Algorithms – Page 15 – AI.RadicalShift

newsFacebook AI and Carnegie Mellon Join Forces to Revolutionize Renewable Energy Storage with AI-Powered Catalyst Research

AI assistants, Algorithms, Americas, Analytics, Artificial Intelligence, Energy, Gas & Oil, Internet & Online, Quantum Computing

October 14, 2020

Oleg Lazarov

AI, AI Models, Carnegie Mellon University, catalysis, chemical engineering, CMU, collaboration, electrocatalysts, energy grid, energy storage, ethanol, Facebook, Facebook AI, hydrogen, low-cost energy solutions, OC20 data set, Open Catalyst Project, quantum mechanical simulations, quantum simulations, Renewable energy, renewable energy storage, scalable energy solutions, scientific research, solar energy, wind energy

MENLO PARK — Facebook AI and Carnegie Mellon University’s (CMU) Department of Chemical Engineering have teamed up to launch the Open Catalyst Project, an initiative aimed at accelerating quantum mechanical simulations with AI to discover new electrocatalysts for more efficient renewable energy storage. By utilizing AI, the project seeks to speed up these simulations by…
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newsOpenAI and Microsoft Forge Partnership to Extend GPT-3 Capabilities

Algorithms, Americas, Analytics, Artificial Intelligence, Generative AI, Generative pre-trained transformers (GPT), Industrial, Internet & Online, Language model training

September 23, 2020

Sheryl Rivera

API, applications, artificial intelligence, developers, GPT-3, language model, Microsoft, OpenAI

SAN FRANCISCO — In a recent development, OpenAI has announced a licensing agreement with Microsoft, allowing the tech giant to integrate OpenAI’s cutting-edge GPT-3 technology into its suite of products and services. This agreement follows OpenAI’s launch of its first commercial product earlier this year, an API designed to empower developers with advanced capabilities for…
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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…
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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.…
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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.…
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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…
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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…
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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…
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newsRoche Introduces Breakthrough Automated Digital Pathology Algorithm for Non-Small Cell Lung Cancer Diagnosis

Algorithms, Analytics, Artificial Intelligence, Europe, Pharma & Biotech

June 26, 2020

Sheryl Rivera

artificial intelligence, automated digital pathology algorithm, cancer diagnostics, CE-IVD launch, clinical image analysis, diagnostic consistency, digital pathology solution, Healthcare, hematoxylin and eosin-stained slides, image analysis, immunohistochemistry, in situ hybridization, lung cancer, non-small cell lung cancer diagnosis, NSCLC, objective, pathology decision support, personalized healthcare, personalized medicine, Pharma & Biotech, reproducible, Roche, Switzerland, targeted treatment options, technology, Thomas Schinecke, tissue staining, tumour cell staining positivity, uPath enterprise software, uPath PD-L1 (SP263), VENTANA PD-L1, whole-slide automated analysis

BASEL – Roche, a global leader in pharmaceuticals and diagnostics, has unveiled a groundbreaking automated digital pathology algorithm designed to revolutionize the diagnosis of non-small cell lung cancer (NSCLC). Developed to assist pathologists in the identification and measurement of tumor cell staining positivity, the uPath PD-L1 (SP263) image analysis promises faster and more accurate diagnoses,…
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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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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…
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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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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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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: Algorithms

newsFacebook AI and Carnegie Mellon Join Forces to Revolutionize Renewable Energy Storage with AI-Powered Catalyst Research

newsOpenAI and Microsoft Forge Partnership to Extend GPT-3 Capabilities

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

newsRoche Introduces Breakthrough Automated Digital Pathology Algorithm for Non-Small Cell Lung Cancer Diagnosis

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

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

What is RadicalShift AI?

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