Datadog launches Toto 2.0, a groundbreaking family of open-weights time series forecasting models scaling up to 2.5 billion parameters, achieving state-of-the-art results across all major benchmarks while being up to 7 times more parameter-efficient than its predecessor.
A new Gallup survey reveals 7 in 10 Americans oppose AI data centers in their communities, with nearly half strongly against them — surpassing even opposition to nuclear plants — as environmental concerns over water, energy use, and pollution drive resistance across party lines.
A new Gallup poll reveals 7 in 10 Americans oppose local data center construction, with bipartisan resistance spanning 75% of Democrats and 63% of Republicans, as environmental concerns, rising costs, and AI distrust fuel a growing public backlash that threatens the future of AI infrastructure expansion across the country.
Google and SpaceX are in active talks to launch orbital data centers in space, though current analysis suggests terrestrial data centers remain far more cost-effective once satellite construction and launch costs are factored in.
Celonis launches a real-time digital twin of business operations called the Celonis Context Model and acquires MIT-founded AI firm Ikigai Labs, combining live operational data with predictive AI to help enterprises like AstraZeneca and Mercedes make smarter, faster decisions.
A new AI framework called AutoTTS automatically discovers test-time scaling strategies for large language models, cutting token usage by nearly 70% while maintaining accuracy — and the entire discovery process costs under $40 and takes less than three hours.
SoftBank's Masayoshi Son is in talks with French President Emmanuel Macron over a multibillion-dollar AI data center investment in France, with Son reportedly floating a figure as high as $100 billion as part of a sweeping global push to build out artificial intelligence infrastructure.
Nvidia surpasses $40 billion in AI investments in 2026, securing major deals with Corning, IREN, and OpenAI to dominate the AI supply chain, but critics warn the strategy may be artificially inflating GPU demand in a move reminiscent of dot-com era vendor financing.
Anthropic signs a massive $1.8 billion, seven-year cloud computing deal with Akamai Technologies as the AI company races to meet surging demand for its artificial intelligence software.
TabPFN launches as an open-source foundation model for tabular data, supporting classification and regression tasks with both local PyTorch and cloud-based inference, while enterprise users gain access to large-scale data support handling up to 10 million rows.