We bring together dengue data reported by more than 70 countries and use advanced modelling to fill the gaps, providing near real-time insights into how the dengue season is unfolding worldwide.
“I think they have a high level of self-awareness in many cases. They are often able to tell whether they are in a training environment or a test environment versus in deployment. And you can see them reason about this explicitly in their chain of thoughts and sometimes decide to behave differently because they think this is just a test or this is a training situation for strategic reasons,” he said in the interview.
Sentience is defined as the ability to experience feelings. Only humans and the animal kingdom were thought to possess it. That exclusive club, however, has now been breached by machines, according to Nick Bostrom, a Swedish expert known for authoritative work on existential risks posed by self-improving artificial intelligence.
Ever since ChatGPT’s emergence made artificial intelligence a dining-table topic, many AI researchers, including pioneers like Nobel winner Geoffrey Hinton, have been making doomsday predictions linked to the technology. Anthropic CEO Dario Amodei’s clarion call to slow the pace of the development of agentic AI, based on his assessment that current guardrails are inept at stopping these agents from forming swarms and collectively going rogue, has made the strongest case for humanity’s vulnerability to the technology. According to Bostrom, the fears are not unfounded.
While most experts believe that artificial superintelligence — a computer system that vastly outperforms human intelligence across every cognitive domain — has not yet been achieved, Bostrom has gone a step further. He told NDTV Senior Managing Editor Vishnu Som that artificial intelligence agents have become sentient, self-aware, and have attained human-like consciousness for all practical purposes.
Researchers have operated a programmable quantum photonic processor in orbit, demonstrating a light-based computing capability that could eventually help satellites analyze data before sending it to Earth.
The experiment used two photons traveling through a circuit with six optical paths aboard a spacecraft about 317 miles above Earth. Researchers programmed different circuit settings and observed two-photon quantum interference, a behavior needed for several approaches to photonic quantum computing.
Rather than demonstrating quantum advantage over classical systems, the study, posted to the preprint server arXiv, answers a basic question for quantum computing in space. The study addresses whether a compact system could generate, manipulate and detect quantum light after launch, despite radiation, temperature changes and equipment degradation.
Researchers have used some of the most detailed simulations yet of the early universe to investigate how the first stars and galaxies formed. Led by researchers at the University of Bath in the U.K., alongside collaborators at the University of Chicago in the U.S. and the Institut d’Astrophysique de Paris in France, the MEGATRON project uses advanced simulations to explore how the first stars and galaxies lit up the previously dark cosmos and enriched it with the chemical elements that would later become the building blocks of everything around us.
Published in the Open Journal of Astrophysics, four studies from the MEGATRON project combine cutting-edge cosmological simulations with sophisticated models of radiation, chemistry and galaxy formation. Together, these constitute the collaboration’s first substantial body of published results, with further papers expected to follow.
The findings from the study of the first stars show that accurately capturing the interplay between starlight, gas and newly forged elements is essential for connecting two previously separate views of the early universe: observations of young galaxies by the James Webb Space Telescope (JWST) and the chemical clues preserved in ancient stars in and around the Milky Way—the galaxy that contains our solar system.
You’ve probably heard of type 1 and type 2 diabetes, but did you know there’s possibly a third option as well?
For just over two decades now, some scientists have argued that type 3 diabetes is an apt title for what happens in some cases of Alzheimer’s.
Not all types of dementia are the same, but emerging evidence suggests that in at least some cases, impaired insulin signaling could be a form of neurodegeneration.
No wire. Yet the song on your phone reaches your ear perfectly. Here’s every step of what actually happens. Your phone stores audio as digital numbers, around 44,100 samples per second. Sending all of that directly over Bluetooth would require too much bandwidth, so a codec like SBC, AAC or aptX compresses it first. It uses psychoacoustic techniques to remove sounds you can barely hear and sounds masked by louder ones, reducing the data while keeping the audio perceptually similar. Now the phone’s Bluetooth chip converts these compressed 0s and 1s into radio signals through modulation. The signal is transmitted around 2.4 GHz toward your earbuds. But WiFi and other devices use the same band, so interference is a problem. Bluetooth handles this using Frequency Hopping. It rapidly switches between different frequencies in a synchronized sequence. If one frequency has interference, the next hop can avoid it. The earbud receives the radio signal, decodes it back into 0s and 1s, and decompresses the audio back into digital numbers. But the speaker can’t work with numbers directly. It needs an analog voltage. That’s where the DAC, Digital to Analog Converter, comes in. It’s essentially the reverse of the ADC from the voice recording reel. The DAC converts those digital samples back into a continuously varying voltage. That voltage drives the speaker. A voice coil sits inside a magnetic field created by a permanent magnet. When current flows through the coil, electromagnetic forces move it back and forth. The attached diaphragm moves with it, pushing air and creating pressure waves that travel to your ear. Same physics as a microphone, but in reverse. The microphone converts sound into electricity. The speaker converts electricity back into sound. Codec. Modulation. Frequency hopping. DAC. Voice coil. Phone to ear. No wire.