Welcome! Here, we showcase the latest advancements and insights in data science and artificial intelligence. Dive into our curated collection of trends, topics, and discussions, and stay at the forefront of Data Science / AI developments. Join us in exploring the cutting-edge of technology and innovation.
Posted on: December 27, 2023
Top Universities for Computer Vision Research in the U.S. 1. Massachusetts Institute of Technology (MIT) 2. Stanford University 3. Carnegie Mellon University (CMU) 4. University of California, Berkeley (UC Berkeley) 5. California Institute of Technology (Caltech) 6. University of Illinois... ...moreTop Universities for Computer Vision Research in the U.S.
1. Massachusetts Institute of Technology (MIT)
2. Stanford University
3. Carnegie Mellon University (CMU)
4. University of California, Berkeley (UC Berkeley)
5. California Institute of Technology (Caltech)
6. University of Illinois at Urbana-Champaign (UIUC)
7. Princeton University
8. Georgia Institute of Technology (Georgia Tech) ...less
Posted on: December 26, 2023
CRAFT is a collaboration with the Graduate School of Education and Institute for Human-Centered AI. CRAFT is a collection of co-designed free AI Literacy resources about AI for high school teachers, to help students explore, understand, question, and critique AI.... ...moreCRAFT is a collaboration with the Graduate School of Education and Institute for Human-Centered AI. CRAFT is a collection of co-designed free AI Literacy resources about AI for high school teachers, to help students explore, understand, question, and critique AI. CRAFT intentionally pursues a multidisciplinary approach so educators with a variety of discipline backgrounds can teach about AI. ...less
Posted on: December 26, 2023
What was jokingly called impossible just a few years ago, is now completely possible and available at the tips of our fingers now, thanks to generative AI including large language models (LLMs) ...moreWhat was jokingly called impossible just a few years ago, is now completely possible and available at the tips of our fingers now, thanks to generative AI including large language models (LLMs) ...less
Posted on: December 23, 2023
Open source AI foundation models will wipe out closed and proprietary AI models for the same reason Wikipedia wiped out generalist commercial encyclopedia: crowd-sourced human contributions to open platforms can cater to a high diversity of interests, cultures, and languages.... ...moreOpen source AI foundation models will wipe out closed and proprietary AI models for the same reason Wikipedia wiped out generalist commercial encyclopedia: crowd-sourced human contributions to open platforms can cater to a high diversity of interests, cultures, and languages.
Do you agree with Yann LeCun? ...less
Posted on: December 22, 2023
Posted by Jeff Dean, Chief Scientist, Google DeepMind & Google Research, Demis Hassabis, CEO, Google DeepMind, and James Manyika, SVP, Google Research, Technology & Society This was the year generative AI captured the world’s attention, creating imagery, music, stories, and... ...morePosted by Jeff Dean, Chief Scientist, Google DeepMind & Google Research, Demis Hassabis, CEO, Google DeepMind, and James Manyika, SVP, Google Research, Technology & Society
This was the year generative AI captured the world’s attention, creating imagery, music, stories, and engaging conversation about everything imaginable, at a level of creativity and a speed almost implausible a few years ago. The following are some highlights of releases this year:
- https://bard.google.com launched
- Search Generative Experience (SGE) - https://blog.google/products/search/generative-ai-search/
- MusicLM - https://google-research.github.io/seanet/musiclm/examples/
- Duet AI - https://cloud.google.com/blog/products/application-modernization/introducing-duet-ai-for-google-cloud
- And, many other developments - https://blog.google/technology/developers/google-io-2023-100-announcements/ ...less
Posted on: December 21, 2023
Seamlessly integrate powerful language models like ChatGPT into scikit-learn for enhanced text analysis tasks. Supports following: - Zero-Shot Text Classification - Multi-Label Zero-Shot Text Classification - Few-Shot Text Classification - Multi-Label Few-Shot Text Classification - Dynamic Few-Shot Text Classification -... ...moreSeamlessly integrate powerful language models like ChatGPT into scikit-learn for enhanced text analysis tasks. Supports following:
- Zero-Shot Text Classification
- Multi-Label Zero-Shot Text Classification
- Few-Shot Text Classification
- Multi-Label Few-Shot Text Classification
- Dynamic Few-Shot Text Classification
- Text Classification with Google PaLM 2
- LLM Fine-Tuning
- Text Summarization
- Text Translation ...less
Posted on: December 21, 2023
A novel approach that enables the deep learning-guided discovery of structural classes of antibiotics and demonstrates that machine learning models in drug discovery can be explainable, providing insights into the chemical substructures that underlie selective antibiotic activity. A deep learning... ...moreA novel approach that enables the deep learning-guided discovery of structural classes of antibiotics and demonstrates that machine learning models in drug discovery can be explainable, providing insights into the chemical substructures that underlie selective antibiotic activity.
A deep learning approach has been adopted for antibiotic discovery. The approach showed that it identifies potential antibiotics from large chemical libraries, resulting in the discovery of halicin and abaucin from the Drug Repurposing Hub (comprising around 6,000 molecules) and other antibacterial compounds from approximately 107 million molecules in the ZINC15 library. This approach relies on Chemprop, a platform for graph neural networks, which are typically black box models, or models that are not readily interpreted or explained. ...less
Posted on: December 21, 2023
You can make great music, whether you\'re a shower singer or a charting artist. No instrument needed, just imagination. ...moreYou can make great music, whether you\'re a shower singer or a charting artist. No instrument needed, just imagination. ...less
Posted on: December 21, 2023
Whether you’re a pro or a newbie, the cloud--based Anaconda Assistant can help bring your data life & insights to the world. Try it for free at https://nb.anaconda.cloud ...moreWhether you’re a pro or a newbie, the cloud--based Anaconda Assistant can help bring your data life & insights to the world.
Try it for free at https://nb.anaconda.cloud ...less
Posted on: December 20, 2023
To explore the application of language models in video generation, Google introduces VideoPoet, a large language model (LLM) that is capable of a wide variety of video generation tasks, including text-to-video, image-to-video, video stylization, video inpainting and outpainting, and video-to-audio.... ...moreTo explore the application of language models in video generation, Google introduces VideoPoet, a large language model (LLM) that is capable of a wide variety of video generation tasks, including text-to-video, image-to-video, video stylization, video inpainting and outpainting, and video-to-audio. One notable observation is that the leading video generation models are almost exclusively diffusion-based (for one example, see Imagen Video). On the other hand, LLMs are widely recognized as the de facto standard due to their exceptional learning capabilities across various modalities, including language, code, and audio (e.g., AudioPaLM). In contrast to alternative models in this space, our approach seamlessly integrates many video generation capabilities within a single LLM, rather than relying on separately trained components that specialize on each task. ...less
Posted on: December 20, 2023
Have we reached peak AI? No, say several Stanford scholars. Expect bigger and multimodal models, exciting new capabilities, and more conversations around how we want to use and regulate this technology. Here are seven predictions from faculty and senior fellows... ...moreHave we reached peak AI? No, say several Stanford scholars. Expect bigger and multimodal models, exciting new capabilities, and more conversations around how we want to use and regulate this technology. Here are seven predictions from faculty and senior fellows at Stanford HAI.
1. White Collar Work Shifts
2. Deepfake Proliferation
3. GPUs Shortage
4. More Helpful Agents
5. Hopes for U.S. Regulation
6. Asking Big Questions, Applying New Policies
7. Companies Will Navigate Complicated Regulations ...less
Posted on: December 20, 2023
Audiobox, the successor to Voicebox, is advancing generative AI for audio even further by unifying generation and editing capabilities for speech, sound effects (short, discrete sounds like a dog bark, car horn, a crack of thunder, etc.), and soundscapes, with... ...moreAudiobox, the successor to Voicebox, is advancing generative AI for audio even further by unifying generation and editing capabilities for speech, sound effects (short, discrete sounds like a dog bark, car horn, a crack of thunder, etc.), and soundscapes, with a variety of input mechanisms to maximize controllability for each use case.
Most notably, Audiobox lets people use natural language prompts to describe a sound or type of speech they want to generate. If someone wants to generate a soundscape, for example, they can give the model a text prompt like, “A running river and birds chirping.”
Audiobox\\\'s interactive demo (https://audiobox.metademolab.com/) and research paper (https://ai.meta.com/research/publications/audiobox-unified-audio-generation-with-natural-language-prompts) are now available ...less
Posted on: December 20, 2023
Amidst the buzz surrounding the promising capabilities of large language models in business, it\'s crucial not to overlook a practical concern: cost. In this video, Jessica Ridella, IBM’s Global Sales Leader for the watsonx.ai generative AI platform, delves into seven... ...moreAmidst the buzz surrounding the promising capabilities of large language models in business, it\'s crucial not to overlook a practical concern: cost. In this video, Jessica Ridella, IBM’s Global Sales Leader for the watsonx.ai generative AI platform, delves into seven pivotal factors crucial for understanding generative AI in the enterprise. She explores elements influencing cost, such as model size and deployment options, while also shedding light on potential cost-saving strategies like harnessing pre-trained models. ...less
Posted on: December 19, 2023
Gemini AI is Google’s latest and most powerful AI model to date, offering a wide range of capabilities across various domains. This versatile tool comes in three sizes: Ultra, Pro, and Nano, each designed to cater to specific needs and... ...moreGemini AI is Google’s latest and most powerful AI model to date, offering a wide range of capabilities across various domains. This versatile tool comes in three sizes: Ultra, Pro, and Nano, each designed to cater to specific needs and tasks. ...less
Posted on: December 19, 2023
The AI Alliance’s 57 founding members include established companies like AMD, Intel, Oracle, and Sony; startups like Cerebras and Stability AI; nonprofits such as HuggingFace and the Linux Foundation, public institutes like the European Council for Nuclear Research (CERN) and... ...moreThe AI Alliance’s 57 founding members include established companies like AMD, Intel, Oracle, and Sony; startups like Cerebras and Stability AI; nonprofits such as HuggingFace and the Linux Foundation, public institutes like the European Council for Nuclear Research (CERN) and U.S. National Aeronautics and Space Administration (NASA); and universities in Asia, Europe, and North America. The group stated its intention to pursue a variety of projects:
Develop open foundation models, especially multilingual and multimodal models
Provide free benchmarks, standards, and safety and security tools to aid responsible development of AI systems
Encourage development of hardware that benefits open AI
Educate and lobby policymakers to encourage open development ...less