www.linkedin.com/posts/nablahq_we-are-often-asked-how-clinician-feedback-activity-7414289653064847362-2H_6
We are often asked how clinician feedback shapes our approach to training and onboarding in practice, and the answer is simple: we listen closely and translate what clinicians need into practical updates that make adoption easier. ➡ When clinicians asked for t…
ignite.microsoft.com/en-US/sessions/BRK212?source=sessions
Microsoft’s Trustworthy AI approach is grounded in three pillars: commitments, capabilities, and research. We are prioritizing security, sovereignty, sustainability, and safety as core areas of investment, ensuring that AI systems are built responsibly and dep…
aka.ms/AgentFramework/AIShow
Take an in-depth tour of Microsoft's new Agent Framework— converged runtime for Semantic Kernel + AutoGen. From prototyping single agents with Azure OpenAI, ...
aka.ms/goex-ylecun-cite-ai
Yann LeCun is the Chief AI Scientist at Meta, professor at NYU, Turing Award winner, and one of the most influential researchers in the history of AI. Please...
aka.ms/anthropic_privacy
Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.
aka.ms/anthropic_tandc
Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.
www.bbc.co.uk/news/31047780
Microsoft's founder says we should worry that AI escape our control, despite claims to the contrary by a Microsoft Research chief.
doi.org/10.1109%2F93.311653
Video management tools and techniques are based on pixels rather than perceived content. Thus, state-of-the-art video editing systems can easily manipulate such things as time codes and image frames, but they cannot "know," for example, what a basketball is. O…
www.theatlantic.com/business/archive/2014/01/what-jobs-will-the-robots-take/283239
Nearly half of American jobs today could be automated in "a decade or two," according to new research. The question is: Which half?
pubmed.ncbi.nlm.nih.gov/25462637
In recent years, deep artificial neural networks (including recurrent ones) have won numerous contests in pattern recognition and machine learning. This historical survey compactly summarizes relevant work, much of it from the previous millennium. Shallow and…
www.theguardian.com/science/2017/nov/05/computer-says-no-why-making-ais-fair-accountable-and-transparent-is-crucial
As powerful AIs proliferate in society, the ability to trace their decisions, challenge them and remove ingrained biases is a key area of research
www.ted.com/talks/nick_bostrom_what_happens_when_our_computers_get_smarter_than_we_are/transcript
Artificial intelligence is getting smarter by leaps and bounds -- within this century, research suggests, a computer AI could be as "smart" as a human being. And then, says Nick Bostrom, it will overtake us: "Machine intelligence is the last invention that hum…
doi.org/10.1109%2F2.933500
Since the beginnings of computer technology, researchers have speculated about the possibility of building smart machines that could compete with human intelligence. Given the current pace of advances in artificial intelligence and neural computing, such an ev…
venturebeat.com/ai/10-years-on-ai-pioneers-hinton-lecun-li-say-deep-learning-revolution-will-continue
On the 10th anniversary of key research that led to deep learning breakthroughs, AI luminaries say the 'revolution' will continue.
www.scientificamerican.com/article/how-ai-knows-things-no-one-told-it
Researchers are still struggling to understand how AI models trained to parrot Internet text can perform advanced tasks such as running code, playing games and trying to break up a marriage
doi.org/10.1109%2FMIS.2009.75
Within the field of human-level intelligence, researchers are combining a variety of approaches toward the goals of human-like breadth, flexibility, and resilience for artificial intelligence systems. Each of the four papers in this special issue brings a diff…
doi.org/10.1007%2Fs12525-023-00680-1
Recent developments in the field of artificial intelligence (AI) have enabled new paradigms of machine processing, shifting from data-driven, discriminative AI tasks toward sophisticated, creative tasks through generative AI. Leveraging deep generative models,…
doi.org/10.30574%2Fwjarr.2025.25.1.0131
The purpose of this study was to investigate how artificial intelligence (AI) influences and improves computational propaganda and misinformation efforts. The growing complexity of AI-driven technologies, like deepfakes, bots, and algorithmic manipulation, whi…
journalwjarr.com/node/366
The purpose of this study was to investigate how artificial intelligence (AI) influences and improves computational propaganda and misinformation efforts. The growing complexity of AI-driven technologies, like deepfakes, bots, and algorithmic manipulation, whi…
arxiv.org/abs/2502.08640
As AIs rapidly advance and become more agentic, the risk they pose is governed not only by their capabilities but increasingly by their propensities, including goals and values. Tracking the emergence of goals and values has proven a longstanding problem, and…
