Deep reinforcement learning

AI21 and Invisible Technologies Announce Strategic Partnership to Drive AI Adoption for Enterprise

Retrieved on: 
Thursday, December 7, 2023
Software, Technology, Artificial Intelligence, Data Management, Weak supervision, SFT, Multimedia, InVision Technologies, Partnership, Human, Deep reinforcement learning, Management, Invisibility, AI

Today, AI21, a leader in generative AI for enterprise, and Invisible Technologies, an industry leader in AI training and support, have announced a strategic partnership to serve the enterprise with improved AI solutions.

Key Points: 
  • Today, AI21, a leader in generative AI for enterprise, and Invisible Technologies, an industry leader in AI training and support, have announced a strategic partnership to serve the enterprise with improved AI solutions.
  • Invisible’s unique approach to AI training, which encompasses deep partnership with researchers, efficient management of complex processes, and a holistic focus on agent engagement and development, distinguishes them in the AI landscape.
  • “Our strong belief in the synergistic power of technology and human expertise is at the core of our vision for the future of AI,” said Ben Plummer, CEO of Invisible.
  • “Our collaboration with AI21 highlights this synergy and stands as a testament to our shared values of delivering the highest quality in AI.”
    This partnership underscores AI21 and Invisible Technologies’ joint mission to make machines a thought partner to humans.

AirHop Launches AI/ML Powered Dynamic Energy Savings rApp for Open RAN

Retrieved on: 
Tuesday, February 21, 2023
Technology, Mobile, Wireless, Telecommunications, Software, Networks, Internet, Marketing, Multiplexing, Rapp, Ecosystem, Energy, Intelligence, Deep reinforcement learning, VMware, MWC, RIC, Service, Mobile World Congress, RAN, AirHop Communications, DRL, Carbon footprint, QOS, Renewable energy

AirHop Communications, a leading provider of Open RAN automation and optimization solutions, today announced the availability of its dynamic Energy Savings for Multi-Carrier (ESMC) rApp for Open RAN deployments.

Key Points: 
  • AirHop Communications, a leading provider of Open RAN automation and optimization solutions, today announced the availability of its dynamic Energy Savings for Multi-Carrier (ESMC) rApp for Open RAN deployments.
  • AirHop’s Energy Saving rApp addresses a key need as the industry starts to adopt open RAN technologies."
  • In addition, AirHop foresees additional extensions of energy savings capabilities and actions being possible from the AI/ML intelligence already part of the ESMC rApp.
  • “Our AI/ML powered Energy Savings rApp leverages DRL to provide dynamic management of multi-carrier RAN deployments, minimizing energy consumption and ensuring end-user quality of service.”

Energy Reduction Measures Including AI Are Now Needed to Avoid Energy Shortage in 2023

Retrieved on: 
Thursday, December 22, 2022
International Energy Agency Energy in Buildings and Communities Programme, Carbon footprint, Partnership, AI, Learning, Reuters, Risk, Deep reinforcement learning, Weather, Building material, International Energy Agency, Automation, Artificial intelligence, Hospital, Intelligence, HVAC, Renewable energy, Heating, ventilation, and air conditioning

A reduction in energy use will help towards energy security and pricing stability.

Key Points: 
  • A reduction in energy use will help towards energy security and pricing stability.
  • By reducing energy usage substantially this will help maintain energy supplies and help to stop prices spiralling out of control.
  • While energy savings and energy reduction are probably top priorities an AI optimised system can also adapt quickly to provide better user comfort.
  • With the risk of energy shortages highlighted for 2023 a substantial reduction in energy use is needed now to secure energy supplies worldwide and stabilise prices in 2023.

Arloid Advocates AI as Fundamental for EU to Reach Its 15% Gas Reduction Target

Retrieved on: 
Thursday, September 8, 2022
Technology, Heat, HVAC, VPN, Council Implementing Regulation (EU) No. 282/2011, Ventilation, Council, Carbon footprint, Building material, Goal, Learning, Artificial intelligence, EU Council, Automation, Virtual private network, Climate, Deep reinforcement learning, Environment, AI, Renewable energy, Heating, ventilation, and air conditioning, EU

LONDON, Sept. 8, 2022 /PRNewswire/ -- Artificial intelligence (AI) could be used as a fundamental strategy for EU member states to help reach the voluntary 15% gas reduction target placed on them by the EU Council in July 2022.

Key Points: 
  • LONDON, Sept. 8, 2022 /PRNewswire/ -- Artificial intelligence (AI) could be used as a fundamental strategy for EU member states to help reach the voluntary 15% gas reduction target placed on them by the EU Council in July 2022.
  • Most energy saving measures have a significant capital outlay but Arloid's AI can be implemented without cost until savings are made.
  • This makes it one of the cheapest and easiest ways for EU states to significantly reduce energy consumption with no upfront costs.
  • AI should now top the political agenda right across the EU to help member states reach their voluntary gas reduction targets of 15%.

At Artificial General Intelligence (AGI) Conference, DRLearner is Released as Open-Source Code -- Democratizing Public Access to State-of-the-Art Software for AI/Machine Learning

Retrieved on: 
Friday, August 19, 2022
SingularityNET, Software, Metaphysics, Research, Deep Mind, Never Give Up Dodo, Organization, Leadership, RL, AGI, Working Group, DARPA, Philosophy, Microsoft, Dartmouth, Artificial intelligence, Interdisciplinarity, Intelligence, Deep reinforcement learning, IARPA, Thought, Singularity, Machine learning, Consciousness, Artificial general intelligence, AIS, Dartmouth College, LinkedIn, Principal, Elsevier, Data science, Algorithm, Budget, Achievement, DeepMind, Pattern, Universal Music Publishing Group, Learning, Goal, Conference, Mental health, Method, Medical device, Toy, Management, Renewable energy, AI

(Within the AI research community these Arcade Learning Environment [ALE] benchmark tests are widely accepted as a proxy for situational intelligence.)

Key Points: 
  • (Within the AI research community these Arcade Learning Environment [ALE] benchmark tests are widely accepted as a proxy for situational intelligence.)
  • "But with the open-source release of the DRLearner code, we are helping democratize access to state-of-the-art machine learning tools of high-performance reinforcement learning," continued Poulin.
  • Ben Goertzel, Chairman of the AGI Society and AGI Conference Series, contextualized DRLearner as well-aligned with the goals of the AGI conference.
  • Increasingly, there is a call for a transition back to confronting the more difficult issues of "human level intelligence" and "artificial general intelligence (AGI)."

At Artificial General Intelligence (AGI) Conference, DRLearner is Released as Open-Source Code -- Democratizing Public Access to State-of-the-Art Software for AI/Machine Learning

Retrieved on: 
Friday, August 19, 2022
SingularityNET, Software, Metaphysics, Research, Deep Mind, Never Give Up Dodo, Organization, Leadership, RL, AGI, Working Group, DARPA, Philosophy, Microsoft, Dartmouth, Artificial intelligence, Interdisciplinarity, Intelligence, Deep reinforcement learning, IARPA, Thought, Singularity, Machine learning, Consciousness, Artificial general intelligence, AIS, Dartmouth College, LinkedIn, Principal, Elsevier, Data science, Algorithm, Budget, Achievement, DeepMind, Pattern, Universal Music Publishing Group, Learning, Goal, Conference, Mental health, Method, Medical device, Toy, Management, Renewable energy, AI

(Within the AI research community these Arcade Learning Environment [ALE] benchmark tests are widely accepted as a proxy for situational intelligence.)

Key Points: 
  • (Within the AI research community these Arcade Learning Environment [ALE] benchmark tests are widely accepted as a proxy for situational intelligence.)
  • "But with the open-source release of the DRLearner code, we are helping democratize access to state-of-the-art machine learning tools of high-performance reinforcement learning," continued Poulin.
  • Ben Goertzel, Chairman of the AGI Society and AGI Conference Series, contextualized DRLearner as well-aligned with the goals of the AGI conference.
  • Increasingly, there is a call for a transition back to confronting the more difficult issues of "human level intelligence" and "artificial general intelligence (AGI)."

VIAVI 6G Forward Program Drives Academic and Industry Research

Retrieved on: 
Tuesday, August 16, 2022
R, Research, Industry, Artificiality, Cluster Innovation Centre, University, ML, Machine learning, Satellite, Technology, Artificial intelligence, Environment, WNCG, American, Integration, Communications satellite, UE, DRL, European Commission, Terahertz, Intelligence, Deep reinforcement learning, G, Program, RIC, Wireless, Brain, Colosseum, Solution, YouTube, Wireless network, Government, Institute, Twitter, Teleport Communications Group, RAN, University of Surrey, Transport, Automation, CTO, NASDAQ, RF, Fourth Industrial Revolution, LinkedIn, MIMO, Moses Austin, Mobile phone, Facebook, Northeastern University, High-pass filter

CHANDLER, Ariz., Aug. 16, 2022 /PRNewswire/ -- Viavi Solutions Inc. (VIAVI) (NASDAQ: VIAV) today announced that it is supporting 6G academic and industry research worldwide through its new 6G Forward program.

Key Points: 
  • CHANDLER, Ariz., Aug. 16, 2022 /PRNewswire/ -- Viavi Solutions Inc. (VIAVI) (NASDAQ: VIAV) today announced that it is supporting 6G academic and industry research worldwide through its new 6G Forward program.
  • At Northeastern University, VIAVI is supporting the Institute for Wireless Internet of Things and the Open6G cooperative research center led by Professor Tommaso Melodia.
  • "Academic institutions play a vital role in exploring the potential of 6G," said Dr. Ian Wong, CTO Office, VIAVI.
  • 6G BRAINS , which is developing AI-driven multi-agent Deep Reinforcement learning (DRL) to perform resource allocation in 6G networks for Industry 4.0, intelligent transportation, e-health and other applications.

LG AI Research Takes a Leap as 'Global AI Research Hub'

Retrieved on: 
Tuesday, March 22, 2022
Wellman, University, Ai no Sono (Touch My Heart!), Partnership, College, Ethics, University of Michigan Business Engagement Center, Multimedia, News, Research, Faculty, MOU, U.S. News & World Report, University of Michigan, CEO, LG Corporation, School, Employment, American, Natural language processing, Computer science, U-M, Bias, Technology, Engineering education, University of Michigan College of Engineering, Ecosystem, Machine learning, Fairness, Lab, Student, Dean (education), Deep reinforcement learning, AI, American Center, Champaign County, Illinois, LG, CSE, Medical device, Tutoring, Engineering

'LG AI Research Center, Ann Arbor' will serve as a key base leading the global AI research cooperation ecosystem led by Honglak Lee.

Key Points: 
  • 'LG AI Research Center, Ann Arbor' will serve as a key base leading the global AI research cooperation ecosystem led by Honglak Lee.
  • In addition, Professor Moontae Lee of the University of Illinois, who joined LG AI Research earlier this year and is in charge of Fundamental Research Lab which studies large models and advanced AI technologies, will also lead the research of LG AI Research Center.
  • LG AI Research will also strengthen its own research capabilities, such as actively recruiting North American AI talent to advance next generation AI technology at 'LG AI Research Center, Ann Arbor', the global research base.
  • LG AI Research is also actively recruiting talented people from North America to strengthen the research capabilities of LG AI Research Center, Ann Arbor.

REPLY: Artificial Intelligence is Fostering the Evolution of Customer Experience

Retrieved on: 
Tuesday, November 2, 2021
Data Management, Communications, Technology, Mobile, Wireless, Software, Other Communications, Internet, Customer, Natural language, Research, Efficiency, SONAR, ROI, Industry, ISIN, Data collection, MEM, MLOps, MTA, Cloud computing, Emotion, Sentiment analysis, Marketing, Data management, Affective computing, Insurance, Computer vision, STAR, Deep reinforcement learning, Patent, Natural language processing, Learning, Internet, Solution, Artificial intelligence, Customer experience, Bronchopulmonary segment, CTO, Chatbot, AI, Medical device, Customer service

Replys new trend report , which was conducted with the data-driven trend platform SONAR, shows up how Artificial Intelligence (AI) will play a crucial role in the continuous improvement of the future Customer Experience (CX).

Key Points: 
  • Replys new trend report , which was conducted with the data-driven trend platform SONAR, shows up how Artificial Intelligence (AI) will play a crucial role in the continuous improvement of the future Customer Experience (CX).
  • The use of AI will exponentially increase data collection capabilities to better understand consumer values and attitudes on a large scale.
  • In all areas of marketing - whether in marketing research, marketing strategy or marketing action - AI will have a significant impact.
  • The design of contemporary customer experiences is no longer possible without the use of Artificial Intelligence.

STR technology to support U.S. Air Force networked collaborative autonomy initiative

Retrieved on: 
Monday, September 20, 2021
Deep reinforcement learning, OH, U.S. Air Force aeronautical rating, Artificial intelligence, Defense Innovation Unit, Efficiency, Program, The, Solution, Learning, Joint, STR, Principal, CA, Colosseum, Face, Risk, Technology, Algorithm, Intelligence, Research, Time, Physics, Air force, Risk management

STR creates cutting-edge technology and research in reinforcement learning agents, collaborative autonomy, and decision-making.

Key Points: 
  • STR creates cutting-edge technology and research in reinforcement learning agents, collaborative autonomy, and decision-making.
  • Under this effort, STR will leverage its technology to deliver collaborative autonomy for groups of long-range, high-speed aerial platforms operating in contested environments.
  • STR's Collaborative Artificial Intelligence Task Execution Engine (CAITEE) improves both the efficacy and efficiency of such air platforms.
  • When successful, CAITEE will ensure that the Air Force has a mature foundation of autonomy algorithms to support future development of air systems, reducing the costs and time required to bring these capabilities to the warfighter.