Blog Posts | Joshua Berkowitz

131 Articles

machine learning ×

Perplexity is Redefining Search APIs for the Age of AI

Today’s AI-driven products demand search infrastructure that is fast, scalable, and deeply context-aware. As intelligent agents and real-time knowledge access become central to new applications, tradi...

AI search API architecture benchmarking context engineering information retrieval machine learning Perplexity Search API

Oct 2, 2025

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FlowState: IBM’s Lightweight Powerhouse for Flexible Time-Series Forecasting

Accurately predicting future trends from historical data has always been a complex challenge, especially as real-world datasets rarely conform to a single, predictable pattern. IBM’s FlowState model h...

AI forecasting FlowState foundation models IBM Research machine learning state-space models time-series

Sep 30, 2025

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DeepMind's AI Nearly Clinched Gold at the International Mathematical Olympiad

Artificial intelligence has taken a remarkable leap by matching the prowess of elite young mathematicians. DeepMind’s AlphaProof and AlphaGeometry 2 models recently performed at a silver-medal standar...

AlphaGeometry AlphaProof artificial intelligence formal reasoning IMO machine learning mathematics problem-solving

Sep 30, 2025

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Claude Sonnet 4.5 Is Transforming Enterprise AI on Databricks

Enterprises using Databricks now have direct access to Claude Sonnet 4.5, Anthropic’s powerful latest SOTA AI model. This integration empowers organizations to extract deeper insights from massive poo...

AI Claude Sonnet 4.5 Databricks data governance enterprise data generative AI machine learning

Sep 30, 2025

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How Foundation Models Are Transforming Scientific Discovery

Foundation models such as large language models have made waves in language processing and computer vision, but their leap into scientific disciplines is both exciting and complex. Scientific fields d...

data efficiency deep learning foundation models machine learning physical constraints scientific discovery time series forecasting uncertainty quantification

Sep 29, 2025

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Gemini Robotics 1.5: Transparent, Adaptable AI Agents

The age of intelligent robots operating alongside humans in real-world environments is rapidly approaching. With Google DeepMind's Gemini Robotics 1.5 and Gemini Robotics-ER 1.5, robots are making rem...

AI agents embodied intelligence Gemini Robotics general-purpose robots Google DeepMind machine learning robotics safety

Sep 27, 2025

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DeepSeek-R1 Is Redefining AI Reasoning Through Reinforcement Learning

Reasoning underpins complex tasks like solving math problems, writing code, and making logical deductions. While recent LLMs have made headlines with their reasoning skills, these advances typically d...

AI DeepSeek-R1 language models machine learning reasoning reinforcement learning safety STEM

Sep 26, 2025

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Few-Shot Learning Revolutionizes Time-Series Forecasting: Inside Google's TimesFM-ICF

Google’s latest AI breakthrough in time-series forecasting proposes a system that instantly adapts to new challenges with only a handful of examples provided. For industries such as retail, energy, an...

AI research business analytics few-shot learning forecasting foundation models machine learning time-series transformers

Sep 25, 2025

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WisdomAI’s Autonomous Agents Are Transforming Data Analytics

WisdomAI’s autonomous AI agents are offering businesses a revolutionary way to analyze their data and gain strategic advantages using conversational AI. The move from data knowledge workers to AI powe...

AI agents automation business intelligence data analytics data integration enterprise technology machine learning

Sep 23, 2025

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PosterGen: Academic Poster Creation with Multi-Agent AI

Creating compelling conference posters is a challenge for any researcher. You have to accurately and compelling decide which content and how it will be presented. After months of rigorous research, wr...

academic tools artificial intelligence design automation machine learning multi-agent systems poster design research tools scientific communication

Sep 22, 2025

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Github Repos

MIT-IBM Watson Lab: How AI Scaling Laws Are Transforming LLM Training Efficiency

Training large language models (LLMs) is an expensive endeavor, driving the need for strategies that maximize performance while minimizing costs. Researchers at the MIT-IBM Watson AI Lab have develope...

AI cost efficiency LLM training machine learning model development research scaling laws

Sep 22, 2025

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Speculative Cascades: The Hybrid Solution Driving Smarter, Faster LLM Inference

As user expectations and AI adoption soar, delivering fast, cost-effective, and high-quality results from LLMs has become a pressing goal for developers and organizations alike. Speculative cascades a...

AI efficiency AI optimization cascades language models LLM inference machine learning speculative decoding

Sep 21, 2025

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