Machine learning – Page 10

newsFacebook AI Introduces First Ever Translation Model That Bypasses English for 100 Language Pairs

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

October 19, 2020

Oleg Lazarov

100 languages, artificial intelligence, autonomous translation, Back-Translation, BLEU metric, ccAligned, ccMatrix, data mining, deep learning, Facebook AI, Facebook News Feed, Fairscale, global translation, Language Models, LASER 2.0, M2M-100, machine learning, multilingual embedding, multilingual machine translation, neural interfaces, neural networks, neural translation, no English reliance, open-source, PyTorch, scalability, Translation Accuracy, translation technology

MENLO PARK — Facebook AI has announced the launch of M2M-100, the first multilingual machine translation (MMT) model capable of translating between any pair of 100 languages without using English as a bridge language. This groundbreaking development represents a major step forward in machine translation technology and is now available as open-source for the research…
Continue Reading
newsFacebook AI Unveils Groundbreaking Model for Direct Translation Across 100 Languages

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

October 19, 2020

Oleg Lazarov

100 languages, AI-driven translation, Angela Fan, BLEU metric, data mining, direct translation, English-centric models, Facebook AI, global communication, language barriers, language pairs, language translation, M2M-100, machine translation, multilingual machine translation, multilingual models, open-sourced, scripts, training dataset, translation quality, universal translation model

MENLO PARK — Facebook AI has announced a significant advancement in multilingual machine translation with the introduction of M2M-100, the first model capable of translating between 100 different languages without relying on English as a bridge. This innovative model marks a milestone in AI-driven language translation, allowing direct translation between any pair of languages among…
Continue Reading
newsFacebook AI Enhances Accessibility with Automated Live Video Captions

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

September 15, 2020

Sheryl Rivera

Accessibility, ASR, automated speech recognition, automatic closed captions, convolutional encoders, COVID-19, deaf and hard of hearing, Facebook AI, Facebook Live, global audience, inclusivity, language support, live broadcasts, live video, public health information, real-time captions, RNN Transducer models, Workplace Live

MENLO PARK — In response to the surge in demand for live video content during the COVID-19 pandemic, Facebook AI has introduced a new feature that enhances accessibility: automatic closed captions for live videos on Facebook Live and Workplace Live. This development is particularly beneficial for the 466 million people worldwide who are deaf or…
Continue Reading
newsAI Revolutionizes MRI Scans with Speed and Precision

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

August 19, 2020

Sheryl Rivera

accelerated MRI, AI in healthcare, artificial intelligence, clinical study, diagnostic imaging, Facebook AI, fastMRI, healthcare innovation, knee MRIs, medical imaging, Michael P. Recht, MRI scans, neural networks, NYU Langone Health, open-source data, patient care, radiology

MENLO PARK — Facebook AI, in collaboration with medical experts at NYU Langone Health, has developed a groundbreaking method to accelerate MRI scans using artificial intelligence. This innovative approach, known as fastMRI, significantly reduces the time patients spend in the MRI machine while producing images that are just as accurate and reliable as traditional scans.…
Continue Reading
newsFacebook AI and NYU Langone Health’s AI-Accelerated MRI Technology Matches Traditional Scans, Offering Faster, High-Quality Results

Algorithms, Americas, Analytics, Artificial Intelligence, Automation, Healthcare, Internet & Online, Machine learning, Pharma & Biotech

August 18, 2020

Sheryl Rivera

AI-accelerated MRI, AI-driven medical imaging, artificial intelligence, clinical study, collaboration, CT scans, data reduction, diagnostic imaging, Facebook AI, fastMRI, Healthcare, healthcare innovation, high-quality images, medical imaging, MRI scans, NYU Langone Health, open-source technology, patient experience, PyTorch, Radiologists, scan times, sustainable technology, traditional MRI, X-rays

MENLO PARK — FastMRI, a collaborative initiative between Facebook AI and NYU Langone Health, has achieved a major milestone by demonstrating that AI-accelerated MRI scans can produce images that are diagnostically equivalent to traditional MRIs. The fastMRI technology uses artificial intelligence to generate high-quality MRI images with just a quarter of the data typically required.…
Continue Reading
newsAI-Driven Farming Machines Powered by PyTorch Revolutionize Weed Control for Sustainable

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

August 6, 2020

Sheryl Rivera

agricultural technology, agriculture, agronomists, AI, AI-powered, Blue River Technology, chemical reduction, Chris Padwick, computer vision, cost savings, crops, Data Science, farming, field machines, herbicide, high-resolution camera, iterative development, John Deere, machine learning, ML models, neural network, precision farming, production workflows, PyTorch, real-time analysis, resource efficiency, See & Spray, sustainability, sustainable agriculture, weed scientists, weeds, Weights & Biases

MENLO PARK — AI is revolutionizing farming, and PyTorch is at the forefront, enabling the development of advanced AI-powered farming machinery. California-based Blue River Technology, a subsidiary of John Deere, has integrated machine learning (ML) and computer vision into its See & Spray farming machine to help farmers combat weeds more efficiently. Weeds are a…
Continue Reading
newsFacebook AI Develops Innovative System to Inspire Dance Choreography

AI assistants, Algorithms, Americas, Analytics, Generative AI, Generative pre-trained transformers (GPT), Internet & Online, Machine learning

August 5, 2020

Sheryl Rivera

artistic AI, automated dance generation, choreography inspiration, creative AI, creative technology, dance choreography, dance routines, Devi Parikh, Facebook AI, Georgia Tech, human-AI collaboration, innovative AI systems, machine learning, music synchronization, original dance moves, Purva Tendulkar

MENLO PARK — Facebook AI researchers have created a groundbreaking system that can generate unique dance routines for any piece of music. Unlike previous systems that merely mimic human movements, this AI generates entirely original and creative dance sequences, offering a fresh source of inspiration for dancers and choreographers. Developed by a team led by…
Continue Reading
newsAdvancing Explainable AI: Captum Joins Forces with Fiddler Labs for Greater Transparency in Machine Learning

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

July 13, 2020

Sheryl Rivera

AI adoption, AI explainability, AI research, AI systems, AI transparency, bias, Captum, data drift, decision-making, Explainable AI, Facebook, fairness, Fiddler Labs, finance, Healthcare, hiring, interpretability algorithms, live traffic monitoring, machine learning, mispredictions, ML, model behavior, outliers, Partnership, PyTorch, transparency, XAI

MENLO PARK — Facebook announced a collaboration between Captum and Fiddler Labs, aimed at advancing the field of Explainable AI (XAI). With AI models being increasingly applied in critical areas such as healthcare, hiring, and finance, understanding the reasoning behind their decisions has become essential. The partnership between Captum, part of the PyTorch ecosystem, and…
Continue Reading
newsNeurIPS 2020 Competitions to Leverage Procgen Benchmark and MineRL Announced

Americas, Artificial Intelligence, Entertainment, Generative AI, Generative pre-trained transformers (GPT), Machine learning, Reinforcement learning

June 21, 2020

Sheryl Rivera

AIcrowd, AlphaGo, AlphaStar, Carnegie Mellon University, DeepMind, Minecraft, MineRL, MineRL Competition, MineRL-v0 dataset, NeurIPS 2020, OpenAI, OpenAI Five, Procgen Benchmark, Procgen Competition, reinforcement learning

SAN FRANCISCO — In an exciting collaboration, OpenAI, AIcrowd, Carnegie Mellon University, and DeepMind are set to co-organize two prestigious competitions at NeurIPS 2020. These competitions, utilizing the Procgen Benchmark and MineRL, aim to drive advancements in reinforcement learning. Procgen Competition The Procgen Competition, a cornerstone of the event, challenges participants to enhance sample efficiency…
Continue Reading
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.…
Continue Reading
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…
Continue Reading
newsMinsait and Bankia Partner to Bolster Financial Security and Customer Experience with AI Tools

Algorithms, Artificial Intelligence, Banks, Cybersecurity, Europe, Financial, Machine learning, Security & Safety

May 20, 2020

Sheryl Rivera

AI, AI-based tools, Algorithms, artificial intelligence, Bankia, Banks, Big Data, collaboration, Cost reduction, customer experience, Cybercrimes, cybersecurity, digital transformation, Financial, financial institutions, Fraud detection, fraud prevention, Indra, Internet & Online, machine learning, Minsait, neural networks, news, Partnership, Responsible digitalization, security, SI, Spain, technology

ALCOBENDAS – In a bid to fortify cybersecurity measures and enhance customer experience, Minsait, an Indra company, and Bankia have forged a strategic alliance to develop cutting-edge AI-based tools. These tools are geared towards thwarting fraudulent activities and detecting cybersecurity anomalies across financial institutions and businesses in various sectors, according to a press release published…
Continue Reading
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…
Continue Reading
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…
Continue Reading
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…
Continue Reading
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…
Continue Reading
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…
Continue Reading
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…
Continue Reading
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…
Continue Reading
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…
Continue Reading

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: Machine learning

newsFacebook AI Introduces First Ever Translation Model That Bypasses English for 100 Language Pairs

newsFacebook AI Unveils Groundbreaking Model for Direct Translation Across 100 Languages

newsFacebook AI Enhances Accessibility with Automated Live Video Captions

newsAI Revolutionizes MRI Scans with Speed and Precision

newsFacebook AI and NYU Langone Health’s AI-Accelerated MRI Technology Matches Traditional Scans, Offering Faster, High-Quality Results

newsAI-Driven Farming Machines Powered by PyTorch Revolutionize Weed Control for Sustainable

newsFacebook AI Develops Innovative System to Inspire Dance Choreography

newsAdvancing Explainable AI: Captum Joins Forces with Fiddler Labs for Greater Transparency in Machine Learning

newsNeurIPS 2020 Competitions to Leverage Procgen Benchmark and MineRL Announced

newsOpenAI Introduces Groundbreaking API for Accessing Advanced AI Models

newsMinsait and Bankia Partner to Bolster Financial Security and Customer Experience with AI Tools

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

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

What is RadicalShift AI?

Latest Entries

🏭 INDUSTRIES / MARKETS:

🏷️ TAGS

📂 ARCHIVE