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The tailoring of reticular materials is key for enhancing the complexity and diversity of their structure and function. Now, a series of isomeric pillar-layered metal–organic frameworks with tunable topologies have been prepared through altering the layer stacking, which enables variability on the backbone structure, pillar spatial arrangements and pore structure.

Neural network models that are able to make decisions or store memories have long captured scientists’ imaginations. In these models, a hallmark of the computation being performed by the network is the presence of stereotyped sequences of activity, akin to one-way paths. This idea was pioneered by John Hopfield, who was notably co-awarded the 2024 Nobel Prize in Physics. Whether one-way activity paths are used in the brain, however, has been unknown.

A collaborative team of researchers from Carnegie Mellon University and the University of Pittsburgh designed a clever experiment to perform a causal test of this question using a (BCI). Their findings provide empirical support of one-way activity paths in the brain and the computational principles long hypothesized by neural network models.

Stereotyped sequences of neural population activity, also known as , is believed to underlie numerous brain functions, including , sensory perception, decision making, timing, and memory, among others. The group focused on the brain’s motor system for their work, recently published in Nature Neuroscience, where neural population activity can be used to control a BCI.

In today’s AI news, OpenAI CEO Sam Altman is trying to calm the online hype surrounding his company. On Monday, the tech boss took to X to quell viral rumors that the company had achieved artificial general intelligence. “Twitter hype is out of control again,” he wrote. “We are not gonna deploy AGI next month, nor have we built it.”

In other advancements, Stuttgart, Germany-based Sereact has secured €25mn to advance its embodied AI software that enables robots to carry out tasks they were never trained to do. “With our technology, robots act situationally rather than following rigidly programmed sequences. They adapt to dynamic tasks in real-time, enabling an unprecedented level of autonomy,” said Ralf Gulde, CEO of Sereact (short for “sense, reason, act”).

Then, seven years and seven months ago, Google changed the world with the Transformer architecture, which lies at the heart of generative AI applications like OpenAI’s ChatGPT. Now Google has unveiled a new architecture called Titans, a direct evolution of the Transformer that takes us a step closer to AI that can think like humans.

And, the World Economic Forum Global Risks Report 2025 reveals a world teetering between technological triumph and profound risk. As a structural force, it “has the potential to blur boundaries between technology and humanity” and rapidly introduce novel, unpredictable challenges.

In videos, The next frontier of AI is physical AI. NVIDIA Cosmos—a platform of state-of-the-art generative world foundation models, advanced tokenizers, guardrails, and an accelerated data processing and curation pipeline—accelerates the development of physical-AI-embodied systems such as robots and autonomous vehicles.

The Big Dipper is an asterism formed by seven bright stars in the constellation Ursa Major, the Great Bear. It is one of the most recognizable star patterns in the night sky. The asterism is well-known in many cultures and goes by many other names, including the Plough, the Great Wagon, Saptarishi, and the Saucepan.

The seven stars that form the Big Dipper are: Alkaid (Eta Ursae Majoris), Mizar (Zeta Ursae Majoris), Alioth (Epsilon Ursae Majoris), Megrez (Delta Ursae Majoris), Phecda (Gamma Ursae Majoris), Dubhe (Alpha Ursae Majoris), and Merak (Beta Ursae Majoris).

In northern latitudes, the Big Dipper is visible throughout the year. It is one of the first star patterns we learn to identify, along with Orion’s Belt, Cassiopeia’s W, and the Northern Cross in Cygnus.

Researchers at Texas Biomed have identified nine mutations in a strain of bird flu found in a person in Texas. Bad news: This strain shows an increased ability to cause disease and is more effective at replicating in the brain. Good news: Current approved antiviral treatments remain effective against this strain.

Researchers at the Texas Biomedical Research Institute (Texas Biomed) have identified a strain of bird flu isolated from a human in Texas that carries a distinctive set of mutations, making it more adept at replicating in human cells and causing severe disease in mice. This strain was compared to one found in dairy cattle, and the findings are detailed in Emerging Microbes & Infections.

The discovery underscores a significant concern about the H5N1 strains of bird flu currently circulating in the U.S.: the virus.