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Building “alternative” energy infrastructure isn’t enough. To avert climate disaster, fossil fuels need to be restricted, and energy consumption overall needs to fall.

Building “alternative” energy infrastructure isn’t enough. To avert climate disaster, fossil fuels need to be restricted, and energy consumption overall needs to fall.

Telegram Response.

• A company owned by a Russian network engineer named Viktor Vedeneev controls thousands of Telegram IP addresses and maintains its servers.
• Vedeneev’s other companies have a history of collaborating with Russia’s defense sector, the FSB security service, and other highly sensitive agencies.
• Because of the way Telegram’s encryption protocols work, even users who use its “end-to-end” encryption features are vulnerable to being tracked by anyone who can monitor its network traffic.

Telegram Response.

• A company owned by a Russian network engineer named Viktor Vedeneev controls thousands of Telegram IP addresses and maintains its servers.
• Vedeneev’s other companies have a history of collaborating with Russia’s defense sector, the FSB security service, and other highly sensitive agencies.
• Because of the way Telegram’s encryption protocols work, even users who use its “end-to-end” encryption features are vulnerable to being tracked by anyone who can monitor its network traffic.

On Saturday, US President Donald Trump wrested control of 2,000 California National Guard forces from the state’s Governor Gavin Newsom and deployed them in Los Angeles where police and protestors clashed in the streets.

President Trump claims that the move is necessary to protect federal workers and buildings, but this is dubious. Neither Newsom nor Los Angeles Mayor Karen Bass believes this deployment is needed, with Newsom arguing that the “move is purposefully inflammatory and will only escalate tensions.”

Almost as though aiming to prove Newsom’s point, US Defense Secretary Pete Hegseth threatened to send active-duty troops if the protests continue; a threat that became reality when 700 marines were deployed from Twentynine Palms to Los Angeles.

The CARDIAC-PND study is one of the first to monitor brain resilience in living people, capturing how older adults respond and adapt to the stress of surgery – and why some go on to develop dementia while others remain cognitively strong.

An autonomous drone carrying water to help extinguish a wildfire in the Sierra Nevada might encounter swirling Santa Ana winds that threaten to push it off course. Rapidly adapting to these unknown disturbances inflight presents an enormous challenge for the drone’s flight control system.

To help such a drone stay on target, MIT researchers developed a new, machine learning-based adaptive control algorithm that could minimize its deviation from its intended trajectory in the face of unpredictable forces like gusty winds.

Unlike standard approaches, the new technique does not require the person programming the autonomous drone to know anything in advance about the structure of these uncertain disturbances. Instead, the control system’s artificial intelligence model learns all it needs to know from a small amount of observational data collected from 15 minutes of flight time.

Importantly, the technique automatically determines which optimization algorithm it should use to adapt to the disturbances, which improves tracking performance. It chooses the algorithm that best suits the geometry of specific disturbances this drone is facing.

The researchers train their control system to do both things simultaneously using a technique called meta-learning, which teaches the system how to adapt to different types of disturbances.

Taken together, these ingredients enable their adaptive control system to achieve 50 percent less trajectory tracking error than baseline methods in simulations and perform better with new wind speeds it didn’t see during training.

In the future, this adaptive control system could help autonomous drones more efficiently deliver heavy parcels despite strong winds or monitor fire-prone areas of a national park.