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Using electricity, scientists find promising new method of boosting chemical reactions

Electricity could be used to enhance a specific chemical reaction in the synthesis of prospective medicinal drugs.


As the world moves away from gas towards electricity as a greener power source, the to-do list goes beyond cars. The vast global manufacturing network that makes everything from our batteries to our fertilizers needs to flip the switch, too.

A study from UChicago chemists found a way to use electricity to boost a type of chemical reaction often used in synthesizing new candidates for pharmaceutical drugs.

Published Jan. 2 in Nature Catalysis, the research is an advance in the field of electrochemistry and shows a path forward to designing and controlling reactions—and making them more sustainable.

A new robot constitution that won’t kill humans by Google

Google introduces AutoRT, SARA-RT, and RT-Trajectory.


Imagine having a personal helper robot that can tidy up your home or cook a tasty meal with just a simple request. Sounds futuristic, right? But for robots to understand and tackle these everyday tasks, they need a deep understanding of the world around them.

Google’s recent announcement brings us closer to this futuristic reality. They’ve unveiled a trio of advancements—AutoRT, SARA-RT, and RT-Trajectory—that push the boundaries of robotics research. These breakthroughs aim to help robots make faster decisions, comprehend their surroundings better, and move around more efficiently.

Code archaeologist online unearths the origins of MS-DOS

Explore the digital archaeology of computing’s past with the unearthing of 86-DOS version 0.1-C, the oldest ancestor of MS-DOS

A code archaeologist has unearthed a treasure trove for tech historians: the oldest-known ancestor of Microsoft’s iconic MS-DOS.


Discover the hidden gems of computing history as a code enthusiast shares the earliest-known iteration of 86-DOS online from an archive.

Technique could efficiently solve partial differential equations for numerous applications

In fields such as physics and engineering, partial differential equations (PDEs) are used to model complex physical processes to generate insight into how some of the most complicated physical and natural systems in the world function.

To solve these difficult equations, researchers use high-fidelity numerical solvers, which can be very time consuming and computationally expensive to run. The current simplified alternative, data-driven surrogate models, compute the goal property of a solution to PDEs rather than the whole solution. Those are trained on a set of data that has been generated by the high-fidelity solver, to predict the output of the PDEs for new inputs. This is data-intensive and expensive because complex physical systems require a large number of simulations to generate enough data.

In a new paper, “Physics-enhanced deep surrogates for ,” published in December in Nature Machine Intelligence, a new method is proposed for developing data-driven surrogate models for complex physical systems in such fields as mechanics, optics, thermal transport, fluid dynamics, , and .

Scientists engineer smart bacteria that live in your skin to treat acne

Cutting-edge research engineers skin bacteria to treat acne, presenting a novel therapeutic approach for skin conditions.


In a study led by the Translational Synthetic Biology Laboratory Department of Medicine and Life Sciences (MELIS) at Pompeu Fabra University, an international research team has successfully engineered Cutibacterium acnes, a type of skin bacterium, to secrete a therapeutic molecule to treat acne symptoms. This innovative approach holds promise for addressing skin alterations and other diseases using living therapeutics.

Engineering smart skin bacteria

The study reveals that the researchers have edited the genome of Cutibacterium acnes to produce the NGAL protein, a mediator of the acne drug isotretinoin. This protein has been proven to reduce sebum production by inducing the death of sebocytes, the skin cells responsible for sebum secretion.

Google-backed MathGPT sets record, beats ChatGPT and Microsoft AI models

Mathpresso, the creator of QANDA — Asia’s most extensive AI-driven learning platform — has announced that their large language model called MathGPT has achieved a new world record in math, beating OpenAI and Microsoft models.

MathGPT reportedly is now ranked no. 1 in benchmarks that evaluate mathematical ability such as ‘MATH’ (12,500 difficult math problems) and ‘GSM8K’ (8,500 elementary school math problems), beating Microsoft’s ‘ToRA 13B’, the model that held the previous record.

In the MATH benchmark, MathGPT surpassed the performance of OpenAI’s GPT-4.