AI Contents Archive

Read about our latest work from a research effort called Infinite Nature, which can produce high-quality flythroughs of richly detailed natural landscapes starting from a single seed image, using a system trained only on still photographs → https://t.co/sYKGpz1ivC https://t.co/jQ3hZ5s0aO

In July, we launched No Language Left Behind to more languages in @Wikimedia’s Content Translation tool that helps Wikipedia editors jumpstart article translation — a new report is already showing encouraging impact on usage & translation quality ➡️ https://t.co/OHAP22YLbZ 🧵/5

To fight ransomware, we must treat digital infrastructure as critical https://t.co/qz0MjMlbsB #DataSecurity #Privacy #100DaysOfCode #CloudSecurity #MachineLearning #Phishing #Ransomware #Cybersecurity #CyberAttack #DataProtection #DataBreach #Hackers #infosec

Pandas Basics Cheat Sheet (2023) —  #Python for #DataScience https://t.co/Dq1TicWCNz https://t.co/QO5Ah4WT0Z

15 More Free Machine Learning and Deep Learning Books Check out this second list of 15 FREE ebooks for learning machine learning and deep learning #MachineLearning #DeepLearning #KDnuggets https://t.co/jhr0gWe0th https://t.co/hEV7UFFvVt

✏️ Across all languages, NLLB-200 is seeing the best results for translations modified <10% compared to all other MT services on the platform — a strong signal for the quality of translations that are being generated. 4/5 https://t.co/tnnPoJNDDh

The #Top #Feeder #Schools into #SiliconValley https://t.co/CYo8J6yQ0H #fintech #VC @VisualCap https://t.co/YvCpyshD1K

We’re thrilled about these early signals for how #NLLB is helping more people around the world access and share web content in their native languages. Thanks @Wikimedia for sharing these early results — we’re excited to continue this important work! 5/5

How To Learn #DataScience If You Want To Accomplish Your Goals https://t.co/yYumWYAog3 https://t.co/aQl2WzJmBl

You’ll Self-Destruct if You Learn Coding on Youtube https://t.co/HMpkWd993D https://t.co/1dvtKyoWvi

🚫 NLLB-200 sees only 0.13% of translated content deleted. That’s the lowest percentage across all machine translation services available on the platform, suggesting that the resulting translations are being understood & accepted. 3/5 https://t.co/FnXtRy1RiA

Is Data Science Dead in 10 Years? - True dilemma or alarmist discourse? https://t.co/ro7vwbrIjA https://t.co/sND5AOG5vf

📈 NLLB-200 now represents 3.8% of all machine translations on the platform. This makes it the third most-used machine translation engine across all published translations just four months after launch. 2/5 https://t.co/NpBTOAAHGD

The latest The KDnuggets Observer! https://t.co/qyw8u3sjuh #kdnuggets #machinelearning

Types of Malware #DataSecurity #Privacy #100DaysOfCode #CloudSecurity #MachineLearning #Phishing #Ransomware #Cybersecurity #Malware #CyberAttack #DataProtection #DataBreach #Hackers #infosec https://t.co/K3F6Tnomtm