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SURPRISE WHO WILL PLAY AN OMNIPRESENT ROLE IN 21sT C Cities Operational as well as property architectures?
What "first mile" jobs does your city want humanoid /robots to do?
Its already getting late to ask this question in China or wherever electric cars are rising unstoppably. One answer can be to make sure those asian suoercities leading this connect with the 40 city network that bloo9mberg.org has been developing since 2007 as a space where city governors can share common problems and intelligence franchise common solutions
Thats because there's little difference between the administration of an electric car and a humanoid Both need to safe. Both are recording everything they see. At the same time I dt0oont know a city anywhere in 2025 that doesnt need a lot of work to make it safer, cleaner , happier. There are almost unlimited number of jobs that can make a city better but historically we havent funded them at a good wage. So probably we will be assigning robots to the most repeetitive jobs we need doen with unstoppable energy. What we actually need to do is recreate slow jobs- eg local cooking recipes which also connect with experiences people want to linger around and joyfully celebrate with each other. Japan already does a good job at celebrating food rituals . While the machine can increasingly recommend diets and physical fir exercises etc its connecting them with joyful communities that can create new livelihoods. Actually what keynes foresaw as a new age orf artistic and other emotionally smart ways to build cities and spaces where people co-create.Its todays millennial teachers and students that ought now being preparing for better cities with both teacher and student spending their time completely differently the more ai agents take over some of the responsibility of each child's development.
If you look around the world its interesting how many of these community demands were first specified by people without tech.
Back in 2001, steve jobs hosted the valleys 65th birthday party with fazle abed- the person who has spent 30 years franchising end poverty women empowerment solutions. Mt and Mrs jobs pushed fazle abed into
how to share women empowerment knowhow around the world . Fazle Abed said if we in bangladesh start am ultra intel womens empowerment university will leading universities celebrate their women graduates who want to open up their alumni networks
Within a year Steve Jobs was also starting to0 code pixels with Nvidia's Jensen Huang. The idea of d=coding the world for AI to see and 5-human sense is very different from old programming of binary operating systems. Stanford's rising belief in women engineers is seen in being one if the few places that wanted to back fei-fei li's project as well as early on being the region where doudna jointly built the crispr database and biotech daphne holer cofounded co4rsera with coding whiz andrew ng. Steve also started designing the university in the phone -tragically cancer took him before we might all of seen that steve could have been as much deep learning ai core architects as jensen huang, demis hassabis, yann lecun and elon musk. As the second nvidia decade , west coast usas never lost its mojo and belief in tech can leap forward with humanity the way east coast did with 9/11, wars and col3apsing the financ5a3 system/.
The city will be the place where all sorts of detailed data maps and data franchises can be designed and fast replicated. Which will be open ai's so that millennials have good jobs. Which will be assigned to the robots to do with tireless repetitive precis
In a way satellite data making clouds correponding to deep data community chalenges times accelerated computing is becoming tyhe greatest show on earth- new games and new jobs for old (humans havent chnaged their basic demans not to die unecessaruly, to see their kids grow up with better chnaces that histiry freed them
NTT DATA Launches Artificial Intelligence Center of ...
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May 21, 2019 - Tokyo, May 21, 2019 — NTT DATA established its Artificial Intelligence Center of Excellence (AI CoE) to develop further expertise in artificial ...
NTT DATA Introduces AI Guidelines : Media | NTT DATA
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May 29, 2019 - TOKYO, Japan – May 29, 2019 – NTT DATA today announced its artificial intelligence (AI) ethics guidelines. The guidelines summarize NTT ...
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NTT Data, Google Cloud co-developing new healthcare AI tools
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NTT DATA Introduces AI Guidelines | itelligence North America
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May 31, 2019 - NTT DATA's efforts focus on using AI to achieve a sustainable, diverse, inclusive, and transparent human-centered society, reducing negative ...
NTT DATA Introduces AI Guidelines | itelligence North America
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May 31, 2019 - NTT DATA today announced its artificial intelligence (AI) ethics guidelines. The guidelines summarize NTT DATA's beliefs toward the ...
AI In Banking Use Case #1: NTT DATA Services - Disruptor ...
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Jul 16, 2019 - This interview is part of our new AI in Banking series, where we interview the world's top thought leaders on the front lines of the intersections ...
NTT DATA sets in Barcelona the European headquarters of its ...
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May 21, 2019 - NTT DATA sets in Barcelona the European headquarters of its Artificial Intelligence Centre of Excellence, based at everis Living Lab.
Advanced Initiatives for Contact Center AI | NTT Technical ...
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NTT Media Intelligence Laboratories is carrying out research and development of the application of artificial intelligence technology in contact centers.
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update march 2021
NTT Co-authored Papers at FC21 Reveal Risks and Boost Efficiencies
8:07 AM ET, 02/24/2021 - Business WireTopics Include Selfish Mining Attacks, Differential Privacy and Block Confirmation in the Sleepy Model
SUNNYVALE, Calif.--(BUSINESS WIRE)--Feb. 24, 2021-- NTT Research, Inc., a division of NTT (TYO:9432), and NTT Secure Platform Laboratories, today announced that three papers co-authored by scientists in their groups will be presented at Financial Cryptography and Data Security 2021 (FC21), a virtual conference taking place March 1-5, 2021. Organized by the International Financial Cryptography Association (IFCA), in cooperation with the International Association for Cryptologic Research (IACR), the FC is a forum for research, advanced development, education, exploration and debate regarding information assurance, with a specific focus on commercial contexts. This year’s FC21 is the 25th FC conference. It will feature 12 sessions, 4 workshops and more than 50 papers, including the following:
“Selfish Mining Attacks Exacerbated by Elastic Hash Supply,” Yoko Shibuya, Go Yamamoto, Fuhito Kojima (NTT Research, Inc.), Elaine Shi (Carnegie Mellon University), Shin'ichiro Matsuo (NTT Research, Inc./Georgetown University), Aron Laszka (University of Houston). “Mining” session: Wednesday, March 3, 10:00 am EST (15:00 UTC). This short paper addresses Selfish Mining attacks against Proof-of-Work blockchains, which increase the attacker’s share of mining rewards and decrease the profitability of mining for honest nodes. Previous theoretical analyses have assumed that honest miners will not change their strategy in response to Selfish Mining. This paper demonstrates, using real-world data from three different cryptocurrencies, that there is a statistically significant correlation between profitability of mining and the total hash rate, confirming that miners do indeed respond to changing profitability. Furthermore, this paper shows that depending on the attacker’s initial share, Selfish Mining could lead to a stable equilibrium or to a collapse of a chain. “In contrast to what is widely believed, the Selfish Mining attack is disruptively dangerous and the attacker’s profit is small,” said Go Yamamoto, Senior Scientist, NTT Research. “Instant Block Confirmation in the Sleepy Model,” Vipul Goyal (Carnegie Mellon University/NTT Research, Inc.), Hanjun Li, Justin Raizes (Carnegie Mellon University). “Blockchain Protocols” session: Tuesday, March 2, 10:10 EST (15:10 UTC). Large quantities of stake in blockchain are owned by parties who do not participate in the growth of the blockchain, thereby reducing its security. Recent solutions (i.e., The Sleepy Model of Consensus) enable secure progression even when the majority of parties are offline, but their requirements delay the confirmation of transactions. Existing Byzantine Agreement-based blockchain protocols, such as Algorand, confirm transactions as soon as they appear in the ledger, but are unable to progress when users are not online when mandated. This paper offers an adaptation of Byzantine Agreement-based blockchains to the Sleepy Model, where honest parties are not required to actively participate at all times. “This allows us to bring the advantages of Byzantine Agreement to this relatively new model, which captures the unpredictability of users or investors more accurately,” said NTT Research Senior Scientist and Carnegie Mellon Associate Professor, Vipul Goyal. “Efficient Noise Generation to Achieve Differential Privacy with Applications to Secure Multiparty Computation,” Reo Eriguchi (The University of Tokyo/AIST), Atsunori Ichikawa (NTT Secure Platform Laboratories), Noboru Kunihiro (University of Tsukuba), Koji Nuida (The University of Tokyo/AIST). “Secure Multi-Party Computation” session: Monday, March 1, 11:15 EST (16:15 UTC). This paper provides a general framework and model for secure multi-party computation (MPC) whose outputs satisfy differential privacy, a mechanism for anonymizing data by injecting noise into a data set. The paper proposes two kinds of protocols based on secret sharing. The first is a constant-round protocol that enables parties to jointly generate shares of noise drawn from the discrete Laplace distribution. The second allows parties to non-interactively obtain shares of noise following the binomial distribution by pre-distributing keys for pseudorandom functions in the setup phase. “These new MPC techniques are much more efficient in noise processing than previous protocols,” said Atsunori Ichikawa, NTT Secure Platform Laboratories.In addition to the three sessions noted above, the FC21 program encompasses nine others: “Anonymity and Privacy in Cryptocurrencies,” “System and Application Security,” “Zero-Knowledge Proofs,” “Payment Channels,” “Scaling Blockchains,” “Smart Contracts,” “Authentication and Usability,” “Measurement” and “Cryptography.” The following four workshops are being held in conjunction with FC21: “CoDecFin’21” (2nd Workshop on the Coordination of Decentralized Finance); “DeFi’21” (1st Workshop on Decentralized Finance); “Voting’21” (6th Workshop on Advances in Secure Electronic Voting); and WTSC’21” (5th Workshop on Trusted Smart Contracts).
“Congratulations to the IFCA on its 25th FC conference,” said Tatsuaki Okamoto, Director of the NTT ResearchCryptography & Information Security (CIS) Lab. “We are pleased that papers co-authored by NTT scientists have joined this year’s robust program of research and debate and believe they shed light on critical challenges and ongoing opportunities for improvement in the areas of blockchain and multi-party computation.”
In related news, NTT Research along with UCLA and the University of Washingtonannounced in September 2020 that a paper co-authored by cryptographers affiliated with their respective institutions solved an enduring problem involving indistinguishability obfuscation. In August 2020, NTT Researchannounced that two of the three Best Paper award winners at Crypto 2020 were co-authored by NTT cryptographers; and in April 2020, NTT Researchannounced that a paper co-authored by Brent Waters, a Distinguished Scientist in its CIS Lab, won an IACR Test-of-Time Award. NTT Research has also entered multi-year joint research agreements to advance cryptography and blockchain research with Stanford University, UCLA and Georgetown University.
About NTT Research
NTT Research opened its offices in July 2019 as a new Silicon Valley startup to conduct basic research and advance technologies that promote positive change for humankind. Currently, three labs are housed at NTT Research facilities in Sunnyvale: the Physics and Informatics (PHI) Lab, the Cryptography and Information Security (CIS) Lab, and the Medical and Health Informatics (MEI) Lab. The organization aims to upgrade reality in three areas: 1) quantum information, neuro-science and photonics; 2) cryptographic and information security; and 3) medical and health informatics. NTT Research is part of NTT, a global technology and business solutions provider with an annual R&D budget of $3.6 billion.
NTT and the NTT logo are registered trademarks or trademarks of NIPPON TELEGRAPH AND TELEPHONE CORPORATION and/or its affiliates. All other referenced product names are trademarks of their respective owners. © 2020 NIPPON TELEGRAPH AND TELEPHONE CORPORATION
have you tried nano banana? grok review
Nano Banana (often stylized as "Nana Banana" in casual discussions) is a cutting-edge AI image generation and editing model developed by Google, officially part of the Gemini 2.5 Flash Image suite. Released in mid-2025 as a lightweight, high-speed tool, it's gained massive popularity for its ability to create and modify images using simple natural language prompts—like describing changes in plain English. Think of it as "GPT for images": you upload a photo or describe an idea, and it generates or edits visuals in seconds, preserving key elements like faces or objects with uncanny accuracy. It's not just a fun toy for memes or art; it's designed for real-world efficiency, making it accessible for non-experts (laymen) who want quick, professional-looking results without learning complex software like Photoshop.While its creativity shines in generating wild ideas (e.g., turning a selfie into a 3D figurine or a surreal scene), the real value for everyday users lies in productivity: it saves hours on tasks like content creation, marketing, or personal projects. It's free to start (with usage limits), runs in web browsers, and processes images at 3-5 seconds each—faster than competitors like Midjourney (10-20 seconds) or ChatGPT (5-45 seconds). However, access can be spotty due to high demand, and it's still evolving, so expect occasional glitches like minor distortions or prompt misinterpretations.Below, I'll break it down into essentials for laymen: basics, creative highlights (briefly, as requested), and—most importantly—practical productivity tips. This is based on official Google docs, user guides, and community feedback from 2025.1. The Basics: What Is It and How Do You Get Started?
Final Productivity Advice for Laymen
- Core Functionality: Nano Banana uses AI to generate new images from text descriptions or edit existing ones. It excels at "context-aware" changes—e.g., swap a background without altering the subject's face or pose. It's powered by Google's Gemini models, trained on vast datasets for photorealism, consistency, and speed.
- Access and Cost:
- Free tier available via Google's AI Studio (aistudio.google.com) or integrated into Gemini apps (gemini.google.com). Sign up with a Google account—no tech skills needed.
- Limited to 10-20 generations per day on free; upgrade to paid (via Vertex AI for pros) for unlimited, starting at low costs ($0.039 per image via API).
- Alternatives for testing: Sites like nanobanana.ai or LMSYS Arena (lmarena.ai) offer previews, but official Google access is best for reliability.
- Requirements: A modern browser (Chrome recommended), internet connection, and an image to upload (for edits). No downloads or installs.
- Limitations for Laymen: It's English-prompt focused (though multilingual support is growing). Safety filters block harmful content, and outputs can sometimes warp details if prompts are vague. Always review for accuracy—AI isn't perfect yet.
- Why It's User-Friendly: No coding or design experience required. Just type like you're texting: "Change the background to a beach sunset" and hit generate.
- Generate surreal scenes: "A cat astronaut floating in a candy galaxy" for fun social media posts.
- Style transfers: Turn a photo into a cartoon, oil painting, or 3D figurine (viral trend in 2025 for mini-me avatars).
- Blending: Merge two images, like placing a family photo in a historical setting. Users rave about its "insane" consistency—unlike older tools that scramble faces, it nails details 90% of the time. This creativity boosts engagement (e.g., 2x more likes on edited influencer posts), but for laymen, the productivity payoff is where it shines: turning ideas into polished visuals without hiring a designer.
Use Case | Description & Why Productive | Step-by-Step Tips | Example Prompt | Time Savings |
|---|---|---|---|---|
Product Mockups for E-Commerce/Small Business | Create professional product images without photography studios. Ideal for sellers on Etsy or Amazon. | 1. Upload a plain product photo. 2. Prompt for scene/lighting changes. 3. Generate 3-5 variations. 4. Export and upload to listings. Pro Tip: Use for branding—add logos seamlessly. | "Place this coffee jar on a wooden slab with coffee beans pouring out, ultra-realistic, sharp focus, 4:5 ratio, professional e-commerce style." | 2-3 hours of photo shoots → 5 minutes. |
Social Media Content & Influencer Avatars | Edit selfies for consistent branding (e.g., AI influencers). Boosts engagement without reshoots. | 1. Upload base image. 2. Specify consistency (e.g., "keep face identical"). 3. Batch outfits/backgrounds. 4. Schedule posts. Pro Tip: Save prompts as templates for recurring themes. | "Change outfit to summer dress, background to tropical beach, keep face and pose the same, photorealistic." | 1 hour editing → 30 seconds per post. |
Marketing Ads & Flyers | Design quick visuals for promotions, replacing Canva trials. Great for freelancers or events. | 1. Start with a template image or text-to-image. 2. Add text/elements. 3. Adjust layout. 4. Download as PNG. Pro Tip: Integrate real data like prices for accuracy. | "Convert this product photo into a sleek ad with '50% Off' text, professional layout, vibrant colors." | 4 hours in design software → 2 minutes. |
3D Figurines & Presentations | Turn photos into mini 3D models for fun or pitches (e.g., client avatars). Viral for education/marketing. | 1. Upload photo. 2. Prompt for 3D style. 3. Rotate views if needed. 4. Embed in slides. Pro Tip: Use for virtual events—export to tools like PowerPoint. | "Transform this portrait into a detailed 3D figurine, realistic miniature on a stand, front view." | 1 day modeling → 10 seconds. |
Background Removal/Swaps for Resumes/Profiles | Clean up photos for LinkedIn or job apps without apps like Remove.bg. | 1. Upload image. 2. Describe new background. 3. Ensure subject isolation. 4. Fine-tune if needed. Pro Tip: Specify "seamless blend" to avoid edges. | "Remove the cluttered background and replace with a plain office setting, keep person sharp and centered." | 20 minutes manual editing → Instant. |
Educational Visuals (e.g., Teachers/Students) | Create diagrams or illustrations for lessons, like biology models. | 1. Describe concept. 2. Generate base image. 3. Edit for labels. 4. Print/share. Pro Tip: Link to real data—e.g., "accurate to scale." | "Illustrate a running horse in oil painting style, add wooden frame, educational diagram with labels." | 1 hour drawing → 1 minute. |
Personal Projects (e.g., Family Albums) | Enhance old photos or create custom cards/gifts. | 1. Upload scan. 2. Restore/enhance. 3. Add effects. 4. Batch for albums. Pro Tip: Use "restore colors" for faded images. | "Restore this old family photo, add a festive holiday background, keep faces natural." | Hours scanning/editing → Minutes per image. |
Animation Keyframes | Generate stills for simple videos (e.g., TikToks), then animate in free tools like CapCut. | 1. Create sequence prompts. 2. Generate frames. 3. Import to editor. Pro Tip: Maintain consistency with seeds (random numbers for reproducibility). | "Sequence: Person walking in forest, frame 1: starting pose; keep character identical across edits." | Days storyboarding → 5-10 minutes for 5 frames. |
Bulk Content for Blogs/YouTube Thumbnails | Produce variations for A/B testing thumbnails. | 1. Base prompt for theme. 2. Generate 10+ options. 3. Select via preview. Pro Tip: Use API for automation if scaling up. | "Thumbnail: Excited gamer with controller, vibrant colors, text overlay 'Top Tips', 16:9 ratio—generate 5 variations." | 2 hours designing → Under 1 minute per batch. |
Jewelry/Product Staging | Simulate displays for online shops without props. | 1. Upload item. 2. Add context. 3. Adjust lighting. 4. Export high-res. Pro Tip: Specify "professional lighting" for realism. | "Add a banana necklace to this model, with jewelry showcase lighting and elegant pose." | Studio setup costs/time → Free, instant. |
- Best Practices: Always start prompts with action verbs (e.g., "Replace," "Add," "Transform") and end with style specs (e.g., "photorealistic, high-res"). Test 2-3 variations per idea. Track usage to avoid limits—free tier is great for hobbyists, but pros should explore paid for bulk.
- Common Pitfalls to Avoid: Vague prompts lead to weird results (e.g., say "blizzard background" not "cold scene"). If it fails, simplify or add references (e.g., "like a professional ad"). Ethical note: Don't misuse for deepfakes—Google's filters help, but verify outputs.
- Scaling Up: Integrate with free tools like Google Docs for reports or Canva for finals. For advanced productivity, learn basic API use via Google's docs (no coding needed for basics).
- Future Outlook: As of September 2025, updates are rolling out for video integration, making it even more versatile. Communities like Reddit's r/Bard or X threads share free prompt libraries—join for ongoing tips.
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