SK Hynix and Micron Join Trillion-Dollar Club Amid AI Boom

South Korea's SK Hynix and US-based Micron have become the latest companies to reach a market capitalisation of $1 trillion, bringing the total number of firms that have achieved this milestone to 16. The surge in their valuations is attributed to the growing demand for memory chips driven by advancements in artificial intelligence technology.

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Generative AIAI Search+2

Generative AIAI SearchMarketingStartup

Google Transforms Search with AI-Generated Answers, Leaving Brands in the Dark

Google's I/O event officially announced the integration of AI-generated answers into its search results, fundamentally altering the landscape for brands that have long relied on traditional search strategies. This shift leaves many companies uncertain about how they are being portrayed to customers through these AI responses. In a discussion on TechCrunch's Equity podcast, Matt Thompson, VP of partnerships at Scrunch, shared insights on the implications of these changes for marketers and founders. With the evolving nature of search, brands are urged to adapt their strategies to remain visible in this new AI-driven environment.

Startup FundingOpenAI+2

Startup FundingOpenAISpaceXIPO

Powerlaw, Investor in SpaceX and OpenAI, Launches IPO on Nasdaq

Powerlaw, an investment firm with stakes in high-profile companies such as SpaceX and OpenAI, has debuted on Nasdaq amid a competitive initial public offering (IPO) landscape. The entry of Powerlaw into the public market highlights the growing interest in tech investments, particularly in firms that are involved in pioneering sectors like aerospace and artificial intelligence. This IPO is set against the backdrop of increasing activity in the market, signaling a renewed appetite for tech-related investments.

Bloomberg TechnologyRead →

Protein BiologyStructure Prediction+2

Protein BiologyStructure PredictionTherapeutic DesignLanguage Models

ESMFold2: New Model Revolutionizes Protein Structure Prediction and Therapeutic Design

ESMFold2 has been announced as a state-of-the-art structure prediction model that excels in predicting protein structures from single sequences and multiple sequence alignments (MSAs). The model demonstrates improved performance on benchmarks related to protein-protein interactions, particularly in predicting antibody-antigen complexes. It has been developed to facilitate protein biology research, achieving high success rates in designing miniprotein binders and single chain antibodies across five therapeutic targets relevant to cancer and immunology. Additionally, an extensive atlas of 6.8 billion proteins and 1.1 billion predicted structures will be released, enhancing the understanding of protein interactions crucial for drug discovery. The model utilizes advanced language modeling techniques to derive insights into protein biology without prior knowledge, highlighting its potential to significantly impact therapeutic design and accelerate scientific research.

@ylecunRead →

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BenchmarkAgenticAI ModelsEnterprise Adoption

ITBench-AA Reveals Frontier Models Underperform on Agentic Enterprise IT Benchmark

The ITBench-AA benchmark, developed by Artificial Analysis in collaboration with IBM, indicates that frontier models scored below 50% on the inaugural evaluation for agentic enterprise IT tasks. This benchmark assesses the performance of advanced AI models in executing tasks relevant to enterprise IT environments. The findings highlight significant challenges faced by these models in meeting the requirements of enterprise applications, suggesting a need for further improvement and fine-tuning in their development.

HuggingFace BlogRead →

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Elon Musk Aims to Propel AI Initiatives in Space with SpaceX IPO

Elon Musk's plans for advancing artificial intelligence in space are gaining momentum with the upcoming IPO of SpaceX. This significant financial move is expected to enhance Musk's AI ambitions, extending the technology's application beyond Earth. The implications of this development could reshape the landscape of AI utilization in space exploration and related industries.

Financial Times TechRead →

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SemiconductorsChip OptimizationHuaweiAI Chips

Huawei's Chip Queen Unveils Innovative Semiconductor Optimization Strategy

Tingbo He, president of Huawei's chip-design subsidiary HiSilicon, announced at the IEEE International Symposium on Circuits and Systems that the company has developed a novel method to optimize semiconductors, aiming to close the performance gap between Chinese and Western chips. This new approach, termed Tau's Scaling Law, shifts focus from increasing the number of components on chips to enhancing computational speed across entire systems. He promised that Huawei would demonstrate the effectiveness of this method with a new chip by winter 2026. The announcement comes amid ongoing U.S. export controls that limit Huawei's collaboration with leading chip manufacturers, forcing the company to innovate within the constraints of its domestic supply chain. He indicated that the company has found ways to advance chip performance beyond traditional scaling methods, potentially reshaping the competitive landscape in the semiconductor industry.

WiredRead →