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How an MIT research project became a global programming language | MIT News

How an MIT research project became a global programming language | MIT News

It all started with some exasperated emails. Back in 2009, a group of researchers began venting their frustration with the programming languages designed to help scientists and other researchers perform complex mathematical operations and statistical simulations without learning how to code. These programming languages were rigid and slow. If scientists built something that really worked, […]

The three layers of agentic AI security: A defense-in-depth architecture for autonomous agents

The three layers of agentic AI security: A defense-in-depth architecture for autonomous agents

Presented by Nutanix Autonomous systems that can reason, make their own decisions, and execute actions across an environment introduce a category of risk that application-level controls were never built to contain. Treating that risk as a single problem produces incomplete architectures, says Oscar Wahlberg, senior director of product management at Nutanix. "The guardrails to catch […]

a quarter of next year’s business

a quarter of next year’s business

Nvidia has put nearly US$50 billion into the AI labs that buy its chips, and has lined up commitments for more than $500 billion Colette Kress, the company’s chief financial officer, told analysts on August 26 that demand from the labs Nvidia backs with its own balance sheet will contribute toward roughly a quarter of its business […]

Cohere Releases Parse 5 (parse-v5.0): A 2.3B Vision Language Model That Turns Enterprise Documents Into Markdown

Cohere Releases Parse 5 (parse-v5.0): A 2.3B Vision Language Model That Turns Enterprise Documents Into Markdown

Cohere has released Parse (parse-v5.0), a document parsing model aimed at high-volume enterprise ingestion. It is a 2.3B-parameter vision language model with an 8,192-token context window and a ~4.6GB footprint, built on Cohere Labs’ North-Micro-Vision-Instruct architecture. Parse takes a PDF, PPT or JPEG page as a base64-encoded data URI and returns Markdown containing text in […]

XPENG IRON humanoid robot draws record physical AI funding

XPENG IRON humanoid robot draws record physical AI funding

XPENG’s physical AI unit has secured over $900 million at a $6.3 billion valuation to scale its IRON humanoid robot platform. The Chinese electric vehicle maker announced the funding round for its robotics business through a set of share purchase agreements with multiple investors. XPENG says the deal represents the largest single-round private capital raise […]

Scientific Data Analysis with LabPlot in Python: Signal Processing, Spectral Peak Fitting, Visualization, and Batch Automation

Scientific Data Analysis with LabPlot in Python: Signal Processing, Spectral Peak Fitting, Visualization, and Batch Automation

THEMES = { “BlackOnWhite”: dict(bg=”#ffffff”, fg=”#000000″, grid=”#c8c8c8″, cycle=[“#3465a4”, “#cc0000”, “#4e9a06”, “#f57900”, “#75507b”, “#06989a”]), “Dracula”: dict(bg=”#282a36″, fg=”#f8f8f2″, grid=”#44475a”, cycle=[“#8be9fd”, “#ff79c6”, “#50fa7b”, “#ffb86c”, “#bd93f9”, “#f1fa8c”]), “SolarizedDark”: dict(bg=”#002b36″, fg=”#93a1a1″, grid=”#0f4b57″, cycle=[“#268bd2”, “#dc322f”, “#859900”, “#b58900”, “#6c71c4”, “#2aa198″])} class XYCurve(AbstractAspect): def __init__(self, name, x=None, y=None, lineStyle=”-“, lineWidth=1.6, symbolStyle=None, symbolSize=4., color=None, alpha=1., zorder=2): super().__init__(name) self.xColumn, self.yColumn, self.color, self.alpha = x, y, […]

Paving the way for greener ammonia production | MIT News

Paving the way for greener ammonia production | MIT News

Ammonia is one of the most important chemicals produced in the world, ranking second only to sulfuric acid in the total volume produced each year. It is used mostly to make fertilizer, which is essential to feeding the world’s population. Yet its production accounts for up to 2 percent of the world’s energy consumption and […]