How physicist Sameera Moussa went from a role model to a target

How physicist Sameera Moussa went from a role model to a target

Enlarge (credit: Aurich Lawson | Wikipedia)

Science and the technology it enables have always had a close relationship with warfare. But World War II saw science’s destructive power raised to new levels. As the threat of nuclear annihilation remained high for much of the Cold War, many in the public became uneasy with their governments and the scientists working for them.

Many physicists realized that the genie was out of the bottle and recognized this mistrust—or shared it. They created conferences or drafted policies to distance themselves from the nuclear threat. Others tried to spin nuclear technology more positively by focusing on the advances it enabled in energy or medicine. These efforts to reassure the public have continued through today as scientists have taken similar actions for newer, potentially destructive technologies such as gene editing.

During World War II, Sameera Moussa, a relatively unknown Egyptian physicist, was one of the key individuals who tried to use atomic energy for good and made efforts to involve the public in that choice. Her work makes her a worthy role model for women and physicists worldwide, but she’s largely unknown because her crusade for peaceful nuclear power would eventually cost her her life. Moussa was assassinated at age 35 in a case that remains unsolved today.

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Source: Ars Technica – How physicist Sameera Moussa went from a role model to a target

20 Times People Lived in a Wes Anderson Movie on TikTok

Romanticizing your life on social media is nothing new, but some TikTokers are taking it to a new level of *~aesthetics*~. A recent trend has emerged on the video sharing platform that features users creating TikToks with a vibe ripped straight from a Wes Anderson movie. The shorts feature users going about their…

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Source: Gizmodo – 20 Times People Lived in a Wes Anderson Movie on TikTok

Intel's I219-LM Gigabit Ethernet Adapter Ran at 60% Maximum Speed on Linux Since 2020

Phoronix reports:

If you rely on an Intel I219-LM Gigabit Ethernet adapter, you will want to look forward to upgrading your Linux kernel build soon… A fix was committed Thursday after Intel engineers discovered this particular Ethernet chipset had only been running at around 60% of its maximum speed due to a regression introduced back in 2020…

Since the release of Linux 5.8 in mid-2020, this Ethernet adapter had been running at around 60% of its advertised potential due to an e1000e driver regression.

Read more of this story at Slashdot.



Source: Slashdot – Intel’s I219-LM Gigabit Ethernet Adapter Ran at 60% Maximum Speed on Linux Since 2020

Improved Linux Power Savings For Intel Haswell/Broadwell Laptops In 2023

It’s been just shy of ten years since Intel launched their Haswell processors that were very successful at the time and was followed by Broadwell. While Intel’s open-source Linux driver engineers are primarily concentrated on recent and future Intel hardware platforms, occasionally there is an improvement worth mentioning for mature platforms like Haswell and Broadwell. A new patch series this week will help with some minor graphics power-savings for those still running a nearly decade old Intel Linux laptop…

Source: Phoronix – Improved Linux Power Savings For Intel Haswell/Broadwell Laptops In 2023

Flashrom Splits Into Two For This Firmware/ROM Flashing Utility

The Flashrom project that serves as an open-source firmware/ROM flashing utility not only for system BIOS/UEFI on motherboards but also capable of flashing firmware for various network / GPU / storage controller cards and other programmable devices has decided to effectively split into two…

Source: Phoronix – Flashrom Splits Into Two For This Firmware/ROM Flashing Utility

QEMU 8.0 Released with More ARM and RISC-V Emulation

There’s a major new update of QEMU, the open-source machine emulator, reports 9to5Linux:

Coming a year after QEMU 7.0, the QEMU 8.0 release is here to improve support for ARM and RISC-V architectures.
– For ARM, it adds emulation support for FEAT_EVT, FEAT_FGT, and AArch32 ARMv8-R, CPU emulation for Cortex-A55 and Cortex-R52, support for a new Olimex STM32 H405 machine type, as well as gdbstub support for M-profile system registers.

– For the RISC-V architecture, QEMU 8.0 brings updated machine support for OpenTitan, PolarFire, and OpenSBI, additional ISA and Extension support for smstateen, native debug icount trigger, cache-related PMU events in virtual mode, Zawrs/Svadu/T-Head/Zicond extensions, and ACPI support. Moreover, RISC-V received multiple fixes covering PMP propagation for TLB, mret exceptions, uncompressed instructions, and other emulation/virtualization improvements.

Improvements were also made for the s390x (IBM Z) platform, the HP Precision Architecture (HPPA) platform, and x86.

Read more of this story at Slashdot.



Source: Slashdot – QEMU 8.0 Released with More ARM and RISC-V Emulation

Turing Pi reveals RK1 CM specifications

The Turing RK1 is a computer module powered by the Octa-core Rockchip RK3588 System-on-Chip. The RK1 will be available with up to 32GB RAM, 16GB eMMC storage and various other interfaces. The Turing RK1 is compatible with the Turing Pi 2 mini-ITX cluster board released last year.  RK3588S SoC — Quad-core Cortex-A76 (up to 2.4GHz), […]

Source: LXer – Turing Pi reveals RK1 CM specifications

Argentina's 'Generacion Zoe' Promised Financial and Spirtual Development. Was it a Ponzi Scheme?

It was a mix of spiritualism and financial education, remembers one patron of Generación Zoe, which “pitched itself as an ‘educational and resource-creating community for personal, professional, financial and spiritual development,'” reports Rest of World:
Generación Zoe claimed to make money through trading, and promised a 7.5% monthly return on investment for three years for those who put money into its “trust.” In Argentina and other countries, other companies with the Zoe name peddled a similar narrative… It included a “university” that offered courses on ontological coaching, a type of philosophical practice popular in some Argentine business circles…

Over 2020 and 2021, more than ten thousand people bought into Zoe, investing hundreds of millions of dollars between them. Zoe grew rapidly, hyping new tech innovations including the “robots” and a cryptocurrency called Zoe Cash. Its interests and visibility expanded: The Zoe name appeared on burger joints, car dealerships, a plane rental company, and pet shops, all emblazoned with its name. It sponsored soccer teams and even created three of its own… Zoe also spread beyond Argentina to other countries in Latin America and further afield, including Mexico, Paraguay, Colombia, Spain, and the U.S.

Towards the end of 2021, however, the shine began to wear off, as authorities began looking into Zoe’s activities… Zoe members reported being unable to withdraw the funds they had put into trusts or “robots,” and in early 2022, the value of Zoe Cash plummeted. Angry investors banged on the doors of Zoe’s branches, and investigations against Zoe and Cositorto piled up across Latin America, Spain, and the U.S.
By March 2022, a handful of high-profile names involved with Zoe in Argentina had been arrested, or were wanted by the authorities…

Prosecutors now accuse Zoe of being nothing more than a simple Ponzi scheme.

Read more of this story at Slashdot.



Source: Slashdot – Argentina’s ‘Generacion Zoe’ Promised Financial and Spirtual Development. Was it a Ponzi Scheme?

US Department of Homeland Security is Now Studying How to Make Use of AI

America’s Department of Homeland Security “will establish a new task force to examine how the government can use artificial intelligence technology to protect the country,” reports CNBC.
The task force was announcement by department secretary Alejandro Mayorkas Friday during a speech at a Council on Foreign Relations event:
“Our department will lead in the responsible use of AI to secure the homeland,” Mayorkas said, while also pledging to defend “against the malicious use of this transformational technology.” He added, “As we do this, we will ensure that our use of AI is rigorously tested to avoid bias and disparate impact and is clearly explainable to the people we serve….”

Mayorkas gave two examples of how the task force will help determine how AI could be used to fine-tune the agency’s work. One is to deploy AI into DHS systems that screen cargo for goods produced by forced labor. The second is to use the technology to better detect fentanyl in shipments to the U.S., as well as identifying and stopping the flow of “precursor chemicals” used to produce the dangerous drug.

Mayorkas asked Homeland Security Advisory Council Co-Chair Jamie Gorelick to study “the intersection of AI and homeland security and deliver findings that will help guide our use of it and defense against it.”

The article also notes that earlier this week America’s defense department hired a former Google AI cloud director to serve as its first advisor on AI, robotics, cloud computing and data analytics.

Read more of this story at Slashdot.



Source: Slashdot – US Department of Homeland Security is Now Studying How to Make Use of AI

US Department of Homeland Security is Now Studying How to Use of AI

America’s Department of Homeland Security “will establish a new task force to examine how the government can use artificial intelligence technology to protect the country,” reports CNBC.
The task force was announcement by department secretary Alejandro Mayorkas Friday during a speech at a Council on Foreign Relations event:
“Our department will lead in the responsible use of AI to secure the homeland,” Mayorkas said, while also pledging to defend “against the malicious use of this transformational technology.” He added, “As we do this, we will ensure that our use of AI is rigorously tested to avoid bias and disparate impact and is clearly explainable to the people we serve….”

Mayorkas gave two examples of how the task force will help determine how AI could be used to fine-tune the agency’s work. One is to deploy AI into DHS systems that screen cargo for goods produced by forced labor. The second is to use the technology to better detect fentanyl in shipments to the U.S., as well as identifying and stopping the flow of “precursor chemicals” used to produce the dangerous drug.

Mayorkas asked Homeland Security Advisory Council Co-Chair Jamie Gorelick to study “the intersection of AI and homeland security and deliver findings that will help guide our use of it and defense against it.”

The article also notes that earlier this week America’s defense department hired a former Google AI cloud director to serve as its first advisor on AI, robotics, cloud computing and data analytics.

Read more of this story at Slashdot.



Source: Slashdot – US Department of Homeland Security is Now Studying How to Use of AI

12 of Twitter's Best Jokes and Memes About Elon Musk's Blue Check Apocalypse

Since the beginning of Elon Musk’s reign at Twitter, he’s threatened to remove the legacy verification—signified by a white check in a blue circle beside the account name—that predated his tenure. Musk even set April 1st as the date for the purge, which came and went without any changes, either because of ineptitude…

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Source: Gizmodo – 12 of Twitter’s Best Jokes and Memes About Elon Musk’s Blue Check Apocalypse

Scientists Discover First 'Neutron-Rich' Isotope of Uranium Since 1979

An anonymous reader shared this report from LiveScience: Scientists have discovered and synthesized an entirely new isotope of the highly radioactive element uranium. But it might last only 40 minutes before decaying into other elements. The new isotope, uranium-241, has 92 protons (as all uranium isotopes do) and 149 neutrons, making it the first new neutron-rich isotope of uranium discovered since 1979. While atoms of a given element always have the same number of protons, different isotopes, or versions, of those elements may hold different numbers of neutrons in their nuclei. To be considered neutron-rich, an isotope must contain more neutrons than is common to that element…

“We measured the masses of 19 different actinide isotopes with a high precision of one part per million level, including the discovery and identification of the new uranium isotope,” Toshitaka Niwase, a researcher at the High-energy Accelerator Research Organization (KEK) Wako Nuclear Science Center (WNSC) in Japan, told Live Science in an email. “This is the first new discovery of a uranium isotope on the neutron-rich side in over 40 years.” Niwase is the lead author of a study on the new uranium isotope, which was published March 31 in the journal Physical Review Letters…

Niwase and colleagues created the uranium-241 by firing a sample of uranium-238 at platinum-198 nuclei at Japan’s RIKEN accelerator. The two isotopes then swapped neutrons and protons — a phenomenon called “multinucleon transfer.” The team then measured the mass of the created isotopes by observing the time it took the resulting nuclei to travel a certain distance through a medium. The experiment also generated 18 new isotopes, all of which contained between 143 and 150 neutrons.

Read more of this story at Slashdot.



Source: Slashdot – Scientists Discover First ‘Neutron-Rich’ Isotope of Uranium Since 1979

New Version of Rust Speeds Compilation With Less Debugging Info By Default

The Rust team released a new version Thursday — Rust 1.69.0 — boasting over over 3,000 new commits from over 500 contributors.

Phoronix highlights two new improvements:

In order to speed-up compilation speeds, Rust 1.69 and moving forward debug information is no longer included in build scripts by default. Cargo will avoid emitting debug information in build scripts by default — leading to less informative backtraces in build scripts when problems arise, but faster build speeds by default. Those wanting the debug information emitted can now set the debug flag in their Cargo.toml configuration.

The Cargo build shipped by Rust 1.69 is also now capable of suggesting fixes automatically for some of the generated warnings. Cargo will also suggest using “cargo fix” / “cargo clippy –fix” when it knows the errors can be automatically fixed.

Read more of this story at Slashdot.



Source: Slashdot – New Version of Rust Speeds Compilation With Less Debugging Info By Default

Gowin Semi introduces Arora V 138K eval board

Gowin Semiconductors announced this week an evaluation board based on the GW5AT-138 FPGA series targeting communications, server imaging, automotive and other high-speed applications. The GW5AT FPGA (22nm process) belongs to the fifth generation product from the Gowin Arora family. Refer to the GOWINSEMI Arora V FPGA page for more information. GW5AT-LV138FPG676A — 138K LUT4, 298 […]

Source: LXer – Gowin Semi introduces Arora V 138K eval board