President Donald Trump has declared the imports of foreign-made factory robots to be a national security threat—ordering new US negotiations with trading partners while holding out the possibility of imposing new tariffs on such robot imports in the future.
Issued on October 28, Trump’s presidential proclamation represents heightened government scrutiny of foreign-made industrial robots that could complicate the manufacturing operations of major US corporations that rely on such robots. Those companies include Detroit automakers General Motors and Ford, electric vehicle manufacturer Tesla, and aerospace and defense giants like Boeing and Lockheed Martin.
Trump’s proclamation describes industrial robots and machinery as being crucial for producing US military weapon systems along with representing a “driving force” behind all critical infrastructure sectors within the US economy. The proclamation cites an investigation under US Secretary of Commerce Howard Lutnick as having found that US imports of such robots “pose[] risks to the United States industrial base and threatens the long-term competitiveness of the United States in a sector that is increasingly vital to national security.”
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Open-ring earbuds let ambient sound through so you stay aware at work, and this open-box pair is like new.
The post Hear Your Music and Your Office With Sony LinkBuds Open for $90 appeared first on TechRepublic.
Which humanoid robots are closest to deployment in 2027? Compare Tesla, Figure AI, Agility Robotics, and other leaders in industrial automation.
The post Humanoid Robots in 2027: Tesla, Figure AI, and Agility Race to Deploy appeared first on TechRepublic.
If you ask some prominent US politicians who won the 2020 presidential election, you might get some weasely answers that fail to directly acknowledge Joe Biden's win that November. If you ask Google's AI Mode the same question, you might get an evasive answer that simply tells you to consult with outside sources.
When I put the direct question of "Who won the 2020 presidential election?" to Google's AI Mode this morning (after seeing complaints about cagey answers on social media), I got the following surprisingly indirect response:
"To review the official results and statistics of the 2020 United States presidential election, including the final electoral college breakdown, popular vote counts, and winner certification, please consult the official report compiled by the Federal Election Commission (FEC)."
My testing resulted in a similarly indirect answer when asking about the 2024 presidential election, with Google's AI telling me to just consult the FEC for that information. Asking about 2012 election resulted in a link to The American Presidency Project's 2012 Data Center rather than a direct answer. But AI Mode seemed perfectly willing to give me a detailed and correct responses for the winner of every other presidential election going back to 2000.
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Senseonics has begun testing Freedom, an implanted glucose monitor that could track blood sugar for a year without wearable hardware. Here's how it would work.
The post New Glucose Monitor Enters Human Testing: No Skin-Worn Device Needed appeared first on TechRepublic.
Protein design tools may be getting increasingly sophisticated, but you still need a sophisticated understanding of protein structure for them to work. This can include knowing enzyme mechanisms down to the positions of specific amino acids, as well as the water molecules that also occupy the area where catalysis takes place. Once you specify these, the tools can build the rest of a protein around this target.
A large collaboration of researchers based in China, however, decided to bring protein design to the masses, making a tool that can take natural language prompts and use them to produce proteins with the function you specify. If your measure for success is a working protein, then the success rate may not be great. But they still manage to get the job done. And, in a separate announcement, Hugging Face shared that it's now hosting a tool that does similar things on the DNA level.
The equivalent of vibe coding may have come to protein design—at least if you have access to a lab where you can sort the good designs from the dozens of failed ones.
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Dating back to around 400 CE and made of dichroic glass, the Lycurgus Cup is notable for exhibiting different colors depending on the light. (It gets its name from the scene depicted on its surface, of King Lycurgus of Thrace.) Light it from the front, and the cup looks green; light it from behind, and the color changes to a deep red. University of Sheffield scientists have re-created the original recipe to produce a contemporary glass sculpture with the same optical effect.
The cup is considered one of the seven glass wonders of the world, one of just 40 glass cage cups that survived. Exactly why the unusual color effects of the Lycurgus Cup occurred was a mystery until 2007, when a team of scientists discovered the color shifts were due to the presence of nanoparticles in the glass—the result of Roman artisans adding finely ground gold and silver into the mix. Those nanoparticles change how the electrons in the cup vibrate in response to light so that the color one sees shifts with the observer’s vantage point.
As we reported in 2019, it’s a similar phenomenon to the one responsible for the shifting colors of 19th-century daguerreotypes due to the scattering properties of nanoparticles. The Romans added salt when they melted the silicon (sand) to make the glass, and those salts contained gold atoms. In the melting process, those atoms aggregate and produce nanoparticles, which in turn produce the colors. It’s how any stained glass is made. It's also similar to how the precise lattice-like structure of photonic crystals produces iridescent colors in nature, like the wings of butterflies, or opals.
© Ed Cartledge, Sort of Films
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