Researchers developed a machine learning model that can analyze chemical reactions as they happen in an electron microscope.

Artificial Intelligence vol. 4 — The Rise of the Machines.
01. Intro — Roy meets Tyrell.
02. Vangelis — Los Angeles, November 2019 [01:08]
03. Mahindra Waves — DNA [03:41]
04. Between Interval — Sea of Darkness [09:00]
05. Carl Sagan’s last Interview — The Warning [11:50]
06. Sam Hulick (Mass Effect OST) — Normandy [12:52]
07. Kammarheit — Provenience [14:10]
08. Vataff Project — Owl [18:03]
09. Field Rotation — Tiefflug [24:50]
10. Juno Reactor — Nitrogen Part 1 [31:28]
11. Mono Junk — Enter [38:30]
12. Gus Gus vs. T-world — Esja [43:10]
13. Aphex Twin — On [51:10]
14. Sephira — Memory Access [56:40]
15. HECQ — 8 [01:00:20]
16. Distant System — Pupillary response [01:01:20]
17. Blastromen — Follow The Command [01:03:20]
18. Blastromen — Battlenet [01:09:50]
19. Asura — Regenesis [01:16:53]
20. Field Rotation — Regenzeit [01:21:50]
21. Vangelis — Blade Runner (End Titles) [01:26:20]
Light-weight and flying robots the size of small insects could have highly valuable real-world applications, for instance supporting search & rescue missions, inspections of hazardous sites, and even space exploration.
Despite their potential, the realization of these robots has so far proved difficult, particularly due to technical issues encountered when trying to stabilize their flight and artificially replicate the innate hovering capabilities of insects.
Researchers at University of Washington have recently developed a flight control and wind sensing system that could help to tackle this challenging robotics problem, finally enabling the stable flight of robots even as small as a gnat. This system, introduced in Science Robotics, is based on the use of accelerometers, a sensor that can measure the acceleration of any moving device, object or body.
“It’s very impressive, the performance they’re able to achieve on some pretty challenging problems,” said Dr. Armando Solar-Lezama at MIT, who was not involved in the research.
The problems AlphaCode tackled are far from everyday applications—think of it more as a sophisticated math tournament in school. It’s also unlikely the AI will take over programming completely, as its code is riddled with errors. But it could take over mundane tasks or offer out-of-the-box solutions that evade human programmers.
Perhaps more importantly, AlphaCode paves the road for a novel way to design AI coders: forget past experience and just listen to the data.
Kindly see my latest FORBES article:
In the piece I explore some of the emerging tech that will impact our coming year. Thank you for reading and sharing!
2022 was a transformative year for technological innovation and digital transformation. The trend will continue as the pace of innovation and development of potentially disruptive emerging technologies exponentially increases every year. The question arises, what lies ahead for tech for us to learn and experience in 2023?
While there are many impactful tech topics such as the Internet of Things, 5G, Space, Genomics, Synthetic Biology, Automation, Augmented Reality, and others, there are four tech areas to keep a keen watch on this coming year as they have promising and near-term capabilities to transform lives. They include: 1) artificial intelligence, 2) computing technologies, 3) robotics, and 4) materials science.
Year 2021 face_with_colon_three
Xenobots, a type of programmable organism made from frog cells, can replicate by spontaneously sweeping up loose stem cells, researchers say. This could have implications for regenerative medicine.
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Australian artists say Lensa, the app that uses artificial intelligence to generate self-portraits, is stealing their content and are calling for stricter copyright laws that keep up with AI-generated art.
But the parent company behind the app has defended its use of images, saying Lensa learns to create portraits just as a human would – by learning different artistic styles.
A hidden mechanism for achieving glides of hundreds of feet is revealed by computational modelling.
Scientists are currently thinking of ways to create robots resembling the gliding motion of flying snakes, according to a study published today (Dec .13) in Physics of Fluids.
‘Undulations’ encourage lift.
KaraGrubis/iStock.
The researchers anticipate their findings will improve our comprehension of gliding motion and result in a more effective design for future airborne snake robots.