AI systems – AI.RadicalShift

newsAnthropic Launches “Citations” to Boost Trust and Transparency in AI Responses

AI assistants, Americas, Artificial Intelligence, Automation, Generative AI, Internet & Online

January 24, 2025

Sheryl Rivera

accountability, AI, AI adoption, AI systems, AI tools, Anthropic, businesses, Citations, Claude, developers, evidence-based AI, factual accuracy, finance, hallucinations, Healthcare, large language models, law, misinformation, prompt engineering, responsible innovation, source material, source verification, transparency, transparency in AI, trustworthiness, verifiability

SAN FRANCISCO — AI research and safety company Anthropic today unveiled Citations, a new feature for its Claude models that aims to increase trust and accountability in AI-generated responses. Rolling out across the Anthropic API and Google Cloud’s Vertex AI, Citations provides detailed references to the source material used in answering user queries. A More…
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newsAnthropic Achieves ISO/IEC 42001:2023 Certification for Responsible AI Governance

AI assistants, AI models, Algorithms, Americas, Analytics, Artificial Intelligence, Industrial, Responsible AI

January 14, 2025

Sheryl Rivera

AI governance, AI management system, AI research, AI safety, AI systems, AI systems transparency, AI testing, ANSI National Accreditation Board, Anthropic, certification, Constitutional AI, ethical development, ISO/IEC 42001:2023, leadership, mitigation, privacy, public awareness, responsible AI, Responsible Scaling Policy, Risk Assessment, Schellman Compliance, security, transparency, Trust Center

SAN FRANCISCO — Anthropic is proud to announce that it has attained accredited certification under the newly established ISO/IEC 42001:2023 standard for its AI management system. As the first international standard dedicated to AI governance, ISO 42001 sets clear requirements to ensure AI systems are developed and utilized in a responsible manner, underscoring Anthropic’s ongoing…
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newsJuniper Networks Invests in Recogni to Drive Scalable, Energy-Efficient GenAI Solutions for Complex AI Models

AI assistants, AI models, Algorithms, Americas, Analytics, Artificial Intelligence, Cloud, Data centers, Edge computing, Generative AI, Industrial

November 12, 2024

Oleg Lazarov

AI Inference, AI inference accelerator, AI innovation, AI Models, AI operations, AI systems, AI-Native Networking, California, Celesta Capital, Cloud, cloud environments, cloud service providers, compute service providers, cost-effective AI systems, cost-effectiveness, data center, Data Centers, Edge, energy-efficient solutions, enterprises, Europe, generative AI, generative AI inference market, GreatPoint Ventures, hyperscalers, Juniper Networks, Juniper Networks AI-Native Networking Platform, Juniper’s venture funding, Marc Bolitho, networking, networking solutions, North America, Pareto mathematics, power efficiency, Rami Rahim, Recogni, Recogni’s AI accelerator, responsible scaling, scalability, Series C funding, total cost of ownership, venture funding

SUNNYVALE/ SAN JOSE — Juniper Networks, a leader in secure, AI-Native Networking, has announced its investment in Recogni, a pioneering company specializing in generative AI inference. As part of Recogni’s $102 million Series C funding round, co-led by Celesta Capital and GreatPoint Ventures, Juniper’s involvement will help accelerate the development of scalable, cost-effective, and energy-efficient solutions…
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newsIntel Unveils Xeon 6 and Gaudi 3 Accelerators to Drive AI Innovation and Scale for Enterprises

AI assistants, Algorithms, Americas, Analytics, Artificial Intelligence, Industrial, Open Source LLMs, Semiconductors

September 25, 2024

Sheryl Rivera

AI, AI acceleration capabilities, AI accelerators, AI platform, AI systems, AI tools, co-engineering, Dell Technologies, Developer Cloud, Gaudi 3, generative AI, HPC workloads, Hugging Face, IBM Cloud, Intel, Intel Gaudi, Intel Gaudi software, Intel Tiber, Intel Xeon, Jupyter notebooks, Kubernetes, oneAPI, OPEA, Open Platform Enterprise AI, P-cores, performance, PyTorch, PyTorch 2.4, RAG-based solutions, Red Hat Enterprise Linux AI, Red Hat OpenShift AI, SeekrFlow, Supermicro, TCO, Xeon 6

SANTA CLARA — Intel has introduced new advancements in AI infrastructure with the launch of the Xeon 6 processors featuring Performance-cores (P-cores) and the Gaudi 3 AI accelerators. These products are designed to address the growing demand for AI workloads in the data center and across cloud environments, providing greater efficiency, performance, and security. The…
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newsARM, a British Semiconductor Powerhouse, Unveils Powerful New Tools for Edge AI Development

Analytics, Artificial Intelligence, Computer vision, Electronics & Machinery, Europe, Generative AI, Industrial, Internet & Online, IoT, Neural networks, Security & Safety, Semiconductors

April 25, 2024

Oleg Lazarov

AI, AI systems, Alif Semiconductor, ARM, automation, Corstone-320, edge AI deployment, Ethos-U85 NPU, generative AI, Infineon, IoT, multi-camera data analysis, Paul Williamson, PyTorch, Reza Kazerounian, semiconductors, smart home, TensorFlow, TensorFlow Lite

CAMBRIDGE – Cambridge-based semiconductor and software design powerhouse ARM (NASDAQ: ARM) has introduced two advanced technologies aimed at transforming edge AI applications— the Ethos-U85 NPU and the Corstone-320 IoT Reference Design Platform. According to Paul Williamson, SVP and GM of the IoT LoB at ARM, these innovations promise to substantially boost the performance and efficiency…
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newsAvangrid Unveils Groundbreaking Data Science Initiative to Elevate Grid Reliability with AI Systems

Americas, Analytics, Artificial Intelligence, Energy, Gas & Oil, Europe, Infrastructure & Utilities, Predictive analytics

August 26, 2023

Oleg Lazarov

AI systems, artificial intelligence, Avangrid, Data Science, Equipment, ESG, GeoMesh, Grid Performance, Grid Reliability, HealthAI, Iberdrola, Maintenance, Pedro Azagra, predictive analytics, Predictive Health Analytics, Renewable energy

BILBAO — Avangrid, a subsidiary of Iberdrola, unveils its latest endeavor to bolster grid reliability and customer satisfaction through cutting-edge Artificial Intelligence (AI) systems. The newly established Data Science and Analytics team is set to pioneer innovative solutions aimed at optimizing grid performance and preemptively addressing maintenance needs, according to a press release published on…
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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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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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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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newsOpenAI Expands Support Base, Prepares for Next Phase of AI Advancement

Americas, Analytics, Artificial Intelligence, Chatbots, Generative AI, Generative pre-trained transformers (GPT), Industrial, Robotics

February 21, 2018

Sheryl Rivera

AI systems, artificial intelligence, Ashton Eaton, Brianne Theisen-Eaton, Dota, Elon Musk, Gabe Newell, Greg Brockman, Holden Karnofsky, Ilya Sutskever, Jaan Tallinn, Jed McCaleb, Julia Galef, leadership, Maran Nelson, Michael Seibel, OpenAI, Pieter Abbeel, Reid Hoffman, robotics, Sam Altman

SAN FRANCISCO — In a significant development for the future of artificial intelligence (AI) research, OpenAI announces a roster of new supporters and strategic changes to its leadership structure. This move marks a pivotal moment for the organization as it gears up for a new phase of innovation and collaboration. New Donors Join OpenAI’s Cause…
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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.