0!important;margin-top:0!important;margin-bottom:0!important;margin-right:0!important;margin-left:0!important;padding-top:0!important;padding-bottom:0!important;padding-right:0!important;padding-left:0!important; "&gt;</content:encoded>
      <category>Robotics</category>
      <pubDate>Wed, 22 Apr 2026 14:59:59 GMT</pubDate>
      <guid>https://ai.sony/archive/inside-project-ace-discover-the-robot-athlete-that-competes-with-professional-table-tennis-players</guid>
      <dc:date>2026-04-22T14:59:59Z</dc:date>
      <dc:creator>Admin</dc:creator>
    </item>
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