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Another great breakdown! I really like that you showed some examples of it working in action! With how quickly things are advancing, it worries me too, what jobs will be left for us mere humans (joking but also kind of serious....)
True, the robots might take our jobs, but they’ll never take our ability to binge-watch shows and procrastinate! People who learns AI more might take your Job
Great question! No, GPT-o1 and OpenAI o1 refer to the same model series from OpenAI, focused on advanced reasoning. GPT-o1 is part of the OpenAI o1 series, which is designed to excel at complex problem-solving tasks in areas like coding, math, and scientific research. Both names are used to refer to the same model, with OpenAI o1 often emphasizing its broader applications and integration in the OpenAI ecosystem.
Thank you for watching! I always appreciate your engagement with my content. Meetings can be tough, but hopefully, my video helps lighten the load a bit!
I’m really glad you’re enjoying the video! Those features are designed to make things easier and more efficient for everyone. i used @gmail to ask important email i received for the last week,
It's true, the variety of AI tools can be overwhelming! Personally, I really enjoy using Google AI for coding and ease of use and analyzing a video. What about you?
My email & file system are hosted in Microsoft 365. So, I have to use Copilot. But the free Copilot does not provide similar capability of Gemini. I plan to use Copilot for Microsoft 365 which is $360/year, pretty expensive...
The major improvement of Llama 3 compared to Llama 2 is its enhanced performance and ability to understand context better, making interactions more fluid and insightful! please see ollama.com/blog/llama3
This is awesome!!! Amazing that it can pull info from hand written notes, I am going to have to try as my handwriting is super messy. It would be great to scan in old notebooks and have the notes arranged by date or to be able to search the notebook for a keyword 🤯
Using Azure Document Service can indeed provide a higher level of security for your documents compared to using a general chat interface like ChatGPT 4.0. Here are some key points to consider: Data Privacy and Security: Azure Document Service is designed with enterprise-grade security measures, including encryption at rest and in transit, compliance with various industry standards, and robust access controls1. This ensures that your documents are protected from unauthorized access. Data Usage: When you use Azure services, your data remains within your control. Microsoft does not use your data for training their models unless you explicitly allow it1. This contrasts with some general AI services where user data might be used to improve the model. Compliance: Azure services comply with a wide range of regulatory requirements, including GDPR, HIPAA, and more1. This makes it a suitable choice for handling sensitive or regulated data. Advanced Features: Azure Document Service integrates with other Azure AI tools, providing advanced features like automated document processing, content extraction, and more, all while maintaining high security standards2. In summary, if document security and control over data usage are your top priorities, Azure Document Service is a robust choice. It offers enhanced security features and ensures that your data is not used for model training without your consent.
Great question! Both Azure AI Document Intelligence and ChatGPT have their unique strengths, and the best choice depends on your specific needs. Here’s a comparison to help you decide: Azure AI Document Intelligence Specialized Document Processing: Azure AI Document Intelligence (formerly known as Azure Form Recognizer) is designed specifically for extracting information from various document types, such as scanned PDFs, images, and forms. It excels at handling structured data and complex document layouts1. Integration with Azure Services: It integrates seamlessly with other Azure services, providing a robust and secure environment for enterprise applications. This includes features like network isolation, compliance, and governance2. Customization: You can fine-tune models using your own data, allowing for highly customized solutions tailored to your specific document processing needs2. Accuracy and Efficiency: It offers high accuracy in extracting data from documents, reducing manual data entry and improving efficiency1. ChatGPT General-Purpose Conversational AI: ChatGPT is a versatile language model that can handle a wide range of tasks, from answering questions to generating text. It’s great for conversational interfaces and general-purpose use3. Natural Language Understanding: It excels at understanding and generating human-like text, making it ideal for applications that require natural language interaction3. Ease of Use: ChatGPT can be easily integrated into various applications to enhance user interactions, such as customer support chatbots or content generation3. Cost-Effective: For tasks that don’t require specialized document processing, ChatGPT can be a more cost-effective solution3. Choosing the Right Tool For Document-Centric Tasks: If your primary need is to extract and process data from documents, Azure AI Document Intelligence is the better choice due to its specialized capabilities and integration with Azure’s enterprise features. For Conversational AI: If you need a versatile AI for general-purpose tasks, natural language understanding, or enhancing user interactions, ChatGPT is more suitable. Would you like more details on how to implement either of these solutions?
AI and blockchain teaming up in the gym world? It's like having a personal trainer who also handles your membership payments securely!, I will cover a topic of ai used in Blockchain
To log in to the Azure portal, you will need the following: 1. **Azure Account**: You must have a registered Azure account. If you don't have one, you can sign up for a free account on the Azure website. 2. **Email Address and Password**: Use the email address and password associated with your Azure account. 3. **Multi-Factor Authentication (MFA) (if enabled)**: If your account is set up with MFA, you'll need to provide an additional verification code sent to your phone or email, or use an authentication app. Once you have these, you can log in by going to the Azure portal, entering your email address and password, and completing any additional security steps if required.
Both Azure AI Service and Google Spatial API have their own strengths and ease of use. It really depends on your specific needs and familiarity with the platforms.
This is going to be synonymous with using a calculator. Remember when teachers used to tell you that you had to learn math because you wont be carrying one in your pocket...
Tesla Autopilot uses various forms of AI (Artificial Intelligence) to enable its advanced driver-assistance features. Computer Vision: Tesla uses neural networks to process images captured by the car's cameras. These neural networks are trained to recognize objects such as other vehicles, pedestrians, lane markings, traffic signs, and obstacles. Sensor Fusion: The system combines data from multiple sensors (cameras, radar, ultrasonic sensors) to create a comprehensive understanding of the environment around the vehicle. This fusion helps improve the accuracy and reliability of object detection and tracking. Deep Learning: Tesla leverages deep learning techniques to train its AI models. These models learn from vast amounts of data collected from Tesla vehicles on the road. The more data the models process, the better they become at making accurate predictions and decisions. Path Planning: AI algorithms are used to plan the vehicle's path based on the current road conditions, traffic, and the intended destination. These algorithms help the car make real-time decisions about acceleration, braking, and steering. Behavioral Prediction: AI is used to predict the behavior of other road users. By analyzing patterns and movements, the system can anticipate actions such as a pedestrian crossing the road or a car merging into the lane. Self-Improvement: Tesla continuously updates and improves its AI models through over-the-air software updates. This allows the system to learn from new data and improve its performance over time.
The idea of quantum analysis on the human genome would offload the probabilities of experimental drugs on the population. It would also offer a more personalized medicine for individuals as opposed to population averages (which often dismiss outlier outcomes)
quantum analysis of the human genome has the potential to transform personalized medicine and the development of experimental drugs. By leveraging the power of quantum computing, we can achieve more accurate predictions, efficient drug development, and tailored treatments that consider individual genetic variations, ultimately leading to better health outcomes for all.
I wonder how AI can rationalize the idea of the fermi paradox since its just a theory with no real substantive evidence. On a different note, i do appreciate the added functionality of AI in piloting huge systems like spaceships...in a lot of airline disasters if the pilot had just turned on the autopilot instead of manual override, disasters would have been avoided. Want to see more of that in regular airline travel.
AI can contribute to the discussion around the Fermi Paradox in Data Analysis, Simulations, Hypothesis Testing, Pattern Recognition, Exploring Philosophical Implications. However, it is crucial to note that AI cannot provide definitive answers to the Fermi Paradox due to the lack of direct evidence. The paradox involves many uncertainties and unknowns, and any conclusions drawn by AI would be based on the assumptions and data provided by human researchers. Thus, AI can be a powerful tool to aid in the exploration and understanding of the Fermi Paradox, but it cannot resolve the paradox on its own.
So happy you liked the spatial analysis part! We'll definitely dive deeper into sustainable tech opportunities with AI in upcoming videos. Maybe used in Location feasibility to Determining if a location is feasible for certain systems
For those who want to try it online, click the link: [portal.vision.cognitive.azure.com/gallery/featured](portal.vision.cognitive.azure.com/gallery/featured)
The text extraction feature and image tagging/description looks awesome! I am very glad they said they built this at its core off of ethical and secure use, some very powerful technology that will collect a lot of data on people everywhere.
The Falcon 9, Dragon capsule, Starlink, and Starship are integral components of SpaceX's ambitious space exploration and satellite deployment initiatives. Each plays a unique role within the company's broader mission to revolutionize space travel and communication. Falcon 9 The Falcon 9 is a reusable two-stage rocket designed and manufactured by SpaceX for the reliable and safe transport of satellites, cargo, and crew into space. Its primary function is to serve as the launch vehicle for various payloads, including the Dragon capsule and Starlink satellites. The reusability of the Falcon 9’s first stage significantly reduces launch costs and enhances operational efficiency (DexLab Analytics) (Tech Newsday) . Dragon Capsule The Dragon capsule, which comes in both Cargo Dragon and Crew Dragon variants, is designed to transport cargo and astronauts to and from the International Space Station (ISS) and other destinations. It is launched into space atop the Falcon 9 rocket. The Crew Dragon is equipped with life support systems and safety features necessary for human spaceflight, whereas the Cargo Dragon focuses on transporting supplies and scientific equipment (DexLab Analytics) (Tech Newsday) . Starlink Starlink is SpaceX’s satellite internet constellation project aimed at providing global high-speed internet coverage, especially in underserved and remote areas. The Falcon 9 rocket plays a crucial role in deploying the Starlink satellites into low Earth orbit. Each Falcon 9 launch can carry dozens of Starlink satellites, steadily building up the constellation required for the network’s functionality (DexLab Analytics) (Tech Newsday) . Starship Starship represents SpaceX’s next-generation spacecraft designed for deep space missions, including potential voyages to the Moon and Mars. Unlike the Falcon 9, Starship is a fully reusable spacecraft intended to carry larger payloads and more passengers over greater distances. While Falcon 9 and Dragon handle current missions to the ISS and satellite deployments, Starship is envisioned as the vehicle that will take human space exploration to new frontiers
Wow, this video was great; I loved seeing the evolution of the space shuttles, the technology and their progress. I think I will see people land on Mars in my life time, not sure about living there but touching down for sure. Another amazing video with fascinating information!
Best video yet and a super overview. I would love to see a deeper dive into how AI was used specifically in one of the many areas you mentioned. Keep them coming.
Here’s a brief timeline of key milestones related to their mission to Mars: 2002: SpaceX is founded by Elon Musk with the goal of reducing space transportation costs to enable the colonization of Mars. 2004: SpaceX is developing its first rocket, the Falcon 1, which is aimed at providing a cost-effective way to reach orbit. 2008: After several failed attempts, SpaceX successfully launches the Falcon 1, making it the first privately developed liquid-fueled rocket to reach orbit. 2010: The Falcon 9 rocket successfully launches, providing a more powerful option for heavier payloads. 2012: SpaceX's Dragon spacecraft becomes the first commercial spacecraft to deliver cargo to the International Space Station (ISS). 2014: NASA awards SpaceX a contract to develop a crewed version of the Dragon, known as Crew Dragon. 2016: Elon Musk unveils SpaceX's Interplanetary Transport System (later renamed Starship), designed for missions to Mars and beyond. 2020: SpaceX successfully launches astronauts to the ISS with the Crew Dragon, marking the first crewed orbital launch by a private company. 2023: SpaceX continues to develop and test the Starship rocket, aiming for a potential Mars mission within the decade. The timeline highlights SpaceX’s progression from a fledgling company to a major player in space exploration, with its sights firmly set on Mars.
So far Quantum Computing can only be used for some specific problems, a generic algorithm in Quantum Computing is much more desirable which will truly change our lives.
While it’s true that quantum computing is currently limited to specific problems, there are also generic quantum algorithms that have the potential to revolutionize various fields, while quantum computing has made significant strides, a truly generic algorithm remains an exciting goal-one that could indeed change our lives once realized
It mentioned two basic concepts in quantum computing: superposition and entanglement, which is important. What’s the biggest problem in quantum computing?
The three main challenges we'll look at include quantum decoherence, error correction, and scalability. Each is a major hurdle on the road to quantum computing, and must be overcome if the technology is to reach full potential.
The new Siri, powered by Apple Intelligence, will be available on compatible iPhones, iPads, and Macs when iOS 18 launches this fall. However, it will initially be in beta form, allowing Apple to address any issues over time. Exciting times ahead! 😊
When it comes to password management, I trust companies who do only password management, who make password management app both Apple & Windows friendly.
It's important to trust companies that specialize in password management for security. however when Apple has it's own password management it's easier to sync with all Apple product, see my reply to other user.
Do you think the new Passwords App will be abler to compete with the current market leaders? Is there any AI built into it or just a password manager? What do you think of its security robustness?
Apple's new Passwords App, announced at WWDC 2024, is designed to sync across various devices and platforms, including iPhone, iPad, Mac, Vision Pro, and even Windows computers. It's a standalone app that builds upon the existing iCloud Keychain features, providing a more accessible and organized way to manage passwords Regarding AI integration, while the Passwords App itself is primarily a password manager, Apple has been enhancing its software with AI features across the board. For instance, they introduced Apple Intelligence and a Siri makeover at WWDC 2024, which indicates a broader push into AI integration. However, specific details on AI within the Passwords App have not been highlighted in the information available. In terms of security robustness, Apple's password management system, including the new Passwords App, uses AES 256-bit encryption for data storage and transmission, which is a strong industry standard⁸. The system also supports two-factor authentication, adding an extra layer of security. Additionally, the app alerts users to potential security vulnerabilities, such as weak or reused passwords. This proactive approach to security, along with the encryption standards, suggests that Apple is committed to maintaining robust security for its Passwords App. Overall, the Passwords App seems well-positioned to compete with market leaders like 1Password and LastPass, especially considering Apple's ecosystem and the seamless integration across devices. Its success will likely depend on user experience, additional features, and continued commitment to security.
Thanks for sharing! This is useful. I didn’t know much about Google Gemini before watching this video. There are now more AI tool options for people to choose from based on their pros and cons.
