PodsByVishwaaz: Recent Episodes
PodsByVishwaaz
A podcast for everything cool, amazing and fun about tech. From AI to Astronomy, mathematics NASA's latest space exploration to the tech challenges being solved in tribal Africa.
“Digitalization offered many of us a lifeline during the COVID-19 pandemic. However, some digital divides were highlighted, such as the unequal access to connectivity; the unequal access to reliable information and knowledge; and the unequal capacities and competencies to create value through digital technology.”
Tawfik Jelassi, UNESCO Assistant Director-General for Communication and Information
Startups were asked for their solutions on how to harness AI to tackle challenges related to biodiversity, gender equality and language barriers. Selected finalists reflect UNESCO’s commitment to ensuring access to information and harnessing new technologies to improve people's lives and tackle sustainable development challenges.
At its 40th session in November 2019, UNESCO’s General Conference decided to develop an international standard-setting instrument on the ethics of AI, in the form of a recommendation. Since then, UNESCO has led a multidisciplinary, multicultural and pluralist effort to produce a preliminary report and a first draft of the Recommendation, shared with Member States in September 2020 for their comments. These written comments were taken into consideration by the Director-General when preparing her final report on the Recommendation, containing the draft of the Recommendation on the Ethics of AI.
UNESCO proposes the development of a comprehensive global standard-setting instrument to provide AI with a strong ethical basis, that will not only protect but also promote human rights and human dignity. If adopted, it will be an ethical guiding compass and a global normative bedrock allowing to build a strong respect for the rule of law in the digital world.
Moral decisions are made by everyone daily. When a driver chooses to slam on the brakes to avoid hitting a jaywalker, they are making the moral decision to shift risk from the pedestrian to the people in the car. How should the AI respond?
Type “greatest leaders of all time” in your favourite search engine and you will probably see a list of the world’s prominent male personalities. How many women do you count?
Listen about the man who is running the show and running the Jaugurnaut that is Google's cloud computing
Quantum computing is still in its early stages. And the Chinese are already years ahead.
A group of engineering students of a city-based private university have developed a "driverless autonomous" electric four-wheeler using Artificial Intelligence (AI) with the intention of reducing accidents and deaths caused by human errors. This vehicle has been developed by the students of mechanical engineering and electronics and telecommunications branches of the MIT World Peace University.
Possibly a new breakthrough has been achieved in the domain of artificial intelligence. According to a new study, by a team of researchers from The Neuro (Montreal Neurological Institute-Hospital) and the Quebec Artificial Intelligence Institute, the artificial intelligence networks modelled on human brain connectivity are equipped to perform cognitive tasks efficiently and effectively.
We have often seen politicians busy staring at their phones or tablets even when an important debate or a discussion over a proposed law is underway. The issue is, of course, not confined to any specific country's political representatives. Interestingly, now there's a software that keeps a check on politicians with such behaviour.
Conversational agents are a dialogue system through NLP to respond to a given query in human language. It leverages advanced deep learning measures and natural language understanding to reach a point where conversational agents can transcend simple chatbot responses and make them more contextual. Conversational AI encompasses three main areas of artificial intelligence research — automatic speech recognition (ASR), natural language processing (NLP), and text-to-speech (TTS or speech synthesis). These dialogue systems are utilised to read from the input channel and then reply with the relevant response in graphics, speech, or haptic-assisted physical gestures via the output channel.
It’s impossible to imagine the future of work and labor without taking into account India’s future as the world’s fifth-largest economy. With a population of 1.3 billion people, the country is already having difficulty hiring its large and rising workforce. According to Ernst & Young’s research, the Indian workforce grows by 17 million people per year, yet only 5.5 million jobs are produced.
In the digital world, we use the term ‘futuristic organization’ to represent companies that are making maximum use of technology. The dominance of artificial intelligence in the commercial space has brought up hope even to falling economies. Fortunately, organizations are adopting disruptive trends like machine learning and its applications to automate decision-making.
Nuclear physics may be one of machine learning's newest frontiers
Since the 1940s, physicists have tried, but no one has yet created an efficient nuclear fusion reaction. AI and machine learning (ML) have, across many industries and applications, proved themselves quite capable at detecting subtle patterns in data that humans can't recognize. So could neural nets and the GPUs that power them help in nuclear fusion? The challenge, and it's a big one, would be to accelerate the worldwide quest to tame instabilities in hot plasmas and ultimately provide a source of sustainable, and carbon-free power.
Thanks to artificial intelligence (AI) and machine learning (ML), robots are now able to do these complex tasks. The advancement of AI and ML is already taking over jobs that were until now reserved for professionals and people with expertise.
Despite the massive amount of IoT data captured, organizations are falling short of their enterprise performance management goals because AI and ML aren’t scaling for the real-time challenges organizations face. If you solve the challenge of AI and ML workload scaling right from the start, IIoT and IoT platforms can deliver on the promise of improving operational performance.