In a Stanford study, a two-hour interview was all it took for an AI to accurately predict people’s responses to a barrage of questions.
From a handheld soldering gun to the ‘playbird mansion’ and, of course, the marvel of a smartphone microscope, there are some gadgets that we come across that we instantly want – and this wireless ultrasonic cutter is definitely another.
And much like the soldering gun, this little jigger has such a broad range of applications that, while it’s aimed at the do-it-yourself maker and crafter, its appeal is certainly not limited to this.
The Hanboost C1 wireless ultrasonic cutter can precisely slice through a vast array of materials – wood, plastics, leather, rubber, paper – silently, using 40,000 vibrations per second to make even the most fiddly jobs look easy. No tearing, no scratching or scoring, it just glides through calmly, slowly and with effortless precision.
Cold Spring Harbor Laboratory scientists developed an AI algorithm inspired by the genome’s efficiency, achieving remarkable data compression and task performance.
In a sense, each of us begins life ready for action. Many animals perform amazing feats soon after they’re born. Spiders spin webs. Whales swim. But where do these innate abilities come from? Obviously, the brain plays a key role as it contains the trillions of neural connections needed to control complex behaviors.
However, the genome has space for only a small fraction of that information. This paradox has stumped scientists for decades. Now, Cold Spring Harbor Laboratory (CSHL) Professors Anthony Zador and Alexei Koulakov have devised a potential solution using artificial intelligence.
Two satellites in Proba-3 mission expected to be launched on Wednesday in India and will work in tandem to study sun’s corona.
Some researchers propose that advancing AI to the next level will require an internal architecture that more closely mirrors the human mind. Rufin VanRullen joins Brian Greene to discuss early results from one such approach, based on the Global Workspace Theory of consciousness.
This program is part of the Big Ideas series, supported by the John Templeton Foundation.
Participant: Rufin VanRullen.
Moderator: Brian Greene.
00:00 — Introduction.
02:06 — Participant Introduction.
03:12 — VanRullin’s journey from neuroscience to artificial neural networks.
05:25 — Algorithmic approach to neural networks.
08:02 — Simulation of information processing.
09:25 — Global Workspace Theory.
21:33 — Global Workspace providing insight on consciousness.
23:14 — Role of language in consciousness and replicating intelligence.
25:30 — Developing consciousness in AI systems.
31:38 — How to recognize if AI has developed consciousness.
32:32 — Time scale of Global Workspace Theory and emergence of consciousness in AI
34:45 — Credits.
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A recent study from the Centre for Genomic Regulation (CRG) in Barcelona reveals that bacteria can adapt their ribosomes when exposed to widely used antibiotics, potentially playing a role in the development of antibiotic resistance. These small changes can modify the drug-binding sites on ribosomes, reducing the effectiveness of antibiotics.
The research focused on Escherichia coli (E. coli), a usually harmless bacterium that can lead to serious infections. The team exposed E. coli to two antibiotics, streptomycin and kasugamycin.
A new study by the University of Reading on human brain evolution has found that modern humans, Neanderthals, and other recent relatives evolved larger brains much more rapidly than earlier species. This challenges previous ideas, suggesting that brain size increased gradually within each ancient human species, rather than through sudden leaps between species.
Anthropic, a leading AI model provider, has proposed a protocol and architecture for providing language models with the necessary context obtained from external systems.
A research team at the Institute of Materials Chemistry at TU Wien, led by Professor Dominik Eder, has developed a new synthetic approach to create durable, conductive and catalytically active hybrid framework materials for (photo)electrocatalytic water splitting. The study is published in Nature Communications.
The development of technologies for sustainable energy carriers, such as hydrogen, is essential. A promising way to produce hydrogen (H2) is from splitting water into H2 and oxygen (O2), either electrochemically or using light, or both—a path that the team follows. However, this process requires a catalyst that accelerates the reaction without being consumed. Key criteria for a catalyst include a large surface area for the adsorption and splitting of water molecules, and durability for long-term use.
Zeolitic imidazolate frameworks (ZIFs), a class of hybrid organic/inorganic materials with molecular interfaces and numerous pores, offer record surface areas and ample adsorption sites for water as catalysts. They consist of single metal ions, such as cobalt ions, which are connected by specific organic molecules, called ligands, through what is called coordination bonds. Conventional ZIFs only contain a single type of organic ligand.