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Who better to answer the pros and cons of artificial intelligence than an actual AI?


Students at Oxford’s Said Business School hosted an unusual debate about the ethics of facial recognition software, the problems of an AI arms race, and AI stock trading. The debate was unusual because it involved an AI participant, previously fed with a huge range of data such as the entire Wikipedia and plenty of news articles.

Over the last few months, Oxford University Alex Connock and Andrew Stephen have hosted sessions with their students on the ethics of technology with celebrated speakers – including William Gladstone, Denis Healey, and Tariq Ali. But now it was about time to allow an actual AI to contribute, sharing its own views on the issue of … itself.

KUALA LUMPUR: More than 21,000 people affected by Malaysia’s worst flooding in years — most of them in Selangor — were sheltering in relief centres on Sunday (Dec 19).

Prime Minister Ismail Sabri Yaakob announced the government would allocate an initial sum of RM100 million for house and infrastructure repairs, and will provide financial aid to affected households.

In a Facebook post, the prime minister said he had “directed all ministries to double up efforts in helping flood operations especially in the severely affected areas as soon as possible”.

Here’s what you need to know.


The James Webb Space Telescope (JWST, or Webb for short) is scheduled to launch on December 24, 2021, at 7:20 Eastern Standard Time.

It will blast off from French Guiana aboard an Ariane 5 ECA rocket, headed for an orbit around the second Lagrange point, or L2, where the gravitational pull of Earth is equal to the gravitational pull of the Sun.

In spring 2020, shortly after the pandemic began, many scientists predicted that the coronavirus would not evolve particularly fast.

But those predictions have been upended time and again — and never more so than with omicron, a variant with an astonishing number of mutations that is rampaging through Europe and South Africa. In New York, cases are suddenly soaring to record levels as holiday parties and sports games are canceled, and California officials are bracing for a similar crisis in the coming weeks.

Once again, uncertainty and worry are rising. No one knows what the next Greek letter variants will unleash.

The many-worlds interpretation of quantum mechanics predicts the formation of distinct parallel worlds as a result of a quantum mechanical measurement. Communication among these parallel worlds would experimentally rule out alternatives to this interpretation. A procedure for “interworld’’ exchange of information and energy, using only state of the art quantum optical equipment, is described. A single ion is isolated from its environment in an ion trap. Then a quantum mechanical measurement with two discrete outcomes is performed on another system, resulting in the formation of two parallel worlds. Depending on the outcome of this measurement the ion is excited from only one of the parallel worlds before the ion decoheres through its interaction with the environment. A detection of this excitation in the other parallel world is direct evidence for the many-worlds interpretation.

Biotechnology is a curious marriage of two seemingly disparate worlds. On one end, we have living organisms—wild, unpredictable celestial creations that can probably never be understood or appreciated enough, while on the other is technology—a cold, artificial entity that exists to bring convenience, structure and mathematical certainty in human lives. The contrast works well in combination, though, with biotechnology being an indispensable part of both healthcare and medicine. In addition to those two, there are several other applications in which biotechnology plays a central role—deep-sea exploration, protein synthesis, food quality regulation and preventing environmental degradation. The increasing involvement of AI in biotechnology is one of the main reasons for its growing scope of applications.

So, how exactly does AI impact biotechnology? For starters, AI fits in neatly with the dichotomous nature of biotechnology. After all, the technology contains a duality of its own—machine-like efficiency combined with the quaintly animalistic unpredictability in the way it works. In general terms, businesses and experts involved in biotechnology use AI to improve the quality of research and for improving compliance with regulatory standards.

More specifically, AI improves data capturing, analysis and pattern recognition in the following biotechnology-based applications:

Now, Stanford engineers have created a new robotic hand, designed with finger pads that can grip like a gecko in order to be able to grip at just the right strength, according to the publication in Science Robotics.

“Anthropomorphic robotic manipulators have high grasp mobility and task flexibility but struggle to match the practical strength of parallel jaw grippers. Gecko-inspired adhesives are a promising technology to span that gap in performance, but three key principles must be maintained for their efficient usage: high contact area, shear load sharing, and evenly distributed normal stress,” write the authors in their study. “This work presents an anthropomorphic end effector that combines those adhesive principles with the mobility and stiffness of a multiphalange, multifinger design.”

By Alex Hill, Senior Quantum Systems Engineer

Qubits are the basic building block of a quantum processor, and are so named because they represent a continuum of complex superpositions of two basic quantum states. The power of qubits comes in part from their ability to encode significantly more information than a classical bit — an infinite set of states between 0 and 1. In mathematical terms, quantum gates that manipulate the state of individual qubits are unitary operators drawn from SU.

Rigetti’s superconducting quantum processors are based on the transmon design [1]. Each physical qubit is an anharmonic oscillator, meaning that the energy gaps between subsequent qubit energy states decrease as the qubit climbs higher up the state ladder. We typically only address the first two states, 0 and 1 (in the literature, sometimes referred to as g(round) and e(xcited)); however, the design of our qubits supports even higher states. The simple structure of the transmon energy levels gives superconducting qubits the unique ability to address many of these states in a single circuit.