Synthetic Sciences Releases OpenScience: An Open-Source, Model-Agnostic AI Workbench for Machine Learning, Biology, Physics, and Chemistry Research - TrendCloud
MarktechPost·
Synthetic Sciences Releases OpenScience: An Open-Source, Model-Agnostic AI Workbench for Machine Learning, Biology, Physics, and Chemistry Research
Synthetic Sciences has released OpenScience, an Apache-2.0 AI workbench for scientific research. It works with any frontier or open-weight model, using your own API keys. It runs the full loop across machine learning, biology, physics, and chemistry. It ships 250+ editable skills and queryable scientific databases, and it runs on your own infrastructure.
The post Synthetic Sciences Releases OpenScience: An Open-Source, Model-Agnostic AI Workbench for Machine Learning, Biology, Physics, and Chemistry Research appeared first on MarkTechPost.
An international research consortium has demonstrated that machine learning can dramatically accelerate the discovery of superconducting materials, using AI to screen vast numbers of elemental combinations and identify the most promising candidates for detailed quantum analysis. The SuperC consortium, led by Aalto University Professor Päivi Törmä, used the approach to identify two previously unknown superconductors, […]
The post Machine learning algorithm sets XRP price for July 31, 2026 appeared on BitcoinEthereumNews.com.
As XRP faces continued volatility, Finbold’s AI Agent projects limited upside for the cryptocurrency through the end of the month. Using a machine learning-driven forecasting system powered by multiple large language models, the platform predicts XRP will trade at $1.21 on July 31, 2026, representing a 6.78% gain from its current price of $1.13. XRP price prediction for July 1. Source: Finbold The forecast was generated on July 7, with the models analyzing a combination of technical indicators, including the Moving Average Convergence Divergence (MACD), MACD Slope, Relative Strength Index (RSI), Stochastic Oscillator, and the 50-day and 200-day simple moving averages (SMA). Among the individual models, Grok 4.1 delivered the most bullish outlook, projecting XRP at $1.25, which would represent a 10.62% increase from the current price. Claude Opus 4.6 forecast XRP at $1.21, implying
Microsoft's strategic shift towards AI over gaming highlights a tech industry trend prioritizing machine learning investments over traditional gaming.
The post Microsoft cuts 4,800 jobs as Xbox gets a hard reset, signaling broader tech belt-tightening appeared first on Crypto Briefing.
Mistral AI released Leanstral 1.5, a free Apache-2.0 code agent model for Lean 4. It saturates miniF2F and solves 587 of 672 PutnamBench problems. The 119B mixture-of-experts activates 6.5B parameters per token. We break down its architecture, benchmarks, real bug-finding case studies, and deployment code.
The post Mistral AI Releases Leanstral 1.5: An Apache-2.0 Lean 4 Code Agent Model Solving 587 of 672 PutnamBench Problems appeared first on MarkTechPost.
Anthropic Claude Science now integrates the NVIDIA BioNeMo Agent Toolkit to accelerate computational life sciences research. Anthropic has launched the public beta of Claude Science, an AI workbench built for scientific research. The platform enables scientists to converse directly with digital agents using natural language to execute end-to-end research workflows. This system connects natively to […]
The post NVIDIA BioNeMo accelerates Anthropic Claude Science appeared first on AI News.
Congratulations to the Berkeley Artificial Intelligence Research (BAIR) Lab class of 2026! This year, BAIR celebrates another remarkable group of Ph.D. graduates whose curiosity, creativity, and perseverance have pushed the frontiers of artificial intelligence and machine learning.
Their work spans the breadth of modern AI — robotics and embodied intelligence, large language models and reasoning, computer vision, generative modeling, AI safety, human-AI interaction, AI for science and healthcare, and much more. Along the way, they have published influential research, built systems with real-world impact, mentored their peers, and shaped the BAIR community for the better.
Now they are headed everywhere ideas travel: to faculty and postdoctoral positions, to industry research labs, and to startups of their own founding — and several are still exploring what comes next and would love to hear from you.
Please join us in celebrating the achievements of these wonderful graduates. We are prou
Check out this practical list of Python projects covering AI automation, machine learning, APIs, dashboards, data analysis, and portfolio-ready apps, with guides, demos, repositories, and datasets.
