Google Bard’s Best Version Yet
Plus: Intel’s ‘AI PC’, DeepMind's AI to predict genetic diseases.
Hello Engineering Leaders and AI Enthusiasts!
Welcome to the 108th edition of The AI Edge newsletter. This edition brings you Google Bard’s best version yet.
And a huge shoutout to our incredible readers. We appreciate you! 😊
In today’s edition:
🔥 Google Bard’s best version yet
🤖Intel’s ‘AI PC’ can run generative AI chatbots directly on laptops
🧬 DeepMind’s new AI can predict genetic diseases
📚 Knowledge Nugget: What makes a good AI co-pilot? by
Let’s go!
Google Bard’s best version yet
Google is rolling out Bard’s most capable model yet. Here are the new features:
Bard Extensions in English- With Extensions, Bard can find and show you relevant information from the Google tools you use every day — like Gmail, Docs, Drive, Google Maps, YouTube, and Google Flights and hotels — even when the information you need is across multiple apps and services.
Bard’s “Google it”- You can now double-check its answers more easily. When you click on the “G” icon, Bard will read the response and evaluate whether there is content across the web to substantiate it.
Shared conversations- When someone shares a Bard chat with you through a public link, you can continue the conversation, ask additional questions, or use it as a starting point for new ideas.
Expanded access to existing English language features- Access features such as uploading images with Lens, getting Search images in responses, and modifying Bard’s responses– to 40+ languages.
These features were possible because of new updates made to the PaLM 2 model.
Why does this matter?
These updates make Bard versatile and respond with greater quality and accuracy. The ‘Google it’ button is also a step toward building trust with language models. These strides show Google's determination to stay competitive in AI, as it is also locked in a race with OpenAI to launch the next generation of multimodal AI models.
Intel’s ‘AI PC’ can run generative AI chatbots directly on laptops
Intel’s new chip, due in December, will be able to run a generative AI chatbot on a laptop rather than having to tap into cloud data centers for computing power. It is made possible by new AI data-crunching features built into Intel's forthcoming "Meteor Lake" laptop chip and from new software tools the company is releasing.
Intel also demonstrated laptops that could generate a song in the style of Taylor Swift and answer questions in a conversational style, all while disconnected from the Internet. Moreover, Microsoft's Copilot AI assistant will be able to run on Intel-based PCs.
Why does this matter?
This will let businesses test ChatGPT-style AI models without sending sensitive data off their own computers. Intel seems to be on track to become the lead chip manufacturer again, competing with Nvidia to make powerful chips that train AI systems such as ChatGPT and Stability AI’s models.
DeepMind’s new AI can predict genetic diseases
Google DeepMind’s new system, called AlphaMissense, can tell if the letters in the DNA will produce the correct shape. If not, it is listed as potentially disease-causing.
Currently, genetic disease hunters have fairly limited knowledge of which areas of human DNA can lead to disease and have to search across billions of chemical building blocks that make up DNA. They have classified 0.1% of letter changes, or mutations, as either benign or disease-causing. DeepMind's new model pushed that percentage up to 89%.
Why does this matter?
AI is changing nearly everything we do at the moment and might revolutionize molecular biology and life sciences, too. This development is expected to speed up diagnosis and help search for better genetic disease treatments.
📚Knowledge Nugget: What makes a good AI co-pilot?
Clippy, Siri, and Cortana were here long before the hype for AI copilots began. But their success was limited. Why? (I guess here’s why🤦♂️)
Solving such flawed aspects using LLMs has changed the game around AI assistants.
In this interesting article,
discusses what AI Assistants (=co-pilots) look like today, what distinguishes them from smart chatbots and not-so-smart speech assistants, as well as a checklist of five properties that separate great from not-so-good co-pilots.Why does this matter?
Co-pilots enable us to harness the true potential of AI and LLMs. It also helps shape the way we interact with technology and the extent to which AI can assist us in our daily lives.
What Else Is Happening❗
🩺Oracle brings voice-activated AI to healthcare with Clinical Digital Assistant (Link)
🛡️OpenAI launches a red teaming network to make its models more robust (Link)
🎓IBM plans to train 2M individuals in AI by 2026, prioritizing underrepresented communities (Link)
🎧ElevenLabs launches Projects, its advanced solution to create high-quality audiobooks in minutes (Link)
🥞Toyota Research Institute is using generative AI to teach robots how to make breakfast (Link)
💰Accenture invests in Writer to accelerate enterprise use of generative AI (Link)
🛠️ Trending Tools
Starving Robots AI: Print AI art in stunning quality with advanced upscaling technology.
Focusdoro: Plan your day and focus with built-in AI timers.
MonsterImage.AI: Create images with AI using geometric patterns.
PreloaderAI: Optimize your website’s speed with AI-generated loaders.
RandomSeed Playground: Create spiral artworks with AI, including brand logos and more.
Sumz.AI: Summarize Amazon reviews instantly with advanced AI for informed shopping.
DEVI: Generate AI websites & landing pages in 30 seconds with free hosting and SEO.
Shortwave AI: Supercharge email productivity with our AI Assistant in your inbox
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🤩Wednesday WOW!
Probably the future of ☕️coffee shops?
Savor your Caramel Macchiato and privacy while it lasts😅
(Source)
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