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Photon qubits challenge AI, enabling more accurate quantum computing without error-correction techniques

In an era where AI and data are driving the scientific revolution, quantum computing technology is emerging as another game-changer in the development of new drugs and new materials.

Dr. Hyang-Tag Lim’s research team at the Center for Quantum Technology at the Korea Institute of Science and Technology (KIST) has implemented a quantum computing algorithm that can estimate interatomic bond distances and ground state energies with chemical accuracy using fewer resources than conventional methods, and has succeeded in performing accurate calculations without the need for additional quantum error mitigation techniques.

The work is published in the journal Science Advances.

New language encodes shape and structure to help machine learning models predict nanopore properties

A large number of 2D materials like graphene can have nanopores—small holes formed by missing atoms through which foreign substances can pass. The properties of these nanopores dictate many of the materials’ properties, enabling the latter to sense gases, filter out seawater, and even help in DNA sequencing.

“The problem is that these 2D materials have a wide distribution of nanopores, both in terms of shape and size,” says Ananth Govind Rajan, Assistant Professor at the Department of Chemical Engineering, Indian Institute of Science (IISc). “You don’t know what is going to form in the material, so it is very difficult to understand what the property of the resulting membrane will be.”

Machine learning models can be a powerful tool to analyze the structure of nanopores in order to uncover tantalizing new properties. But these models struggle to describe what a looks like.

Managing Japan’s Shrinking Labor Force With AI and Robots

Japan’s combination of artificial intelligence and robotics may be the answer to its rapidly shrinking labor force

Todd Schneider, Gee Hee Hong, and Anh Van Le

While automation will eliminate very few occupations entirely in the coming decades, it is likely to have an impact on portions of almost all jobs to some degree—depending on the type of work and the tasks involved. Set to move beyond routine and repetitive manufacturing activities, automation has the potential to appear in a much broader range of activities than seen until now, and to redefine human labor and work style in services and other sectors. In Japan, the rapid decline in the labor force and the limited influx of immigrants create a powerful incentive for automation, which makes the country a particularly useful laboratory for the study of the future landscape of work.

Meet Jennie: Super-realistic robotic puppy to help people with anxiety

This robotic Labrador puppy has been created in collaboration with the legendary Jim Henson’s Creature Shop.


A US-based company, Tombot, has unveiled Jennie – a realistic robotic puppy. This battery-powered Lab reacts to human touch, wags its tail, and even barks when you tell it to.

This robotic companion is designed to bring joy and comfort to those who need it most. Jennie has been designed to offer companionship to people battling dementia, stress, anxiety, Posttraumatic Stress Disorder (PTSD), and depression.

Jennie is equipped with various features, including real puppy sounds, software updates, interactive sensors, voice commands, a rechargeable battery, and can be controlled through a smartphone app.

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