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A new AI model from Tokyo called the Continuous Thought Machine mimics how the human brain works by thinking in real-time “ticks” instead of layers. Built by Sakana, this brain-inspired AI allows each neuron to decide when it’s done thinking, showing signs of what experts call proximate consciousness. With no fixed depth and a flexible thinking process, it marks a major shift away from traditional Transformer models in artificial intelligence.

🔍 What’s Inside:
Sakana’s brain-like AI thinks in real-time ticks instead of fixed layers.
https://shorturl.at/UPSTt.
Deep Agent’s new MCP connects AI to over 5,000 real-world tools via Zapier.
http://deepagent.abacus.ai.
also visit: http://chatllm.abacus.ai.
Alibaba’s ZEROSEARCH fakes Google results and slashes training costs by 88%
https://www.alizila.com/alibabas-new–… phones run Google’s new Veo 2 model before Pixel even gets access https://shorturl.at/Ki0YP Tencent drops a deepfake engine with shocking face accuracy https://github.com/Tencent/HunyuanCustom Apple uses on-device AI in iOS 19 to predict and extend battery life https://www.theverge.com/news/665249/.… Saudi Arabia launches a \$940B AI empire with support from Musk and Altman https://techcrunch.com/2025/05/12/sau… 🎥 What You’ll See:

  • How Sakana’s AI mimics human neurons and rewrites how machines process thought
  • Why Abacus’ Deep Agent now acts like a fully autonomous digital worker
  • How Alibaba trains top AI models without using live search engines
  • Why Google let Honor debut its video AI before its own users
  • What Tencent’s face-swapping tech means for the future of video generation
  • How iPhones will soon think ahead to save power
  • Why Saudi Arabia’s GPU superpower plan could shake the entire AI industry

📊 Why It Matters: AI is breaking out of the lab—thinking like brains, automating your work, and reshaping global power. From self-regulating neurons to trillion-dollar GPU wars, this is where the future starts. #ai #robotics #consciousai.
Honor phones run Google’s new Veo 2 model before Pixel even gets access.
https://shorturl.at/Ki0YP
Tencent drops a deepfake engine with shocking face accuracy.
https://github.com/Tencent/HunyuanCustom.
Apple uses on-device AI in iOS 19 to predict and extend battery life.
https://www.theverge.com/news/665249/.…
Saudi Arabia launches a \$940B AI empire with support from Musk and Altman.
https://techcrunch.com/2025/05/12/sau…

🎥 What You’ll See:
How Sakana’s AI mimics human neurons and rewrites how machines process thought.
Why Abacus’ Deep Agent now acts like a fully autonomous digital worker.
How Alibaba trains top AI models without using live search engines.
Why Google let Honor debut its video AI before its own users.
What Tencent’s face-swapping tech means for the future of video generation.
How iPhones will soon think ahead to save power.
Why Saudi Arabia’s GPU superpower plan could shake the entire AI industry.

📊 Why It Matters:
AI is breaking out of the lab—thinking like brains, automating your work, and reshaping global power. From self-regulating neurons to trillion-dollar GPU wars, this is where the future starts.

#ai #robotics #consciousai

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Just 10 to 15 minutes of mindfulness practice a day led to reduced stress and anxiety for autistic adults who participated in a study led by scientists at MIT’s McGovern Institute for Brain Research. Participants in the study used a free smartphone app to guide their practice, giving them the flexibility to practice when and where they chose.

Mindfulness is a state in which the mind is focused only on the . It is a way of thinking that can be cultivated with practice, often through meditation or breathing exercises—and evidence is accumulating that practicing mindfulness has positive effects on mental health. The open-access study, reported April 8 in the journal Mindfulness, adds to that evidence, demonstrating clear benefits for .

“Everything you want from this on behalf of somebody you care about happened: reduced reports of anxiety, reduced reports of stress, reduced reports of negative emotions, and increased reports of positive emotions,” says McGovern investigator and MIT Professor John Gabrieli, who led the research with Liron Rozenkrantz, an investigator at the Azrieli Faculty of Medicine at Bar-Ilan University in Israel and a research affiliate in Gabrieli’s lab.

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AI is a computing tool. It can process and interrogate huge amounts of data, expand human creativity, generate new insights faster and help guide important decisions. It’s trained on human expertise, and in conservation that’s informed by interactions with local communities or governments—people whose needs must be taken into account in the solutions. How do we ensure this happens?

Last year, Reynolds joined 26 other conservation scientists and AI experts in an “Horizon Scan”—an approach pioneered by Professor Bill Sutherland in the Department of Zoology—to think about the ways AI could revolutionize the success of global biodiversity conservation. The international panel agreed on the top 21 ideas, chosen from a longlist of 104, which are published in the journal Trends in Ecology and Evolution.

Some of the ideas extrapolate from AI tools many of us are familiar with, like phone apps that identify plants from photos, or birds from sound recordings. Being able to identify all the species in an ecosystem in real time, over long timescales, would enable a huge advance in understanding ecosystems and species distributions.

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In a new Nature Communications study, researchers have developed an in-memory ferroelectric differentiator capable of performing calculations directly in the memory without requiring a separate processor.

The proposed differentiator promises energy efficiency, especially for edge devices like smartphones, autonomous vehicles, and security cameras.

Traditional approaches to tasks like image processing and motion detection involve multi-step energy-intensive processes. This begins with recording data, which is transmitted to a memory unit, which further transmits the data to a microcontroller unit to perform differential operations.

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Tuochao Chen, a University of Washington doctoral student, recently toured a museum in Mexico. Chen doesn’t speak Spanish, so he ran a translation app on his phone and pointed the microphone at the tour guide. But even in a museum’s relative quiet, the surrounding noise was too much. The resulting text was useless.

Various technologies have emerged lately promising fluent translation, but none of these solved Chen’s problem of . Meta’s new glasses, for instance, function only with an isolated speaker; they play an automated voice translation after the speaker finishes.

Now, Chen and a team of UW researchers have designed a headphone system that translates several speakers at once, while preserving the direction and qualities of people’s voices. The team built the system, called Spatial Speech Translation, with off-the-shelf noise-canceling headphones fitted with microphones. The team’s algorithms separate out the different speakers in a space and follow them as they move, translate their speech and play it back with a 2–4 second delay.

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The rules about magnetic order may need to be rewritten. Researchers have discovered that chromium selenide (Cr₂Se₃) — traditionally non-magnetic in bulk form — transforms into a magnetic material when reduced to atomically thin layers. This finding contradicts previous theoretical predictions, and opens new possibilities for spintronics applications. This could lead to faster, smaller, and more efficient electronic components for smartphones, data storage, and other essential technologies.

An international research team from Tohoku University, Université de Lorraine (Synchrotron SOLEIL), the National Synchrotron Radiation Research Center (NSRRC), High Energy Accelerator Research Organization, and National Institutes for Quantum Science and Technology successfully grew two-dimensional Cr₂Se₃ thin films on graphene using molecular beam epitaxy. By systematically reducing the thickness from three layers to one layer and analyzing them with high-brightness synchrotron X-rays, the team made a surprising discovery. This finding challenges conventional theoretical predictions that two-dimensional materials cannot maintain magnetic order.

“When we first observed the ferromagnetic behavior in these ultra-thin films, we were genuinely shocked,” explains Professor Takafumi Sato (WPI-AIMR, Tohoku University), the lead researcher. “Conventional theory told us this shouldn’t happen. What’s even more fascinating is that the thinner we made the films, the stronger the magnetic properties became—completely contrary to what we expected.”

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A research team led by Professor Yong-Young Noh and Dr. Youjin Reo from the Department of Chemical Engineering at POSTECH (Pohang University of Science and Technology) has developed a technology poised to transform next-generation displays and electronic devices.

The project was a collaborative effort with Professors Ao Liu and Huihui Zhu from the University of Electronic Science and Technology of China (UESTC), and the findings were published in Nature Electronics.

Every time we stream videos or play games on our smartphones, thousands of transistors operate tirelessly behind the scenes. These microscopic components function like , regulating electric currents to display images and ensure smooth app operation.

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