Research
Startups Using AI for Material Discovery
Siftedmedium confidence
Why it matters
- →This development could significantly accelerate research and applications in various industries, including manufacturing and technology.
Several startups are leveraging AI technologies to innovate in the field of material discovery, aiming to enhance efficiency and effectiveness in identifying new materials.
Read originalMore from Sifted
© SiftedInvestment · €3bn
Market & Regulationbusiness
Mistral in Talks for €3bn Raise at €20bn Valuation
Mistral, a Paris-based AI scaleup, is reportedly in discussions to raise €3bn at a valuation of €20bn, marking a significant leap in its growth trajectory. This potential funding round reflects Europe's ambition to compete with US and Chinese AI giants, as Mistral positions itself as a key player in the foundational model space. The company has already secured strong political backing and partnerships, notably with ASML, and is investing heavily in its own AI infrastructure. If successful, this raise would bring Mistral's total funding to €6.5bn, highlighting its rapid ascent in the AI industry.
Sifted
© SiftedInvestment · $1.4B
Market & Regulationbusiness
Neura Robotics raises $1.4B in Series C
Neura Robotics has achieved a landmark $1.4 billion Series C funding round, setting a new record for robotics investments in Europe. The round attracted a diverse array of investors, including major industrial players, tech leaders, and the crypto firm Tether. This substantial investment reflects the growing belief in Neura's potential to revolutionize robotics through AI integration. With this capital, Neura is poised to accelerate the development and deployment of its advanced robotics systems, potentially transforming the European robotics landscape and setting new standards for innovation.
Sifted
More in Research
© Google Research BlogResearchresearch
Google Research Explores AI in Dermatology Assistance
Google Research has been delving into how AI can aid individuals in comprehending skin conditions, with their latest findings published in JAMA Dermatology. Their studies reveal that AI tools can significantly enhance users' ability to identify skin conditions compared to traditional search methods. Despite this improvement in condition identification, the AI tools still face challenges in guiding users on the appropriate medical actions to take. This research demonstrates the potential of AI to make dermatological information more accessible to the public, although further refinement is necessary to enhance decision-making support.
Google Research Blog
© Google Research BlogResearchresearch
UC San Diego Turns Old Phones into Low-Carbon Cloud
In a novel approach to sustainable computing, researchers at UC San Diego, with support from Google, are repurposing retired smartphones into a low-carbon cloud computing platform. By extracting and clustering the motherboards of 2,000 Pixel phones, they aim to create a datacenter that offers low-cost computing power while reducing the need for new hardware. This initiative not only addresses the carbon footprint of manufacturing but also leverages the surprising power of smartphone processors, which can rival modern servers. The project will serve as a testbed for the viability of smartphone-based computing at scale, potentially transforming how educational institutions manage their computing resources.
Google Research Blog
© MIT News AIResearchresearch
MIT Researchers Enhance Random Utility Models
MIT researchers have uncovered a significant improvement in Random Utility Models (RUMs) by demonstrating that considering three alternatives instead of two can reveal correlations in preferences. This breakthrough challenges the traditional pairwise comparison method, which fails to capture the interconnectedness of choices. By using a best-of-three approach, the team has developed algorithms that efficiently extract preference information, offering a more accurate prediction model. This advancement is crucial for improving AI models and their commercial applications, particularly in areas like large language models and digital platforms.
MIT News AI