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newsFacebook AI and OpenMined Launch Privacy-Focused PyTorch Learning Series for Developers
AI assistants, Algorithms, Americas, Analytics, Artificial Intelligence, Internet & Online, Machine learning, Open Source LLMsSheryl Rivera
Android, artificial intelligence, cross-enterprise statistics, cryptographic signatures, developers, differential privacy, educational courses, Facebook AI, federated learning, federated statistics, homomorphic encryption, iOS, machine learning, mobile development, on-device database, OpenMined, PET, privacy, privacy-enhancing technology, privacy-preserving machine learning, Private AI Series, public key technology, PySyft, PyTorch, React.js, secure ML models, web developmentMENLO PARK — In a new initiative to enhance privacy in artificial intelligence and machine learning (ML), Facebook AI has joined forces with OpenMined, an open-source community that specializes in privacy-focused AI development. Together, they are launching an educational series titled The Private AI Series, designed to teach developers about privacy-preserving machine learning (PPML) techniques…
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newsFacebook AI Partners with Universities to Boost Diversity in AI Education
AI assistants, Algorithms, Americas, Analytics, Artificial Intelligence, Deep learning, Education, Industrial, Internet & Online, Machine learning, Neural networksSheryl Rivera
African Institute for Mathematical Sciences, AI co-teaching program, AI education, AI Habitat, AI inclusion, AI mentorship, AI partnerships, AI research, Align Master’s in Computer Science, artificial intelligence, Black in AI, Charles Isbell, computer vision, deep learning courses, diversity in AI, diversity in tech, Facebook AI, Facebook engineers, fastMRI, Georgia Tech, graduate-level AI education, Jess Erickson, language understanding, LatinX in AI, machine learning, neural networks, PyTorch, underrepresented groups in tech, Women in ML, Zsolt KiraMENLO PARK — Artificial Intelligence (AI) is revolutionizing many aspects of life, from healthcare to transportation, but to ensure its continued growth and inclusivity, it is essential that the field be taught and developed by individuals from diverse backgrounds. Facebook AI recognizes this need and is taking action by expanding educational pathways into AI for…
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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 learningOleg 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 technologyMENLO 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…
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newsUnlocking Strategic Insights: Syniti’s CEO TO CEO Podcast Harnesses AI for C-suite Decision-Making in M&A
Sheryl Rivera
acquisitions, analytics, artificial intelligence, CEO TO CEO Podcast, Chris Knerr, data expertise, data management, data strategy, divestitures, enterprise data management, interviews, Joe Tucci, Josh Moffitt, Kevin Campbell, MA&D, machine learning, mergers, Paula Tolliver, podcast series, Rex Ahlstrom, SynitiBOSTON – Syniti, a leading enterprise data management company, has announced the global launch of its weekly podcast series, the “CEO TO CEO Podcast.” This series aims to provide exclusive insights into complex C-suite challenges, particularly mergers, acquisitions, and divestitures (MA&D), featuring interviews with top CEOs and thought leaders who have led significant transactions. Scheduled…
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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 networksSheryl 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 & BiasesMENLO 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 learningSheryl 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 TendulkarMENLO 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 learningSheryl 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, XAIMENLO 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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newsUK Defence Science and Technology Laboratory Unveils Quantum Technology Research Paper
Sheryl Rivera
AI, AI software, annealers, artificial intelligence, data processing, decision-making, Defence, Defence Science and Technology Laboratory, Gary Aitkenhead, Government, machine learning, military commanders, Ministry of Defence, MOD, national security, neural nets, news, QIP, Quantum Information Processing, quantum technologies, research paper, Science, Security & Safety, technology, United KingdomLONDON – The UK’s Defence Science and Technology Laboratory (Dstl) has released a significant research paper titled “Quantum Information Processing Landscape 2020: Prospects for UK Defence and Security” in collaboration with the Ministry of Defence (MOD) and UK Strategic Command. This paper emphasizes the potential of embracing quantum technology to revolutionize military decision-making, enhance Artificial…
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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 AIOleg Lazarov
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, TelecomSheryl Rivera
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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newsMinsait and Bankia Partner to Bolster Financial Security and Customer Experience with AI Tools
Algorithms, Artificial Intelligence, Banks, Cybersecurity, Europe, Financial, Machine learning, Security & SafetySheryl 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, technologyALCOBENDAS – 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 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 learningSheryl 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, TorchServeMENLO 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, RoboticsSheryl 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 smartphoneMENLO 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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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 networksSheryl 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-16MENLO 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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newsAI Breakthrough: Facebook Researchers Develop Tool to Generate Recipes from Food Photos
AI assistants, Algorithms, Americas, Analytics, Artificial Intelligence, Food & Beverage, Internet & Online, Machine learningSheryl 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 datasetMENLO 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 & BiotechSheryl 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 LuiMENLO 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 AIOleg 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 manipulationMENLO 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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newsMicrosoft Azure and NVIDIA Collaborate to Democratize Supercomputing Power
Americas, Artificial Intelligence, Cloud, Deep learning, Industrial, Machine learning, SupercomputerSheryl Rivera
AI, Azure Marketplace, BERT model, cloud computing, complex AI, CPU-based computing, CUDA X™ library, deep learning frameworks, Girish Bablani, GPU-accelerated supercomputer, high-performance computing, HPC applications, Ian Buck, Kubernetes clusters, machine learning, Mellanox InfiniBand, Microsoft Azure, NCCL, NDv2 instance, NVIDIA, NVIDIA NGC container registry, NVIDIA V100 Tensor Core GPUs, on-premises supercomputers, SC19 Conference, supercomputing powerSANTA CLARA — NVIDIA, in collaboration with Microsoft Azure, has unveiled a groundbreaking development in cloud computing, introducing a new GPU-accelerated supercomputer in the Microsoft Azure cloud. This innovation marks a significant step towards democratizing access to supercomputing power, previously accessible only to large enterprises and organizations. The new offering, named the Microsoft Azure NDv2…
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newsAI-Powered Revolution: Munich Re’s Digital Solutions Reshape Insurance Landscape
Sheryl Rivera
AI, artificial intelligence, Big Data, Claims estimates, data analytics, Digital Solutions, Doris Höpke, External sources, Insurance Industry, Loss Prevention, machine learning, Munich Re, Portfolio data, Predictive capabilities, Primary insurers, Risk Assessment, TechTrend Radar, Water-mains damageMUNICH – Munich Re, a global leader in reinsurance, is at the forefront of innovation once again, unveiling a suite of digital solutions poised to transform the insurance landscape. Leveraging the power of data analytics and artificial intelligence (AI), Munich Re aims to expedite claims estimates, enhance risk assessment accuracy, and fortify loss prevention strategies.…
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newsFacebook Fellowship Summit 2019 Showcases Emerging Talent in AI and Technology
AI assistants, Algorithms, Americas, Analytics, Artificial Intelligence, Internet & Online, Machine learningOleg Lazarov
AI, artificial intelligence, Chao-Yuan Wu, Claudia Flores-Saviaga, computer vision, crowdsourcing, diversity, Facebook Fellowship Summit 2019, HCI, Healthcare, human-computer interaction, machine learning, medical diagnosis, mentorship, Mikel Artetxe, natural language processing, NLP, research, Sharon Ayalde, Vanessa Oguamanam, video understanding, Yaecob Girmay GezahegnMENLO PARK — Facebook recently hosted the 2019 Fellowship Summit at its Menlo Park headquarters, bringing together a diverse group of talented researchers from around the world. This annual event, part of Facebook’s commitment to fostering innovation, allowed Fellows to share their groundbreaking work in fields such as artificial intelligence (AI), natural language processing (NLP),…
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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.
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