AI technologies are making 🌊waves, but not always for the better--especially when it comes to the environment. Mobilizing AI for climate solutions can help tip the scales ⚖️
The Standford AI Index tracks ongoing trends in AI.
Read the full report here: https://t.co/10ZXwynXo4
☀️What's up at the office on Saturdays? At Hyperion Lab, you'll find SpikeUp AI hosting their 💻Data Engineering Bootcamp, which assists 30 refugees from diverse backgrounds in launching a new career in the tech industry. 🚀 We're very proud to support this incredible initiative!
⚖️For us, responsible and ethical AI starts with a diverse team. We can't move forward until everyone's voice is heard 🔊
The Standford AI Index tracks current and ongoing trends in AI.
Read the full report here: https://t.co/Li92ZkWstB
Watch as Ben, one of our beta testers from Germany, demonstrates how the feature works by scanning his train tickets and then proceeds to ask it a multitude of questions to gather information about his train reservation.
🔔Our startups are hiring! Are you looking to join a passionate team tackling cutting-edge challenges using AI? Check out the open roles here: https://t.co/2CKfkfkQu0
Ready for NVIDIA's #Grace CPU? Watch our demonstration from #GTC23 of top machine learning frameworks, #HPC applications, and tools for data science on the NVIDIA Arm HPC DevKit. Watch now. https://t.co/MeBg9D8kUh
The Quarterly Startup Report for Q1 2023 is out!
This quarter, Dutch startups raised more than €420M in venture capital, reveals the quarterly data analysis. Key insights from the report: https://t.co/TY5sBATo8o
#SPON#NLtech#AmsterdamStartups
AI prompting is the next biggest skill to learn.
Companies are now paying up to $335,000/year for Prompt Engineers.
Here are the most Advanced ChatGPT prompting techniques that most people don't know about:
A thread 🧵
@EU_Startups-Summit is just around the corner & we're looking forward to meet exciting startups & ecosystem players on April 20-21. Meet us in Barcelona to discuss the possibilities to work with our corporate #DeutscheBahn on the innovations of tomorrow 🚀https://t.co/dHWPk41M8j
WDYT about @ezraklein's interesting thought that our current obsession with realistic AI chatbox functions may be distracting from more impactful discoveries like these in gene mapping, medicine, and biology?🤔
DeepMind developed an AI program that created a 3D mapping of all 200 million proteins known to science. The CEO predicts it would have taken humans a billion years to complete this project.
We always knew our startups were 📈trendsetters! It's never been a better time to incorporate AI into business 🤝 or invest in AI-first business models. The Standford AI Index tracks current and ongoing trends in AI. Read the full report here: https://t.co/C27iEZNIb5
Energy optimization is a🔝concern.
AI Index Report found (ex.) MLM BLOOM’s training run emitted 25 times more carbon than a single air traveler on a one-way trip from New York to San Francisco ✈️😷
BIG steps here!
CV-CUDA Beta announced at #GTC23 optimizes pre- and post-processing for higher cloud throughput at a quarter of the cost and energy.
Read how @Microsoft, @Tencent, @Baidu, and @Runway are adopting CV-CUDA: https://t.co/627zXMzCxQ
'Shoot for the moon' is what the TU Delft students behind @LunarZebro took very literal. The Lunar Zebro, a six-legged, autonomous robot, is currently being readied for outer space 🌒 "The ultimate goal is to deploy a swarm of mini moon rovers." Read more https://t.co/60QBFNOCTR
Reading @MetaAI's Segment-Anything, and I believe today is one of the "GPT-3 moments" in computer vision. It has learned the *general* concept of what an "object" is, even for unknown objects, unfamiliar scenes (e.g. underwater & cell microscopy), and ambiguous cases.
I still can't believe both the model and data (11M images, 1B masks) are OPEN-sourced. Wow.😮
What's the secret sauce? Just follow the foundation model mindset:
1. A very simple but scalable architecture that takes multimodal prompts: text, key points, bounding boxes.
2. Intuitive human annotation pipeline that goes hand-in-hand with the model design.
3. A data flywheel that allows the model to bootstrap itself to tons of unlabeled images.
IMHO, Segment-Anything has done everything right.
Get inspired at the TU Delft AI Meet Up on the 13th of April! At this meet up we’ll take a closer look at AI for mobility 🚆 We'll give insight into how the TU Delft and the NS are working together to improve our mobility. More information: https://t.co/kBWGo0CToc
⏪Last week, we hosted 25 business angels from Estonia (EstBAN) as they got a sneak peek👀 into the most recent product developments by our startups Natuition, AGMAH, Purple Gaze, and Geotattle. We hope our new Estonian friends left as inspired💡 as we were by the demos!