Back to the Future

How to develop a human brain in a machine? The quandary to solve the most difficult puzzle – in this case, the brain – and to simulate in a machine is yet to be solved and implemented.?Scientists are toying with numerous neural models – Feedforward artificial neural networks, Perceptron, Multilayer Perceptron neural networks, Recurrent neural networks and others –?but are far from achieving a breakthrough.

Researchers are now revisiting the once-popular Good-Old-Fashioned Artificial Intelligence?(GOFAI) for constructing autonomous intelligent software as intelligent as a human. Symbolic AI systems are one of the examples of GOFAI that aims to take machines to human levels of comprehension. Symbolic AI played upon the human brain’s ability to figure out the world in terms of symbolic interconnections and representations. There’s a set of rules to define the concepts that capture everyday knowledge.?

Symbolic models have the ability to grasp compositional and causal knowledge, which can pave the way for the flexible generalisation of AI models. While Symbolic models focus on compositional and causal knowledge, neural networks in deep learning are able to draw directly from raw data, which means they have to be retrained over and over to learn new tasks.?

Recently, experts came up with a solution when they suggested amalgamating Symbolic AI and neural networks to compensate for the other’s weaknesses. This gave birth to eurosymbolic AI. This new AI method will have neural networks that can extract statistical structures from files of raw data, which gives context about images and sound—the deep learning part—along with symbolic representations of problems and logic.?

The approach has even found its way into very recent models like CICERO, an agent announced by Meta AI in November last year. CICERO was the first AI to reach human-level performance at Diplomacy, a strategy-based board game.?

With all this new development, we may be too close to achieving artificial general intelligence (AGI), aka human-like intelligence.?

Read the full story?here.?

AIM VIDEO

The Rise and Fall of Netscape

In 1994, Netscape released its first commercial browser for free. It was one of the most important companies of its time. However, despite a stellar IPO, Netscape failed to compete with Microsoft’s Internet Explorer and ended up disbanding. But not before leaving a rich legacy behind. Watch this comprehensive 4-min video on Netscape’s legacy.

BI MARKET

Only a few will survive

Since a spate of mergers and acquisitions in 2019, the business intelligence market has seen further consolidation between tech giants and smaller players offering BI solutions.?

From Google’s acquisition of Looker to Salesforce’s acquisition of Tableau, there is a clear trend of big tech giants going after smaller companies with unique BI offerings. Even in 2022, the industry saw companies like ‘Citrix’, an industry giant in their own right, get acquired by ‘TIBCO’, a pre-dotcom boom BI mainstay.

Read the full story?here.

AIM RESEARCH

What did people search for in AI?

It was an interesting tech year that had just gone by. We witnessed the rise of some popular AI products such as text-to-image generators like Dall-E 2, Midjourney, and Stable Diffusion, besides the widening use cases of Metaverse, US-China chip war, tech sector layoffs, crypto volatility and much more.

The top ten AI and emerging technologies which trended in search in 2022 were UPI, accelerated data science, Elon Musk, tech layoffs, metaverse, moonlighting, Github Copilot, recession, generative AI and large language models.

In this article, we gauge the buzz created by different innovations in tech to engage the community’s curiosity.?

Read the full report?here.