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Use AI to speak another language
Hunter Kallay
November 20, 2024
Good morning, and happy Wednesday! Are you looking for the hottest AI updates? If so, start scrolling. 😜
🤯 MYSTERY AI LINK 🤯
(The mystery link can lead to ANYTHING AI-related: tools, memes, articles, videos, and more…)
Today’s Menu
Appetizer: Microsoft Teams to roll out live language translation 🗣️
Entrée: AI detects undiagnosed liver disease 🙏
Dessert: Microsoft unveils custom AI chips 💾
🔨 AI TOOLS OF THE DAY
🤬 Reddit Roast: Get your Reddit account roasted. → Check it out
📺 Dejams: Find something to watch. → Check it out
💡 AFNG: Discover the perfect name for your story or idea. → Check it out
MICROSOFT TEAMS TO ROLL OUT LIVE LANGUAGE TRANSLATION 🗣️
“AI” is one word that doesn’t need translation. 🤖
What’s up? Microsoft Teams is planning to roll out a tool called “Interpreter,” which aids in real-time speech translation.
How will this work? Slated for release in January, Interpreter in Teams will allow users to speak or listen to meeting participants in their preferred language, without any translation delays. Powered by AI, it even mimics your own voice tone and inflection in a different language. The feature will start with nine languages, with plans to add more later. Teams will also improve transcription for multilingual meetings, supporting up to 31 languages in meeting transcripts.
“Imagine being able to sound just like you in a different language. Interpreter in Teams provides real-time speech-to-speech translation during meetings, and you can opt to have it simulate your speaking voice for a more personal and engaging experience.”
AI DETECTS UNDIAGNOSED LIVER DISEASE 🙏
Image made with Grok
Every day, it seems like AI is making waves in the medical field. ⛑️
What’s new? A new study found that AI can detect undiagnosed liver disease in the early stages.
How does this work? Researchers at the University of Washington Internal Medicine Residency Program used an AI algorithm to analyze electronic health records (EHRs), successfully identifying early-stage metabolic-associated steatotic liver disease (MASLD), a condition where excess fat builds up in the liver. MASLD, the most common liver disease affecting 4.5 million U.S. adults, is linked to obesity, type 2 diabetes, and abnormal cholesterol. In the study, AI found that 834 patients met MASLD criteria, yet 83% lacked an official diagnosis.
Why is this significant? Liver disease often goes undiagnosed until its later stages, but early detection can be life saving. This advancement underscores the potential of AI in diagnostics. The researchers have been quick to note that such technology is not meant to replace human care, but is rather to be viewed as a tool that can support and enhance human abilities to provide care.
“People should not interpret our findings as a lack of primary care training or management. Instead, our study shows how AI can complement physician workflow to address the limitations of traditional clinical practice.”
MICROSOFT UNVEILS CUSTOM AI CHIPS 💾
Microsoft’s Azure Boost DPU (Image: Microsoft)
If we could find a way to power AI with French fries instead of chips, we would have some extra crispy innovations! 🍟
What’s new? Microsoft has unveiled two proprietary chips for its Azure cloud platform: the Azure Boost DPU (data processing unit) and the Azure Integrated HSM (hardware security model), both designed to enhance performance and security in data centers.
The Azure Boost DPU is Microsoft’s first DPU, engineered to handle tasks like networking, storage, and data processing. By offloading these jobs from CPUs, the DPU boosts efficiency and reduces power consumption. Microsoft claims this new DPU delivers four times the performance of current storage servers while using three times less energy. | The Azure Integrated HSM is a new chip designed to securely store encryption and signing keys. Starting next year, it will be installed in all new Azure servers, bolstering protection for workloads without sacrificing speed. |
Why is this important? Microsoft has long relied on chips from Nvidia, but supply has been unable to meet growing demands. As a result, tech giants have been left to their own devices (quite literally). Additionally, as AI becomes more advanced, customized hardware is becoming a vital way to conserve energy, enhance security, and tailor the design to the desires of the company.
“WATCH THIS” WEDNESDAY 👀
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