Data is the new science. Big Data holds the answers. Are you asking the right questions?"
— Patrick P. Gelsinger
Seedance 2.0, an AI model released by Bytedance has caught the world’s attention with its hyper realistic models.
Britain has been hit hardest by AI-driven workplace changes, with businesses reporting an 8% net job loss — the highest among peers like the U.S., Japan, Germany and Australia, according to a Morgan Stanley report cited by Bloomberg.
Microsoft AI Chief Mustafa Suleyman has given an 180-month deadline for majority of the blue collar jobs getting automated by artificial intelligence. But what does the data say?
AI is a system built by humans and their choices, limited by human data. It is exceptionally good at certain tasks while equally fallible at others. And it is no where near to human intelligence let alone “superintelligence”. Here’s an article debunking five common myths about artificial intelligence.
AI can help you think, plan, and write. But when it comes to love, heartbreak, and life‑changing relationship choices, handing the steering wheel to a chatbot can quietly turn risky, even dangerous.
How intelligent assistants like Robonaut and CIMON are paving the way for AI companions that could one day act as an astronaut’s doctor, engineer and counsellor on months‑long missions to Mars and beyond.
AI models are transforming industries. However, when even their creators can’t fully explain how they work, trust, safety and regulation all hit a wall. This is the “black box” problem.
From Shannon’s “chess machines” to Deep Blue and AlphaZero, chess has been the sandbox where researchers turned abstract ideas about machine intelligence into systems that could challenge the best human minds.
