The Rise Of Explainable AI: Bringing Transparency And Trust To Algorithmic Decisions
As the "black-box" problem creates challenges for AI, explainable AI can help reshape business-to-business operations by ...
On The AI Playing Field, A Robust Data Strategy Is The MVP
Above all, data must be connected to be usable. Entity Resolution (ER) plays a crucial role in connecting disparate data. ER ...
Semiconductor Engineering11d
AI In Data Management Has Limits
Trusting which data to use and what can be deleted still requires human oversight; startups are at a disadvantage.
Less supervision, better results: Study shows AI models generalize more effectively on their own
Training LLMs and VLMs through reinforcement learning delivers better results than using hand-crafted examples.
Who’s using AI the most? The Anthropic Economic Index breaks down the data
Anthropic uncovers AI's true workforce impact: 57% augmentation vs 43% automation across industries, based on 4 million Claude interactions.
New Scientist7d
AI chip smaller than a grain of salt uses light to decode data
A tiny chip on the tip of a fibre-optic cable can passively harness light to perform AI computations, dramatically reducing ...
Turns Out AI Is More Empathetic Than Allstate’s Insurance Reps
Allstate is discovering soul-less generative AI models, made up of entirely data and code, are more empathetic than a lot of ...
Techopedia7d
AI Training Data Has Run Out: Where Do We Go From Here?
What happens when AI training data runs out? Is this a breaking point for AI or the best thing that ever happened to it?
The Washington Post7d
Ultra-efficient AI won’t solve data centers’ climate problem. This might.
When Chinese AI start-up DeepSeek announced a chatbot that matched the performance of cutting-edge models such as ChatGPT with a fraction of the computing power, it sparked a glimmer of hope that ...