In 80 hours, Microsoft’s AI tool narrowed 32 million theoretical materials to 18, leading scientists to synthesize one that can decrease lithium usage in batteries by 70%. An AI program has pinpointed a synthetic material, absent in nature, that can potentially decrease lithium usage in batteries by as much as 70%. Out of 32 million […]
AI Rapidly Created a Low-Lithium Battery with a Novel Material Read More »
In increasingly mobile-dependent lives, people entrust their smartphones with various sensitive tasks, from financial transactions to work-related activities and even documenting personal musings through apps like Notes. However, a recent study conducted by MIT researchers sheds light on a potential privacy threat associated with the unassuming ambient light sensor in most phones. The Vulnerability of
Phone Light Sensor: A Potential Tool for Unauthorized Surveillance Read More »
The Skyted mask has been specifically crafted to safeguard the confidentiality of calls, ensuring a secure environment for private conversations. For those engaging in frequent confidential phone conversations, resorting to covering your mouth and speaking softly is a less than optimal method for preserving privacy. This is precisely where the Skyted Silent Mask aims to
Privacy-Ensuring Mask Designed for Secure Confidential Calls Read More »
Aggregates of laboratory-grown brain cells linked to a computer demonstrate basic capabilities in speech recognition and solving mathematical problems. Feng Guo, a bioengineer at Indiana University, Bloomington, and his team have made significant progress in showcasing how brain-inspired computer neural networks can enhance artificial intelligence capabilities. Brainoware Breakthrough They cultivated specialized stem cells into neurons,
Voice Recognition is Achieved Using Brain Tissue on a Chip Read More »
Anyone who has tried to use an alphabetical keyboard is well-acquainted with the seemingly illogical QWERTY layout. The debate persists on why this design emerged and why, after nearly 150 years, a more efficient alternative has yet to be widely adopted. The QWERTY layout, named after the first six letters of the Latin alphabet, was
What’s the Reason Behind the Adoption of the QWERTY Keyboard Layout? Read More »
Google has introduced its impressive next-generation Gemini AI, asserting its superiority over OpenAI’s GPT-4 and human experts in nearly all significant evaluations. Gemini AI demonstrates proficiency in comprehending images, video, audio, text, and code, with plans to acquire additional senses in the future. Scoring 90.0% on the Massive Multitask Language Understanding (MMLU) test, Gemini AI
Google’s Gemini AI Beats GPT & Human Experts Across 57 Subjects Read More »
Researchers at the Australian National University (ANU) have found that artificial intelligence (AI)-generated white faces now exhibit a level of realism surpassing actual human faces. This phenomenon, however, does not extend to images of people of color, revealing a potential bias in AI algorithms due to the predominant training on white faces. The implications of
Hyper-Realistic Artificial Intelligence Faces Outperform Real Faces Read More »
Researchers search for efficient, active substances to combat diseases, often relying on compounds that interact with proteins that trigger physiological actions. Due to the abundance of chemical compounds, this search resembles finding a needle in a haystack. Drug discovery leverages scientific models, and with the advent of AI, machine learning applications, such as graph neural
Can Graph Neural Networks Truly Predict Drug Molecule Effectiveness? Read More »
A collaborative effort between biomedical researchers at Novartis Institutes for Biomedical Research and Microsoft Research AI4Science is breaking new ground in teaching AI systems to facilitate medicine discovery. Their study, featured in Nature Communications, harnesses chemists’ feedback to provide intuitive guidelines for an AI model. Exploring AI-Assisted Drug Discovery with Chemist Intuition In a pioneering
Improving AI Intuition in the Discovery of New Medicines Read More »
By utilizing synchronized video captured using a pair of smartphones, scientists have developed an open-source motion-capture application. This app collects data on human movements and employs artificial intelligence for swift analysis, making it suitable for clinical applications like rehabilitation, pre-surgery planning, and disease diagnostics. Remarkably, it accomplishes this at a mere 1% of the cost
The App Acquires Advanced Motion Data at Just 1% of the Regular Cost Read More »