In a podcast appearance, DeepMind CEO Demis Hassabis said that Google will eventually combine its Gemini and Veo AI models.
Category: robotics/AI – Page 45
Even by the standards of today’s AI market, $2 billion of funding for a startup less than a year old with no product is a gargantuan sum and would rank as one of the largest seed rounds in history.
The UK is developing a controversial AI tool to predict potential murderers using personal data from convicts, victims, and witnesses. Aimed at preventing crime, the initiative mirrors global trends in AI policing. However, critics warn of bias, privacy issues, and call the project “chilling and dystopian,” raising ethical concerns about pre-crime technology.
UK | artificial intelligence | AI | murder | firstpost | world news | news live | vantage | palki sharma | news.
#uk #ai #murder #firstpost #vantageonfirstpost #palkisharma #worldnews.
Vantage is a ground-breaking news, opinions, and current affairs show from Firstpost. Catering to a global audience, Vantage covers the biggest news stories from a 360-degree perspective, giving viewers a chance to assess the impact of world events through a uniquely Indian lens.
The show is anchored by Palki Sharma, Managing Editor, Firstpost.
There was the hype, then the testing, now companies are deploying artificial intelligence at the heart of their operations. We ask one of the world’s most prominent AI scientists for his advice for companies, and hear how Siemens is creating the ‘brains’ to run the factories of the future.
Evo 2, the largest AI model in biology to date, can accurately predict the effects of all types of genetic mutations
In an interview with Meta CTO Andrew Bosworth, the filmmaker weighs in on Stability AI and VFX, “in the style of” prompts, and whether input or outputs of models should be targeted: “We’re all models.”
How does the brain work? Where, and when, and why do neurons connect and send their signals? Scientists have created the largest wiring diagram and functional map of an animal brain to date to learn more. Research teams at Allen Institute, @BCMweb and @princeton worked together to map half a billion synapses, over 200,000 cells, and 4km of axons from a cubic millimeter of mouse brain, providing unparalleled detail into its structure and functional properties. The project is part of the Machine Intelligence from Cortical Networks (MICrONS) program, which seeks to revolutionize machine learning by reverse-engineering the algorithms of the brain. Research findings reveal key insights into brain activity, connectivity, and structure—shedding light on both form and function—within a region of the mouse visual cortex that plays a critical role in brain health and is often disrupted in neurological conditions such as Alzheimer’s disease, autism, and addiction. These insights could revolutionize our ability to treat neuropsychiatric diseases or study the influence of drugs and other changes on the brain.
This extraordinary achievement begins to reveal the elusive language the brain uses to communicate amongst its millions of cells and the cortical mechanisms of intelligence—one of the holy grails of science.
Learn more about this research: https://alleninstitute.org/news/scien… open science data: https://www.microns-explorer.org/ Explore the publications in Nature: https://www.nature.com/immersive/d428… Follow us on social media: Bluesky — https://bsky.app/profile/alleninstitu… Facebook — / alleninstitute X —
/ alleninstitute Instagram —
/ alleninstitute LinkedIn —
/ allen-institute TikTok —
/ allen.institute.
Access open science data: https://www.microns-explorer.org/
Explore the publications in Nature: https://www.nature.com/immersive/d428…
Follow us on social media:
Bluesky — https://bsky.app/profile/alleninstitu…
Facebook — / alleninstitute.
X — / alleninstitute.
Instagram — / alleninstitute.
LinkedIn — / allen-institute.
TikTok — / allen.institute
Using artificial intelligence shortens the time to identify complex quantum phases in materials from months to minutes, finds a new study published in Newton. The breakthrough could significantly speed up research into quantum materials, particularly low-dimensional superconductors.
The study was led by theorists at Emory University and experimentalists at Yale University. Senior authors include Fang Liu and Yao Wang, assistant professors in Emory’s Department of Chemistry, and Yu He, assistant professor in Yale’s Department of Applied Physics.
The team applied machine-learning techniques to detect clear spectral signals that indicate phase transitions in quantum materials—systems where electrons are strongly entangled. These materials are notoriously difficult to model with traditional physics because of their unpredictable fluctuations.
A machine learning method has the potential to revolutionize multi-messenger astronomy. Detecting binary neutron star mergers is a top priority for astronomers. These rare collisions between dense stellar remnants produce gravitational waves followed by bursts of light, offering a unique opportunit
In 2021, the Office of the Director of National Intelligence (ODNI) released a report detailing recently declassified information on Unidentified Aerial Phenomena (UAP).
Since then, the Department of Defense has released annual reports on UAP through the All-domain Anomaly Resolution Office (AARO). Nevertheless, there is still a lack of publicly available scientific data.
To address this, a new study led by the Harvard-Smithsonian Center for Astrophysics (CfA) and the Galileo Project proposes an All-Sky Infrared Camera (Dalek) to search for potential indications of extraterrestrial spacecraft.