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A component of computer processors that connects different parts of the chip can be exploited by malicious agents who seek to steal secret information from programs running on the computer, MIT researchers have found.

Modern computer processors contain many computing units, called cores, which share the same hardware resources. The on-chip interconnect is the component that enables these cores to communicate with each other. But when programs on multiple cores run simultaneously, there is a chance they can delay one another when they use the interconnect to send data across the chip at the same time.

By monitoring and measuring these delays, a malicious agent could conduct what is known as a “side-channel attack” and reconstruct secret information that is stored in a program, such as a cryptographic key or password.

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A team of researchers from Nanjing University of Posts and Telecommunications and the Chinese Academy of Sciences in China and Nanyang Technological University and the Agency for Science Technology and Research in Singapore developed an artificial neuron that is able to communicate using the neurotransmitter dopamine. They published their creation and expected uses for it in the journal Nature Electronics.

As the researchers note, most machine-brain interfaces rely on as a communications medium, and those signals are generally one-way. Electrical signals generated by the brain are read and interpreted; signals are not sent to the brain. In this new effort, the researchers have taken a step toward making a that can communicate in both directions, and it is not based on electrical signals. Instead, it is chemically mediated.

The work involved building an artificial neuron that could both detect the presence of dopamine and also produce dopamine as a response mechanism. The neuron is made of graphene (a single sheet of carbon atoms) and a carbon nanotube electrode (a single sheet of carbon atoms rolled up into a tube). They then added a sensor capable of detecting the presence of dopamine and a device called a memristor that is capable of releasing dopamine using a heat-activated hydrogel, attached to another part of their artificial neuron.

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Across the United States, local wind and solar jobs can fully replace the coal-plant jobs that will be lost as the nation’s power-generation system moves away from fossil fuels in the coming decades, according to a new University of Michigan study.

As of 2019, -fired directly employed nearly 80,000 workers at more than 250 plants in 43 U.S. states. The new U-M study quantifies—for the first time—the technical feasibility and costs of replacing those coal jobs with local wind and solar employment across the country.

The study, published online Aug. 10 in iScience, concludes that local wind and solar jobs can fill the electricity generation and employment gap, even if it’s required that all the new jobs are located within 50 miles of each retiring coal plant.

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Some signed third-party bootloaders for the Unified Extensible Firmware Interface (UEFI) could allow attackers to execute unauthorized code in an early stage of the boot process, before the operating system loads.

Vendor-specific bootloaders used by Windows were found to be vulnerable while the status of almost a dozen others is currently unknown.

Threat actors could exploit the security issue to establish persistence on a target system that cannot be removed by reinstalling the operating system (OS).

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Optics, technologies that leverage the behavior and properties of light, are the basis of many existing technological tools, most notably fiber communication systems that enable long-and short-distance high-speed communication between devices. Optical signals have a high information capacity and can be transmitted across longer distances.

Researchers at California Institute of Technology have recently developed a new device that could help to overcome some of the limitations of existing . This device, introduced in a paper published in Nature Photonics, is a lithium niobate-based device that can switch ultrashort light pulses at an extremely low optical pulse energy of tens of femtojoules.

“Unlike electronics, optics still lacks efficiency in required components for computing and signal processing, which has been a major barrier for unlocking the potentials of optics for ultrafast and efficient computing schemes,” Alireza Marandi, lead researcher for the study, told Phys.org. “In the past few decades, substantial efforts have been dedicated to developing all– that could address this challenge, but most of the energy-efficient designs suffered from slow switching times, mainly because they either used high-Q resonators or carrier-based nonlinearities.”

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