Day: July 29, 2022
SparkFun Launches Arducam Pico4ML-Powered Machine Learning and AI Concept Kit – Hackster.io
SparkFun has launched a new bundled designed to help people break into machine learning and artificial intelligence projects, using Arducam’s Pico4ML Raspberry Pi RP2040-powered tinyML board as the basis.”The Machine Learning and AI Concept Kit is a starting place for working with predictive algorithms trained from historical data and inputs,” explains SparkFun’s Chris McCarty. “With…
Weekly AiThority Roundup: Biggest Machine Learning, AI, Robotic And Automation Updates – July Week 05 – AiThority
This is your AI Weekly Roundup today. We are covering the top updates from around the world. The updates will feature state-of-the-art capabilities in artificial intelligence (AI), Machine Learning, Robotic Process Automation, Fintech, and human-system interactions. We cover the role of AI Daily Roundup and its application in various industries and daily lives. UK and Japan-based crypto…
Machine Learning vs. AIOps: Battle for Better Answers and Automation – thenewstack.io
Dynatrace sponsored this post. Even before the COVID-19 pandemic, IT operations were under increasing pressure. Bipin Singh Bipin is director of product marketing — platform and AIOps at Dynatrace. He is a 15-year veteran in software and infrastructure for data management, machine learning and AI. He has held roles in marketing, product management and engineering…
Get Comfortable with Artificial Intelligence – Associations Now
By Patrick Dorsey, EVP Marketing, Impexium In 1955, Stanford Professor John McCarthy, a computer and cognitive scientist coined the term artificial intelligence (AI). Now, nearly 70 years later, the ability for machines to simulate human intelligence is creating global impact across industries. Today’s AI technology helps organizations solve problems and make fast, data-driven decisions cost-effectively…
AI/ML Innovations Inc. Announces Annual General Meeting Results
– All Resolutions Approved – TORONTO, ON / ACCESSWIRE / July 28, 2022 / AI/ML Innovations Inc. (CSE:AIML)(OTCQB:AIMLF)(FWB:42FB), a company committed to acquiring and advancing Artificial Intelligence/Machine Learning technologies that address urgent societal needs, announces the results of its Annual General Meeting held on July 27, 2022. A total of 5,412,712 common shares were voted…
New hardware offers faster computation for artificial intelligence, with much less energy
An analog deep learning processor powered by ultrafast protonics. Credit: Ella Maru Studio, Murat Onen As scientists push the boundaries of machine learning, the amount of time, energy, and money required to train increasingly complex neural network models is skyrocketing. A new area of artificial intelligence called analog deep learning promises faster computation with a…
How machine learning is driving e-commerce | Modern Shipper – FreightWaves
The views expressed here are solely those of the author and do not necessarily represent the views of FreightWaves or its affiliates.The retail landscape is rapidly changing due to the consumer’s desire for speed and instant gratification. More specifically, last-mile delivery particularly has evolved due to the offline paradigm shift brought on by food delivery…
AI interns hit the gas on machine learning – GCU News – GCU Today
Kenan Kao (left) watches Kevin Chor (center) and Atharva Goel (right) test their AWS DeepRacers, autonomous vehicles used to teach developers reinforcement learning. They are three of about 24 High School Summer STEM Interns on the GCU campus. They’re zipping and hustling and moving and burning rubber, smoking the other racers and leaving them in…
Analogue deep learning offers faster computation for artificial intelligence with much less energy – Times Now
The amount of time, effort, and money needed to train ever-more-complex neural network models are soaring as researchers push the limits of machine learning. Analogue deep learning, a new branch of artificial intelligence, promises faster computation with less energy consumption.The findings of the research were published in the journal ‘Science’.Programmable resistors are the key building…
‘Artificial synapse’ could make neural networks work more like brains – New Scientist
Networks of nanoscale resistors that work in a similar way to nerve cells in the body could offer advantages over digital machine learning Technology 28 July 2022 By Alex Wilkins Artwork of nodes in a networkKiyoshi Takahase Segundo/Alamy A resistor that works in a similar way to nerve cells in the body could be used…