Toshiba Corporation claims to have developed the world’s most accurate and highly versatile Visual Question Answering (VQA) AI that can recognise not only people and objects but also colours, shapes, appearances and background details in images.
The AI overcomes the difficulty of answering questions on the positioning and appearance of people and objects and possesses the ability to learn the information required to handle a wide range of questions and answers.
Toshiba presented the technology at ICANN2021, the international conference for neural networks, on 14 September. Read More
Monthly Archives: September 2021
UK National AI Strategy
Our ten-year plan to make Britain a global AI superpower
Over the next ten years, the impact of AI on businesses across the UK and the wider world will be profound – and UK universities and startups are already leading the world in building the tools for the new economy. New discoveries and methods for harnessing the capacity of machines to learn, aid and assist us in new ways emerge every day from our universities and businesses. Read More
Amazon’s AI Cameras Are Punishing Drivers for Mistakes They Didn’t Make
Amazon delivery drivers say surveillance cameras installed in their vans have made them lose income for reasons beyond their control.
In early 2021, Amazon installed AI-powered cameras in the delivery vans at one of its depots in Los Angeles. Derek, a delivery driver at the facility, said the camera in his van started to incorrectly penalize him whenever cars cut him off, an everyday occurrence in Los Angeles traffic.
“Maintain safe distance,” the camera installed above his seat would say when a car cut him off. That data would be sent to Amazon, and would be used to evaluate his performance that week and determine whether he got a bonus. Read More
DeepMind tells Google it has no idea how to make AI less toxic
To be fair, neither does any other lab
Opening the black box. Reducing the massive power consumption it takes to train deep learning models. Unlocking the secret to sentience. These are among the loftiest outstanding problems in artificial intelligence. Whoever has the talent and budget to solve them will be handsomely rewarded with gobs and gobs of money.
But there’s an even greater challenge stymieing the machine learning community, and it’s starting to make the world’s smartest developers look a bit silly. We can’t get the machines to stop being racist, xenophobic, bigoted, and misogynistic. Read More
Read the Paper
Student ActivityMonitoring Software
The past few years have seen widespread adoption of software that monitors students in K-12 schools across the country. These tools provide teachers and schools with the ability to filter web content, monitor students’ search engine queries and browsing history, view students’ email, messaging, and social media content, view the contents of their screens in real time, and other monitoring functionality. Fueled in part by pandemic-era remote learning needs, schools have adopted this technology with the aim of measuring and improving student engagement and keeping students safe online.
Yet, despite their popularity, these tools raise critical red flags for student equity and privacy protection. Read More
AI can write code like humans-mistakes and all
Some software developers Now let artificial intelligence Help write their code. They found that artificial intelligence is as flawed as humans.
Last June, GitHub, Subsidiary Microsoft Provide tools for hosting and collaborative code, Released A beta version of a program that uses AI to assist programmers.Start typing commands, database queries or requests to API, and then call the program Co-pilot, Will guess your intentions and write the rest.
Alex NakaA data scientist at a biotechnology company, he signed up for the Copilot test. He said that the program was very helpful and changed the way he works. “It allows me to spend less time jumping to the browser to find API documentation or examples on Stack Overflow,” he said. “It feels a bit like my job has changed from a code generator to a code discriminator.” Read More
Physics-based Machine Learning
Welcome to the Physics-based Deep Learning Book (v0.1)
This document contains a practical and comprehensive introduction of everything related to deep learning in the context of physical simulations. As much as possible, all topics come with hands-on code examples in the form of Jupyter notebooks to quickly get started. Beyond standard supervised learning from data, we’ll look at physical loss constraints, more tightly coupled learning algorithms with differentiable simulations, as well as reinforcement learning and uncertainty modeling. We live in exciting times: these methods have a huge potential to fundamentally change what computer simulations can achieve. Read More
The Scientist and the A.I.-Assisted, Remote-Control Killing Machine
Israeli agents had wanted to kill Iran’s top nuclear scientist for years. Then they came up with a way to do it with no operatives present. …This time there really was a killer robot: a high-tech, computerized sharpshooter kitted out with artificial intelligence and multiple-camera eyes, operated via satellite and capable of firing 600 rounds a minute. The straight-out-of-science-fiction story of what really happened that afternoon and the events leading up to it. Read More
#robotics
Rick's Cafe AI 