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Using complex networks to tame combustion instability

Engineers have long battled a problem that can cause loud, damaging oscillations inside gas turbines and aircraft engines: combustion instability. These unwanted pressure fluctuations create vibrations so intense that they can cause fatal structural damage to combustor walls, posing a serious threat in many applications. Combustion instability occurs when acoustic waves, heat release, and flow patterns interact in a strong feedback loop, amplifying each other until the entire system becomes unstable.

The complex interaction has made it difficult to predict when and where dangerous oscillations will emerge. This challenge has motivated researchers to seek new analytical frameworks that can capture the key driving regions of combustion instability.

Now, a research team led by Professors Hiroshi Gotoda from Tokyo University of Science and Ryoichi Kurose from Kyoto University, Japan, has developed an innovative approach using network science to understand and suppress combustion instability. Their paper, published in the journal Physical Review Applied on July 1, 2025, applies complex network analysis to spray combustion instability in a backward-facing step combustor.

OpenClaw Bug Enables One-Click Remote Code Execution via Malicious Link

A high-severity security flaw has been disclosed in OpenClaw (formerly referred to as Clawdbot and Moltbot) that could allow remote code execution (RCE) through a crafted malicious link.

The issue, which is tracked as CVE-2026–25253 (CVSS score: 8.8), has been addressed in version 2026.1.29 released on January 30, 2026. It has been described as a token exfiltration vulnerability that leads to full gateway compromise.

“The Control UI trusts gatewayUrl from the query string without validation and auto-connects on load, sending the stored gateway token in the WebSocket connect payload,” OpenClaw’s creator and maintainer Peter Steinberger said in an advisory.

Vehique: Hi!

I’m Gemechu. I’m a software engineer and AI builder finishing my Master’s in CS at LMU Los Angeles this May.

I’m looking to join a team, full-time or internship!

For context, I have hands-on experience shipping AI-powered products to production. I recently built https://www.vehique.ai/, a conversational vehicle marketplace from scratch — designed the multi-agent architecture, built the full stack, and scaled it to over 3,000 monthly users. Prior to that I have a couple of research engineering experiences at seed-stage startups.

Have experience building end to end, whether that’s the AI layer, backend and infra, or full-stack product work.

Looking to join where I can create impactful products.

If you’re hiring or know someone who might be, please feel free to reach out.

🌿 All my projects and experience are on my portfolio — https://gemechu.xyz/

Continue reading “Vehique: Hi!” | >

New study reveals surprising side effects linked to driving electric vehicles: ‘It … has an immediate impact’

Next, the study’s authors will examine whether more ZEVs are associated with fewer asthma-related hospitalizations and emergency room visits.

Their work adds to the extensive research on whether EVs are better for the planet long-term than their gas-powered counterparts. Despite imperfections such as mining, the findings are clear on that front. The USC team is showing that when it comes to the air we breathe and public health, the benefits of EVs are undeniable.

“These findings show that cleaner air isn’t just a theory—it’s already happening in communities across California,” declared Sandrah Eckel, the study’s lead author.

The world’s longest underwater high-speed train is now in progress, set to link two continents beneath the sea

On a foggy morning off the coast of Finland, the sea looks perfectly ordinary. A few fishing boats, a cargo ship on the horizon, the low hum of engines and gulls complaining overhead. Yet under that flat grey surface, survey vessels are tracing invisible lines, mapping the seabed for something that sounds like science fiction: a high‑speed train that will dive under the Baltic and emerge on another continent.

On deck, an engineer in a neon jacket points to the radar screen like someone tracing the outline of a new city. He talks about boring through rock, laying tracks where only fish and submarines have passed. His words hang in the cold air.

Soon, a train will cross here faster than most people cross a city.

The $350 Million Gamble: Intel Seizes First-Mover Advantage in the High-NA EUV Era

As of January 2026, the global race for semiconductor supremacy has reached a fever pitch, centered on a massive, truck-sized machine that costs more than a fleet of private jets. ASML (NASDAQ: ASML) has officially transitioned its “High-NA” (High Numerical Aperture) Extreme Ultraviolet (EUV) lithography systems into high-volume manufacturing, marking the most significant shift in silicon fabrication in over a decade. While the industry grapples with the staggering $350 million to $400 million price tag per unit, Intel (NASDAQ: INTC) has emerged as the aggressive vanguard, betting its entire “IDM 2.0” turnaround strategy on being the first to operationalize these tools for the next generation of “Angstrom-class” processors.

The transition to High-NA EUV is not merely a technical upgrade; it is a fundamental reconfiguration of how the world’s most advanced AI chips are built. By enabling higher-resolution circuitry, these machines allow for the creation of transistors so small they are measured in Angstroms (tenths of a nanometer). For an industry currently hitting the physical limits of traditional EUV, this development is the “make or break” moment for the continuation of Moore’s Law and the sustained growth of generative AI compute.

Sloshing liquefied natural gas in cargo tanks causes higher impact forces than expected

What happens if liquefied natural gas (LNG) hits the wall of the cargo tanks in a ship? New research from the team of physicist Devaraj van der Meer from the University of Twente, published in the Proceedings of the National Academy of Sciences, shows that much higher pressure peaks can occur during impact than previously assumed. This insight is important for the design and safety of LNG ships and future liquid hydrogen transport systems.

Normally, a thin layer of air prevents a liquid from hitting a surface directly. The gas acts as a cushion and dampens the blow. In LNG ships, that air has been replaced by vapor from the LNG itself. And that vapor can condense back into liquid during impact. As a result, the cushion disappears, and the load on the wall increases sharply.

AI House Davos

Embodied AI refers to AI integrated into physical systems that can perceive, reason, and act in the real world through sensors and actuators, like robots and autonomous vehicles. This fireside conversation explores how advances in AI like vision–language–action models are redefining what machines can understand and do, especially as we move from navigation to mobile manipulation. The speakers discuss how quickly today’s rapid progress in AI might transfer to robotics and embodied systems, and how soon we can expect to see these technologies making a tangible impact on our daily lives.

Speakers.
Yann LeCun (Advanced Machine Intelligence, Founder and Executive Chairman)
Marc Pollefeys (ETH Zürich and Faculty, ETH AI Center, Professor)

© AI House Davos 2026
Founders & Strategic Partners:
ETH AI Center, Merantix, G42, Hewlett Packard Enterprise, EPFL AI Center, The University of Tokyo.

Presenting Partners:
KPMG.

AI in Charge: Large-Scale Experimental Evidence on Electric Vehicle Charging Demand

Asynchronous firing and off states in working memory maintenance.

Mozumder, Wang et al. use high-density recordings in macaque prefrontal and parietal cortex to show that working memory is sustained by asynchronous spiking activity without prolonged silent periods. Off states are characterized by relatively decreased information decoding and are synchronized between areas. The balance between asynchronous firing and off states determines memory maintenance.

Silicon Is Coming to Smartphone Batteries for a Big Energy Boost

A novel lithium-ion battery that uses silicon in its anodes may have the highest energy density of any battery currently commercially available. Its manufacturer, Enovix, says it has shipped the new battery to a leading smartphone company for a debut in mobile phones later this year.

Many of the lithium-ion batteries that power everything from mobile devices to electric cars use graphite in their anodes. However, for decades, researchers have investigated silicon as a replacement for this graphite. In theory, silicon offers roughly 10 times the energy density of graphite in lithium-ion batteries.

“Basically, graphite holds on to lithium using holes in its structure,” says Raj Talluri, CEO of Enovix. “In contrast, with silicon in the anodes—usually a silicon oxide or a silicon carbide—lithium actually chemically combines with the silicon to form a new material. This lets a silicon-based anode hold on to much more lithium than graphite during charging. When the battery discharges, the silicon material goes back to its original state.”

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