Analytics – Page 18 – AI.RadicalShift

newsFacebook Engages with EU to Shape the Future of AI Governance and Innovation

Algorithms, Americas, Analytics, Artificial Intelligence, Augmented reality, Automation, Europe, Government, Internet & Online, Responsible AI

June 15, 2020

Oleg Lazarov

accountability, AI for Good, AI governance, AI principles, artificial intelligence, data portability, democracy, economic recovery, ecosystem of excellence, election integrity, EU, Facebook, Facebook AI Research, fairness, GDPR, General Data Protection Regulation, harmful content, high-risk AI, human rights, Institute for Ethics in AI, Mark Zuckerberg, OECD, online conference, privacy, regulatory balance, rule of law, self-assessment, Technical University of Munich, transparency, United Nations Sustainable Development Goals, White Paper

MENLO PARK — The conversation surrounding the governance of AI took a significant step forward, with Facebook sharing its views on shaping the future of artificial intelligence both within the European Union and globally. As we become more attuned to the vast opportunities and inherent risks of an interconnected, fast-paced digital world, Facebook has advocated…
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newsOpenAI Introduces Groundbreaking API for Accessing Advanced AI Models

Algorithms, Americas, Analytics, Artificial Intelligence, Generative AI, Generative pre-trained transformers (GPT), Industrial, Internet & Online, LLMs (Large Language Models), Machine learning, Responsible AI

June 12, 2020

Oleg Lazarov

AI applications, AI Models, AI research, AI safety, API, bias mitigation, data privacy, ethical AI, GPT-3, machine learning, natural language processing, OpenAI, responsible AI deployment

SAN FRANCISCO — OpenAI has launched a significant advancement in AI technology with the release of its new API, providing developers unprecedented access to state-of-the-art AI models. Unlike conventional AI systems tailored for specific tasks, OpenAI’s API features a versatile “text in, text out” interface designed to handle a wide array of English language applications.…
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newsTelefónica and Google Cloud Spearhead Spain’s Digital Revolution with AI-Powered Solutions and 5G Innovation

Analytics, Artificial Intelligence, Cloud, Edge computing, Europe, Industrial, Infrastructure & Utilities, Machine learning, Telecom

June 11, 2020

Sheryl Rivera

5G, AI, artificial intelligence, B2B Portfolio, cloud region, cybersecurity, data analytics, digital transformation, Google Cloud, José María Álvarez-Pallete, machine learning, mobile edge computing, pandemic, Spain, Sundar Pichai, Telefónica, Telefónica Tech

MADRID – In a strategic collaboration aimed at accelerating Spain’s digital transformation and pioneering advancements in 5G mobile edge computing, Spanish telecom giant Telefónica partners with Google Cloud. The alliance underscores a shared commitment to bolstering Spain’s economy post-COVID-19 and meeting the evolving technological needs of Spanish businesses. As part of the collaboration, Google Cloud…
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newsFacebook AI Launches Hateful Memes Dataset and Challenge to Combat Harmful Multimodal Content

AI assistants, Algorithms, Americas, Analytics, Artificial Intelligence, Internet & Online, Machine learning, Society

May 12, 2020

Sheryl Rivera

AI research, AI systems, baseline-trained models, competition, content moderation, dataset, Deepfake Detection Challenge, DrivenData, Facebook AI, Getty Images, harmful content, hate speech, Hateful Memes, multimodal classifiers, multimodal content, multimodal machine learning, NeurIPS 2020, Reproducibility Challenge, text and images

MENLO PARK — On May 12, 2020, Facebook AI introduced a new dataset and competition aimed at advancing the detection of multimodal hate speech, which includes both text and images. The Hateful Memes dataset, containing over 10,000 examples, was created to help AI researchers develop systems capable of understanding and identifying harmful content that blends…
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newsFacebook AI Unveils BlenderBot: The Largest Open-Domain Chatbot to Date

AI assistants, Algorithms, Americas, Analytics, Artificial Intelligence, Chatbots, Internet & Online, Machine learning

April 29, 2020

Oleg Lazarov

9.4 billion parameters, AI research community, AI researchers, beam search, BlenderBot, conversational AI, conversational models, conversational skills, decoding techniques, empathy, engagement, Facebook AI, fluency, human-like chatbot, knowledge, large-scale neural network training, natural conversations, neural network, open-domain chatbot, open-source, open-source platforms, personality

MENLO PARK — On April 29, 2020, Facebook AI introduced BlenderBot, the most advanced open-domain chatbot ever created, and open-sourced it to the AI research community. BlenderBot stands out for blending a range of conversational skills such as empathy, knowledge, and personality, making it more engaging and human-like than any other chatbot, according to human…
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newsFacebook AI and AWS Collaborate to Launch New PyTorch Libraries for Scalable AI Model Training and Deployment

AI assistants, Algorithms, Americas, Analytics, Artificial Intelligence, Internet & Online, Machine learning

April 21, 2020

Sheryl Rivera

AI model training, AWS, AWS News blog, cloud-agnostic, distributed model training, elastic training, Facebook, Facebook AI, fault-tolerant training, high-performance inference, Kubernetes, machine learning, model deployment, multi-model serving, open-source, PyTorch, PyTorch 1.5, RESTful endpoints, scalable AI, server failures, TorchElastic, TorchServe

MENLO PARK — On April 21, 2020, Facebook AI and AWS engineers announced their collaboration to develop new libraries aimed at enhancing large-scale, elastic, and fault-tolerant AI model training, as well as high-performance PyTorch model deployment. These libraries are designed to help the AI community efficiently scale the deployment of models and advance cutting-edge research…
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newsFacebook AI Develops Technology to Convert 2D Photos into 3D Using Neural Networks

AI assistants, Americas, Analytics, Artificial Intelligence, Augmented reality, Internet & Online, Neural networks, Robotics

February 28, 2020

Sheryl Rivera

2D to 3D conversion, 3D Photos, 3D structure, AI technology, augmented reality, ChamNet, CNN, content creation, convolutional neural network, depth estimation, depth maps, Facebook, Facebook AI, FBNet, image processing, machine learning, mobile devices, neural networks, real-time applications, robotics, single-lens smartphone

MENLO PARK — In 2018, Facebook launched its immersive 3D Photos feature, which initially relied on dual-lens “portrait mode” capabilities found in high-end smartphones. However, with advancements in machine learning, this feature is now accessible to users with standard 2D photos, whether from a single-lens smartphone or older images uploaded to any device. Using state-of-the-art…
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newsIntroducing PyTorch3D: Facebook AI’s Breakthrough Open-Source Library for 3D Deep Learning

AI assistants, Algorithms, Americas, Analytics, Artificial Intelligence, Deep learning, Internet & Online, Open Source LLMs

February 6, 2020

Oleg Lazarov

2D images, 3D data, 3D deep learning, 3D operators, 3D predictions, 3D reasoning, 3D reconstruction, 3D scene properties, 3D transformations, AI systems, bundle adjustment, chamfer loss, computer vision, CUDA kernels, deep learning pipelines, deep learning research, Detectron2, differentiable mesh renderer, differentiable rendering, Facebook AI, heterogeneous batches, loss functions, Mesh data structure, Mesh R-CNN, modular API, Neural Mesh Renderer, neural networks, open-source library, optimized operators, PyTorch3D, Soft Rasterizer, triangle meshes

MENLO PARK — Facebook AI has introduced PyTorch3D, an open-source library designed to simplify 3D deep learning by providing optimized tools and operators for researchers. PyTorch3D makes it easier to handle 3D data, enabling faster and more flexible research in areas like robotics, virtual reality, and object recognition. The library includes a variety of features…
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newsFacebook AI Introduces ‘Radioactive Data’ to Track Dataset Usage in Machine Learning Models

AI assistants, Algorithms, Americas, Analytics, Artificial Intelligence, Internet & Online, Machine learning, Neural networks

February 5, 2020

Sheryl Rivera

AI Models, AI research, bias detection, classifier alignment, CNN, convolutional neural networks, cosine similarity, data integrity, data misuse, dataset poisoning, dataset tracking, DenseNet-121, downstream models, Facebook AI, feature representation, feature space perturbation, image classification, image marking, ImageNet, machine learning, model training, model verification, neural network performance, neural networks, p-value, radioactive data, ResNet-18, training detection, VGG-16

MENLO PARK — Facebook AI has developed an innovative technique, called “radioactive data,” designed to trace whether a particular dataset has been used to train a machine learning model. This approach embeds subtle, undetectable marks into datasets, offering a reliable way for researchers to identify the presence of these datasets in model training, while ensuring…
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newsOpenAI Adopts PyTorch as Standard Deep Learning Framework

Algorithms, Americas, Analytics, Artificial Intelligence, Deep learning, Generative AI, Generative pre-trained transformers (GPT), Industrial, Internet & Online

January 31, 2020

Oleg Lazarov

artificial intelligence, deep learning framework, deep reinforcement learning, developer community, Facebook, generative modeling, GPUs, Microsoft, OpenAI, PyTorch, research organization, Spinning Up in Deep RL

SAN FRANCISCO — OpenAI, a leading research organization in artificial intelligence, has announced its decision to standardize its deep learning framework on PyTorch. This move marks a significant step in the organization’s efforts to streamline its development processes and foster collaboration within its team. In the past, OpenAI utilized various frameworks for different projects based on…
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newsFacebook AI Enhances AI Habitat with Interactive Objects and Realistic Physics for Smarter Agent Training

AI assistants, Algorithms, Americas, Analytics, Artificial Intelligence, Internet & Online, Machine learning, Open Source LLMs, Robotics

January 21, 2020

Sheryl Rivera

3D virtual environments, ai assistants, AI Habitat, AI research, Bullet physics engine, complex situations, embodied AI, Facebook AI, GPU, Habitat-PyRobot-Bridge, interactive objects, JavaScript API, LoCoBot, Oculus Quest VR, open-source, photorealistic environments, realistic physics, Replica simulations, rigid body physics, robots, simulation platform, TensorBoard support, training agents, virtual worlds, WebGL

MENLO PARK — Facebook AI has launched a significant update to its open-source AI Habitat platform, aimed at enhancing the training of embodied AI agents in realistic 3D virtual environments. This update introduces interactive objects, realistic physics modeling, and more flexible simulation options, enabling researchers to train AI agents to not only navigate but also…
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newsFacebook AI Develops Groundbreaking Neural Network System to Solve Advanced Mathematical Equations

AI assistants, Algorithms, Americas, Analytics, Artificial Intelligence, Deep learning, Internet & Online, Machine learning, Neural networks

January 14, 2020

Oleg Lazarov

advanced mathematics, AI research, AI solutions, AI system, deep learning, deep learning models, differential equations, equation-solving AI, equation-solving software., Facebook AI, integration problems, language-like syntax, machine translation, mathematical expressions, Neural Machine Translation, neural networks, NLP, NMT, pattern recognition, seq2seq models, sequence-to-sequence neural networks, symbolic data, symbolic equations, symbolic reasoning, transformers

MENLO PARK — Facebook AI has developed an innovative AI system capable of solving complex mathematics equations, specifically focusing on symbolic reasoning for advanced problems like integrations and differential equations. This groundbreaking approach leverages neural networks and Natural Machine Translation (NMT) techniques, transforming mathematical expressions into a language-like syntax that allows AI to solve these…
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newsAI Breakthrough: Facebook Researchers Develop Tool to Generate Recipes from Food Photos

AI assistants, Algorithms, Americas, Analytics, Artificial Intelligence, Food & Beverage, Internet & Online, Machine learning

December 16, 2019

Sheryl Rivera

Adriana Romero, advanced AI, AI research, AI-generated recipes, computer vision, cooking technology, culinary innovation, Facebook AI, Facebook researchers, food photos, food recognition, food technology, image analysis, ingredient prediction, inverse cooking, machine learning, Michal Drozdzal, neural networks, recipe creation, recipe generation, Recipe1M dataset

MENLO PARK — Imagine snapping a picture of a mouthwatering dish and instantly receiving a recipe to recreate it at home. This futuristic concept is now a reality, thanks to an innovative project by Facebook AI researchers. The project, called “inverse cooking,” is designed to analyze photos of food and generate recipes, complete with a…
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newsFastMRI Initiative Unveils Largest Neuroimaging Dataset to Accelerate AI-Powered MRI Scans

AI assistants, Algorithms, Americas, Analytics, Artificial Intelligence, Healthcare, Machine learning, Pharma & Biotech

December 12, 2019

Sheryl Rivera

accelerated MRI scans, AI, AI Models, AI research, AI-powered MRI, artificial intelligence, axial T1, brain imaging, brain MRI, de-identified data, DICOM format, fastMRI, fastMRI project, FLAIR, image reconstruction, Institutional Review Board, k-space data, k-space format, machine learning, medical data, medical imaging, MRI scans, neural network, neural tissue, neuroimaging dataset, NYU, NYU Langone Health, open source dataset, patient experience, radiology, research collaboration, T1 post-contrast, T2, Yvonne Lui

MENLO PARK — The fastMRI project, a collaborative research effort between Facebook AI and NYU Langone Health, has taken a significant step forward with the release of a new open-source neuroimaging dataset. This latest dataset, contributed by NYU Langone Health, is aimed at advancing the use of artificial intelligence (AI) to accelerate magnetic resonance imaging…
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newsFacebook AI Launches Deepfake Detection Challenge to Combat Manipulated Media

AI assistants, Algorithms, Americas, Analytics, Artificial Intelligence, Internet & Online, Machine learning, Media, Responsible AI

December 11, 2019

Oleg Lazarov

AI, AI Models, AI-driven manipulations, AWS, Cristian Canton Ferrer, Data Science, dataset, deepfake detection, Deepfake Detection Challenge, deepfakes, DFDC, Facebook AI, Kaggle, machine learning, manipulated media, Microsoft, NeurIPS, NeurIPS conference, open-source, prevention of deepfakes, real-world deepfakes, responsible AI, video manipulation

MENLO PARK — Facebook AI, in partnership with leaders from academia and industry, has launched the Deepfake Detection Challenge (DFDC), an open initiative to accelerate the development of technologies aimed at detecting deepfakes and manipulated media. The challenge was introduced at the NeurIPS conference, offering participants access to a new dataset containing over 100,000 videos…
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newsFacebook AI and NYU Langone Health Reveal Results of fastMRI Image Reconstruction Challenge

AI assistants, Algorithms, Americas, Analytics, Artificial Intelligence, Healthcare, Internet & Online, Pharma & Biotech

December 1, 2019

Sheryl Rivera

AI, AI Models, challenge, clinical studies, Facebook AI, fastMRI, fastMRI knee dataset, image reconstruction, Johns Hopkins University, knee MRIs, medical imaging, MRI scans, multi-coil, neural networks, NeurIPS conference, Nicola Pezzotti, NYU Langone Health, open-source, Patrick Putzky, Philips, Puyang Wang, Radiologists, recurrent neural networks, single-coil, SSIM, Structural Similarity measure, U-nets, United Imaging Intelligence, University of Amsterdam, Vancouver

MENLO PARK — Facebook AI and NYU Langone Health have announced the results of the first fastMRI image reconstruction challenge, part of their initiative to accelerate MRI scans using AI technology. This effort aims to make MRI scans up to ten times faster, enhancing patient experience and making the technology more accessible and cost-effective. The…
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newsEmpowering Diversity: Highlights from Facebook’s Women in AI Summit

AI assistants, Algorithms, Americas, Analytics, Artificial Intelligence, Internet & Online, Machine learning, Society

November 18, 2019

Sheryl Rivera

2019 Diversity Report, AI, AI engineers, community building, CVPR, Danielle Rothermel, Dawn Song, diversity, Emily Dinan, EMNLP, Facebook, Facebook Diversity, ICCV, ICML, inclusion, Jérôme Pesenti, Jess Erickson, Joelle Pineau, Michelle Cheung, NeurIPS, Nikhila Ravi, research scientists, Women in AI Summit, Women in CV, Women in ML (WiML), Women in tech

MENLO PARK — In a remarkable display of commitment to diversity and inclusion, Facebook recently hosted its Women in AI Summit, highlighting the vital role of diverse perspectives in advancing artificial intelligence (AI). The summit, which took place in November, was a pivotal event aimed at enhancing internal community cohesion and fostering inclusivity within the…
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newsRevolutionizing Online Safety: Facebook’s Latest AI Techniques in Content Moderation

AI assistants, Algorithms, Americas, Analytics, Artificial Intelligence, Internet & Online, Machine learning, Society

November 13, 2019

Oleg Lazarov

AI, artificial intelligence, Community Standards Enforcement Report, content moderation, drug sale content, Facebook, focal loss, gradient blending, harmful content, hate speech detection, multilingual data, online safety, proactive detection, self-supervised language models, self-supervised learning, technology advancements, Whole Post Integrity Embeddings, WPIE, XLM method

MENLO PARK — In an era where online safety is paramount, Facebook’s latest Community Standards Enforcement Report highlights groundbreaking strides made in artificial intelligence (AI) to enhance content moderation across its platforms. This comprehensive update sheds light on the significant progress achieved through advancements in self-supervised learning, a technique that has transcended the limitations of…
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newsFacebook AI Unveils Groundbreaking Techniques for Low-Resource Language Translation

Americas, Analytics, Artificial Intelligence, Automation, Internet & Online, Machine learning

October 16, 2019

Sheryl Rivera

AI Language Research Consortium, AI research, Back-Translation, BLEU Points, Burmese, Computational Efficiency, Data Filtering, English-Burmese Translation, Facebook AI, Fairseq, Haitian, Iterative Refinement, Kazakh, Lao, LASER Toolkit, Low-Resource Languages, machine translation, Monolingual Data, Multi-GPU Training, Nepali, Neural Machine Translation, Noisy Channel Decoding, Oromo, PyTorch, Scalable Training, Self-Training, Sequence-Level Knowledge Distillation, Sinhala, TORCHSCRIPT, Translation Accuracy, Universal Encoder, Wikimatrix

MENLO PARK — Facebook AI is at the forefront of transforming machine translation (MT) for low-resource languages, achieving notable advancements that promise to enhance global communication. Traditionally, high-quality MT systems have depended on extensive parallel datasets, which are scarce for many languages. Facebook AI’s recent innovations address this gap, setting new standards for translation accuracy…
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newsOpenAI Scholars Program Invites Applications for 2020 Cohort

Algorithms, Americas, Analytics, Artificial Intelligence, Deep learning, Education, Generative AI, Generative pre-trained transformers (GPT), Industrial, Internet & Online

October 12, 2019

Oleg Lazarov

AI, Alec Radford, Christine Payne, deep learning, Fatma Tarlaci, Janet Brown, Jerry Tworek, Johannes Otterbach, Jonathan Michaux, Karl Cobbe, Melanie Subbiah, OpenAI, OpenAI Scholars, Python, Sabrina Osmany

SAN FRANCISCO — OpenAI, a leading research organization dedicated to advancing artificial intelligence (AI) in a responsible and inclusive manner, is pleased to announce the opening of applications for its third class of OpenAI Scholars. The OpenAI Scholars Program is a prestigious 4-month full-time initiative designed to support individuals from underrepresented groups in the field…
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What is RadicalShift AI?

RadicalShift.ai represents the paradigm shift the artificial intelligence (AI) brings upon all of us, from the way we live and work to the way we do business. To help cope with these fundamental changes across life, industries and the world in general, we are obsessively observing (30+ markets across multiple continents) and covering the AI industry while building a scalable open platform aimed at people, businesses and industry stakeholders to contribute across (benefit from) the entire spectrum of the AI industry from news, views, insights to knowledge, deployments, entities, people, products, tools, jobs, investors, pitch decks, and beyond, helping build what would potentially be a resourceful, insightful, knowledgeable and analytical source for AI related news, information and resources, ultimately becoming the AI industry graph/repository.

AI.RadicalShift

Category: Analytics

newsOpenAI Introduces Groundbreaking API for Accessing Advanced AI Models

newsFacebook AI Launches Hateful Memes Dataset and Challenge to Combat Harmful Multimodal Content

newsFacebook AI Unveils BlenderBot: The Largest Open-Domain Chatbot to Date

newsFacebook AI Develops Technology to Convert 2D Photos into 3D Using Neural Networks

newsIntroducing PyTorch3D: Facebook AI’s Breakthrough Open-Source Library for 3D Deep Learning

newsFacebook AI Introduces ‘Radioactive Data’ to Track Dataset Usage in Machine Learning Models

newsOpenAI Adopts PyTorch as Standard Deep Learning Framework

newsFacebook AI Enhances AI Habitat with Interactive Objects and Realistic Physics for Smarter Agent Training

newsFacebook AI Develops Groundbreaking Neural Network System to Solve Advanced Mathematical Equations

newsAI Breakthrough: Facebook Researchers Develop Tool to Generate Recipes from Food Photos

newsFastMRI Initiative Unveils Largest Neuroimaging Dataset to Accelerate AI-Powered MRI Scans

newsFacebook AI Launches Deepfake Detection Challenge to Combat Manipulated Media

newsFacebook AI and NYU Langone Health Reveal Results of fastMRI Image Reconstruction Challenge

newsEmpowering Diversity: Highlights from Facebook’s Women in AI Summit

newsRevolutionizing Online Safety: Facebook’s Latest AI Techniques in Content Moderation

newsFacebook AI Unveils Groundbreaking Techniques for Low-Resource Language Translation

newsOpenAI Scholars Program Invites Applications for 2020 Cohort

What is RadicalShift AI?

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