In the News
Google says new AI model Gemini outperforms ChatGPT in most tests
Google has unveiled a new artificial intelligence model that it claims outperforms ChatGPT in most tests and displays “advanced reasoning” across multiple formats, including an ability to view and mark a student’s physics homework.
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In The News
How AI ‘sees’ the world – what happened when we trained a deep learning model to identify poverty
Our team has used a type of AI known as a deep convolutional neural network (DCNN) to study satellite imagery and identify some types of poverty with a level of accuracy close to that of household surveys. Our findings revealed that the DCNN, enhanced by this specialised training, could surpass...
Who will win the battle for AI in the cloud?
Accc. to run Chandrasekaran, distinguished vice president analyst at Gartner Inc., Microsoft has the early-mover advantage because of its investment in OpenAI and is bringing a lot of OpenAI models into the Azure cloud.
Understanding Cisco’s Generative Artificial Intelligence Strategy
Over the past decade, Cisco tapped into the power of AI to improve threat detection, provide better customer support, and collect richer insights. It signifies a leap towards more creative, efficient, and flexible AI applications, reshaping customer experiences and operational...
Applied use cases
Creating artistic collages using reinforcement learning
"Collage art requires high human artistry, and we wondered what collage artworks created by AI would look like," the authors told Tech Xplore by email, "Existing AI image generation tools like DALL-E or StableDiffusion can already generate collage images, but they are just 'collage-imitations' from...
Millions of new materials discovered with deep learning
AI tool GNoME finds 2.2 million new crystals, including 380,000 stable materials that could power future technologies Modern technologies from computer chips and batteries to solar panels rely on inorganic crystals.
Seeing 3D images through the eyes of AI
This issue is resolved by Professor Zhang's paper, "RIConv++: Effective Rotation Invariant Convolutions for 3D Point Clouds."
Ethics
AI Needs Spiritual Intelligence - Opinion
With the rapid acceleration in artificial intelligence development, there is increasing discussion about the role of faith, religion, and ethics in technology.
Good AI, bad AI: Decoding responsible artificial intelligence
Enter 'responsible AI' Liming Zhu and Qinghua Lu are leaders in the study of responsible AI at CSIRO, and co-authors of the book "Responsible AI: Best practices for creating trustworthy AI systems."
Testing Artificial Intelligence Regulation
Our recent study15 sheds the first light on whether transparency mitigates the ethical risks of people following unethical AI advice.
Robotics
Petrobras Splashes $4MM On Autonomous Visual Inspection Robots
In an effort to automate routine inspection activities and improve asset monitoring capabilities, Petroleo Brasileiro S.A. (Petrobras) has invested in six robots from ANYbotics.
An artist taught 3 'Black Mirror'-style robot dogs to paint
William West/Getty Images Redeem now Three robots dogs are starting a four-month artist residency in Australia, The Guardian reported.
Octopus-inspired sensorized soft arm for environmental interaction
Through a wearable finger glove that produces suction sensations, a human can use just one finger to remotely and interactively control the robot’s in-plane and out-of-plane reaching and grasping both in air and underwater.
Research
Back to Basics Week 4: Advanced Topics and Deployment
If you haven’t already, have a look at: Week 1: Python Programming & Data Science Foundations Week 2: Database, SQL, Data Management and Statistical Concepts Week 3: Back to Basics Week 3: Introduction to Machine Learning Moving onto the third week, we will dive into advanced topics and...
About That Mysterious AI Breakthrough Known As Q* By OpenAI That Allegedly Attains True AI Or Is On The Path Toward Artificial General Intelligence (AGI)
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Deep pathomics: A new image-based tool for predicting response to treatment in stage III non-small cell lung cancer
Indeed, this paradigm has been applied in various oncological-related tasks to improve clinical patient outcomes, e.g., to optimize the radiation therapy fractionation plan using the Deep Reinforcement Learning paradigm [8], to detect the lung cancer tumor mass in CT scan modalities using a...