Machine learning is a branch of artificial intelligence in which systems use training data to recognize patterns and learn to make make decisions without explicit human programming. Machine learning algorithms can be supervised or unsupervised, depending on the level of human involvement in learning to predict outcomes. In reinforcement learning, machines learn through trial and error, weighting the results to improve behavior over time. Assumptions by the people building data sets or models can cause AI bias. Machine learning is used in object recognition and classification for robots and autonomous vehicles.
Latest Machine Learning posts
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Flexibility, scalability at the ‘Hub’ of Locus Robotics’ offerings
June 20, 2024
Locus Robotics, through its LocusOne and LocusHub platforms, manage fleets of Origin and Vector AMRs for organizations across industries.
MODEX 2024: Fizyr to unveil partner program and certified vision packs
March 8, 2024
AI-enabled machine vision developer Fizyr aims to introduce its certified vision packs to more integrators and components manufacturers through its new partner program.
Micropsi, Fraunhofer open lab to study AI-based machine vision use cases
February 6, 2024
Micropsi will demonstrate its MIRAI machine vision system at ATX West from February 6-9. U.S. companies are invited to submit use cases to a new application lab.
NVIDIA Robotics Research Lab to Present 15 Papers at Conference on Robot Learning
October 30, 2023
NVIDIA will present its AI and simulation advances at CoRL, and NVIDIA Jetson is helping researchers develop a robot for undersea data collection.
MIT CSAIL Develops AI to Help Household Robots Halve Planning Time
July 30, 2023
MIT CSAIL said its PIGINet uses machine learning to streamline household robots' task and motion planning by assessing and filtering feasible solutions in complex environments.
RobotLAB to Host Robotics Summit at New Headquarters in Southlake, Texas
July 6, 2023
RobotLAB, a robotics integrator, will host a summit that will feature insights from numerous university professors with expertise in machine learning, finance, and marketing.
SWIFTI CRB 1300 From ABB Offers Industrial Speed, Accuracy With Cobot Safety
December 12, 2022
The SWIFTI CRB 1300 industrial cobot is designed to be easy for non-robotics specialists to deploy and safe around human workers, according to ABB Robotics.
Dynam.AI Launches Contextual Machine Learning Approach for Autonomous Services
November 15, 2022
Dynam.AI has released a new machine-learning product that helps artificial intelligence understand the laws of physics.
Everyday Robots Moves Out of Alphabet X, Reports Progress Toward General Purpose Robot
November 20, 2021
From cleaning a table and picking up toys to opening doors, everyday tasks are coming within reach of service robots, says Everyday Robots, which is spinning out of X Development.
TRI Announces Machine Learning Advances at International Conference on Computer Vision
October 11, 2021
The Toyota Research Institute, or TRI, is presenting six papers that it said advance the state of the art in machine learning and computer vision for robots and other applications.
9 Robotics and AI Companies Make Futurology List of 101 Silicon Valley Innovators
September 2, 2021
Silicon Valley is home to hundreds of robotics and AI companies, but here are nine innovators worth watching in autonomous vehicles, dexterous manipulation, and more.
Alphabet’s X Launches Intrinsic to Make Robot Programming Easier
July 23, 2021
A team at X, the innovation unit of Alphabet, has spent five and a half years developing tools to make it easier for robots to sense and be used in...
Farm Robots Could Lead to a Utopian—or Dystopian—Future, Argues Researcher
July 18, 2021
As farms of all sizes look to adopt automation, robotics developers and policymakers should take a broader view of the potential environmental impacts, says a German scientist.
MHS Robotics Spins Out From R&D Unit to Provide Supply Chain Technologies
July 14, 2021
MHS Robotics offers autonomous mobile robots, computer vision, machine vision, simulation, 3D cameras, and end effectors for e-commerce and parcel logistics facilities.
German, Canadian Researchers Work to Improve Robot Picking in FLAIROP Project
July 7, 2021
Researchers from the Karlsruhe Institute of Technology, Festo, Darwin AI, and the University of Waterloo are working to apply deep learning to improve robotic picking in warehouses.
