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Australia has served up a Secure Innovation Placemat [PDF].

The wide variance in the documents is by design: each Five Eyes nation chose its own approach, although the campaign is a coordinated effort that is billed as “consistent and consolidated advice reflecting both the globalized and interconnected tech startup ecosystem as well as the global nature of the security threats startups face.” And everybody uses placemats.

Whether this advice will break through the “move fast and break things” culture that many startups nurture is anyone’s guess. The Register has reported on security and resilience troubles in the early years at Uber and Lyft, GitLab, and at OpenAI.

Researchers have developed a new ultrafast laser platform that generates ultra-broadband ultraviolet (UV) frequency combs with an unprecedented one million comb lines, providing exceptional spectral resolution. The new approach, which also produces extremely accurate and stable frequencies, could enhance high-resolution atomic and molecular spectroscopy.

The conservation law is a fundamental tool that significantly aids our quest to understand the world, playing a crucial role across various scientific disciplines. Particularly in strong-field physics, these laws enhance our comprehension of atomic and molecular structures as well as the ultrafast dynamics of electrons.

Electrons spin even without an electric charge and this motion in condensed matter constitutes spin current, which is attracting a great deal of attention for next-generation technology such as memory devices. An Osaka Metropolitan University-led research group has been able to gain further insight into this important topic in the field of spintronics.

Quantum computers hold the promise to emulate complex materials, helping researchers better understand the physical properties that arise from interacting atoms and electrons. This may one day lead to the discovery or design of better semiconductors, insulators, or superconductors that could be used to make ever faster, more powerful, and more energy-efficient electronics.

The close relationship between AI and highly complicated scientific computing can be seen in the fact that both the 2024 Nobel Prizes in Physics and Chemistry were awarded to scientists for devising AI for their respective fields of study. KAIST researchers have now succeeded in dramatically shortening the calculation time of highly sophisticated quantum mechanical computer simulations by predicting atomic-level chemical bonding information distributed in 3D space using a novel approach to teach AI.