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Can Humans Teach Robots To Think Like Us?

Although robots are more than capable today of carrying out all kinds of business tasks efficiently and accurately, the concept of building machines that can think like humans has always been a dream for tech companies and smart city developers. However, the actual way in which the human mind works and processes information is up for debate, with several parties having conflicting opinions regarding the same. Once enough data is generated, simulation models can be created to build software that can think along the same rational or emotional lines as humans. Human thinking is generally influenced by a variety of factors—cognitive, behavioral, geometric, kinematic and physical. Using cognitive modeling, such factors can be considered while attempting to create robots that think and behave like humans.

The concept of human thinking is still too vague to be accurately replicated in robots. Even then, multiple types of approaches could be taken to reach the ideal end result—enabling AI and robotic tools to think like humans.

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Teaching robots to think like humans may be the next frontier for tech developers and researchers involved in the ongoing development of technologies such as AI and robotics.

TSMC invests in new capacity despite forecasts chip demand will ease

Last year, Germany spent $53 billion on defense. This year, TSMC is spending $44 billion on chip factories. (In 2019, TSMC only spent $14.9 billion, so they are spending insane amounts of money trying to fix the chip shortage.) Pretty much everyone in the chip business is also dramatically increasing their spending as well.


TSMC investment will “put a ceiling” on Samsung, Intel’s foundry plans.

Why Do Machine Learning Models Die In Silence?

What is concept drift?

Concept drift occurs when there are changes in the distribution of the training set examples.

At the most basic level, concept drift causes data points that were once considered an example of one concept to be seen as another concept entirely over time.

For instance, fraud detection models are at risk for concept drift when the concept of fraud is constantly changing.

This can cause model performance to degrade, especially over extended periods where concept drift continues to occur without being detected by your monitoring systems.


A critical problem for companies when integrating machine learning in their business processes is not knowing why they don’t perform well after a while. The reason is called concept drift. Here’s an informational guide to understanding the concept well.

Prager Metis sets up first CPA firm in metaverse

Prager Metis has become the first CPA firm to open up a metaverse headquarters. The firm, which in real life is based in New York, is setting up shop in Decentraland, a 3D virtual world, as part of a joint venture with Banquet LLC, a metaverse studio.

The firm purchased the piece of virtual real estate on Dec. 28, a three-story digital structure. On the first floor is an open floor plan that doubles as a gallery space for nonfungible tokens from Prager Metis clients along with a large entertainment area. The second floor will provide more of a working space with meeting rooms and conference capabilities. The third floor will serve as a rooftop space where Prager Metis intends to host events and even live entertainment.

The metaverse has been attracting attention ever since Facebook’s parent company announced a name change last October to Meta to highlight its interest in developing technology for virtual reality and augmented reality. More businesses have followed suit in setting up shop in the metaverse. Prager Metis isn’t the first firm to dip its toes in the waters: PricewaterhouseCoopers’ Hong Kong firm announced last month that it had bought virtual land on another metaverse platform, the Sandbox, but Prager Metis is going further by setting up an actual headquarters in Decentraland. It plans to focus on advisory services for clients and potentially for other accounting firms as well. The firm already has clients who have entered the rapidly growing market for nonfungible tokens, or NFTs, which use blockchain technology to create collectibles and artwork that people bid on to buy and trade.

Genflow to become Europe’s first longevity biotech IPO

The company is developing novel therapeutics targeting aging in humans and dogs by using genetically modified adeno-associated virus (AAV) vectors to deliver copies of the SIRT6 gene variant found in centenarians. SIRT6 has already been shown to have significant capabilities to repair DNA damage, and Genflow’s aim is to show that it can also improve healthspan and, potentially, increase lifespan. “Our business model is to develop our lead compound, GF-1002, that has already yielded encouraging pre-clinical results,” Leire told us. “We are currently undertaking pre-clinical trials which are expected to take approximately two years.


SIRT6 targeting longevity biotech announces intention to float on the London Stock Exchange, with IPO later this month.

Disney Patents Virtual World Simulator That Doesn’t Require Headsets, Goggles, Or Smartphones

The immersive tech could eventually allow park visitors to interact with Mickey Mouse and Elsa as images, not cast members in costume.


Disney is joining the metaverse party.

We aren’t talking online gigs or business meetings with avatars. Disney wants to enhance the virtual dimension of its theme parks with its Virtual World Simulator, new technology for which it was granted a patent in the U.S. on December 28.

The system could be used as follows: a user enters a venue or ride in which images are projected onto flat and curved surfaces, creating an immersive virtual environment. The user’s movements are tracked and the projections change accordingly, maintaining the sense of a complex, coherent world. Their shifting viewpoint is gauged with a technique called Simultaneous Localization and Mapping, or SLAM.

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