neural networks – AI.RadicalShift

interviewsVery Long Interview with Grok 3 on AI: The Great Handover: How AI is Reshaping Our World

Accelerated computing, Agent AI, AI assistants, AI models, Algorithms, Americas, Artificial Intelligence, Augmented reality, Automotive, Autonomous driving, Aviation & Aerospace, Chemicals, Datasets, Deep learning, Defence, Edge AI, Edge computing, Electronics & Machinery, Energy, Gas & Oil, Entertainment, Environment, Financial, Gaming, Generative AI, Graph neural network (GNN), Graphics Processing Unit (GPU), Healthcare, Internet & Online, LLMs (Large Language Models), Machine learning, Natural language processing (NLP), Neural networks, Pharma & Biotech, Quantum Computing, Science, Security & Safety, Semiconductors

March 14, 2025

Oleg Lazarov

2nm chips, Adobe’s AI, agentic AI, AGI, AI, AIVA’s tracks, Apple M-series, Apple’s Neural Engine, Apple’s Secure Enclave, AR, AutoGPT, automation, AWS SageMaker, biases, Black Box Blues, brain-computer interfaces (BCI), brain-signal-to-text, cancer patients, carbon-neutral cities, Cerebras, chain-of-thought, chain-of-thought reasoning, chiplets, CLIP, convolutional neural networks, creative collaboration, creativity, data synthesis, decision trees, decision-making, deep learning, Drug Discovery, Duolingo, edge AI, Edge chips, Education, energy efficiency, EU AI Act, Explainable AI, FedAvg, federated learning, generative adversarial networks (GANs), Georgia State’s AI system, GitHub, Google, Google’s DeepMind, Google’s VideoLLM, GPT-4, GPUs, Grok, Grok 3, Grok’s Toolkit, H200, hallucinations, Healthcare, high bandwidth memory (HBM3), HIPAA compliance, homomorphic encryption, human oversight, IBM, IBM Watson Health, IBM’s AI Fairness 360, innovation, Jasper, jobocalypse, Khan Academy, linear regression, LLMs, machine learning, March 14 2025, Meta, Meta’s SeamlessM4T, Microsoft’s Copilot, Midjourney, Mixture of Experts, modern AI, MS COCO, multimodal AI, natural language processing (NLP), Nest, neural networks, neuromorphic processors, No Man’s Sky, NVIDIA’s DLSS, NVIDIA’s Jetson, NVLink, OpenAI o1, OpenAI’s GPT-4o, Pepsi, personalized medicine, Pfizer, predictive models, privacy, PyTorch, Qualcomm Snapdragon, quantum computing, Rain Neuromorphics, reasoning algorithms, reasoning models, Reinforcement Learning from Human Feedback, remote work, RL, RLHF, robotics, RunwayML, Sakana AI, scientific discovery, self-driving cars, sepsis onset, SHAP, Siemens’ edge solutions, simulations, Slack, Smell data, softmax weights, support vector machines, sustainability, Sycamore, synthetic data, Tempus, TensorFlow, Tesla’s Full Self-Driving chips, TinyML, touch data, TPUs, traditional ML, transformers, TSMC, upskilling, ViT, VQA, VR, Wafer-Scale Engine, wearables, XAI

This interview with Grok, conducted between March 14 and 18, 2025, explored the multifaceted radical shifts AI is driving across the globe, reflecting RadicalShift.AI’s mission to obsessively observe these changes. We traversed a vast landscape—starting with AI’s implications for intellectual property, where it blurs ownership and challenges legal norms, to its ethical quandaries in military…
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newsMeta Launches Digital Twin Catalog: Revolutionizing 3D Object Creation for E-Commerce and Immersive Experiences

AI assistants, Algorithms, Americas, Artificial Intelligence, Augmented reality, Datasets, Digital twins, Industrial, Internet & Online, Machine learning, Open Source LLMs, Virtual reality

September 30, 2024

Sheryl Rivera

3D models, 3D object creation, 3D reconstruction, AI, artificial intelligence, augmented reality, augmented reality storefront, computer vision, Covision Media, deep learning, digital transformation, Digital Twin Catalog, Digital Twins, e-commerce, immersive experiences, machine learning, Meta, neural networks, neural radiance fields, object reconstruction research, photorealism, Project Aria, Reality Labs Research, Shopify, Shopify partnership, sub-millimeter accuracy, virtual shopping

MENLO PARK — Imagine a pottery store owner displaying a newly crafted vase in front of customers with remarkable precision, allowing them to examine it from every angle as if they were holding it. Thanks to Meta’s new technology, this future is closer than ever. The Digital Twin Catalog (DTC) from Reality Labs Research has…
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newsOpenAI’s Cybersecurity Grant Program Drives Innovation in AI-Enhanced Cyber Defense

AI assistants, Algorithms, Americas, Analytics, Artificial Intelligence, Cybersecurity, Generative AI, Generative pre-trained transformers (GPT), Internet & Online, LLMs (Large Language Models), Security & Safety, Semiconductors, Startups

June 21, 2024

Oleg Lazarov

adversarial attacks, AI tools, AI-driven future, AI-enhanced cybersecurity, autonomous cyber defense agents, Boston University, Breuer Lab, ChatGPT Enterprise, ChatGPT Plus, ChatGPT Team, code vulnerabilities, Coguard, Cyber Defense, cybersecurity community, Cybersecurity Grant Program, defensive technologies, foundation models, large language models, LLMs, Mithril Security, neural networks, OpenAI, prompt-injection attacks, RENU, Research and Education Network for Uganda, secure inference infrastructure, software misconfiguration, UC Berkeley, UCSC, Wagner Lab

SAN FRANCISCO — OpenAI’s Cybersecurity Grant Program, launched in 2023, has quickly become a cornerstone for advancing research at the intersection of artificial intelligence and cybersecurity. The initiative, designed to equip cyber defenders with state-of-the-art AI tools, has attracted over 600 applications, highlighting the critical need for collaboration between AI innovators and the cybersecurity community.…
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newsSiemens Unveils Catapult™ AI NN: Revolutionizing Neural Network Synthesis for Custom Silicon Acceleration

Artificial Intelligence, Europe, Industrial, Machine learning, Open Source LLMs

May 22, 2024

Sheryl Rivera

AI, ASICs, C++, Catapult™ AI NN, Fermilab, hardware synthesis, hls4ml, Keras, machine learning, Mo Movahed, neural networks, Panagiotis Spentzouris, PyTorch, Siemens Digital Industries Software, silicon acceleration, SoCs, TensorFlow

MUNICH — Siemens Digital Industries Software has unveiled a groundbreaking advancement in the realm of artificial intelligence (AI) hardware acceleration with the introduction of Catapult™ AI NN software. This innovative solution is set to revolutionize the synthesis of neural network accelerators on Application-Specific Integrated Circuits (ASICs) and System-on-a-chip (SoCs), according to a press release published…
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newsPlanet AI Drives Innovation as Bechtle Expands Rostock Hub for AI Solutions

Artificial Intelligence, Automation, Europe, Industrial, Machine learning, Neural networks

April 30, 2024

Sheryl Rivera

AI applications, AI deep learning, AI development, AI Ecosystem, AI funding, AI innovation, AI marketing, AI partnerships, AI research, AI solutions, AI talent, AI-based solutions, applied research, Bechtle AG, CITlab, digital transformation, digitalization expertise, EU-backed projects, Heilbronn, Innovation Park Artificial Intelligence, Intelligent Document Analysis, Ipai, Jesper Kleinjohann, Jochen Schulte, Mecklenburg-West Pomerania, Michael Guschlbauer, neural networks, Planet AI, process automation, Rostock hub, SME digitalization, University of Rostock

NECKARSULM — Bechtle AG is advancing its vision for AI-driven growth by transforming its Rostock location into a hub for Planet AI’s cutting-edge applications, which are marketed across Europe by the Bechtle Group. The decision to expand in Rostock leverages its proximity to the University of Rostock, a long-term collaborator with Planet AI in application-oriented…
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newsAI Enhances E-Car Battery Lifespan Prediction Through Federated Learning

Algorithms, Analytics, Artificial Intelligence, Automotive, Europe, Industrial, Predictive analytics

November 27, 2023

Oleg Lazarov

AI, Annalena Belnarsch, AVL, battery aging prediction, battery lifetime prediction, battery management systems, data privacy, data protection, decentralized data, electric car batteries, error reduction, eTransportation Journal, federated learning, global neural network, neural networks, predictive maintenance, Prof. Markus Lienkamp, sustainable mobility, Technical University of Munich (TUM), Thomas Kröger, VDI Association for Automotive and Transport Engineering, vehicle fleets

GRAZ — A novel approach developed by AVL and the Technical University of Munich (TUM) is using artificial intelligence, specifically federated learning, to extend the lifespan of electric car batteries. This method involves training a global neural network with large, decentralized data from various vehicle fleets, without compromising data protection or sharing the original data,…
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newsInfineon Pioneers Quantum Electronics Lab for Quantum Computing Advancements

Algorithms, Artificial Intelligence, Europe, Industrial, Quantum Computing, Semiconductors

October 24, 2023

Sheryl Rivera

AI algorithms, anomaly detection, cryostat, Dresden, Infineon Technologies AG, ion trap quantum computing, Munich, neural networks, Oberhaching, power semiconductors, predictive maintenance, Quantum Electronics Lab, quantum states, qubits, Regensburg, Richard Kuncic, silicon qubits, superconductor qubits, Villach

MUNICH — Infineon Technologies AG has inaugurated a cutting-edge laboratory in Oberhaching, near Munich, dedicated to the development of quantum electronics. The primary objective of the facility is to engineer and validate microelectronic circuits tailored for quantum computers, emphasizing stability, scalability, and industrial viability. The lab, housing approximately twenty researchers, will also spearhead the development…
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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 networks

October 22, 2020

Sheryl 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 Kira

MENLO 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 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…
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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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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 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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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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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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newsTech and Academic Leaders Join Forces to Tackle Deepfake Threats with New Detection Challenge

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

September 5, 2019

Oleg Lazarov

academia, AI, artificial intelligence, challenge, collaboration, Cornell Tech, dataset, Deepfake Detection Challenge, deepfakes, DFDC, digital age, ethical data use, Facebook, ICCV, information integrity, International Conference on Computer Vision, manipulated media, media integrity, Microsoft, misinformation, MIT, neural networks, NeurIPS, Partnership on AI, Steering Committee, University of Oxford

MENLO PARK — A coalition of leading tech companies and academic institutions, including Facebook, Microsoft, and universities such as MIT, Cornell Tech, and the University of Oxford, have launched the Deepfake Detection Challenge (DFDC) to address the growing threat posed by AI-generated “deepfake” videos. The challenge aims to spur innovation in detecting manipulated media by…
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newsDFKI Leads European Deep Learning Advancements with NVIDIA DGX-2 Supercomputer

Artificial Intelligence, Deep learning, Europe, Industrial, Machine learning

October 11, 2018

Sheryl Rivera

AI, artificial intelligence, Deep Learning procedures, DFKI, German Research Center for Artificial Intelligence, Germany, GPU Technology Conference Europe GTC, Jensen Huang, machine learning, Munich, neural networks, NVIDIA, NVIDIA DGX-2 Supercomputer, Prof. Dr. Andreas Dengel, research, Rhineland-Palatinate, satellite image analysis, Science, technology

MUNICH – The German Research Center for Artificial Intelligence (DFKI) secures its position as a global leader in Deep Learning applications with the acquisition of Europe’s first NVIDIA DGX-2 supercomputer. Presented by NVIDIA CEO Jensen Huang at the GPU Technology Conference Europe in Munich, the DGX-2 marks a significant milestone in AI computing, empowering DFKI to…
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newsContinental Expands AI Research Network with Membership at UC Berkeley’s DeepDrive Center

Algorithms, Americas, Artificial Intelligence, Automotive, Europe

July 31, 2018

Sheryl Rivera

AI, artificial intelligence, Automotive, Automotive Applications, Berkeley, collaboration, Continental, Demetrio Aiello, Dr. Stefan Voget, Efficiency, Germany, innovation, Internet & Online, mobility, neural networks, Professor Trevor Darrell, Research Partnership, Robotics Lab, Safety-Critical Systems, Series Production, Silicon Valley, Strategic Partnerships, Talent Acquisition, technology, Testability, Transportation & Logistics, Travel, University of California

HANNOVER – Continental, a leading technology company, announced today its expansion of the international network for artificial intelligence (AI) with a new membership at the University of California, Berkeley’s DeepDrive (BDD) center in Silicon Valley. This strategic partnership aims to accelerate the development of neural networks for future automotive applications and enhance the safety of AI…
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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

Tag: neural networks

interviewsVery Long Interview with Grok 3 on AI: The Great Handover: How AI is Reshaping Our World

newsMeta Launches Digital Twin Catalog: Revolutionizing 3D Object Creation for E-Commerce and Immersive Experiences

newsOpenAI’s Cybersecurity Grant Program Drives Innovation in AI-Enhanced Cyber Defense

newsSiemens Unveils Catapult™ AI NN: Revolutionizing Neural Network Synthesis for Custom Silicon Acceleration

newsPlanet AI Drives Innovation as Bechtle Expands Rostock Hub for AI Solutions

newsAI Enhances E-Car Battery Lifespan Prediction Through Federated Learning

newsInfineon Pioneers Quantum Electronics Lab for Quantum Computing Advancements

newsFacebook AI Partners with Universities to Boost Diversity in AI Education

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

newsAI Revolutionizes MRI Scans with Speed and Precision

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

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

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

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

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

newsTech and Academic Leaders Join Forces to Tackle Deepfake Threats with New Detection Challenge

newsDFKI Leads European Deep Learning Advancements with NVIDIA DGX-2 Supercomputer

newsContinental Expands AI Research Network with Membership at UC Berkeley’s DeepDrive Center

What is RadicalShift AI?

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