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Does AI dream of electric patents? Google faces a legal problem: lawyers are unsure if they could patent plans created by AI algorithms. The company had filed patents describing a ML technique used to design and map out components in the custom AI accelerator TPU chips. However, US laws recognize and protect intellectual property created only by "natural persons". Although Google engineers built AI models, after training algorithms generated their products automatically with minimal human effort. Therefore, a legal catch arises: is it permissible to patent the outputs created by these systems? During the meeting held by US Patent and Trademark Office, Laura Sheridan, senior patent counsel at Google, said that company pursued only patterns on ML models, not the floorplans it had created. This case remains an important issue for the entire IT industry nevertheless. AI technologies already produce a lot of outcomes that could become valuable intellectual property for a business and entrepreneurs. ML systems can, for example, write a code, hunt for new drugs, and create digital art. That is why application of the patent laws to the AI algorithms’ outcomes should be clarified in the shortest time. #AI#ML

Researchers at MIT, Stanford University, Intelligence Lab, and the Autodesk AI Lab developed AI that can figure out Lego Instructions Scientists collaborated to develop a learning-based framework that can travel 2D instructions to build 3D objects. This system called the Manual-to-Executable-Plan Network (MEPNet) was successfully tested on Lego sets and Minecraft-style building plans. So it will definitely help people who were driven mad with confusing Lego manuals. But the key idea is to integrate neural 2D keypoint detection modules and 2D-3D projection algorithms for high-precision prediction of unseen components. Interpreting 2D instructions could be tricky for AI. The key problems are identifying correspondence between 2D and 3D objects, and dealing with a lot of basic objects, which could be assembled into complex forms. «It requires inferring 3D poses of unseen components composed of seen primitives," the researchers said. At first, MEPNet analyses the current state of Lego set and creates 3D model of all components. Then the algorithm predicts a set of 2D keypoints and masks for each component. Once that's done, the 2D keypoints "are back-projected to 3D by finding possible connections between the base shape and the new components." The combination "maintains the efficiency of learning-based models, and generalizes better to unseen 3D components," the team wrote. The full paper of MEPNet is available via the link. And the algorithm’s code is also posted on GitHub. #AI#ML

▎Office AI助手 Microsoft Office/WPS的AI插件，它帮解决"打勾（√）符号怎么输入?"、"怎么在插入表格前添加文字?"、"该用哪个公式“等，能太复杂不知道哪里找的问题。 你只需要告诉助手要做什么或算什么内容，AI自动帮您完成对应的功能或公式，同时AI助手具备周报整理、会议纪要，内容总结、润色等功能。 这些工具很适合偶尔使用办公软件，不太熟悉操作的，通过对话的形式编辑内容，还是很有帮助的。不过感觉未来官方一定会继承这类工具，这对第三方工具来说也是一个挺大的挑战。 #办公#office#ai

#python#AI#ML 😉 Essentials of Python for Artificial Intelligence and Machine Learning (2024) ----- Main channel: @repo_science Coupons: @freecoupons_reposcience -----

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🤖AI工具： 生成视频字幕 https://github.com/openai/whisper AI编程助手 https://www.aicodehelper.com/ AI在几秒钟内生成您的企业电子邮件 https://github.com/shengxinjing/email-helper AI自动做PPT https://beta.tome.app/ AI辅助决策 https://rationale.jina.ai/ AI修复人像老照片 https://www.restorephotos.io/ 一段文本是人类写的还是AI的 https://openai.com/blog/new-ai-classifier-for-indicating-ai-written-text/ AI生成摘要 https://www.parabol.co/blog/332-ai-generated-summaries/ #合集#AI

Gavin Newsom; Now that's what we call a takedown #Trump#Newsom#AI 👂More on Trump's Ear

📌SIGNAL ID: #B305 COIN:#TON/USDT (3-5x) Direction: LONG ➖➖➖➖➖➖➖ ENTRY: 2.56 - 2.58 TARGETS: 2.63 - 2.70 - 2.80 - 2.93 - 3.14 STOP LOSS: 2.48 TON/USDT confirms a bullish breakout on the 4H with volume surge and EMA ribbon aligned for continuation. MACD bullish cross and rising momentum support the long entry between 2.56-2.58. Key level to hold is the 2.48 stop loss; first target at 2.63, last target at 3.14. ➖➖➖➖➖➖➖ — Bitcoin Bullets® Trading 🔥 Join VIP for real-time signals → @JOETHECEO

📌SIGNAL ID: #B298 COIN:#TON/USDT (3-5x) Direction: LONG ➖➖➖➖➖➖➖ ENTRY: 1.95 - 1.96 TARGETS: 2.00 - 2.03 - 2.09 - 2.17 - 2.30 STOP LOSS: 1.89 TON/USDT confirms a bullish breakout on the 4H with EMA ribbon aligned and MACD crossing bullish alongside rising momentum and volume surge. Daily trend supports the move, making entry at 1.95-1.96 valid for targets at 2.0 and 2.3. Key level to hold is 1.89 stop loss. ➖➖➖➖➖➖➖ — Bitcoin Bullets® Trading 🔥 Join VIP for real-time signals → @JOETHECEO

📌SIGNAL ID: #B295 COIN:#TON/USDT (3-5x) Direction: LONG ➖➖➖➖➖➖➖ ENTRY: 1.73 - 1.74 TARGETS: 1.76 - 1.79 - 1.83 - 1.89 - 1.98 STOP LOSS: 1.67 TON/USDT confirms a breakout on the 4H with volume surge and bullish MACD cross, supported by a daily bullish trend and aligned EMA ribbon. Momentum is accelerating, backing a long entry between 1.73-1.74. Key levels: stop loss at 1.67, targets at 1.76 and 1.98. ➖➖➖➖➖➖➖ — Bitcoin Bullets® Trading 🔥 Join VIP for real-time signals → @JOETHECEO

📌SIGNAL ID: #B292 COIN:#TON/USDT (3-5x) Direction: LONG ➖➖➖➖➖➖➖ ENTRY: 1.64 - 1.65 TARGETS: 1.67 - 1.69 - 1.72 - 1.76 - 1.83 STOP LOSS: 1.59 TON/USDT confirms a bullish breakout on the 4H with EMA ribbon aligned and MACD crossing bullish, signaling strong upside momentum. Daily trend supports the long bias, reinforced by volume confirmation. Key level to watch: hold above 1.59 to maintain structure, targets at 1.67 and 1.83. ➖➖➖➖➖➖➖ — Bitcoin Bullets® Trading 🔥 Join VIP for real-time signals → @JOETHECEO

🇺🇿🇰🇷Adju universiteti dekani Biznes va tadbirkorlik oliy maktabida maxsus ma’ruza o‘tkazdi 🇺🇿 Biznes va tadbirkorlik oliy maktabida Koreya Respublikasining Adju universiteti huzuridagi Xalqaro tadqiqotlar oliy maktabi (GSIS) dekani, professor Byeong Yun Chang tomonidan maxsus ma’ruza (Special Lecture) o‘tkazildi. “Management in the Era of AI” (“Sun’iy intellekt davrida boshqaruv”) mavzusidagi ma’ruza doirasida oliy maktab professor-o‘qituvchilari, MBA magistratura tinglovchilari va mehmonlar zamonaviy boshqaruv jarayonlarida sun’iy intellektning o‘rni va ta’siri borasida yangi bilim va amaliy ko‘nikmalarga ega bo‘ldilar. Ma’ruza davomida professor Chang quyidagi yo‘nalishlarga alohida e’tibor qaratdi: • Sun’iy intellekt davrida shakllanayotgan yangi boshqaruv yondashuvlari; • Raqamli texnologiyalar va AI vositalarining tashkilot boshqaruviga ta’siri; • Samarali qaror qabul qilish mexanizmlari va innovatsion strategiyalarni ishlab chiqish; • Zamonaviy menejment konsepsiyalarining amaliyotda qo‘llanilishi. Maxsus ma’ruza ingliz tilida o‘tkazildi va ishtirokchilarga sun’iy intellekt shiddat bilan rivojlanayotgan davrda yetakchilik va boshqaruvning zamonaviy talqinlarini chuqur o‘rganish imkonini berdi. 🇷🇺RU 🇬🇧ENG #GSBE#GraduateSchool#Masterclass#Management#AI 🔝Web-site |🔝Facebook | 🔝Instagram | 🔝Youtube