Artemis II is more than a mission. It’s a signal.
For the first time since Apollo 17, humans are leaving low Earth orbit again and heading toward the Moon. Not to prove we can go, but to prove we can stay.
This is the shift from exploration to infrastructure.
#SpaceEconomy
LIVE: Watch with us as the Artemis II astronauts make their closest approach to the Moon, traveling farther from Earth than ever before. https://t.co/Zpy7GdTqA8
LIVE: Watch with us as the Artemis II astronauts make their closest approach to the Moon, traveling farther from Earth than ever before. https://t.co/Zpy7GdTqA8
Children's Hospital of Philadelphia Marks One-Year Anniversary of World's First Personalized CRISPR Gene Therapy for Child with Rare Genetic Disease | Morningstar https://t.co/Frm0h0kciV
Service and Information Update ℹ️
Environment and Climate Change Canada has issued a significant snowfall warning for #Brampton with accumulations of up to 20 centimetres beginning in the afternoon on Wednesday, January 14, through to the evening on Thursday, January 15.
Here's what you need to know 🔗: https://t.co/ONZScpQANZ
🚨BREAKING: OpenAI just released prompt packs for every job.
You can now access ready-to-use prompts:
→ IT
→ Sales
→ Product
→ Managers
→ Marketing
→ Engineers
→ Executives
→ Customer Success
Government of Canada launches AI Strategy Task Force and public engagement on the development of the next AI strategy - https://t.co/Rui96bL7Pc https://t.co/VQkvWZCFB3
The RAISE Grant Program 2025–26 is now open.
$10,000 grant plus training, coaching, and networking for Indigenous, Black, and racialized entrepreneurs in Ontario.
Deadline: October 1, 2025 at 5 PM EDT
Apply here: https://t.co/2dSP9x27S7
More info: https://t.co/1WK0ZTUAtQ
Grok has really changed the AI game.
People are coming up with wild use cases that were not being done outside of ChatGPT & Claude. There's a major shift.
10 examples:
1. GTA AI before GTA 6: Code = Grok, Assets = Hunyuan 3D
Deep Learning Roadmap https://t.co/C8kpeZkPE2
1. Maths & Statistics → Build a strong mathematical foundation (algebra, probability, statistics).
2. Python → Learn Python programming (it’s the most widely used language in AI/ML).
3. Data Wrangling → Learn how to clean, organize, and preprocess raw data.
4. Machine Learning Concepts → Understand basic algorithms and theories of Machine Learning.
5. Deep Learning Algorithms → Learn neural networks, CNN, RNN, and similar algorithms.
6. Deep Learning Frameworks → Learn tools like TensorFlow and PyTorch.
7. CV & NLP Using Deep Learning → Work on Computer Vision (image processing) and NLP (language processing) projects.
8. SQL & NoSQL → Learn SQL/NoSQL to work with data from databases.
9. Deploying Models → Learn how to run your trained models in web or app environments.
10. Projects & Resume → Build your own projects and add them to your resume.
11. SUCCESS!!! → Completing these steps will give you the skills needed to start a career in Deep Learning.
For researchers, scientists, and academics tackling hard problems: Gemini 2.5 Deep Think is here. 🤯
It doesn't just answer, it brainstorms using parallel thinking and reinforcement learning techniques. We put it into the hands of mathematicians who explored what it can do ↓