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newsGeorgia Tech and Meta Collaborate on Groundbreaking Dataset to Drive Innovation in Direct Air Capture Technology
AI assistants, Algorithms, Americas, Analytics, Artificial Intelligence, Datasets, Environment, Machine learning, Open Source LLMsSheryl Rivera
ACS Central Science, AI, Andrew J. Medford, Anuroop Sriram, Carbon Capture, carbon dioxide removal, carbon emissions, climate change, collaboration, dataset, David Sholl, direct air capture, energy, environmental impact, FAIR, Fundamental AI Research, Georgia Tech, innovation, machine learning, materials chemistry, Matt Uyttendaele, Meta, MOFs, negative-emission technologies, open-source, OpenDAC, quantum mechanics, scientific research, sorbent discovery, sustainabilityThis post was originally published on the Georgia Tech Blog. MENLO PARK — In an ambitious effort to combat climate change, Georgia Tech and Meta have joined forces to develop a massive open-source dataset designed to advance AI-driven solutions for carbon capture. This initiative, dubbed OpenDAC, aims to accelerate the development of direct air capture (DAC)…
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newsEPFL, Yale School of Medicine, Meta, and ICRC Collaborate to Launch Meditron: AI Suite for Low-Resource Medical Settings
AI assistants, Algorithms, Americas, Analytics, Artificial Intelligence, Datasets, Healthcare, LLMs (Large Language Models), Machine learning, Open Source LLMsSheryl Rivera
AI, clinical decision-making, EPFL, evidence-based care, global collaboration, Healthcare, humanitarian response, ICRC, Llama 2, Llama 3, low-resource medical settings, machine learning, Mary-Anne Hartley, medical benchmarks, medical data, Medical Innovation, Meditron, MedMCQA, MedQA, Megatron-LM, Meta, open validation, open-source, Yale School of MedicineMENLO PARK — In the world of healthcare, having timely and accurate information can be a matter of life and death. Recognizing this need, Meditron, a suite of open-source large multimodal foundation models designed to aid in clinical decision-making and diagnosis, has been developed. Built on Meta’s Llama 2 platform and continually refined with input…
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newsMeta Launches Smarter, Faster, and Responsible AI Assistant Powered by the Advanced Llama 3 Model
AI assistants, Algorithms, Americas, Analytics, Artificial Intelligence, Generative AI, Internet & Online, Machine learning, Open Source LLMs, Reinforcement learning, Responsible AIOleg Lazarov
AI assistant, artificial intelligence, benchmarks, coding, developer tools, fine-tuning, generative AI, human feedback, large language model, Llama 3, machine learning, Meta, Meta AI, Meta ecosystem, Meta Llama 3, open community, open-source, reasoning, reinforcement learning, responsible AI, supervised fine-tuning, training dataMENLO PARK — Meta has adopted a robust and forward-thinking approach to ensure that its Meta AI and Meta Llama 3 models are developed, deployed, and used responsibly. The company recognizes the transformative power of artificial intelligence but also understands the importance of mitigating risks associated with this technology. To this end, Meta has implemented…
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newsMeta Releases OpenEQA Benchmark to Advance AI’s Understanding of Physical Spaces
AI assistants, Algorithms, Americas, Analytics, Artificial Intelligence, Augmented reality, Deep learning, Generative AI, Generative pre-trained transformers (GPT), Internet & Online, LLMs (Large Language Models), Machine learning, RoboticsSheryl Rivera
active EQA, AGI, AI-powered assistant, artificial general intelligence, augmented reality, benchmark, embodied AI, embodied question answering, episodic memory, GPT-4V, home robot, Jitendra Malik, LLM-Match, machine learning, Meta, Meta AI, multimodal learning, OpenEQA, perception, physical environments, real-world scenarios, reasoning, robots, smart glasses, smart home assistants, spatial reasoning, vision-language models, VLMs, word models, world modelsMENLO PARK — Meta AI has unveiled the Open-Vocabulary Embodied Question Answering (OpenEQA) benchmark, a cutting-edge tool aimed at evaluating an AI agent’s ability to understand and interact with physical environments. This release marks a significant step toward developing AI systems capable of advanced spatial reasoning and world-modeling, moving beyond language models that rely solely…
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newsChalk Recognized as One of CB Insights’ Top 100 Most Promising AI Companies of 2024
Americas, Analytics, Artificial Intelligence, Generative AI, Industrial, Machine learning, Security & SafetyOleg Lazarov
AI 100, AI development platforms, AI industry, CB Insights, Chalk, Databricks, e-commerce transformation, fraud prevention, generative AI, industry partnerships, innovation, investor backing, machine learning, Melio, Mosaic Scores, most promising AI companies, patent activity, Ramp, real-time disease detection, Recognition, team strength, Vital, WhatnotSAN FRANCISCO — Chalk is proud to announce its inclusion in CB Insights’ 2024 AI 100, a prestigious ranking that identifies the most promising AI companies globally. This recognition places Chalk alongside leading firms like Databricks as a standout player in the machine learning and AI development landscape. Transforming AI with Developer-Focused Solutions Since its…
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newsFoundry Raises $80M to Simplify and Scale AI Compute Infrastructure for the Future
Americas, Analytics, Artificial Intelligence, Automation, Cloud, Industrial, Machine learning, StartupsSheryl Rivera
AI compute infrastructure, AI revolution, AI/ML workloads, cloud computing, Cost reduction, cutting-edge startups, DeepMind, Eric Schmidt, Foundry, GPUs, Jeff Dean, KKR, LG, Lightspeed Venture Partners, machine learning, Microsoft, Microsoft Ventures, ML infrastructure, next-generation platform, OpenAI, orchestration platform, Paul Milgrom, research institutions, scalable compute, Seed and Series A, Sequoia Capital, strategic collaborations, technical challengesPALTO ALTO — Building the Future of Compute Access Foundry, a groundbreaking initiative aimed at reimagining global compute infrastructure, has announced $80 million in Seed and Series A funding. This funding will drive the development of a revolutionary platform designed to maximize the utility and accessibility of AI compute resources, addressing critical challenges in the rapidly…
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newsGoogle Cloud and NVIDIA Deepen Partnership to Enhance Accessibility and Scalability of AI Infrastructure
Americas, Artificial Intelligence, Cloud, Industrial, Machine learning, Semiconductors, SupercomputerOleg Lazarov
SANTA CLARA — On March 18, 2024, Google Cloud and NVIDIA announced a significant expansion of their partnership aimed at empowering the machine learning (ML) community with enhanced technology to accelerate the development, scaling, and management of generative AI applications. The move represents a concerted effort to foster more accessible and open AI infrastructure. Key…
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newsEricsson and Umniah Redefine Telecom Landscape in Jordan with AI-Powered Network Enhancement
Artificial Intelligence, Asia, Big Data, Europe, Industrial, Infrastructure & Utilities, Machine learning, TelecomSheryl Rivera
STOCKHOLM — Ericsson (NASDAQ: ERIC) has announced a strategic partnership with Umniah, aimed at transforming network performance across Jordan utilizing Ericsson’s Cognitive Software portfolio. This collaboration marks a significant milestone in the telecommunications landscape of the region, leveraging state-of-the-art Artificial Intelligence (AI) and Machine Learning (ML) technologies to enhance network efficiency and ensure an exceptional…
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newsVodafone and Intel Join Forces to Drive Innovation in Open RAN Platforms
Oleg Lazarov
4th Gen Intel Xeon processors, AI, artificial intelligence, Dan Rodriguez, energy efficiency, Intel, Intel vRAN Boost, machine learning, ML, network architecture, network slicing, Open Radio Access Networks, Open RAN, RAN, Santiago Tenorio, Telecommunication Institute of University of Málaga, telecommunications data centers, vodafoneBERKSHIRE — Vodafone (LON: VOD), a leading British multinational in technology communications, partners with Intel to expand their collaborative efforts in optimizing advanced algorithms for Open Radio Access Networks (RAN) platforms. The alliance aims to deliver superior performance while minimizing energy consumption, building upon their longstanding research partnership centered at Vodafone’s innovation center in Málaga,…
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newsEricsson Research Türkiye Takes the Helm in Advancing 6G Security with ROBUST-6G Initiative
Artificial Intelligence, Asia, Cybersecurity, Europe, Industrial, Infrastructure & Utilities, Machine learning, TelecomSheryl Rivera
STOCKHOLM — Ericsson Research Türkiye has announced its pivotal role in the groundbreaking ROBUST-6G project, launched as part of the latest Smart Networks and Services Joint Undertaking (SNS JU) call. This collaborative initiative aims to pioneer innovative solutions in 6G security technologies, vital for addressing the complex and diverse needs of future use cases, according…
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newsMeta Launches V-JEPA: A New Model for Video-Based Advanced Machine Intelligence
AI assistants, Algorithms, Americas, Analytics, Artificial Intelligence, Internet & Online, Machine intelligence, Machine learning, Media, Predictive analyticsOleg Lazarov
abstract representation space, action recognition, advanced machine intelligence, AI community, AI perception, AMI, CC BY-NC, Creative Commons NonCommercial, fine-grained object interactions, general machine intelligence, JEPA, machine learning, Meta, Meta AI, non-generative model, open science, planning, self-supervised learning, spatial-temporal events, V-JEPA, Video Joint Embedding Predictive Architecture, video streams, video-based AI, world models, Yann LeCunMENLO PARK — Meta has unveiled the Video Joint Embedding Predictive Architecture (V-JEPA), a pioneering model designed to push forward advanced machine intelligence (AMI). V-JEPA is a non-generative model that learns through predicting masked or missing sections of video in an abstract representation space, making it a crucial step toward AI that understands and interacts…
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newsChalk Raises $10 Million to Transform Data Platforms for Real-Time Machine Learning and AI
Algorithms, Americas, Analytics, Artificial Intelligence, Data centers, Financial, Generative AI, Healthcare, Industrial, Machine learningOleg Lazarov
$10 million seed funding, AI infrastructure, Andrew Moreland, Chalk, credit underwriting, data platform, data-driven decision-making, developer experience, developer-first platform, e-commerce, Elliot Marx, emergency room decisions, fintech, Fraud detection, General Catalyst, generative AI, Healthcare, live shopping platform, machine learning, Marc Freed-Finnegan, Melio, Mission Lane, MoneyLion, Pipe, Ramp, real-time AI, real-time capabilities, recommendations, Risk Intelligence Platform, Ryan Delgado, Spark, Te Riu Warren, Unusual Ventures, Vital, Whatnot, XfundSAN FRANCISCO — Chalk, a forward-thinking startup dedicated to transforming data infrastructure for machine learning and generative AI, has announced the successful closure of a $10 million seed funding round. Led by General Catalyst, Unusual Ventures, and Xfund, this investment will propel Chalk’s mission to build a cutting-edge platform tailored to modern AI workflows. Addressing…
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newsEricsson Launches AI-Driven Transport Automation Controller to Streamline Network Operations
Analytics, Artificial Intelligence, Automation, Cloud, Europe, Industrial, Infrastructure & Utilities, Internet & Online, Machine learning, TelecomOleg Lazarov
AI, AIOps, Appledore Research, artificial intelligence, automatic configuration, capacity utilization, communications service providers, consumer use cases, CSPs, data analysis, data-driven decisions, enterprise use cases, Ericsson, Ericsson Transport Automation Controller, Grant Lenahan, Head of Product Line Transport Automation, high-speed connectivity, human errors, IP networks, Jari Augustin, low-latency connectivity, machine learning, microwave networks, ML, mobile transport network, network degradations, network efficiency, network monitoring, network security, operational costs, optical networks, Partner and Principal Analyst, pathfinding, preventive maintenance, real-time network observability, scalable design, self-healing networks, self-optimizing networks, total cost of ownership, web-based user interfaceSTOCKHOLM — Ericsson has introduced the Ericsson Transport Automation Controller, a pioneering cloud-native transport controller designed to leverage artificial intelligence (AI) and machine learning (ML) for the analysis and automation of microwave, IP, and optical networks. This new technology offers communications service providers (CSPs) an advanced tool to maximize the efficiency of mobile transport networks,…
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newsServier and Owkin Spearhead AI-Driven Targeted Therapies for Disease Treatment
Sheryl Rivera
PARIS — Servier, a leading global pharmaceutical group, and Owkin, a French American biotech specializing in AI applications for drug discovery and diagnostics, have unveiled an innovative collaboration aimed at leveraging artificial intelligence to advance targeted therapies across various disease domains, notably oncology, according to a press release published on EuropaWire . Claude Bertrand, Executive…
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newsUniversity of East Anglia and GeoAcoustics Revolutionize Seabed Mapping with AI-Enhanced System
Oleg Lazarov
AI, Awards, Chris McKenna, collaboration, Cutting-Edge Skills, data processing, Dr. Danny Websdale, Dr. Richard Dowdeswell, Dr. Wenjia Wang, feasibility study, GeoAcoustics, Innovate UK, innovation, integration, King’s Award for Enterprise, KTP Awards, machine learning, Prof. Beatriz de la Iglesia, Real-Time Data Accuracy, Real-Time Data Processing, Research and Innovation, Revolutionize, Seabed Mapping, Sonar Technology, Sudhanshu Gaur, Thomas Noren, University of East AngliaNORWICH — The University of East Anglia (UEA) and GeoAcoustics Ltd have unveiled a groundbreaking AI-enhanced seabed mapping system, marking a significant milestone in the field of marine surveying. Developed in collaboration with UEA’s School of Computing Sciences, the innovative solution promises to revolutionize the speed and accuracy of seabed mapping, leveraging the power of…
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newsEricsson, AWS, and Hitachi Unveil Breakthrough in Manufacturing Efficiency Through 5G and AI Integration
Americas, Artificial Intelligence, Automation, Cloud, Education, Europe, Industrial, Machine learningOleg Lazarov
5G, AI, automation, AWS, Chris McKenna, Cloud, Cloud Technologies, collaboration, Costs, environmental impact, Ericsson, Hitachi, integration, machine learning, Machine Learning Models, Manufacturing Efficiency, Private 5G, Private Wireless, productivity, Quality Inspections, Reliability, safety, security, Sudhanshu Gaur, Thomas Noren, Transformation, WebinarSTOCKHOLM — Ericsson, Amazon Web Services (AWS), and Hitachi have joined forces to demonstrate the transformative potential of 5G, artificial intelligence (AI), and automation in revolutionizing manufacturing processes. Leveraging already available technology solutions, the collaboration aims to enhance productivity, efficiency, environmental sustainability, and safety while reducing operational costs, according to a press release published on…
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newsEricsson and RMIT Spearhead Industry 4.0 with AI Lab Launch in Hanoi
Artificial Intelligence, Asia, Augmented reality, Automation, Cloud, Education, Europe, Machine learning, Virtual realitySheryl Rivera
STOCKHOLM — Ericsson and RMIT join forces to inaugurate an AI Lab in Hanoi, marking a significant milestone in Vietnam’s digital transformation journey. Stemming from their successful 5G education collaboration, the AI Lab initiative aims to equip Vietnamese students with cutting-edge skills in AI, machine learning, and other emerging technologies crucial for Industry 4.0. With…
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newsBioNTech Strengthens AI Portfolio Through InstaDeep Acquisition
Oleg Lazarov
MAINZ — BioNTech SE (Nasdaq: BNTX) has finalized its acquisition of InstaDeep Ltd. (“InstaDeep”), a renowned global AI and machine learning technology company. The acquisition, initially announced on January 10, 2023, solidifies BioNTech’s commitment to advancing AI-driven drug discovery and developing cutting-edge immunotherapies and vaccines to tackle diseases with significant unmet medical needs. This move…
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newsVoith’s AI-driven Quality Solution Named Finalist in 2023 Manufacturing Leadership Awards
Sheryl Rivera
2023 Manufacturing Leadership Awards, artificial intelligence, Brian Good Sr., digital technologies, machine learning, Manufacturing Leadership Awards Gala, manufacturing lines, monofilament yarn, PDX, Predictronics, process control, productivity, quality inspection, South Carolina, Summerville, VoithHEIDENHEIM — Voith, a global technology company, has been recognized as a finalist in the prestigious 2023 Manufacturing Leadership Awards for its exceptional contribution in the field of Artificial Intelligence and Machine Learning. The project titled “Ensuring High Quality Through Analytics – An AI-Based Predictive Quality Solution for a Yarn Manufacturing Line” has earned Voith…
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newsSiemens and Microsoft Forge Groundbreaking Alliance Unveiling AI-Powered Factory Automation Breakthrough at Hannover Messe
Sheryl Rivera
MUNICH — Siemens and Microsoft have joined forces to showcase the transformative potential of artificial intelligence (AI) in revolutionizing factory automation. Their collaboration, unveiled at Hannover Messe, marks a significant milestone in leveraging AI to drive innovation and efficiency across the lifecycle of industrial products, from design and engineering to manufacturing and operations, according to…
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