AI Discovers New Drugs, NVIDIA Offers Free AI Courses, OpenAI Builds $100B Supercomputer, & More!
Welcome to the AI Search newsletter. Here are the top updates in AI this week.
NVIDIA Launches Free AI Courses
NVIDIA has simplified the process of learning AI by introducing new courses. These courses cover topics such as Generative AI, neural networks, and modern LangChain paradigms. By taking advantage of these valuable resources, individuals can improve their understanding of AI and its applications.
Full Short Films Unveiled by SORA First Users
Microsoft & OpenAI Build $100B Supercomputer
Microsoft and OpenAI are reportedly collaborating on the development of a $100 billion supercomputer named "Stargate" to accelerate the progress of OpenAI's AI models. This ambitious project, set to be one of the most substantial investments in computer science history, aims to utilize specialized server processors in a data center in the US over the next six years. The success of the project hinges on OpenAI's ability to enhance the capabilities of its AI and achieve a level of "superintelligence". Additionally, a smaller supercomputer known as "Phase 4" is in the works for 2026, further emphasizing the ongoing advancements in AI technology.
Murf AI
Introducing Murf, the most versatile AI text-to-speech generator. Create studio-quality voice overs in minutes using lifelike AI voices suitable for podcasts, videos, presentations, and more. Choose from 120+ text to speech voices in 20+ languages, with the ability to add video, music, or images and sync them to the voiceover.
DeepMind Develops AI Fact-Checker
DeepMind introduces SAFE, an AI-powered tool for fact-checking LLMs like ChatGPT. The system addresses the challenge of verifying the accuracy of large language models, which are capable of generating text but often lack precision. The SAFE application automatically evaluates responses from LLMs, identifying inaccuracies by cross-referencing information found through a Google search. Through testing, DeepMind's researchers found that SAFE aligned with human fact-checkers 72% of the time and outperformed them in 76% of cases where disagreements arose.
Humanoid Robot Predicts & Mimics Facial Expressions
Researchers have developed a humanoid robot named Emo that can predict and mimic human facial expressions in real-time. Through the use of 26 actuators and AI models, Emo can anticipate facial expressions in humans and replicate them simultaneously with the person. By training the robot to observe and mimic human movements, the team has been able to create a robot that can make eye contact, anticipate smiles, and engage in nonverbal communication with humans.
Kits AI
Kits.AI is AI platform designed specifically for modern creators in the music industry. It offers a variety of powerful tools to generate, customize, and share artificial voices. Users can alter their voices using AI models of famous artists’ voices licensed from a library. Its advanced AI engine can generate melodies and harmonies, and even suggest instrumentation based on user inputs. This unique blend of AI voice generation and training tools enables musicians and producers to transform their inspiration into reality.
Amazon Invests $2.75B More into Anthropic
Amazon increases its investment in Anthropic to a total of $4 billion. The tech giant will maintain a minority stake in Anthropic, which is a competitor of OpenAI, the maker of ChatGPT. This strategic collaboration aims to enhance customer experiences by developing foundation models for generative AI systems. Amazon will also provide AWS as Anthropic's primary cloud provider and use custom chips to build, train, and deploy AI models.
AI Discovers Drugs to Kill Antibiotic-Resistant Bacteria
AI is being used to develop new antibiotics to combat antibiotic-resistant bacteria such as Acinetobacter baumannii. The AI model, SyntheMol, has created chemical structures and recipes for six new drugs aimed at killing these resistant strains. By training the model on a library of molecular building blocks and chemical reactions, researchers were able to generate thousands of potential antibiotics in a short amount of time.