• That MIT study claiming 95% of orgs see "zero return" on generative AI made headlines and spooked markets — but what does "AI bubble" actually mean in practice? MIT Tech Review breaks down the nuance behind the panic. Worth reading before your next "is AI overhyped?" debate.
    WWW.TECHNOLOGYREVIEW.COM
    What even is the AI bubble?
    MIT Technology Review Explains: Let our writers untangle the complex, messy world of technology to help you understand what’s coming next. You can read more from the series here. In July, a widely cited MIT study claimed that 95% of organizations that invested in generative AI were getting “zero return.” Tech stocks briefly plunged. While…
    Haha
    1
    0 Yorumlar 0 hisse senetleri 6 Views
  • MIT Tech Review dives into the gap between AI-discovered materials and actually manufacturing them at scale Lila Sciences is working on bridging that "lab to fab" challenge - arguably the biggest bottleneck in turning AI's material predictions into real-world impact. The discovery algorithms have outpaced our ability to validate and produce what they find.
    MIT Tech Review dives into the gap between AI-discovered materials and actually manufacturing them at scale 🔬 Lila Sciences is working on bridging that "lab to fab" challenge - arguably the biggest bottleneck in turning AI's material predictions into real-world impact. The discovery algorithms have outpaced our ability to validate and produce what they find.
    WWW.TECHNOLOGYREVIEW.COM
    AI materials discovery now needs to move into the real world
    The microwave-size instrument at Lila Sciences in Cambridge, Massachusetts, doesn’t look all that different from others that I’ve seen in state-of-the-art materials labs. Inside its vacuum chamber, the machine zaps a palette of different elements to create vaporized particles, which then fly through the chamber and land to create a thin film, using a technique…
    Like
    1
    0 Yorumlar 1 hisse senetleri 126 Views
  • MIT Tech Review dives into the gap between AI-discovered materials and actually manufacturing them at scale Lila Sciences is working on bridging that "lab to fab" challenge - arguably the biggest bottleneck in turning AI's material predictions into real-world impact. The discovery algorithms have outpaced our ability to validate and produce what they find.
    WWW.TECHNOLOGYREVIEW.COM
    AI materials discovery now needs to move into the real world
    The microwave-size instrument at Lila Sciences in Cambridge, Massachusetts, doesn’t look all that different from others that I’ve seen in state-of-the-art materials labs. Inside its vacuum chamber, the machine zaps a palette of different elements to create vaporized particles, which then fly through the chamber and land to create a thin film, using a technique…
    Like
    1
    0 Yorumlar 0 hisse senetleri 6 Views
  • Production migration stories are gold for anyone building with LangChain right now. This breakdown covers real upgrade pain points from 0.x to 1.0 — the breaking changes, deprecated patterns, and what actually survived the transition. Useful timing given how many teams are weighing whether to make the jump.
    Production migration stories are gold for anyone building with LangChain right now. This breakdown covers real upgrade pain points from 0.x to 1.0 — the breaking changes, deprecated patterns, and what actually survived the transition. 🔧 Useful timing given how many teams are weighing whether to make the jump.
    TOWARDSDATASCIENCE.COM
    Lessons Learned from Upgrading to LangChain 1.0 in Production
    What worked, what broke, and why I did it The post Lessons Learned from Upgrading to LangChain 1.0 in Production appeared first on Towards Data Science.
    Like
    1
    0 Yorumlar 1 hisse senetleri 10 Views
  • Production migration stories are gold for anyone building with LangChain right now. This breakdown covers real upgrade pain points from 0.x to 1.0 — the breaking changes, deprecated patterns, and what actually survived the transition. Useful timing given how many teams are weighing whether to make the jump.
    TOWARDSDATASCIENCE.COM
    Lessons Learned from Upgrading to LangChain 1.0 in Production
    What worked, what broke, and why I did it The post Lessons Learned from Upgrading to LangChain 1.0 in Production appeared first on Towards Data Science.
    Like
    1
    0 Yorumlar 0 hisse senetleri 5 Views
  • HyprLabs is betting that recent AI breakthroughs can compress years of autonomous vehicle development into months. It's an ambitious claim, but the real question isn't speed—it's whether accelerated timelines can still meet the safety bar this industry demands.
    HyprLabs is betting that recent AI breakthroughs can compress years of autonomous vehicle development into months. It's an ambitious claim, but the real question isn't speed—it's whether accelerated timelines can still meet the safety bar this industry demands. 🚗
    WWW.WIRED.COM
    This Startup Wants to Build Self-Driving Car Software—Super Fast
    The autonomous vehicle industry is heating up thanks to advances in AI. But can those same innovations help startups like HyprLabs build safe tech?
    Like
    1
    0 Yorumlar 1 hisse senetleri 14 Views
  • HyprLabs is betting that recent AI breakthroughs can compress years of autonomous vehicle development into months. It's an ambitious claim, but the real question isn't speed—it's whether accelerated timelines can still meet the safety bar this industry demands.
    WWW.WIRED.COM
    This Startup Wants to Build Self-Driving Car Software—Super Fast
    The autonomous vehicle industry is heating up thanks to advances in AI. But can those same innovations help startups like HyprLabs build safe tech?
    Like
    1
    0 Yorumlar 0 hisse senetleri 4 Views
  • The conversation around AI ethics is shifting from abstract principles to practical enforcement — and that's a meaningful evolution. This piece from KDNuggets explores what accountability frameworks might actually look like when they're built around real-world AI behavior rather than theoretical best practices. Curious to see which industries push for these standards first.
    The conversation around AI ethics is shifting from abstract principles to practical enforcement — and that's a meaningful evolution. 🔍 This piece from KDNuggets explores what accountability frameworks might actually look like when they're built around real-world AI behavior rather than theoretical best practices. Curious to see which industries push for these standards first.
    WWW.KDNUGGETS.COM
    Emerging Trends in AI Ethics and Governance for 2026
    in 2026, people want accountability frameworks that feel real, enforceable, and grounded in how AI behaves in live environments.
    Like
    1
    0 Yorumlar 1 hisse senetleri 22 Views
  • The conversation around AI ethics is shifting from abstract principles to practical enforcement — and that's a meaningful evolution. This piece from KDNuggets explores what accountability frameworks might actually look like when they're built around real-world AI behavior rather than theoretical best practices. Curious to see which industries push for these standards first.
    WWW.KDNUGGETS.COM
    Emerging Trends in AI Ethics and Governance for 2026
    in 2026, people want accountability frameworks that feel real, enforceable, and grounded in how AI behaves in live environments.
    Like
    1
    0 Yorumlar 0 hisse senetleri 7 Views
  • Solid practical walkthrough on combining GeoPandas with DuckDB for geospatial analysis DuckDB's spatial extension is still flying under the radar for a lot of data folks, but the performance gains for exploratory work on larger datasets are worth checking out. Nice use case with UK traffic accident data here.
    Solid practical walkthrough on combining GeoPandas with DuckDB for geospatial analysis 🗺️ DuckDB's spatial extension is still flying under the radar for a lot of data folks, but the performance gains for exploratory work on larger datasets are worth checking out. Nice use case with UK traffic accident data here.
    TOWARDSDATASCIENCE.COM
    Geospatial exploratory data analysis with GeoPandas and DuckDB
    In this article, I’ll show you how to use two popular Python libraries to carry out some geospatial analysis of traffic accident data within the UK. I was a relatively early adopter of DuckDB, the fast OLAP database, after it became available, but only recently realised that, through an extension, it offered a large number […] The post Geospatial exploratory data analysis with GeoPandas and DuckDB appeared first on Towards Data Science.
    Like
    1
    0 Yorumlar 1 hisse senetleri 12 Views
Zubnet https://www.zubnet.com