NVIDIA recently announced that its open-source BioNeMo™ biomolecular AI framework has gained widespread adoption in the pharmaceutical field, attracting significant attention from pharmaceutical companies, biotech innovators, and AI researchers. The introduction of this framework marks the formal entry of AI-assisted drug development into the supercomputing era. As a specialized AI toolkit for biomolecular research, the BioNeMo framework offers revolutionary breakthroughs for the pharmaceutical industry. Researchers can leverage this framework to significantly enhance the computational scale of AI models, analyze massive datasets more efficiently, and achieve remarkable advancements.

Recently, xAI engineer Hieu Pham posted an 'explosive' message on social media claiming that xAI's large language model Grok3 had successfully proven the Riemann Hypothesis, leading to a halt in the model's training. This news quickly sparked heated discussions in the AI community, with netizens expressing shock and struggling to discern the truth. After all, the Riemann Hypothesis is one of the seven Millennium Prize Problems, hailed as the 'crown jewel' of conjectures, its difficulty is well understood. Hours later, Pham revealed in another post that it was just a joke.

The European Union recently released a draft of guidelines for the behavior of General-Purpose AI (GPAI) models, aimed at providing companies with a framework to comply and avoid hefty fines. The document is set to be finalized in May and outlines risk management guidelines, offering a blueprint for compliance and avoidance of significant penalties. GPAI refers to AI that has been trained with a total computational power exceeding 10²⁵ FLOP. Companies expected to be bound by the EU guidelines include OpenAI, Google, Meta, Anthropic, and Mistral.

American scientists recently published significant research findings in the journal Nature: the artificial intelligence model FastGlioma, jointly developed by the University of Michigan and the University of California, San Francisco, can quickly assess the presence of cancerous tumor residue within ten seconds during brain tumor surgeries, bringing a revolutionary breakthrough to neurosurgery. This innovation combines microscopic optical imaging with AI foundational models. The research team utilized over 11,000 surgical samples and 4 million microscopic images for pre-training, employing the University of Michigan's self-developed stimulated Raman tissue imaging technology.

Recently, a new study from the University of Michigan found that an energy-efficient method for training large language models can achieve similar results in the same amount of time while reducing energy consumption by 30%. This method can save enough energy to power 1.1 million American households by 2026. The researchers developed a software tool named Perseus that identifies the critical path, which is a series of subtasks requiring the longest time to complete. Then, Perseus reduces the processor speed on non-critical paths so that all tasks can finish simultaneously.

Apple has recently launched the testing of its new artificial intelligence software suite, 'Apple Intelligence,' in the U.S., attracting attention from tech enthusiasts. This software rollout marks a significant advancement for Apple in the field of artificial intelligence, particularly in writing assistance and voice assistant capabilities. Apple plans to expand these features to other English-speaking markets by December and expects to roll them out to users in the European Union by April 2025. Image source note: Image generated by AI, image licensed by Midj.

Vienna-based AI governance and compliance solutions provider Daiki GmbH today announced the completion of a €1.5 million seed funding round. The funds will be used to support the company's expansion into the European market and product development, marking a significant step for Daiki in promoting the responsible deployment of AI by European enterprises. Daiki offers SaaS compliance solutions tailored to the EU AI Act and ISO standards, including ISO 13485 certification for medical device manufacturers. The product, developed by a multidisciplinary team of experts, includes integrated documentation and quality management.

Recently, the sales performance of Meta's smart glasses, launched in collaboration with Ray-Ban, has been impressive in Europe. In some stores, Meta's smart glasses have even surpassed traditional Ray-Ban sales prior to the launch of AI features. According to the latest report, the smart glasses named Ray-Ban Meta have become the best-selling product in 60% of Ray-Ban stores. This information comes from the CFO of EssilorLuxottica.

In the cryptocurrency market, a new meme coin based on Solana called Goatseus Maximus (abbreviated as GOAT) saw its price soar over 12,000% within 24 hours of its launch, reaching an all-time high of $0.4664, attracting widespread attention from cryptocurrency enthusiasts worldwide.

Nvidia recently released a new container security application that allows developers to customize it to meet their needs for AI-driven cybersecurity. Deloitte has been announced as one of the first users. Nvidia's NIM Agent Blueprint includes everything enterprise developers need to build and deploy customized generative AI applications that can quickly analyze vulnerabilities in software containers. The application uses Nvidia's NIM microservices and Morp.

Recently, Deloitte conducted a survey from June 28 to August 12, 2024, among 30,252 consumers and employees in Belgium, France, Germany, Ireland, Italy, Poland, Spain, Sweden, Switzerland, the Netherlands, and the UK. The results reveal that 44% of respondents have used generative artificial intelligence (Gen AI), 22% have not used it but are familiar with it, while 34% feel unfamiliar or uncertain about generative AI tools. Approximately one-third are users from the AI generation.