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Category: robotics/AI – Page 113

Imagine sitting down with an AI model for a spoken two-hour interview. A friendly voice guides you through a conversation that ranges from your childhood, your formative memories, and your career to your thoughts on immigration policy. Not long after, a virtual replica of you is able to embody your values and preferences with stunning accuracy.

That’s now possible, according to a new paper from a team including researchers from Stanford and Google DeepMind, which has been published on arXiv and has not yet been peer-reviewed.

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As we move into 2025, mental health continues to be a vital aspect of overall well-being in an increasingly fast-paced and complex world.

- CBT-based exercises that help users manage anxiety, depression, and emotional stress.

- Daily check-ins with an AI chatbot to track moods and thoughts, enabling users to gain insights into their emotional health.

- Progress tracking to help users monitor improvements and identify recurring mental health challenges.

Continue reading “Top 5 AI Therapists in 2025” | >

For my presentation at the 7th Eurosymposium on Healthy Aging in Brussels tomorrow, I’ve significantly updated my slides “Solving Aging: Is AI all we need?” — It’s still possible to register and attend remotely today and/or tomorrow.

:The Eurosymposium on Healthy Ageing (EHA) is a unique biennial meeting of scientists working on the biology of ageing.

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Coming out of stealth, cybersecurity startup Twine announced today $12 million in seed funding, co-led by Ten Eleven Ventures and Dell Technologies Capital, with participation from angel investors including the founders of Wiz. Twine plans to address cybersecurity’s critical talent shortage by developing AI agents or “digital employees” to augment companies’ security teams. Alex, Twine’s first digital employee, is an expert in identity and access management or IAM.

Alex is deployed as a SaaS platform, connecting to different systems within the customer’s environment. “The user interacts with the Alex interface in order to ask him questions or assign tasks,” explains Benny Porat, Twine’s co-founder and CEO. “For any task assigned, Alex creates a plan, seeks approval, provides full visibility, and proceeds with an A-to-Z execution of the plan.”

In a report published a few months ago, the World Economic Forum warned that the “cybersecurity industry faces a critical global shortage of nearly 4 million professionals.” This at a time when the rapid adoption of cloud computing, remote work and new AI solutions has significantly increased the number of cyber attacks.

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An international team of astronomers has reported the detection of a new super-Jupiter exoplanet as part of the Next Generation Transit Survey (NGTS). The newfound alien world, located some 1,430 light years away, is nearly four times as massive as Jupiter and is estimated to be only millions of years old. The discovery was detailed in a paper published November 13 on the pre-print server arXiv.

NGTS is a wide-field photometric survey focused mainly on the search for Neptune-sized and smaller exoplanets transiting bright stars. The project uses an array of small, fully robotic telescopes at the Paranal Observatory in Chile, operating at red-optical wavelengths. It uses the transit photometry method to find new exoworlds, which precisely measures the dimming of a star to detect the presence of a planet crossing in front of it.

Now, a group of astronomers led by Douglas R. Alves has found another extrasolar world with NGTS photometry. The new planet was identified around NGTS-33—a fast-rotating massive hot star.

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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.

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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.

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