Kai-Fu Lee says that his startup 01.AI’s new model, Yi-Lighting is better than GPT-4 and 500x cheaper, and that we will see phenomenal change where AI will reach PhD level intelligence in the next couple of years. — - — #kaifulee #01 #intelligence #largelanguagemodels #aimodel #aimodels #aichina #aitakeover #todayinai
With the increase of new technology and artificial intelligence, the demand for efficient and powerful semiconductors continues to grow. Researchers at the University of Minnesota have achieved a new material that will be pivotal in making the next generation of high-power electronics faster, transparent and more efficient. This artificially designed material allows electrons to move faster while remaining transparent to both visible and ultraviolet light, breaking the previous record.
The research, published in Science Advances, a peer-reviewed scientific journal, marks a significant leap forward in semiconductor design, which is crucial to a trillion-dollar global industry expected to continue growing as digital technologies expand.
Semiconductors power nearly all electronics, from smartphones to medical devices. A key to advancing these technologies lies in improving what scientists refer to as “ultra-wide band gap” materials. These materials can conduct electricity efficiently even under extreme conditions. Ultra-wide band gap semiconductors enable high-performance at elevated temperatures, making them essential for more durable and robust electronics.
Posted in biotech/medical, robotics/AI | Leave a Comment on Generate: Generate: Biomedicines Announces Multi-Target Collaboration with Novartis to Discover and Develop Protein Therapeutics with Generative AI
Generate Biomedicines is a new kind of therapeutics company—existing at the intersection of biology, machine learning, and biological engineering.
Advancements in deep-tech solutions addressing global healthcare challenges.
The landscape of healthcare is undergoing a radical transformation fueled by deep-tech innovations that tackle some of the most pressing global health challenges. Deep-tech, a term that encompasses technologies grounded in scientific research and engineering advancements, is reshaping diagnostics, treatment modalities, and healthcare delivery systems on a global scale. With increasing demands for accessible, efficient, and equitable healthcare, deep-tech solutions—such as artificial intelligence (AI), advanced robotics, nanotechnology, biotechnology, and quantum computing—are playing pivotal roles in reshaping modern medicine.
This article explores the advancements in deep-tech solutions that are addressing global healthcare challenges and provides insight into how these technologies are likely to shape the future of medicine, impacting medical professionals, patients, and healthcare systems worldwide.
Researchers at Harvard University exploited Marangoni effects to propel their tiny robots.
These bots ease tasks and help humans speed up critical work more accurately.
In this arena, researchers have explored a new way to power robots. Focusing on surface tensions, scientists have developed tiny robots that can perform industrial tasks.
Researchers from Harvard University claim that their tiny robots use the same method to float, allowing beetles to float across ponds and causing Cheerios to cluster together in a bowl.
There’s no AI revolution without an energy revolution, according to leaders in the AI industry.
Tesla Optimus has taken a step closer to human-like dexterity, showcasing its upgraded hands with impressive capabilities. A recent video highlights the robot catching a tennis ball using its new hands, which now feature 22 degrees of freedom. By comparison, human hands have 27 degrees of freedom, making Optimus’ latest enhancements a significant stride in robotic engineering. In May 2024, Elon Musk hinted at these upgrades, and the results are now visible.
This development aligns closely with Neuralink’s recent milestone—the United States Food and Drug Administration has granted approval for the CONVOY Study. This feasibility trial aims to test the Brain-to-Computer-interface N1 Implant alongside assistive robotic arms, hinting at the possibility of collaboration between Tesla Optimus and Neuralink technologies. During a Neuralink update in July, Elon Musk mentioned the potential for Optimus’ limbs to work in sync with the N1 Implant, emphasizing a vision where human minds control robotic systems seamlessly.
Optimus itself is a technical marvel, standing five feet eight inches tall and weighing 125 pounds. Designed for versatility, it is constructed with lightweight yet durable materials and powered by a 2.3 kilowatt-hour battery. This proprietary energy management system ensures efficient operation for tasks ranging from light to intensive. With 40 electromechanical actuators, Optimus offers precise movements and a human-like range of motion. Capable of walking at speeds up to five miles per hour and carrying up to 45 pounds, this robot is designed for real-world utility, blending innovation with practicality.
#teslaoptimusrobot #robottechnology #elonmuskupdates.
Mint’s All About AI Tech4Good Awards recognised impactful AI solutions at the Jio World Centre in Mumbai. The event emphasised purpose-driven innovation, with discussions on ethical AI and community empowerment, showcasing how technology can address pressing social and environmental issues.
Eric Berger expects NASA and the public support for the SpaceX Mars city will surge with the first unmanned landings on Mars.
Originally published on Towards AI.
ABSTRACT: The fundamental problem of causal inference defines the impossibility of associating a causal link to a correlation, in other words: correlation does not prove causality. This problem can be understood from two points of view: experimental and statistical. The experimental approach tells us that this problem arises from the impossibility of simultaneously observing an event both in the presence and absence of a hypothesis. The statistical approach, on the other hand, suggests that this problem stems from the error of treating tested hypotheses as independent of each other. Modern statistics tends to place greater emphasis on the statistical approach because, compared to the experimental point of view, it also shows us a way to solve the problem. Indeed, when testing many hypotheses, a composite hypothesis is constructed that tends to cover the entire solution space. Consequently, the composite hypothesis can be fitted to any data set by generating a random correlation. Furthermore, the probability that the correlation is random is equal to the probability of obtaining the same result by generating an equivalent number of random hypotheses.
