Dive in and find out how the evolution of AI tasks, neural networks, advanced research, and applications are paving the path to a stronger artificial intelligence (AI) – even as some challenges envelope this road.
Artificial intelligence (AI) and machine learning (ML) are evolving from breakthroughs to mainstream technologies at a fast pace- and in many areas. So grab this wave of opportunity.
It takes not just one blow, but many, for a bat to become a Batman. And it all boils down to the tasks they do.
In the wise and penetrative words of Alan Perlis, “A year spent in artificial intelligence is enough to make one believe in God.” Let’s raise a toast to Alan and chat more about artificial intelligence (AI) in the same vein. AI looks like a miracle. And it’s a miracle created by humans – to a large extent. That’s why AI is becoming as powerful and mysterious as a Batman. It has so many shades, and it can fly to unimaginable heights. If we could look at some initial encounters, that should be enough to make us utter a big ‘Wow’.
ai, artificial intelligence, Machine Learning
Intelligent Systems – The Next Step in Human Evolution
Why did humans discover fire? Why did someone hit the button on the Gutenberg Press? What difference did a wheel make in the journey of mankind? The answer to all such developments from the stone age to the AI age, is captured in one word – augmentation.
From fraud-proof BFSI applications, autonomous cars, chatbots to crime-fighting facial recognition, machine intelligence is redefining so much in the world we inhabit. But how do you know how it works? How are these applications so accurate, fast, real-time, and imaginative beyond our imagination? The answer lies in what happens inside the models that run them. The way algorithms are structured and run makes machines churn out so many decisions and insights- and so swiftly.
ai, AI/ML, artificial intelligence, voice recognition, voice technology
Voice and Language-Driven Intelligence
Until a few years back, speaking to a voice assistant while cooking new recipes or asking for directions would have been either akin to insanity or the equivalent of having a genie in a bottle. But look at how normal it is now. It is hard to imagine a road trip or a workout session without the assured, helpful and insightful voice of artificial intelligence (AI) around.
IIM Calcutta and TalentSprint’s AI-Powered Marketing Programme alumni shared how the programme equips them with capabilities. How did the programme impact their careers? Why do professionals trust this programme? And much more.
In the ‘AI in Stock Markets’ Workshop, Expert Quant Trader, Dr. Anand Jayaraman demonstrated how traders optimize an ML-driven trading strategy in a live setting.
ai, AI-Powered Marketing, Machine Learning
AI is Transforming Marketing and Here’s What You Need to Do
Marketers can leverage AI’s power in making decisions on campaigns, budgets, channels, identifying opportunities, creating marketing USP and more. In an interactive session hosted by ET BRANDEQUITY.com, experts shared some exciting insights on this.
ai, AI & Applications, AI & IoT, artificial intelligence, Machine Learning
Artificial Intelligence (AI) Goals
“The rise of powerful AI will be either the best, or the worst thing, ever to happen to humanity. We do not yet know which.” – Stephen Hawking
ai, AI & Applications, AI/ML, artificial intelligence, Machine Learning
Artificial Intelligence (AI) Myths
Will AI replace jobs? Can we swap AI and ML? Can we deploy AI without a plan? Let’s find out.
ai, AI & Applications, AI/ML, artificial intelligence, Machine Learning
Artificial Intelligence (AI) – What is It and Why does it Matter?
Artificial intelligence, or AI as it’s more commonly known, has been gaining momentum for a while now. In the past few years alone we have seen its revolutionary impact on almost every industry out there and experts predict that this trend will only continue to grow in popularity over time.
“Any sufficiently advanced technology is indistinguishable from magic.” – Arthur Clarke
When we think of artificial intelligence (AI), we think of machines, computer systems, algorithms, and models trying to get closer to human intelligence. Today, this space straddles many areas, like natural speech recognition, expert systems, machine learning, general AI applications, and more. The future, however, is mapped towards singularity:
In our 10th edition of DeepTalk event titled ‘Pandemic Pandemonium’, Dr. Ramanan Laxminarayan, Leading Epidemiologist and Economist, NYT Op-Ed Columnist, Senior Research Scholar, Princeton University, and one of the Former Advisors to the Obama administration, shared intriguing answers to several thought-provoking questions.