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Media & ArtsEvidence-backed problem

Synthetic Sincerity review – Marc Isaacs’ AI interrogation grapples with identity and existence

Marc Isaacs’ new film is a curious, intriguing, semi-sincere affair that I couldn’t make friends with. It is an odd, shallow piece of work about artificial intelligence that is itself exasperatingly artificial, a self-aware docudrama hybrid. Isaacs is, or rather pretends to be, licensing the vivid characters from his previous, acclaimed documentaries to a fictional AI research lab called Synthetic Sincerity at the fictional University of Southern England, so that the lab’s software can be “trained” in the creati…

The Guardian

Evidence-backed gain

The effects of AI-based visual instruction on the reading comprehension of students with dyslexia in Saudi Arabia: a single-case experimental study

Evidence-backed gain

Urinary Metabolic Age from High-Resolution NMR Reveals Longitudinal Aging Patterns

Both readings

Beyond bias: using AI to reduce diagnostic noise and manage novelty in clinical reasoning

Evidence-backed gain

6 Best AI Music Generation Tools For Musicians In India In 2026

AI music tools are making song creation faster and cheaper for Indian creators. Platforms like Suno, Udio, ElevenLabs Music, Beatoven.ai, Google Gemini with Lyria 3 and Weights.gg offer features ranging from full song generation and voice cloning to background scores and AI covers, catering to musicians, YouTubers and indie creators.

Both readings

The rapid rise of housefishing: are AI-enhanced property listings helpful – or sinister?

It is twilight on a desirable street in Chiswick, or it could be Hampstead, Wilmslow or Hove. A spectacular sunset has left a vivid stripe of orange fading into a violet sky. Against this saturated backdrop, a large Victorian house is clearly outlined despite the darkening atmosphere, perhaps thanks to the lights blazing from every single room. The effect is dazzling, in an unhinged, halfway-through-an-exorcism way. It is also quite obviously fake: a digital trick previously achieved with software such as Photos…

Both readings

Is the most popular song played on Australian radio stations the product of generative AI?

An Australian producer has gone from little-known artist to viral sensation in a matter of months, with his hit song catapulting on to global charts and receiving thousands of radio spins. There’s just one problem: music experts and other musicians are questioning whether he produced it. They claim Josh Fawaz’s most popular song, a cover of Madonna’s Like a Prayer which reached the No 1 spot on the National Radio Airplay chart, could have been made using AI. While producers often use software including Ableton L…

Evidence-backed problem

‘It’s a scam’: Americans express unease over SpaceX’s influence on retirement savings

Elon Musk became the world’s first trillionaire last week after SpaceX debuted on the stock market with a valuation of $1.77tn. Millions of Americans could soon become indirect investors in SpaceX and other emerging AI-focused companies as US markets increasingly shift toward AI-driven investments. Many Americans’ retirement savings are heavily tied to the US stock market through private 401(k) retirement savings plans. Those plans are heavily invested in index funds that track the major stock market indices. So…

Health

Google DeepMind launches AI tool to help identify genetic drivers of disease

Researchers at Google DeepMind have unveiled their latest artificial intelligence tool and claimed it will help scientists identify the genetic drivers of disease and ultimately pave the way for new treatments. AlphaGenome predicts how mutations interfere with the way genes are controlled, changing when they are switched on, in which cells of the body, and whether their biological volume controls are set to high or low. Most common diseases that run in families, including heart disease and autoimmune disorders,…

Science

Federated Machine Learning

Today’s artificial intelligence still faces two major challenges. One is that, in most industries, data exists in the form of isolated islands. The other is the strengthening of data privacy and security. We propose a possible solution to these challenges: secure federated learning. Beyond the federated-learning framework first proposed by Google in 2016, we introduce a comprehensive secure federated-learning framework, which includes horizontal federated learning, vertical federated learning, and federated tran…

Science

Accurate prediction of protein structures and interactions using a three-track neural network

Deep learning takes on protein folding In 1972, Anfinsen won a Nobel prize for demonstrating a connection between a protein’s amino acid sequence and its three-dimensional structure. Since 1994, scientists have competed in the biannual Critical Assessment of Structure Prediction (CASP) protein-folding challenge. Deep learning methods took center stage at CASP14, with DeepMind’s Alphafold2 achieving remarkable accuracy. Baek et al . explored network architectures based on the DeepMind framework. They used a three…

Science

Overcoming catastrophic forgetting in neural networks

Significance Deep neural networks are currently the most successful machine-learning technique for solving a variety of tasks, including language translation, image classification, and image generation. One weakness of such models is that, unlike humans, they are unable to learn multiple tasks sequentially. In this work we propose a practical solution to train such models sequentially by protecting the weights important for previous tasks. This approach, inspired by synaptic consolidation in neuroscience, enable…

Science

Deep learning

Deep learning allows computational models that are composed of multiple processing layers to learn representations of data with multiple levels of abstraction. These methods have dramatically improved the state-of-the-art in speech recognition, visual object recognition, object detection and many other domains such as drug discovery and genomics. Deep learning discovers intricate structure in large data sets by using the backpropagation algorithm to indicate how a machine should change its internal parameters th…

Health

Random Forest

For the task of analyzing survival data to derive risk factors associated with mortality, physicians, researchers, and biostatisticians have typically relied on certain types of regression techniques, most notably the Cox model. With the advent of more widely distributed computing power, methods which require more complex mathematics have become increasingly common. Particularly in this era of "big data" and machine learning, survival analysis has become methodologically broader. This paper aims to explore one t…

Science

Artificial intelligence: A powerful paradigm for scientific research

Artificial intelligence (AI) coupled with promising machine learning (ML) techniques well known from computer science is broadly affecting many aspects of various fields including science and technology, industry, and even our day-to-day life. The ML techniques have been developed to analyze high-throughput data with a view to obtaining useful insights, categorizing, predicting, and making evidence-based decisions in novel ways, which will promote the growth of novel applications and fuel the sustainable booming…