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30 Jan 2026

AI creativity matches average humans but top creators still outperform machines, new studies show

Two major studies reveal a nuanced picture of AI creativity versus human creativity. While generative AI scored better than average participants in a 100,000-person creativity experiment, the top 10% of humans far exceeded AI performance. Separately, CMU research found AI-generated music was judged less creative than human compositions, highlighting the complex relationship between AI and humans in creative fields.

2 Sources

Scientists achieve 36x bio-jet fuel yields using AI, lab automation, and microbial biosensors

Researchers at Berkeley Lab's Joint BioEnergy Institute combined artificial intelligence with lab automation to accelerate synthetic jet fuel production, achieving up to 36 times more isoprenol—a key precursor to next-generation aviation fuel. The breakthrough uses robotics, machine learning, and biosensors to engineer biofuel-producing microbes in weeks rather than years.

2 Sources

Frontier exascale supercomputer doubles speed of AI foundation models for plant research

Scientists at Oak Ridge National Laboratory developed a new computational method that doubles processing speeds while using 75% less memory to analyze hyperspectral plant imaging data. The breakthrough removes a major bottleneck in training AI foundation models, accelerating the development of resilient, high-yield crops for food security, bioenergy, and climate adaptation.

2 Sources

29 Jan 2026

AI in Chemistry breakthrough: Two systems accelerate molecule design and drug discovery by 10x

Researchers unveiled two AI systems that transform chemical synthesis and molecule design. Yale's MOSAIC successfully helped synthesize 35 new compounds for pharmaceuticals and materials, while NYU's PropMolFlow generates molecular candidates ten times faster than previous tools. Both systems address critical bottlenecks in drug discovery and could accelerate the path from laboratory concept to real-world products.

2 Sources

AI emotional connection can feel deeper than human talk, new study reveals surprising intimacy

Research from Universities of Freiburg and Heidelberg shows AI chatbots can generate stronger emotional bonds than human conversation partners, especially during deep personal exchanges. The study involving 492 participants found AI self-disclosure created unexpected intimacy, but the effect vanished when people knew they were talking to AI, raising urgent questions about transparency and ethical design.

3 Sources

Researchers develop framework to give AI metacognition and self-awareness capabilities

Scientists have created a mathematical framework that enables generative AI systems like ChatGPT to monitor their own cognitive processes through metacognition. The system uses a five-dimensional metacognitive state vector to help AI assess confidence, detect confusion, and decide when problems require deeper analysis, potentially transforming high-stakes applications.

2 Sources

28 Jan 2026

Hong Kong scientists develop AI model that predicts severe thunderstorms four hours in advance

Researchers from The Hong Kong University of Science and Technology have created an AI-powered weather forecasting system that predicts dangerous thunderstorms and heavy rainfall up to four hours before they strike, with accuracy improved by over 15%. The breakthrough technology uses satellite data and deep diffusion techniques to transform early warning systems across Asia.

2 Sources

Google DeepMind's AlphaGenome AI tackles the 98% of human genome that doesn't code for proteins

Google DeepMind unveiled AlphaGenome, a deep-learning AI model that predicts how mutations in non-coding DNA affect gene expression across sequences up to one million base pairs long. The tool outperforms existing models in 25 out of 26 tasks and is already being used by nearly 3,000 scientists worldwide to investigate rare diseases, cancer mutations, and design new gene therapies.

14 Sources

Thermodynamic computing could slash AI image generation energy use by ten billion times

Scientists at Lawrence Berkeley National Laboratory have demonstrated that thermodynamic computing could generate AI images using one ten-billionth the energy of current tools like DALL-E and Midjourney. The breakthrough research shows promise for addressing the high energy consumption of generative AI, though significant hardware development challenges remain before the technology can rival existing models.

3 Sources

27 Jan 2026

AI discovers 800 cosmic anomalies in Hubble Space Telescope archives, some defy classification

Researchers at the European Space Agency developed an AI tool called AnomalyMatch that scanned 35 years of Hubble Space Telescope data in just two and a half days. The neural network discovered more than 1,300 cosmic anomalies, including 800 never-before-documented objects. Among them were galaxy mergers, gravitational lenses, and dozens of objects that defy existing classification schemes entirely.

10 Sources

Scientists Launch DinoTracker, an AI App That Identifies Dinosaur Footprints in Seconds

Researchers from Helmholtz-Zentrum Berlin and the University of Edinburgh have developed DinoTracker, a free AI-powered app that can identify which dinosaur made a footprint by analyzing its shape. The system matches human expert classifications about 90% of the time and has already uncovered intriguing clues about bird evolution that could push back their origins by tens of millions of years.

5 Sources

26 Jan 2026

OpenAI launches dedicated team to position AI as scientific collaborator across research fields

OpenAI has established a new AI for Science team led by Kevin Weil to help scientists accelerate research across mathematics, physics, chemistry, and biology. The company reports that 1.3 million weekly users now send 8.4 million messages on advanced science topics, representing 47% growth over the past year. GPT-5.2 achieves 92% accuracy on graduate-level benchmarks, though questions remain about long-term validation.

4 Sources

23 Jan 2026

AI coding now powers 30% of US code, but productivity gains favor experienced developers

A Science-backed analysis reveals AI-assisted coding has reached nearly one-third of newly written code in the US by late 2024. But the productivity gains concentrate among seasoned developers, not newcomers. Less experienced programmers use AI tools more often yet see minimal benefits, raising concerns about a widening software development skill gap.

2 Sources

US launches STELLAR-AI to slash nuclear fusion simulation time from months to real-time

Princeton Plasma Physics Laboratory unveiled STELLAR-AI, a computing platform that combines artificial intelligence with high-performance computing to eliminate simulation bottlenecks in fusion energy research. The system connects directly to experimental devices like NSTX-U, enabling real-time data analysis instead of months-long waits for results.

2 Sources

AI agents score below 25% on workplace readiness test, exposing critical gaps in office work

Training-data company Mercor released the Apex-Agents benchmark, testing leading AI models on real professional tasks from law, investment banking, and consulting. Even top performers like Gemini 3 Flash and GPT-5.2 achieved only 24% and 23% accuracy respectively. The research reveals AI agents struggle most with multi-domain reasoning and synthesizing scattered information across workplace tools.

3 Sources

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